UK Status, Change and Projections of the Environment (UK-SCaPE)
Lead Research Organisation:
NERC CEH (Up to 30.11.2019)
Department Name: Directors and Science Coordinators
Abstract
The UK faces significant challenges in the 21st century due to mounting pressure on air and soil quality, water and food security, and the conservation of biodiversity. To provide effective solutions to these problems a paradigm shift is required that moves the current focus from isolated local issues towards a landscape scale, integrated delivery which provides multiple benefits for people, the economy and the environment. To enable the development of such integrated systems understanding we will direct our national capability to deliver two work packages:
WP1: Through observation and analysis of key metrics across land, water, soil, air and biodiversity, we will seek to understand what controls the status and dynamics of environmental assets. In partnership we will deliver a fully integrated National Scale Assessment of the UK environment. We will undertake long term large scale surveys and draw on partner data (providing data through portals to the community) to produce the evidence base needed to answer the following questions:
Land: Which land cover classes are changing in spatial extent, condition or connectivity?
Biodiversity: What is the current status and pattern of change in UK biodiversity, ecosystem services and their drivers?
Soil: What is the direction and magnitude of change in soil condition and function across the UK and how do multiple pressures interact to create the spatial and temporal patterns observed?
Air: What drives the fluxes of pollutants and greenhouse gases?
Water: What are the environmental determinants of water flows and soil moisture?
Together, these national scale datasets provide the capacity to answer cross cutting questions. These data are also critical for model parameterisation and development in WP2 and across our national capability portfolio (LTS Multiple centre and ODA activities). Engaging further with the user community through fora such as the UK Earth Observation Framework, Learned Societies and key stakeholders will enable the community to continually challenge and prioritise what we collectively are monitoring in the natural environment; the why and how.
WP2: The empirical evidence on links between environmental assets such as water, biodiversity, ecosystems, soil and the benefits they deliver such as clean air, wildlife and food, is fragmented and incomplete. We will develop evidence chains (which link data from WP1 and elsewhere, and the latest process understanding encapsulated in improved models) to explore how environmental assets combine to influence benefits to humans. We have focused on four priorities:
Air: How can we protect human and ecosystem health by improving our understanding of interactions between air pollution, vegetation and climate?
Water: How will future climate influence water availability and quality?
Biodiversity: How can we resolve conflicts to protect biodiversity and commitments to sustainable energy generation?
Land & soil: How will future land management affect soils and biodiversity, whilst enabling efficient and resilient production?
These underpinning activities also support two research programmes addressing defined knowledge gaps.
RP1: SPEED: The UK lacks co-ordinated projections of environmental drivers that are linked to ongoing international research. CEH will provide spatially explicit projections of climate change, land use change and a specified set of pollutants that are derived from the Shared Socio-economic Pathways developed under the IPCC. This will provide the research community and other users with a coherent framework for assessing environmental change impacts.
RP2: SOC-D: Recent research initiatives have concluded that biological and structural factors, over chemical factors, influence the dynamics of Soil Organic Carbon (SOC) more than previously thought. This new understanding will be explored experimentally and captured in a new process-based SOC model, which will be open access.
WP1: Through observation and analysis of key metrics across land, water, soil, air and biodiversity, we will seek to understand what controls the status and dynamics of environmental assets. In partnership we will deliver a fully integrated National Scale Assessment of the UK environment. We will undertake long term large scale surveys and draw on partner data (providing data through portals to the community) to produce the evidence base needed to answer the following questions:
Land: Which land cover classes are changing in spatial extent, condition or connectivity?
Biodiversity: What is the current status and pattern of change in UK biodiversity, ecosystem services and their drivers?
Soil: What is the direction and magnitude of change in soil condition and function across the UK and how do multiple pressures interact to create the spatial and temporal patterns observed?
Air: What drives the fluxes of pollutants and greenhouse gases?
Water: What are the environmental determinants of water flows and soil moisture?
Together, these national scale datasets provide the capacity to answer cross cutting questions. These data are also critical for model parameterisation and development in WP2 and across our national capability portfolio (LTS Multiple centre and ODA activities). Engaging further with the user community through fora such as the UK Earth Observation Framework, Learned Societies and key stakeholders will enable the community to continually challenge and prioritise what we collectively are monitoring in the natural environment; the why and how.
WP2: The empirical evidence on links between environmental assets such as water, biodiversity, ecosystems, soil and the benefits they deliver such as clean air, wildlife and food, is fragmented and incomplete. We will develop evidence chains (which link data from WP1 and elsewhere, and the latest process understanding encapsulated in improved models) to explore how environmental assets combine to influence benefits to humans. We have focused on four priorities:
Air: How can we protect human and ecosystem health by improving our understanding of interactions between air pollution, vegetation and climate?
Water: How will future climate influence water availability and quality?
Biodiversity: How can we resolve conflicts to protect biodiversity and commitments to sustainable energy generation?
Land & soil: How will future land management affect soils and biodiversity, whilst enabling efficient and resilient production?
These underpinning activities also support two research programmes addressing defined knowledge gaps.
RP1: SPEED: The UK lacks co-ordinated projections of environmental drivers that are linked to ongoing international research. CEH will provide spatially explicit projections of climate change, land use change and a specified set of pollutants that are derived from the Shared Socio-economic Pathways developed under the IPCC. This will provide the research community and other users with a coherent framework for assessing environmental change impacts.
RP2: SOC-D: Recent research initiatives have concluded that biological and structural factors, over chemical factors, influence the dynamics of Soil Organic Carbon (SOC) more than previously thought. This new understanding will be explored experimentally and captured in a new process-based SOC model, which will be open access.
Planned Impact
UK SCAPE beneficiaries can be divided the following categories based on stakeholder and sphere of influence analyses:
Policy stakeholders: including Defra, BEIS, the devolved governments, Natural England (NE), Environment Agency (EA), JNCC, Scottish Natural Heritage (SNH), Scottish Environment Protection Agency (SEPA), DAERA, Forestry Commission, Climate Change Committee, Climate Change Adaptation Sub-Committee, Flood Forecasting Centre, Met Office, Natural Capital Committee, Natural Hazards Partnership, Office for National Statistics, public health authorities (e.g. Public Health England), local government, European and international agencies (e.g. European Environment Agency (EEA), European Food Safety Authority (EFSA), International Panel on Biodiversity and Ecosystem Services (IPBES), United Nations Framework Convention on Climate Change (UNFCC)). CEH has strong working relationships with the evidence and policy teams within Defra and the devolved governments, and staff are members of many of their committees and working groups.
Third sector: including landowning NGOs such as RSPB, PlantLife and National Trust; NGOs involved in biodiversity monitoring, e.g. Butterfly Conservation, Buglife, British Trust for Ornithology (BTO); and the National Biodiversity Network (NBN) and the specialist biological recording societies and schemes. CEH has long-standing collaborative relationships with these organisations and many other major environmental NGOs.
Land management community: including farmers, agribusiness (e.g. Agrii, Syngenta, Bayer, Unilever) and their representative bodies, e.g. National Farmers Union (NFU), and knowledge exchange brokers (e.g. ADHB, LEAF). CEH has strong links with these groups through previous and current projects (e.g. ASSIST).
Energy industry: CEH has delivered projects and consultancy work for the offshore renewable energy industry and their representative bodies, e.g. Forth and Tay Offshore Wind Developers Group (FTOWDG), and has undertaken research on bioenergy for the Energy Technologies Institute (ETI).
Water industry: CEH has strong links via previous projects and consultancy work for many of the
UK water companies including Anglian Water, United Utilities, Scottish Water, Thames Water and Welsh Water.
Research organisations: particularly those co-delivering LTSM National Capability, Higher Education Institutes, and other Government funded research institutes such as Scotland's Main
Research Providers.
Professional bodies and learned societies: British Ecological Society, British Hydrological Society, Royal Society.
Policy stakeholders: including Defra, BEIS, the devolved governments, Natural England (NE), Environment Agency (EA), JNCC, Scottish Natural Heritage (SNH), Scottish Environment Protection Agency (SEPA), DAERA, Forestry Commission, Climate Change Committee, Climate Change Adaptation Sub-Committee, Flood Forecasting Centre, Met Office, Natural Capital Committee, Natural Hazards Partnership, Office for National Statistics, public health authorities (e.g. Public Health England), local government, European and international agencies (e.g. European Environment Agency (EEA), European Food Safety Authority (EFSA), International Panel on Biodiversity and Ecosystem Services (IPBES), United Nations Framework Convention on Climate Change (UNFCC)). CEH has strong working relationships with the evidence and policy teams within Defra and the devolved governments, and staff are members of many of their committees and working groups.
Third sector: including landowning NGOs such as RSPB, PlantLife and National Trust; NGOs involved in biodiversity monitoring, e.g. Butterfly Conservation, Buglife, British Trust for Ornithology (BTO); and the National Biodiversity Network (NBN) and the specialist biological recording societies and schemes. CEH has long-standing collaborative relationships with these organisations and many other major environmental NGOs.
Land management community: including farmers, agribusiness (e.g. Agrii, Syngenta, Bayer, Unilever) and their representative bodies, e.g. National Farmers Union (NFU), and knowledge exchange brokers (e.g. ADHB, LEAF). CEH has strong links with these groups through previous and current projects (e.g. ASSIST).
Energy industry: CEH has delivered projects and consultancy work for the offshore renewable energy industry and their representative bodies, e.g. Forth and Tay Offshore Wind Developers Group (FTOWDG), and has undertaken research on bioenergy for the Energy Technologies Institute (ETI).
Water industry: CEH has strong links via previous projects and consultancy work for many of the
UK water companies including Anglian Water, United Utilities, Scottish Water, Thames Water and Welsh Water.
Research organisations: particularly those co-delivering LTSM National Capability, Higher Education Institutes, and other Government funded research institutes such as Scotland's Main
Research Providers.
Professional bodies and learned societies: British Ecological Society, British Hydrological Society, Royal Society.
Organisations
- NERC CEH (Up to 30.11.2019) (Lead Research Organisation)
- British Trust for Ornithology (Collaboration)
- Science and Advice for Scottish Agriculture (Collaboration)
- James Hutton Institute (Collaboration)
- KEELE UNIVERSITY (Collaboration)
- UNIVERSITY OF READING (Collaboration)
- University of Surrey (Collaboration)
- British Ecological Society (Collaboration)
- University of Cape Coast (Collaboration)
- Natural Environment Research Council (Collaboration)
- Karlsruhe Institute of Technology (Collaboration)
- Southern University of Science and Technology (Collaboration)
- British Bryological Society (Collaboration)
- BT Group (Collaboration)
- University College Cork (Collaboration)
- Northern Ireland Department of Agriculture, Environment and Rural Affairs (DAERA) (Collaboration)
- F C Palmer and Sons (Collaboration)
- Lancaster University (Collaboration)
- Environmental Institute (Collaboration)
- Teagasc (Collaboration)
- The Mammal Society (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- G'S FRESH LIMITED (Collaboration)
- British Society of Soil Science (Collaboration)
- Fraunhofer Society (Collaboration)
- Animal and Plant Health Agency (Collaboration)
- World Wide Fund for Nature (WWF UK) (Collaboration)
- Royal Entomological Society (Collaboration)
- Sichuan University (Collaboration)
- Argans Ltd (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- European Citizen Science Association (Collaboration)
- Chalmers University of Technology (Collaboration)
- UNIVERSITY OF ABERDEEN (Collaboration)
- Butterfly Conservation (Collaboration)
- University of Montana (Collaboration)
- Earthwatch Institute (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- German Centre for Integrative Biodiversity Research (Collaboration)
- National Centre for Atmospheric Science (NCAS) (Collaboration)
- University of Buenos Aires (Collaboration)
- Scotland's Rural College (Collaboration)
- Woodland Trust (Collaboration)
- University of Plymouth (Collaboration)
- Joint Nature Conservation Committee (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- Polybell Farms Ltd (Collaboration)
- Department For Environment, Food And Rural Affairs (DEFRA) (Collaboration)
- MYERSCOUGH COLLEGE (Collaboration)
- University of the Balearic Islands (Collaboration)
- UNIVERSITY OF YORK (Collaboration)
- International Soil Moisture Network (Collaboration)
- Zoological Society of London (Collaboration)
- Norwegian Meteorological Institute (Collaboration)
- National and Kapodistrian University of Athens (Collaboration)
- COVENTRY UNIVERSITY (Collaboration)
- Sustainable Soils Alliance (Collaboration)
- MARINE BIOLOGICAL ASSOCIATION (Collaboration)
- Forestry Commission (Collaboration)
- Naturalis Biodiversity Center (Collaboration)
- The UK Bees, Wasps and Ants Recording Society (Collaboration)
- The Wellcome Trust Sanger Institute (Collaboration)
- Helmholtz Association of German Research Centres (Collaboration)
- FOREST RESEARCH (Collaboration)
- Senckenberg Museum (Collaboration)
- Natural Resources Wales (Collaboration)
- University of Sheffield (Collaboration)
- The Lakes Free Range Egg Co (Collaboration)
- DURHAM UNIVERSITY (Collaboration)
- National History Museum, Paris, France (Collaboration)
- Natural England (Collaboration)
- Bishop Burton College (Collaboration)
- CRANFIELD UNIVERSITY (Collaboration)
- University of Florence (Collaboration)
- University of Stirling (Collaboration)
- Natural History Museum (Collaboration)
- UNIVERSITY OF LINCOLN (Collaboration)
- Scottish Environment Protection Agency (Collaboration)
- MARIE CURIE (Collaboration)
- Fera Science Limited (Collaboration)
- British Geological Survey (Collaboration)
- UNIVERSITY OF NEWCASTLE (Collaboration)
- German Federal Environment Agency (Collaboration)
- UNIVERSITY OF THE HIGHLANDS AND ISLANDS (Collaboration)
- National Physical Laboratory (Collaboration)
- Chilterns Area of Outstanding Natural Beauty (AONB) (Collaboration)
- The Wildlife Trusts of Bedfordshire, Cambridgeshire, and Northamptonshire (Collaboration)
- NatureScot (Collaboration)
- British Arachnological Society (Collaboration)
- French National Institute of Agricultural Research (Collaboration)
- University of Grenoble (Collaboration)
- St Mary's University, Twickenham (Collaboration)
- Microbiology Society (Collaboration)
- Cardiff University (Collaboration)
- Rothamsted Research (Collaboration)
- GB Non Native Species Secretariat (Collaboration)
- Government of Wales (Collaboration)
- Botanical Society of Britain and Ireland (Collaboration)
- Masaryk University (Collaboration)
- University of Arizona (Collaboration)
- Universidade de São Paulo (Collaboration)
- European Union (Collaboration)
- Plantlife (Collaboration)
- AGRI-FOOD AND BIOSCIENCES INSTITUTE (Collaboration)
- Environment Agency (Collaboration)
- National Institute of Agronomy and Botany (NIAB) (Collaboration)
- Freshwater Habitats Trust (Collaboration)
- Ricardo UK Ltd (Collaboration)
Publications
Abbasi A
(2020)
Reviews and syntheses: Soil responses to manipulated precipitation changes - an assessment of meta-analyses
in Biogeosciences
Abdalla M
(2023)
Evaluation of the ECOSSE Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites
in Agronomy
Abrams J
(2023)
Committed Global Warming Risks Triggering Multiple Climate Tipping Points
in Earth's Future
Acker P
(2021)
Strong survival selection on seasonal migration versus residence induced by extreme climatic events.
in The Journal of animal ecology
Title | WP1 Edin Non-GHG: Great British Railway Journeys, Series 14 Episode 8 Paddington to Ongar, first aired on BBC2 28/06/2023 (https://www.bbc.co.uk/programmes/m001nc69) |
Description | Dr Carole Helfter appeared on the televised broadcast Great British Railway Journeys to talk about GHG and air quality monitoring atop the BT Tower in central London. |
Type Of Art | Film/Video/Animation |
Year Produced | 2023 |
Impact | Large scale dissemination of UKCEH research to the British public. |
Title | WP1.3 BRC: Brilliant bugs - Royal Mail |
Description | Informing development of Royal Mail Stamps |
Type Of Art | Artwork |
Year Produced | 2020 |
Impact | Media activity and web presence |
URL | https://shop.royalmail.com/special-stamp-issues/brilliant-bugs |
Title | WP1.3 BRC: Citizen Science Animation |
Description | Animation about about invasive species, citizen science and data standards |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | See link for info: https://alien-csi.eu/animations |
URL | https://alien-csi.eu/animations |
Title | WP1.3 BRC: Contributed short film to Oxford University Natural History Museum Collections |
Description | Permanent display at the museum. |
Type Of Art | Film/Video/Animation |
Year Produced | 2022 |
Impact | None |
Title | WP1.3 BRC: Field Guide to Ladybirds of Britain and Ireland |
Description | Field Guide to Ladybirds of Britain and Ireland with illustrations by Richard Lewington |
Type Of Art | Image |
Year Produced | 2018 |
Impact | . |
URL | https://www.bloomsbury.com/uk/field-guide-to-the-ladybirds-of-great-britain-and-ireland-978147293569... |
Title | WP1.3 BRC: Let's go live with Maddie |
Description | Helen Roy featured on a live stream YouTube video on insects - Insects Special (by Maddie Moate) |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | See link: https://www.youtube.com/watch?v=9JXnvYsG3S0 |
URL | https://www.youtube.com/watch?v=9JXnvYsG3S0 |
Title | WP1.3 BRC: Mosquitoes and me/Pollinators Miniguide |
Description | Leaflets which introduce the ecology of mosquitoes with a focus on invasive alien mosquitoes. |
Type Of Art | Artwork |
Year Produced | 2021 |
Impact | see link for info: https://alien-csi.eu/dissemination-materials |
URL | https://alien-csi.eu/dissemination-materials |
Title | WP1.3 BRC: NPMS Species Guide & NPMS Habitat Guide |
Description | Guide to ~400 easily identifiable plant species; guide to 28 semi-natural habitats (descriptions, photos) |
Type Of Art | Artefact (including digital) |
Year Produced | 2019 |
Impact | Greater public knowledge of plant species and UK habitats; greater engagement with botanical citizen science |
URL | http://www.npms.org.uk/content/resources |
Title | WP1.3 BRC: Welcome to Insect Week |
Description | Video introducing and promoting the Royal Entomological Society Insect Week |
Type Of Art | Film/Video/Animation |
Year Produced | 2021 |
Impact | See link for info: https://www.youtube.com/watch?v=P5TZTjBCVFA |
Title | WP1.6 COSMOS-UK: COSMOS-UK videos and animations |
Description | More than ten animations explaining COSMOS-UK and the data resource. |
Type Of Art | Film/Video/Animation |
Year Produced | 2018 |
Impact | Greater understanding of COSMOS-UK instrumentation, the data resource, and in particular the 2018 UK drought. |
URL | https://cosmos.ceh.ac.uk/cosmos-uk-videos-and-animations |
Title | WP2.1 Case Study - Air: Animation of COVID NO2 air pollution for Scotland |
Description | A brief animation of the 2020 March-June surface concentration of NO2 was made and shared with the University of Edinburgh. This was to highlight the COVID impact on NO2 pollution. |
Type Of Art | Film/Video/Animation |
Year Produced | 2020 |
Impact | The Scotsman wrote an article about this collaboration. https://www.scotsman.com/arts-and-culture/art/where-art-and-science-collide-space-and-satellites-artist-residency-exhibition-edinburghs-inspace-2927641 |
URL | https://inspace.ed.ac.uk/everyone/ |
Title | WP4 SOC-D: "The wonder stuff beneath your feet" |
Description | An animation film about the wonders of soil explaining why soil is one of the most amazing things on Earth. The film was jointly commissioned by BBC Ideas and the Royal Society. The film was co-written and narrated by Bridget Emmett. |
Type Of Art | Film/Video/Animation |
Year Produced | 2020 |
Impact | 90,000 views on BBC Ideas website alone in the 2 months since the film was released in December 2020. Many contacts from journalists and many others since. |
URL | https://www.bbc.co.uk/ideas/videos/why-soil-is-one-of-the-most-amazing-things-on-eart/p090cf64 |
Title | WP4.0 SOC-D: Para-lab Report 2022 @SEESAW |
Description | Exhibition of collaborative work developed with artists on earthworms and their role in soil at SEESAW in Manchester. Materials included transparent cores, fluorescent minerals and live earthworms, and was presented in darkness under UV light. |
Type Of Art | Artistic/Creative Exhibition |
Year Produced | 2022 |
Impact | Unknown |
URL | http://para-lab.org/ |
Description | UKCEH is collecting and integrating national scale datasets, enabling researchers to answer high-level questions around the status and trends of environmental resources, such as: Land: How do the main pressures driving land use change interact, historically and into the future? Biodiversity: What are the causes of loss and increase in biodiversity, and what is the impact on ecosystems? Soil: How do multiple pressures interact to change soil condition and function? Air: What drives the fluxes of pollutants and greenhouse gases? Water: What are the environmental determinants of water flows and soil moisture? |
Exploitation Route | The outcomes from UK-SCAPE are being used: (i) as a basis by others for developing new research activities and funding (both UKRI and external), (ii) to inform and provide underpinning evidence for policy and decision making by the UK government and devolved administrations [and arms-length agencies], (iii) by researchers to enhance their research capabilities and findings through gaining access to large, openly available, comprehensive data-sets, data-tools and new knowledge generated. |
Sectors | Agriculture Food and Drink Chemicals Education Energy Environment Government Democracy and Justice Pharmaceuticals and Medical Biotechnology |
URL | https://www.ceh.ac.uk/ukscape |
Description | UK-SCAPE activity in species monitoring and modelling: (i) informs UK, European and global policies on biodiversity, (ii) helps government and NGO conservation agencies understand and mitigate against the driving pressures leading to the degradation of natural assets and ecosystem services; (iii) are used to project and prevent the spread of invasive species; UK-SCAPE underpinned observations and modelling of atmospheric composition change and air pollution assisting policy makers and environmental agencies around the world to develop clean air strategies; UK-SCAPE supported activities in water resources monitoring and modelling enables government, businesses and communities to plan for the future in terms of water security, UK-SCAPE supported studies on soil systems and health, land use science provides underpinning evidence that is used by policymakers to prevent and reverse land degradation and advances the scientific understanding vital for improving the quality of UK GHG reporting e.g. under IPCC. |
First Year Of Impact | 2018 |
Sector | Agriculture, Food and Drink,Chemicals,Education,Energy,Environment,Government, Democracy and Justice,Culture, Heritage, Museums and Collections |
Impact Types | Cultural Societal Economic Policy & public services |
Description | 1.5 Wall-GHG: Lowland peat identified as a depleting resource and emissions hotspot in the 2016 House of Commons Environmental Audit Committee report on Soil Health |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1 Edin Non-GHG: ICP 36th Task Force meeting |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Review of the mapping manual for ammonia crticial levels, this includes updating the text used in CLRTAP. This will lead to enhanced protection of the environment. |
Description | WP1 Edin Non-GHG: TFRN Revision on ammonia |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Not sure at this time |
URL | https://unece.org/environment/documents/2023/11/informal-documents/agenda-item-7-note-revision-ammon... |
Description | WP1 Edin Non-GHG: UNECE guidance document |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Not sure at this time |
URL | https://unece.org/environment/documents/2023/10/working-documents/co-mitigation-methane-and-ammonia-... |
Description | WP1 Predatory Bird Monitoring Scheme; Monitoring for rodenticide in wildlfie reporting to Government Oversight Group for UK Rodenticide Stewardship programme |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Monitoring and reporting by UKCEH facilitates the continued use of rodenticides promoting public health, conservation, and controlling economic damage. Use of rodenticides. The market value of this use is estimated to be £230 million per year. |
Description | WP1 WallGHG: Presentation to LULUCF Steering Committee |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WP1.1 VSL: Use of method in UK species indicators |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | The "Freeman method" (presented in the paper referenced) is now being used for biodiversity indicators for UK, England and Scotland (including the UK Priority species indicator). It's also been an influential tool in the development of England's legally binding targets on species abundance |
Description | WP1.2 LCM: Data use GHG reporting |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Data used for GHG accounts |
Description | WP1.2 LCM: Evidence to House of Lords committee |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
URL | https://committees.parliament.uk/committee/583/land-use-in-england-committee |
Description | WP1.2 LCM: Interviewed by JNCC and Natural England |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.2 LCM: LCM Webinar |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Webinar describing new LCMs, production methods, use and presentation of 25 years of land cover change |
Description | WP1.2 LCM: LCM data used widely in ONS's 'Habitat extent and condition, natural capital, UK: 2022' |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Description | WP1.3 BRC: BioRisk |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | . |
Description | WP1.3 BRC: Biodiversa+ consultation |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Production of a document to inform Biodiversa+ priorities |
Description | WP1.3 BRC: Biodiversity Strategy for St Helena |
Geographic Reach | Australia |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.3 BRC: Biodiversity Targets Advisory Group |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Evidence-based targets |
Description | WP1.3 BRC: British-Irish Council |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | . |
Description | WP1.3 BRC: England Working Group on INNS |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.3 BRC: Environmental Audit Committee Expert Panel Member |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
URL | https://www.parliament.uk/business/committees/committees-a-z/commons-select/environmental-audit-comm... |
Description | WP1.3 BRC: European Commission Risk Assessments |
Geographic Reach | Europe |
Policy Influence Type | Citation in other policy documents |
Impact | . |
Description | WP1.3 BRC: IPBES Chapter ECA |
Geographic Reach | Europe |
Policy Influence Type | Citation in systematic reviews |
Impact | . |
Description | WP1.3 BRC: IPBES Co-Chair Invasive Species Assessment |
Geographic Reach | Europe |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.3 BRC: IPBES Co-Chair Invasive Species Assessment |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WP1.3 BRC: Interviewed for POSTBrief on Insect Declines |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.3 BRC: Interviewed for POSTBrief on Sustainable Land Management |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | POSTNotes are a key way of educating Parliamentarians and their researchers |
Description | WP1.3 BRC: Interviewed for biodiversity indicator POSTNote |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | POSTNotes are a key way of educating Parliamentarians and their researchers |
Description | WP1.3 BRC: Natural England Living Maps validation |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | . |
URL | https://spaceforsmartergovernment.uk/index.php?symphony-page=case-study/eo-dip-living-maps-for-biodi... |
Description | WP1.3 BRC: Review of the GB INNS Strategy |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.3 BRC: Supervision of UKRI/JNCC policy internship (ROBITT indicator review) |
Geographic Reach | National |
Policy Influence Type | Influenced training of practitioners or researchers |
Description | WP1.3 CS - Veg: Contribution to Defra 25-yr plan |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.3 CS - Veg: Contributions to Welsh SoNaRR report |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | https://erammp.wales/en/30 |
Description | WP1.3 PBMS: Report to Government Oversight Group for Rodenticide Stewardship |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | PBMS is advising Government Oversight Group for Rodenticide Stewardship in the UK. |
Description | WP1.3 PBMS: Report to Government Oversight Group for Rodenticide Stewardship |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | PBMS is advising Government Oversight Group for Rodenticide Stewardship in the UK. |
Description | WP1.3 PBMS: Report to Government Oversight Group for Rodenticide Stewardship |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | PBMS is advising Government Oversight Group for Rodenticide Stewardship in the UK. |
Description | WP1.3 PBMS: Report to Government Oversight Group for Rodenticide Stewardship |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | PBMS is advising Government Oversight Group for Rodenticide Stewardship in the UK. |
Description | WP1.4 CS - Soil: ERAMMP agri-environment monitoring Wales |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.4 CS-Soil: EU Mission Board foresight |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Unknown |
Description | WP1.4 CS-Soil: EU Mission board Pannel |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | . |
Description | WP1.5 Edin Non-GHG: Criticial loads advise report - Whim Bog research features heavily throughout report |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | reassessed critical loads for nitrogen - major impact, large changes. Wide impact on agriculture and land use. Will improve nature. resulted in press interviews. |
URL | https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/2022-10-12_texte_110-20... |
Description | WP1.5 Edin Non-GHG: Effecten van stikstofdepositie nu en in 2030: een analyse |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
URL | https://www.b-ware.eu/sites/default/files/publicaties/Bobbink2021_RapportStikstofGreenPeace_DEF.pdf |
Description | WP1.5 Edin Non-GHG: Local Government Report: AGRICULTURAL ATMOSPHERIC AMMONIA: IDENTIFICATION & ASSESSMENT OF POTENTIAL IMPACTS |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
URL | http://www.tara.tcd.ie/bitstream/handle/2262/98366/IWM135.pdf?sequence=1 |
Description | WP1.5 Edin Non-GHG: Matt Jones and Mark Sutton et al - Critical levels advice report |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | reassessed critical levels for ammonia - will add clarity and updated information. Wide impact on agriculture and land use. |
URL | https://www.umweltbundesamt.de/sites/default/files/medien/4038/dokumente/review_of_critical_levels_f... |
Description | WP1.5 Edin Non-GHG: Member of Defra's Air Quality Expert Group (AQEG) |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Supported Defra's setting of new PM2.5 targets for England |
URL | https://uk-air.defra.gov.uk/research/aqeg/ |
Description | WP1.5 Edin Non-GHG: Member of the scientific advisory group at the world meterological organisation global atmospheric watch on total atmospheric deposition. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | reassessed critical loads for nitrogen - major impact, large changes. Wide impact on agriculture and land use. Will improve nature. resulted in press interviews. |
URL | https://community.wmo.int/en/governance/commission-membership/research-board/ssc-epac/sag-tad |
Description | WP1.5 Edin Non-GHG: TFRN (2020) Information Sharing e-pre Meeting on Draft UNECE Guidance Document on Integrated Sustainable Nitrogen Management. (Meeting Report). Fifty-eighth session of the Working Group on Strategies and Review. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://www.unece.org/fileadmin/DAM/env/documents/2020/AIR/WGSR/Report_e-pre_meeting_on_UNECE_Nitrog... |
Description | WP1.5 Edin Non-GHG: TFRN (2020) Note on amendments to the Draft Guidance document on integrated sustainable nitrogen management. Informal document. Fifty-eighth session of the Working Group on Strategies and Review. Sumitted by the co-chairs of the Task Force on Reactive Nitrogen. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://www.unece.org/fileadmin/DAM/env/documents/2020/AIR/WGSR/Note_on_Amendments_following_WGSR_re... |
Description | WP1.5 Edin Non-GHG: UNECE (2020) Considerations for ammonia relevant to future review of the Gothenburg Protocol. Fifty-eighth session of the Working Group on Strategies and Review. Informal Document. Note prepared by the co-chairs of the Task Force on Reactive Nitrogen, the Task Force on Integrated Assessment Modelling and members of the Gothenburg Protocol Review Group, prepared with the assistance of INMS. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://www.unece.org/fileadmin/DAM/env/documents/2020/AIR/WGSR/Ammonia_inf_doc_for_WGSR58__note_fro... |
Description | WP1.5 Edin Non-GHG: UNECE (2020) Draft Guidance Document on Integrated Sustainable Nitrogen Management. Agriculture, Food & Environment. Submitted by the co-chairs of the Task Force on Reactive Nitrogen to the 58th Meeting of the Working Group on Strategies and Review of the Convention on Long-range Transboundary Air Pollution. 205 pp. (Lead author). |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://www.unece.org/fileadmin/DAM/env/documents/2020/AIR/WGSR/Final_For_submission_Draft_guidance_... |
Description | WP1.5 Edin Non-GHG: UNECE (2020) Report on the Task Force on Reactive Nitrogen. Fifty-eighth session of the Working Group on Strategies and Review. Submitted by the co-chairs of the Task Force on Reactive Nitrogen. ECE/EB.AIR/WG.5/2020/2. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://www.unece.org/fileadmin/DAM/env/documents/2020/AIR/WGSR/ECE_EB.AIR_WG.5_2020_2-2001563E.pdf |
Description | WP1.5 Edin Non-GHG: UNECE (2021) Assessment report on ammonia. Executive Body for the Convention on Long-range Transboundary Air Pollution. 41st session, Geneva, 6-8 December 2021. ECE/EB.AIR/2021/7. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://unece.org/environment/documents/2021/09/working-documents/assessment-report-ammonia |
Description | WP1.5 Edin Non-GHG: UNECE (2021) Guidance document on integrated sustainable nitrogen management. UNECE Convention on Long-range Transboundary Air Pollution, ECE/ACCEB.AIR/149. Geneva, 198 pp. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://unece.org/environment/documents/2021/04/working-documents/guidance-document-integrated-susta... |
Description | WP1.5 Edin Non-GHG: UNECE (2022) National responses to the ammonia questionnaire and preliminary main messages. Submitted by the Co-chairs of the Task Force on Reactive Nitrogen, with the assistance of the Secretariat and the Gothenburg Protocol Review Group. Informative Document presented to the 42nd Session of the Executive Body of the Convention on Long-range Transboundary Air Pollution (December 2022). 61 pp. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://unece.org/environment/documents/2022/12/informal-documents/ageda-item-5-national-responses-a... |
Description | WP1.5 Edin Non-GHG: UNECE (2022) Report on the review of the Gothenburg Protocol to Abate Acidification, Eutrophication and Ground-level Ozone, as amended in 2012. Submitted by the Gothenburg Protocol review group. ECE/EB.AIR/2022/3. (In English, French and Russian) |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://unece.org/environment/documents/2022/09/working-documents/report-review-protocol-abate-acidi... |
Description | WP1.5 Edin Non-GHG: UNECE (2022) Technical information for the review of the Gothenburg Protocol. Submitted by the Gothenburg Protocol review group. ECE/EB.AIR/2022/5. |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
URL | https://unece.org/environment/documents/2022/09/working-documents/technical-information-review-gothe... |
Description | WP1.5 Edin Non-GHG: member of CEN/TC 264/WG 11 |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | first standard for ambient ammonia measurement |
URL | https://www.en-standard.eu/bs-en-17346-2020-ambient-air-standard-method-for-the-determination-of-the... |
Description | WP1.5 Edin Non-GHG: member of CEN/TC 264/WG 42 |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WP1.5 EdinNon-GHG: Ammonia in a time of COVID-19 (Christine Braban et al) |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | https://uk-air.defra.gov.uk/library/reports.php?report_id=1005 |
Description | WP1.5 EdinNon-GHG: COVID-19 effects on emissions and regional PM concentrations in the UK (Nemitz et al) |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | https://uk-air.defra.gov.uk/library/reports.php?report_id=1005 |
Description | WP1.5 EdinNon-GHG: Christine Braban - Contributed to review of VOC monitoring for EA and attended expert group |
Geographic Reach | National |
Policy Influence Type | Membership of a guideline committee |
Impact | . |
Description | WP1.5 EdinNon-GHG: Christine Braban - Developed strategy and under pin actris PPP, by consolidating UK atmospheric observatory infrastructure observations |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.5 EdinNon-GHG: Christine Braban -completed EA monitoring strategy review questionnaire and review workshop |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.5 EdinNon-GHG: Data use in AQEG report on VOCs to Defra (Eiko Nemitz) |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | https://uk-air.defra.gov.uk/assets/documents/reports/cat09/2006240803_Non_Methane_Volatile_Organic_C... |
Description | WP1.5 EdinNon-GHG: Developing a nitrogen (in particular ammonia) monitoring strategy for Wales, as a member of the Clean Air Advisory Panel (CAAP) subgroup on Nitrogen/NH3 targets and monitoring in Wales (Ed Rowe, Ulli Dragosits, Sim Tang) |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WP1.5 EdinNon-GHG: Developing an ammonia monitoring strategy for NI, as a member of the Northern Ireland Ammonia Expert Group (Ulli Dragosits, Sim Tang) |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Establishment of 2 nitrogen monitoring networks in NI to assess impacts and improve modelling. Demonstration site set up at a farm in NI to demonstrate cause and effect of ammonia emissions from agricultural activities |
Description | WP1.5 EdinNon-GHG: Development of guidelines for estimating UK GHG emissions from wetlands (Peter Levy) |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | N/A |
Description | WP1.5 EdinNon-GHG: Hosted with Bill Bealy and Christine Braban a trees and air quality and the environment workshop |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.5 EdinNon-GHG: Submission of UKCEH to the Defra/AQEG Call for Evidence on "Future PM2.5 concentrations in England" (Eiko Nemitz) |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | WP1.5 EdinNon-GHG: Use of evidence submissions in AQEG report on COVID impacts on air pollution to Defra (Eiko Nemitz) |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | https://uk-air.defra.gov.uk/library/reports?report_id=1005 |
Description | WP1.5 Wall-GHG: Alligning the Peatland Code with the UK GHG Inventory |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Unknown |
Description | WP1.5 Wall-GHG: Development of a UK peatland emissions inventory |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.5 Wall-GHG: EFRA inquiry: Agriculture, achieving net-zero emissions |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | http://data.parliament.uk/writtenevidence/committeeevidence.svc/evidencedocument/environment-food-an... |
Description | WP1.5 Wall-GHG: EFRA inquiry: state of peatland in England |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | http://data.parliament.uk/writtenevidence/committeeevidence.svc/evidencedocument/environment-food-an... |
Description | WP1.5 Wall-GHG: Evolution of policy on peatland emissions mitigation from a focus mainly on upland bog restoration towards recognising and developing policies to reduce emissions from agricultural lowland peatlands |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.5 Wall-GHG: Quantifying and mitigating GHG emissions from lowland peatlands |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | . |
URL | http://randd.defra.gov.uk/Default.aspx?Menu=Menu&Module=More&Location=None&Completed=2&ProjectID=175... |
Description | WP1.5 Wall-GHG: UK government has committed to include peatland emissions estimates in the UK GHG inventory within the next three years |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | . |
Description | WP1.6 BRC: Legally binding targets for species abundance |
Geographic Reach | National |
Policy Influence Type | Membership of a guideline committee |
Description | WP1.6 HO: Use of Hydrological Outlook forecasts by SEPA in operational drought management in 2022 drought |
Geographic Reach | National |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | Unknown |
Description | WP1.6 NHMP: Citation of NHMP Trends studies in the IPCC AR7 |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Citation in other policy documents |
Impact | NHMP trends studies cited in the IPCC 7th Assessment Report |
Description | WP1.6 NHMP: Citation of UK Water Resources Portal as key info source in regular drought updates by Natural Resources Wales |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | NRW Drought Updates now point to the UKWRP as a key info sources on drought |
Description | WP1.6 NHMP: Participation in Government Chief Scientists Roundtable meeting on drought |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Jamie Hannaford provided expert input to this forum, commisioned in wake of 2022 drought. Included Chief scientist, and CSs from EA, Defra, Met Office and leading academics |
Description | WP1.6 NHMP: Participation in regular National Drought Group agriculture and environment sub-group meetings |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | The subgroup of the NDG embraces many organisations invollved in drought management, and reports to the main NDG, the key forum for national-scale drought decision making. NHMP team members regularly provide expert input on drought status |
Description | WP1.6 NHMP: Provision of data and information to the UK Government Scientific Advisory Group for Emergencies (SAGE) on the severity of the 2022 drought |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | We provided information on current status and future prospects for the 2022 drought to this SAGE committe meeting on the drought/heatwave |
Description | WP1.6 NHMP: Use of NHMP Trends studies in developing EA guidance on nonstationary flood risk |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | EA nonstationary guidance rested on a good understanding of nonstationarity in UK Flooding, which was built by NRFA analyses conducted in teh past, as well as an updated trend analysis conducted in 2021 |
Description | WP1.6 NHMP: Yorkshire Water |
Geographic Reach | Local/Municipal/Regional |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | We provided bespoke forecasts to Yorkshire Water to track drought status, demonstrating NHMP.Outlook products in action |
Description | WP2.1 Air: Dataset to assess 2030, 2040 and 2050 ozone was provide to uk-health-security-agency for an ongoing anaysis of future ozone and PM2.5 |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | Support for the Defra PM2.5 target analysis |
URL | https://www.gov.uk/government/publications/air-quality-revised-uk-national-air-pollution-control-pro... |
Description | WP2.1 Case Study - Air: Dataset to assess 2030, 2040 and 2050 ozone was provide to uk-health-security-agency for an ongoing analysis of future ozone and PM2.5 |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | Our analysis will be used in the context human health of UK future climate and UK future air quality. |
Description | WP2.1 Case Study - Air: Providing support for the the consultation on the PM2.5 targets |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | Defra on UK air policy - The EMEP4UK model developed framework and updated input data in air 2.1 was used to do this. |
Description | WP2.1 Case Study - Air: Providing support to AQEG on UK PM2.5 and surface ozone |
Geographic Reach | National |
Policy Influence Type | Citation in systematic reviews |
Impact | AQEG is advising Defra on UK air policy. The EMEP4UK model devleoped in 2.1 air was used to do this |
Description | WP4 Isle of May Long-Term Study; Developed tools and methods used in assessments of offshore wind farms |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Tools and models used in environmental impact assessments and strategic marine planning |
URL | https://www.gov.scot/publications/ornithology-specialist-receptor-group/ |
Description | WP4 SOC-D: One of 15 members of the EU Mission Board for Soil Health and Food |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WP4.0 SOC-D: An evidence synthesis: Soil structure and its benefits |
Geographic Reach | National |
Policy Influence Type | Citation in systematic reviews |
URL | https://royalsociety.org/-/media/policy/projects/soil-structures/soil-structure-evidence-synthesis-r... |
Description | WP7.1 ECN: Contribution of ECN data and expertise to UK APIENS, the Defra funded reporting mechanism for assessing the impacts of air pollutants on ecosystems |
Geographic Reach | National |
Policy Influence Type | Influenced training of practitioners or researchers |
Description | WP7.1 ECN: Contribution of ECN data and expertise to UK APIENS, the Defra funded reporting mechanism for assessing the impacts of air pollutants on ecosystems |
Geographic Reach | National |
Policy Influence Type | Influenced training of practitioners or researchers |
Description | WP7.4 IMLOTS: Developed tools and methods used in assessments of offshore wind farms |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Tools and models used in environmental impact assessments and strategic marine planning. |
URL | https://www.gov.scot/publications/ornithology-specialist-receptor-group/ |
Description | WP7.4 IMLOTS: Developed tools and methods used in assessments of offshore wind farms |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Tools and models used in environmental impact assessments and strategic marine planning |
URL | https://www.gov.scot/publications/ornithology-specialist-receptor-group/ |
Description | WP7.4 IMLOTS: Presented synthesis of climate change impacts to Marine Climate Change Impacts Partnership |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Impact | Climate change impacts synthesised by MCCIP used by multiple government departments |
URL | http://www.mccip.org.uk/impacts-report-cards/ |
Description | CN108 - Local plant data tool development |
Amount | £4,444,847 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2023 |
End | 09/2024 |
Description | LTLS Freshwater Ecosystems ("LTLS-FE"): Analysis and future scenarios of Long-Term and Large-Scale freshwater quality and impacts |
Amount | £1,038,879 (GBP) |
Funding ID | NE/X015866/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 10/2026 |
Description | WP1 CS Veg: DEFRA EVAST project |
Amount | £1,200,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 01/2024 |
End | 03/2025 |
Description | WP1 Edin Non-GHG: Nitrogen Impacts on Lichens and Bryophytes |
Amount | £25,351 (GBP) |
Organisation | Highways England |
Sector | Private |
Country | United Kingdom |
Start | 09/2023 |
End | 04/2024 |
Description | WP1 NRFA: Peak Flows Project |
Amount | £300,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2025 |
Description | WP1 NRFA: Peak Flows Project |
Amount | £50,000 (GBP) |
Organisation | Department for Infrastructure |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2025 |
Description | WP1 NRFA: Peak Flows Project |
Amount | £75,000 (GBP) |
Organisation | Natural Resources Wales |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2025 |
Description | WP1 NRFA: Peak Flows Project |
Amount | £75,000 (GBP) |
Organisation | Scottish Environment Protection Agency |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2025 |
Description | WP1 WallGHG: AFBI Agricultural Flux Towers network |
Amount | £242,000 (GBP) |
Organisation | Agri-Food and Biosciences Institute |
Sector | Public |
Country | United Kingdom |
Start | 04/2024 |
End | 03/2028 |
Description | WP1 WallGHG: Cambridge University Flux Towers |
Amount | £75,000 (GBP) |
Organisation | University of Cambridge |
Sector | Academic/University |
Country | United Kingdom |
Start | 04/2024 |
End | 03/2025 |
Description | WP1 WallGHG: DEFRA Lowland Peatlands Phase 3 |
Amount | £6,600,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 01/2024 |
End | 12/2026 |
Description | WP1 WallGHG: EA Saltmarsh flux towers |
Amount | £700,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2024 |
Description | WP1 WallGHG: Fenland SOIL Lowland Agricultural Peatland Water Discovery Pilot |
Amount | £108,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 03/2024 |
End | 03/2025 |
Description | WP1 eDNA; Environment Agency RDE Framework biofilm monitoring |
Amount | £393,090 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2024 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment (CN060) |
Amount | £71,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment (CN070) |
Amount | £52,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment (CN071) |
Amount | £39,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment (CN073) |
Amount | £64,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment (CN074) |
Amount | £49,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment (CN075) |
Amount | £43,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment Pilot |
Amount | £80,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 09/2020 |
End | 03/2021 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment Pilot |
Amount | £110,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment Pilot |
Amount | £47,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.1 VSL: Natural Capital Ecosystem Assessment Pilot |
Amount | £44,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.2 LCM: CWI-EA UKEAP2020 |
Amount | £1,750,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 07/2020 |
End | 07/2021 |
Description | WP1.2 LCM: CWI-UoL TOMPS Auchencorth |
Amount | £1,524 (GBP) |
Organisation | Lancaster University |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2020 |
End | 09/2021 |
Description | WP1.2 LCM: Commissioned Research |
Amount | £7,000 (GBP) |
Organisation | Isle of Man Government |
Sector | Public |
Country | Isle of Man |
Start | 07/2021 |
End | 03/2022 |
Description | WP1.2 LCM: Commissioned Research (BEIS) |
Amount | £220,000 (GBP) |
Organisation | Department for Business, Energy & Industrial Strategy |
Sector | Public |
Country | United Kingdom |
Start | 07/2020 |
End | 09/2021 |
Description | WP1.2 LCM: Commissioned Research (DEFRA MoA) |
Amount | £50,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 03/2019 |
End | 03/2021 |
Description | WP1.2 LCM: Network Rail Biodiversity Monitoring - Recurring Yearly |
Amount | £50,000 (GBP) |
Organisation | Network Rail Ltd |
Sector | Private |
Country | United Kingdom |
Start |
Description | WP1.2 LCM: Nuclear Decommissioning (DASA) |
Amount | £40,000 (GBP) |
Organisation | Ministry of Defence (MOD) |
Sector | Public |
Country | United Kingdom |
Start | 07/2022 |
End | 03/2023 |
Description | WP1.2 LCM: SABIOMA |
Amount | £270,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 06/2022 |
End | 03/2023 |
Description | WP1.3 BRC: 07780 CWI - DEFRA - NCEA Pilot 2: Data mobilisation |
Amount | £89,971 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2020 |
End | 03/2021 |
Description | WP1.3 BRC: 07782 CWI - DEFRA - NCEA Pilot 3+4. Citizen science and Assessment |
Amount | £99,922 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 07879 CWI - DEFRA - NCEA pilot - JNCC |
Amount | £101,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 08048 CWI - DEFRA - NCEA 025 - Farmer-led moth monitoring scheme |
Amount | £35,482 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 08049 CWI-DEFRA-NCEA 026-iRecord Butterflies Enhancements |
Amount | £36,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 08050 CWI-DEFRA-NCEA 027 E-Surveyor |
Amount | £93,375 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 08070 Plant Portal (NCEA) |
Amount | £17,500 (GBP) |
Funding ID | 08070 |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 08175 CWI - DEFRA - NCEA 046 - NE4 |
Amount | £10,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: 08190 CWI - Defra - NCEA - 010 - Data Mobilisation |
Amount | £74,966 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP1.3 BRC: Alliance Hubert Durien |
Amount | £10,000 (GBP) |
Funding ID | 06730-02 |
Organisation | British Council |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2020 |
End | 12/2021 |
Description | WP1.3 BRC: COVID 19 - Does nature-based citizen science enhance well-being and mitigate negative effects of social isolation? |
Amount | £57,880 (GBP) |
Funding ID | NE/V009656/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 05/2020 |
End | 12/2020 |
Description | WP1.3 BRC: Connected treescapes: a portfolio approach for delivering multiple public benefits from UK treescapes |
Amount | £1,797,083 (GBP) |
Funding ID | NE/V020226/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 07/2021 |
End | 07/2024 |
Description | WP1.3 BRC: Contract variation to 06282 |
Amount | £58,059 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 08/2020 |
End | 03/2021 |
Description | WP1.3 BRC: Contract variation to 06601 |
Amount | £180,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 09/2020 |
End | 10/2021 |
Description | WP1.3 BRC: Contract variation to 06730 Task 1 |
Amount | £14,000 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 11/2020 |
End | 03/2021 |
Description | WP1.3 BRC: Contract variation to 07111 |
Amount | £20,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2020 |
End | 03/2021 |
Description | WP1.3 BRC: Creation of a Scottish Biodiversity Indicator |
Amount | £22,000 (GBP) |
Organisation | NatureScot |
Sector | Public |
Country | United Kingdom |
Start | 01/2019 |
End | 03/2021 |
Description | WP1.3 BRC: DECIDE - Constructing Digital environment |
Amount | £989,387 (GBP) |
Funding ID | NE/V003054/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 09/2020 |
End | 12/2022 |
Description | WP1.3 BRC: Data Mobilisation for the Natural Capital Ecosystem Assessment programme |
Amount | £75,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 08/2022 |
End | 03/2023 |
Description | WP1.3 BRC: Drivers and Repercussions of UK Insect Declines (DRUID) |
Amount | £2,160,980 (GBP) |
Funding ID | NE/V006878/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2021 |
End | 01/2025 |
Description | WP1.3 BRC: Easy RIDER: Real-time IDentification for Ecological Research and Monitoring |
Amount | £100,310 (GBP) |
Funding ID | NE/W004216/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 07/2021 |
End | 07/2023 |
Description | WP1.3 BRC: GB Non-Native Species Information Portal |
Amount | £130,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2024 |
Description | WP1.3 BRC: GLobal Insect Threat-Response Synthesis (GLiTRS): a comprehensive and predictive assessment of the pattern and consequences of insect declines |
Amount | £2,206,209 (GBP) |
Funding ID | NE/V007548/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2020 |
End | 11/2024 |
Description | WP1.3 BRC: Interacting effects of land-use and climate change on biodiversity, 2020-04276 |
Amount | 160,000 kr (SEK) |
Funding ID | SLU.ekol.2020.4.2-41-4 |
Organisation | Swedish University of Agricultural Sciences |
Sector | Academic/University |
Country | Sweden |
Start | 12/2021 |
End | 12/2024 |
Description | WP1.3 BRC: Knowledge Exchange Fellowship: Bringing the data revolution to nature recovery |
Amount | £170,758 (GBP) |
Funding ID | NE/V018973/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 10/2024 |
Description | WP1.3 BRC: Mapping and Monitoring Biodiversity, Part I: Scoping Exercise |
Amount | £50,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 02/2023 |
End | 10/2023 |
Description | WP1.3 BRC: NERC Exploring the Frontiers |
Amount | £100,000 (GBP) |
Funding ID | NE/X010384/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 10/2023 |
Description | WP1.3 BRC: Outcome Indicator Framework Wildlife Indicators |
Amount | £480,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 03/2025 |
Description | WP1.3 BRC: Prioritisation of INNS on UKOTS |
Amount | £150,000 (GBP) |
Organisation | GB Non Native Species Secretariat |
Sector | Public |
Country | United Kingdom |
Start | 08/2021 |
End | 03/2022 |
Description | WP1.3 BRC: Scottish Government Horizon Scanning |
Amount | £30,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 06/2021 |
End | 11/2021 |
Description | WP1.3 BRC: Strengthening Pollinator Recovery through INdicators and monitorinG |
Amount | € 5,000,000 (EUR) |
Organisation | European Union |
Sector | Public |
Country | European Union (EU) |
Start | 04/2021 |
End | 11/2023 |
Description | WP1.3 PBMS: H4 baselines for SGARs in birds (and mammals) |
Amount | £17,760 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2022 |
End | 03/2022 |
Description | WP1.3 PBMS: H4 baselines for contaminants in Sparrowhawks and Buzzards |
Amount | £175,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2022 |
End | 03/2023 |
Description | WP1.3 PBMS: H4 baselines for heavy metals in Sparrowhawks and Buzzards |
Amount | £24,120 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2022 |
End | 03/2022 |
Description | WP1.3 PBMS: Peregrine analysis for heavy metals and PFAS |
Amount | £24,286 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2022 |
End | 03/2022 |
Description | WP1.3 PBMS: Platform maintenance, enhancement, and digitisation |
Amount | £25,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2022 |
End | 03/2022 |
Description | WP1.3 eDNA: SC220034 Molecular data generation and biobanking river biofilm samples |
Amount | £400,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2024 |
Description | WP1.3 eDNA: Using environmental DNA to understand the role of connectivity in pond ecosystems |
Amount | £70,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 08/2019 |
End | 04/2023 |
Description | WP1.4 CS-Soil: AI4SoilHealth |
Amount | £11,000,000 (GBP) |
Organisation | European Union |
Sector | Public |
Country | European Union (EU) |
Start | 01/2023 |
Description | WP1.4 CS-Soil: BEIS GHG Inventory Improvement Programme: LULUCF Soils Model Review |
Amount | £931,000 (GBP) |
Organisation | Department for Business, Energy & Industrial Strategy |
Sector | Public |
Country | United Kingdom |
Start |
Description | WP1.4 CS-Soil: ERAMMP2 |
Amount | £20,000,000 (GBP) |
Organisation | Government of Wales |
Sector | Public |
Country | United Kingdom |
Start |
Description | WP1.4 CS-Soil: Soil carbon modelling |
Amount | £50,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start |
Description | WP1.5 Edin Non-GHG: CWI-BV-AURN-AUCHENCORTH-BUSH-2022-2029 |
Amount | £32,662 (GBP) |
Organisation | Bureau Veritas |
Sector | Private |
Country | France |
Start | 09/2022 |
End | 09/2029 |
Description | WP1.5 Edin Non-GHG: Critical levels and loads |
Amount | £635,608 (GBP) |
Funding ID | 07617 CWI-Defra NFC 2020-2024 |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 01/2020 |
End | 06/2024 |
Description | WP1.5 Edin Non-GHG: Cuilcagh NH3 and vegetation |
Amount | £10,000 (GBP) |
Funding ID | NEC07379 |
Organisation | Ulster Wildlife |
Sector | Private |
Country | United Kingdom |
Start | 11/2019 |
End | 06/2021 |
Description | WP1.5 Edin Non-GHG: Murlough NH3 and vegetation |
Amount | £24,000 (GBP) |
Funding ID | NEC08391 |
Organisation | National Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 06/2022 |
End | 09/2023 |
Description | WP1.5 Edin Non-GHG: NCEA Nitrogen Deposition in UK Complex terrain |
Amount | £180,000 (GBP) |
Funding ID | 8002 |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 07/2022 |
End | 03/2023 |
Description | WP1.5 Edin Non-GHG: NI NH3 damage study |
Amount | £40,000 (GBP) |
Funding ID | NEC07102 |
Organisation | Northern Ireland Department of Agriculture, Environment and Rural Affairs (DAERA) |
Sector | Public |
Country | United Kingdom |
Start | 09/2022 |
End | 12/2023 |
Description | WP1.5 Edin Non-GHG: NI clean sites vegetation |
Amount | £5,000 (GBP) |
Funding ID | NEC07102 |
Organisation | Northern Ireland Department of Agriculture, Environment and Rural Affairs (DAERA) |
Sector | Public |
Country | United Kingdom |
Start | 02/2022 |
End | 03/2023 |
Description | WP1.5 Edin Non-GHG: NatureScot Eddy Covariance Tower |
Amount | £87,600 (GBP) |
Organisation | NatureScot |
Sector | Public |
Country | United Kingdom |
Start | 09/2022 |
End | 09/2025 |
Description | WP1.5 Edin Non-GHG: Nitrogen Impacts on Lichens and Bryophytes |
Amount | £25,351 (GBP) |
Organisation | Highways England |
Sector | Private |
Country | United Kingdom |
Start | 01/2023 |
End | 03/2023 |
Description | WP1.5 Edin Non-GHG: Slieve Donard NH3 and vegetation |
Amount | £8,000 (GBP) |
Funding ID | NEC08463 |
Organisation | National Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2022 |
End | 03/2023 |
Description | WP1.5 Edin Non-GHG: The Enigma of the Soil Hydrogen Sink Variability [ELGAR] NE/X013448/1 |
Amount | £570,575 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 11/2024 |
Description | WP1.5 Edin Non-GHG: VOCDep |
Amount | £599,613 (GBP) |
Funding ID | NE/V01272X/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2021 |
End | 01/2024 |
Description | WP1.5 Edin Non-GHG: the Argory NH3 and vegetation |
Amount | £11,000 (GBP) |
Funding ID | NEC07984 |
Organisation | National Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 06/2021 |
End | 11/2022 |
Description | WP1.5 Edin-GHG: Afforested peatland flux tower |
Amount | £158,094 (GBP) |
Organisation | NatureScot |
Sector | Public |
Country | United Kingdom |
Start | 02/2020 |
End | 06/2020 |
Description | WP1.5 Edin-GHG: Defusing the 'carbon bomb': A smart-data approach to assessing and managing risk of abrupt greenhouse gas emissions from peatlands |
Amount | £47,817 (GBP) |
Funding ID | EP/T001569/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 11/2019 |
End | 05/2020 |
Description | WP1.5 Edin-GHG: Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK) |
Amount | £1,028,559 (GBP) |
Funding ID | NE/S003614/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 02/2019 |
End | 02/2023 |
Description | WP1.5 Edin-GHG: Landscapes For Sequestering Carbon: a dynamic marginal abatement cost curve approach with Bayesian spatio-temporal modelling |
Amount | £39,731 (GBP) |
Funding ID | NE/T003960/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 07/2019 |
End | 06/2020 |
Description | WP1.5 Edin-GHG: MOTHERSHIP |
Amount | £1,129,473 (GBP) |
Funding ID | NE/V01854X/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2022 |
End | 03/2027 |
Description | WP1.5 EdinNon-GHG PhD Edinburgh University - Hannah Walker (field work supported at Auchencorth in April 2018) |
Amount | £0 (GBP) |
Organisation | University of California Education Abroad Program |
Sector | Academic/University |
Country | United States |
Start | 08/2017 |
End | 03/2021 |
Description | WP1.5 EdinNon-GHG eLTER PLUS (Funding Value TBC) |
Amount | £0 (GBP) |
Organisation | European Commission H2020 |
Sector | Public |
Country | Belgium |
Start | 12/2019 |
End | 03/2025 |
Description | WP1.5 EdinNon-GHG: 07827 EU-H2020 MERLIN |
Amount | £807,534 (GBP) |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 09/2021 |
End | 09/2025 |
Description | WP1.5 EdinNon-GHG: Airborne Microplastics Network under NERC standard grant: Understanding UK airborne microplastic pollution: sources, pathways and fate |
Amount | £590,904 (GBP) |
Funding ID | NE/T007605/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 09/2020 |
End | 10/2023 |
Description | WP1.5 EdinNon-GHG: Ammonia Reduction by Trees (ART) |
Amount | £10,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 11/2021 |
End | 03/2022 |
Description | WP1.5 EdinNon-GHG: CWI-Ammonia reduction by Trees |
Amount | £100,000 (GBP) |
Funding ID | ECM_58624 |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2021 |
Description | WP1.5 EdinNon-GHG: CWI-BV-AURN-AUCHENCORTH-BUSH-2015-18 |
Amount | £2,641 (GBP) |
Organisation | Bureau Veritas |
Sector | Private |
Country | France |
Start | 03/2020 |
End | 03/2021 |
Description | WP1.5 EdinNon-GHG: CWI-BV-AURN-AUCHENCORTH-BUSH-2019-2022 |
Amount | £9,233 (GBP) |
Organisation | Bureau Veritas |
Sector | Private |
Country | France |
Start | 03/2019 |
End | 03/2022 |
Description | WP1.5 EdinNon-GHG: CWI-EA UKEAP 2021-2026 |
Amount | £4,000,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 01/2021 |
End | 07/2026 |
Description | WP1.5 EdinNon-GHG: CWI-NPL Instrument Test Whim |
Amount | £7,581 (GBP) |
Organisation | National Physical Laboratory |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2020 |
End | 12/2020 |
Description | WP1.5 EdinNon-GHG: CWI-Ricardo Hydrocarbons Network Auchencorth 2021-2022 |
Amount | £8,196 (GBP) |
Organisation | Ricardo UK Ltd |
Sector | Private |
Country | United Kingdom |
Start | 05/2021 |
End | 09/2022 |
Description | WP1.5 EdinNon-GHG: CWI-Ricardo PAH Auchencorth |
Amount | £9,867 (GBP) |
Organisation | Ricardo UK Ltd |
Sector | Private |
Country | United Kingdom |
Start | 08/2020 |
End | 08/2025 |
Description | WP1.5 EdinNon-GHG: CWI-UoL TOMPS Auchencorth 2021-2025 |
Amount | £8,090 (GBP) |
Organisation | Lancaster University |
Sector | Academic/University |
Country | United Kingdom |
Start | 08/2021 |
End | 10/2026 |
Description | WP1.5 EdinNon-GHG: Defra-MoA UK APIENs_2021-2024 |
Amount | £250,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2021 |
End | 03/2024 |
Description | WP1.5 EdinNon-GHG: Kew Gardens - clubmoss plantations |
Amount | £7,400 (GBP) |
Organisation | Royal Botanic Gardens, Kew |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start |
Description | WP1.5 EdinNon-GHG: NCEA Complex Terrain |
Amount | £120,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2021 |
End | 03/2022 |
Description | WP1.5 EdinNon-GHG: OpenGHG: A community platform for greenhouse gas data science |
Amount | £117,715 (GBP) |
Funding ID | NE/V002821/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 07/2020 |
End | 08/2022 |
Description | WP1.5 EdinNon-GHG: SRUC MSc studentship (Nicola Howie) |
Amount | £0 (GBP) |
Organisation | Scotland's Rural College |
Sector | Academic/University |
Country | United Kingdom |
Start | 11/2018 |
End | 02/2019 |
Description | WP1.5 EdinNon-GHG: South Asia Nitrogen Hub |
Amount | £15,378,581 (GBP) |
Funding ID | NE/S009019/2 |
Organisation | United Kingdom Research and Innovation |
Sector | Public |
Country | United Kingdom |
Start | 12/2019 |
End | 05/2024 |
Description | WP1.5 EdinNon-GHG: eLTER PPP (Funding Value TBC) |
Amount | £0 (GBP) |
Organisation | European Commission H2020 |
Sector | Public |
Country | Belgium |
Start | 01/2020 |
End | 03/2025 |
Description | WP1.5 Wall-GHG: British Beet Research Organisation |
Amount | £143,500 (GBP) |
Organisation | British Beet Research Organisation |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2023 |
End | 12/2028 |
Description | WP1.5 Wall-GHG: Centre for Landscape Regeneraiton, Cambridge University |
Amount | £10,000,000 (GBP) |
Funding ID | NE/W00495X/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2022 |
End | 01/2027 |
Description | WP1.5 Wall-GHG: Commissioned Research |
Amount | £75,000 (GBP) |
Organisation | The Wildlife Trusts of Bedfordshire, Cambridgeshire, and Northamptonshire |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2021 |
End | 03/2022 |
Description | WP1.5 Wall-GHG: Commissioned Research |
Amount | £43,000 (GBP) |
Organisation | The Wildlife Trusts of Bedfordshire, Cambridgeshire, and Northamptonshire |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2021 |
End | 03/2022 |
Description | WP1.5 Wall-GHG: Commissioned Research |
Amount | £30,000 (GBP) |
Funding ID | Project 10006419 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 12/2022 |
Description | WP1.5 Wall-GHG: Commissioned Research |
Amount | £707,585 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 12/2023 |
Description | WP1.5 Wall-GHG: Commissioned Research |
Amount | £83,332 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2022 |
End | 12/2023 |
Description | WP1.5 Wall-GHG: Commissioned Research - Lincoln Institute of Agricultural research |
Amount | £57,000 (GBP) |
Organisation | University of Lincoln |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2020 |
End | 06/2021 |
Description | WP1.5 Wall-GHG: Commissioned Research - Natural England |
Amount | £80,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2021 |
Description | WP1.5 Wall-GHG: DAERA Environment Fund Competition |
Amount | £109,000 (GBP) |
Organisation | Northern Ireland Department of Agriculture, Environment and Rural Affairs (DAERA) |
Sector | Public |
Country | United Kingdom |
Start | 09/2020 |
End | 03/2021 |
Description | WP1.5 Wall-GHG: Defra SP1218 Lowland Peatlands Phase 2 |
Amount | £550,000 (GBP) |
Funding ID | SP1218 |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 03/2019 |
End | 03/2021 |
Description | WP1.5 Wall-GHG: Falklands Conservaton, SAERI, Falklands Island Government |
Amount | £68,114 (GBP) |
Organisation | Falkland Islands Government |
Sector | Public |
Country | Falkland Islands (Malvinas) |
Start | 01/2023 |
End | 01/2026 |
Description | WP1.5 Wall-GHG: GGR-Peat |
Amount | £4,500,000 (GBP) |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2022 |
End | 06/2027 |
Description | WP1.5 Wall-GHG: MOTHERSHIP |
Amount | £3,700,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2027 |
Description | WP1.5 Wall-GHG: Natural England Flux Tower |
Amount | £80,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 04/2020 |
Description | WP1.5 Wall-GHG: PBC4GGR |
Amount | £4,500,000 (GBP) |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2022 |
End | 06/2027 |
Description | WP1.5 Wall-GHG: Peatlands Progress |
Amount | £138,000 (GBP) |
Organisation | The Wildlife Trusts |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2023 |
End | 03/2028 |
Description | WP1.5 Wall-GHG: RSPB, Agroforestry |
Amount | £48,000 (GBP) |
Organisation | Royal Society for the Protection of Birds (RSPB) |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2021 |
End | 03/2023 |
Description | WP1.5 Wall-GHG: Toward an accurate estimate of wasted peat GHG emissions in England |
Amount | £450,000 (GBP) |
Funding ID | TRN 2177/12/2019 |
Organisation | Department for Business, Energy & Industrial Strategy |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2022 |
Description | WP1.5 Wall-GHG: WWF |
Amount | £171,392 (GBP) |
Organisation | World Wide Fund for Nature (WWF UK) |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2023 |
End | 12/2023 |
Description | WP1.6 COSMOS-UK: NERC Capital funding |
Amount | £268,800 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 12/2021 |
Description | WP1.6 HO: CANARI |
Amount | £1,500,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2027 |
Description | WP1.6 NHMP: EA drought reviews |
Amount | £25,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 03/2023 |
Description | WP1.6 NHMP: IndicatoRs to Impacts for drought Surveillance (IRIS) |
Amount | £100,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 01/2024 |
Description | WP1.6 NHMP: RADAR |
Amount | £90,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 02/2020 |
End | 06/2021 |
Description | WP1.6 NHMP: ROBIN |
Amount | £100,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 07/2021 |
End | 09/2023 |
Description | WP1.6 NRFA: ASTRID (Modelling intermittent rivers in the UK) |
Amount | £52,253 (GBP) |
Funding ID | NE/T004215/2 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 12/2019 |
End | 03/2022 |
Description | WP1.6 NRFA: FHIP EAD5 (Communicating Uncertainty) |
Amount | £52,336 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 10/2023 |
Description | WP1.6 NRFA: FHIP EAM3 (Hydrological Priorities and Network Appraisal) |
Amount | £47,344 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 01/2024 |
Description | WP1.6 NRFA: Maintenance of Peak Flow Data Holdings 2020-2025 |
Amount | £448,000 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2025 |
Description | WP1.6 NRFA: Natural Capital and Ecosystem Assessment (NCEA) - Water Quantity |
Amount | £69,076 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | WP1.6 NRFA: Natural Capital and Ecosystem Assessment (NCEA) - Water Quantity |
Amount | £10,840 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2020 |
End | 03/2021 |
Description | WP1.6 NRFA: Natural Capital and Ecosystem Assessment (NCEA) - Water Quantity |
Amount | £64,283 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 03/2023 |
Description | WP1.6 NRFA: RDE Framework (Future change in spatiotemporal dynamics of chalk streams) |
Amount | £31,079 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 03/2023 |
Description | WP1.6 NRFA: ROBIN |
Amount | £100,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2021 |
End | 07/2023 |
Description | WP1.6 NRFA: Winter Floods 2019-2021 |
Amount | £47,237 (GBP) |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 02/2023 |
End | 08/2023 |
Description | WP2.2 Case Study - Water: BEIS-CS-NOW project "WPD2 - Future Water Availability for Water-intensive Energy Infrastructure" |
Amount | £158,000 (GBP) |
Organisation | Department for Business, Energy & Industrial Strategy |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 01/2023 |
Description | WP2.2 Case Study - Water: EA_Binnies_Jubilee River study to investigate potential impacts of lower Thames flood relief scheme (Phase 2) |
Amount | £43,000 (GBP) |
Funding ID | NEC08209 |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 11/2021 |
End | 07/2022 |
Description | WP2.2 Case Study - Water: EA_Black&Veatch_ Jubilee River study to investigate potential impacts of lower Thames flood relief scheme |
Amount | £60,000 (GBP) |
Funding ID | NEC07196 |
Organisation | Environment Agency |
Sector | Public |
Country | United Kingdom |
Start | 01/2020 |
End | 09/2021 |
Description | WP2.2 Case Study - Water: Thames Water_Strategic Resource Options algae research |
Amount | £320,000 (GBP) |
Funding ID | NEC07868 |
Organisation | Thames Water Utilities Limited |
Sector | Private |
Country | United Kingdom |
Start | 03/2021 |
End | 03/2022 |
Description | WP2.2 Case Study - Water: UKCR prog. SPF-funded eFLAG project |
Amount | £300,000 (GBP) |
Organisation | Meteorological Office UK |
Sector | Academic/University |
Country | United Kingdom |
Start | 03/2020 |
End | 12/2021 |
Description | WP2.2 Water: NERC Understanding changes in quality of UK freshwaters: LTLS-FE |
Amount | £2,000,000 (GBP) |
Funding ID | NE/X015866/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 09/2022 |
End | 09/2026 |
Description | WP2.5 DSF: DUKEMS |
Amount | £2,000,000 (GBP) |
Funding ID | DN424761 |
Organisation | Meteorological Office UK |
Sector | Academic/University |
Country | United Kingdom |
Start | 02/2020 |
End | 06/2022 |
Description | WP2.5 DSF: NERC Data Centre |
Amount | £350,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2021 |
End | 10/2021 |
Description | WP3 SPEED: Climate Resilience Programme - Development and provision of UK socio economic scenarios for climate vulnerability, impact, adaptation and services research and policy |
Amount | £460,725 (GBP) |
Funding ID | SPF CR19-3 |
Organisation | Meteorological Office UK |
Sector | Academic/University |
Country | United Kingdom |
Start | 01/2020 |
End | 04/2021 |
Description | WP3 SPEED: Climate Resilience Programme - Development and provision of UK socio economic scenarios for climate vulnerability, impact, adaptation and services research and policy- EXTENSION |
Amount | £49,564 (GBP) |
Organisation | Meteorological Office UK |
Sector | Academic/University |
Country | United Kingdom |
Start | 01/2021 |
End | 03/2021 |
Description | WP3 SPEED; Biodiversity Pathways Project |
Amount | £240,000 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 01/2023 |
End | 03/2025 |
Description | WP4 Isle of May Long-Term Study; Commissioned Research |
Amount | £921,700 (GBP) |
Funding ID | NE/Y000684/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 02/2024 |
End | 01/2027 |
Description | WP4 Isle of May Long-Term Study; Commissioned Research |
Amount | £16,000 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 04/2023 |
End | 04/2024 |
Description | WP4 Isle of May Long-Term Study; Commissioned Research |
Amount | £820,642 (GBP) |
Funding ID | NE/Y001591/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 02/2024 |
End | 01/2026 |
Description | WP4 Loch Leven: NERC Growing Shoots funding |
Amount | £25,000 (GBP) |
Funding ID | NE/Y005562/1 _Growing Shoots |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2024 |
End | 04/2025 |
Description | WP4.0 SOC-D: Quantifying climate and land use effects on continental-scale coupling of water and carbon cycles (CLIMASOIL) - Klimaforsk |
Amount | kr 11,985,000 (NOK) |
Organisation | Research Council of Norway |
Sector | Public |
Country | Norway |
Start | 01/2022 |
End | 12/2026 |
Description | WP5.1 Engagement: IPBES |
Amount | £72,000 (GBP) |
Organisation | Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services |
Sector | Charity/Non Profit |
Country | Germany |
Start | 02/2021 |
End | 09/2023 |
Description | WP7.1 ECN: Citizen Sci Exp Grant S1 |
Amount | £19,969 (GBP) |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 12/2019 |
End | 04/2020 |
Description | WP7.1 ECN: Methodologically Enhanced Virtual Labs for Early Warning of Significant or Catastrophic Change in Ecosystems: Changepoints for a Changing Planet |
Amount | £249,000 (GBP) |
Funding ID | NE/T006102/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2019 |
End | 11/2020 |
Description | WP7.1 ECN: Microclim |
Amount | € 2,493,795 (EUR) |
Funding ID | Grant agreement No. 883669 |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 01/2022 |
End | 11/2022 |
Description | WP7.1 ECN: The Multi-trophic Impact of Ash Dieback |
Amount | £574,674 (GBP) |
Funding ID | NE/T007648/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 02/2020 |
End | 01/2024 |
Description | WP7.1 ECN: eLTER PLUS |
Amount | £10,000,000 (GBP) |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 01/2020 |
End | 12/2024 |
Description | WP7.1 ECN: eLTER PPP |
Amount | £4,000,000 (GBP) |
Organisation | European Commission H2020 |
Sector | Public |
Country | Belgium |
Start | 01/2020 |
End | 12/2024 |
Description | WP7.2 Lakes Monitoring: Integrating top-down control by parasitic protists and fungi into the ecological dynamics of freshwater phytoplankton blooms |
Amount | £97,472 (GBP) |
Funding ID | NE/X012204/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 12/2023 |
Description | WP7.2 Lakes Monitoring: Quantifying the impact of anthropogenic nutrient imbalance on carbon flux from freshwater |
Amount | £2,222,027 (GBP) |
Funding ID | NE/X00497X/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 12/2026 |
Description | WP7.3 Leven: 05846 CWI-RESAS-Support to JHI Water Research |
Amount | £250,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 01/2016 |
End | 03/2022 |
Description | WP7.3 Leven: 07321 CWI-WGF Loch Leven Biology |
Amount | £37,000 (GBP) |
Organisation | William T. Grant Foundation |
Sector | Charity/Non Profit |
Country | United States |
Start | 01/2019 |
End | 03/2022 |
Description | WP7.3 Leven: Public engagement and biodiversity research |
Amount | £94,000 (GBP) |
Organisation | William T. Grant Foundation |
Sector | Charity/Non Profit |
Country | United States |
Start |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £60,000 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 11/2020 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £800,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2021 |
End | 11/2024 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | € 8,000 (EUR) |
Organisation | Norwegian Polar Institute |
Sector | Private |
Country | Norway |
Start | 02/2022 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | kr 38,386,000 (NOK) |
Organisation | Research Council of Norway |
Sector | Public |
Country | Norway |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £30,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 01/2021 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £2,500,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 01/2020 |
End | 07/2023 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £60,000 (GBP) |
Organisation | Carbon Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £9,000 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 01/2021 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | kr 7,000 (NOK) |
Organisation | Norwegian Polar Institute |
Sector | Private |
Country | Norway |
Start | 03/2020 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £40,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 02/2021 |
End | 08/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £80,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 12/2020 |
End | 06/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £15,000 (GBP) |
Organisation | Joint Nature Conservancy Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £40,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 03/2021 |
End | 08/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £80,000 (GBP) |
Organisation | Carbon Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2021 |
End | 12/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £53,000 (GBP) |
Organisation | Carbon Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | kr 14,442,000 (NOK) |
Organisation | Research Council of Norway |
Sector | Public |
Country | Norway |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £45,000 (GBP) |
Organisation | Scottish and Southern Energy (SSE) |
Sector | Private |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £800,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £25,000 (GBP) |
Organisation | Natural England |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £120,000 (GBP) |
Organisation | Carbon Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £180,000 (GBP) |
Organisation | EDF Energy |
Sector | Private |
Country | United Kingdom |
Start | 05/2020 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £196,000 (GBP) |
Organisation | EDF Energy |
Sector | Private |
Country | United Kingdom |
Start | 09/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £49,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 11/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £10,000 (GBP) |
Organisation | Joint Nature Conservation Committee |
Sector | Private |
Country | United Kingdom |
Start | 09/2020 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £40,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 03/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £40,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 03/2021 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £40,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 09/2020 |
End | 03/2021 |
Description | WP7.4 IMLOTS: Commissioned Research |
Amount | £375,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 01/2020 |
End | 03/2022 |
Description | WP7.4 IMLOTS: Commissioned Research - Full Grant Value Unknown |
Amount | £13,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP7.4 IMLOTS: Commissioned Research - Full Grant Value Unknown |
Amount | £3,000 (GBP) |
Organisation | Government of Scotland |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2023 |
Description | WP7.4 IMLOTS: Commissioned Research - Full Grant Value Unknown |
Amount | £15,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 03/2026 |
Description | WP7.4 IMLOTS: DEFRA - Commissioned Research |
Amount | £350,000 (GBP) |
Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
Sector | Public |
Country | United Kingdom |
Start | 01/2023 |
End | 03/2025 |
Description | WP7.4 IMLOTS: NERC - Commissioned Research |
Amount | £2,000,000 (GBP) |
Funding ID | NE/X009068/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 07/2022 |
End | 08/2026 |
Description | WP7.4 IMLOTS: The Crown Estate - Commissioned Research |
Amount | £2,000,000 (GBP) |
Organisation | Crown Estate |
Sector | Private |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2026 |
Description | WP7.4 IMLOTS: The Crown Estate - Commissioned Research |
Amount | £5,000,000 (GBP) |
Organisation | Crown Estate |
Sector | Private |
Country | United Kingdom |
Start | 03/2022 |
End | 03/2026 |
Title | Freshwater data explorer |
Description | Web tool for visualisation and assessment of spatially explicit freshwater data availability |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Provides a one stop shop for freshwater data |
URL | https://eip.ceh.ac.uk/hydrology/freshwater-data-explorer/ |
Title | WP1.1 VSL/WP1.3 BRC: BRCindicators |
Description | R package for combining species trend estimates into multispecies indicators, including novel hierarchical Bayesian methods |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | Currently being applied to biodiversity indicators for UK, England and Scotland |
URL | https://github.com/BiologicalRecordsCentre/BRCindicators |
Title | WP1.1 VSL: Bayesian Estimation of Land Use Change |
Description | Application for interacting with model. Published in beta. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | The app provides an interface to a complex model of land use change that integrates multiple data sets together for the first time to provide robust estimates of temporal change. This app allows users to understand and visualise the effects of the subjective choices made in this complex model. |
URL | https://shiny-prod.nerc-lancaster.ac.uk:8443/adagri/BELUC/ |
Title | WP1.1 VSL: DECIDE tool |
Description | An app to help citizen scientists collect data from where it can have greatest contribution. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Improving the utility of citizen science data. |
URL | https://decide.ceh.ac.uk/opts/scoremap/map |
Title | WP1.1 VSL: Hydrological Sensor Data integration Tool |
Description | Portal for visualising and obtaining real time data from a range of providers including EA, SEPA, Met Office, NRFA. Published in beta. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | Brings together all real time data for the first time, providing a single point of interaction. All data conforms to specific standards. |
URL | https://gateway-staging.ceh.ac.uk/hydrology-ukscape/ |
Title | WP1.1 VSL: Indicator Trends |
Description | The model approach allows data on different species (or time series generally) to be combined to produce robust, consistent indicator trends even if the constituent time series were observed over different temporal periods. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | Provides researchers with a method to combine multiple time series into composite indicator trends for the first time, irrelevant of the temporal synchronisity. |
URL | https://github.com/BiologicalRecordsCentre/BRCindicators |
Title | WP1.1 VSL: Integrated Distribution modelling |
Description | . |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | Provides researcher with methods to combine data from multiple sources. And enables researchers to understand in what circumstances this is beneficial or not |
URL | https://github.com/NERC-CEH/IOFFsimwork |
Title | WP1.1 VSL: ROBITT - Question focussed assessment tool |
Description | ROBITT: A tool for assessing the risk-of-bias in studies of temporal trends in ecology |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Used in multiple montoring networks to test for bias |
URL | https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13857 |
Title | WP1.2 LCM: Automated Land Cover Classification software suite |
Description | . |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | No |
Impact | It has enabled us to produce LCMs 2017, 2018 and 2019 which are due for release in May 2020 |
Title | WP1.3 BRC: Bryophyte checklist in the UK Species Inventory |
Description | Taxonomic checklist - 'The UK Species Inventory is the official checklist of UK biodiversity hosted by the NHM; however, taxonomic updates are delegated to particular organisations with expertise in taxa. We have overhauled the bryophyte taxonomy so that it reflects the recent checklist of Blockeel et al. (2021). The UKSI list underpins popular outreach platforms such as the National Biodiversity Network and iRecord. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | 'use in NBN, iRecord, and for official government conservation designation listing |
URL | https://uksi-sandbox.nhm.ac.uk/ |
Title | WP1.3 BRC: Climate models for non-native species |
Description | 'R code for modelling non-native species distributions with climate projections |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | 'Contribution to GB and EU policy |
Title | WP1.3 BRC: Novel Bayesian model for interval-censored plant cover data |
Description | Novel Bayesian model for interval-censored plant cover data |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | Used to create the first annual habitat condition indicator in the Official UK Biodiversity Indicator statistics (Defra/JNCC). |
URL | https://github.com/sacrevert/NPMSTrends2 |
Title | WP1.3 BRC: Risk-Of-Bias in Temporal Trends in Ecology (ROBITT) |
Description | Formal approach to risk-of-bias for temporal trends in ecology |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | First ever formal risk-of-bias tool for ecology |
Title | WP1.3 BRC: Species Presence/Absence R Trends Analyses (SPARTA) |
Description | R package for implementing models of biodiversity trends over time from unstructured occurrence records data. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | Underpinned State of Nature 2019 reporting, UK Biodiversity Indicators and recent papers in Nature Communications (pollinator trends) and Nature Ecology and Evolution (biodiversity assessment) |
URL | https://github.com/BiologicalRecordsCentre/sparta |
Title | WP1.3 BRC: Spread and environmental suitability model for Asian hornet |
Description | 'Model output available for use in communication materials including Defra strategy on non-native species |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | 'GB Invasive Non-Native Species Strategy |
Title | WP1.3 BRC: Targeting Revisits Map |
Description | R Shiny: Interactive maps updated via data in iRecord showing targets for revisits |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Promoted to and used by biological recorders during 2021 |
URL | https://www.brc.ac.uk/article/targeting-revisits-maps-grasshoppers-craneflies-and-ground-beetles |
Title | WP1.3 BRC: occAssess |
Description | R package: Heuristic functions for assessing risk-of-bias in species occurrence datasets |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Used in assessing potential biases in TEPoP scheme data and UK biodiversity indicators. |
URL | https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.8299 |
Title | WP1.5 Edin-GHG: EddyStore |
Description | GHG and pollutant fluxes are commonly measured by a micrometeorological technique, the eddy covariance method. This involves storing large quantities of high-frequency data (20 Hz) and computationally intensive processing. We have developed a tool which provides a user-friendly web front-end to a processing engine, which uses the parallel processing power of JASMIN (thousands of CPUs in parallel). This hugely speeds up processing, whilst remaining easy to use. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | Processing time vastly reduced, which opens up opportunities for uncertainty analysis and Monte Carlo simulations |
URL | https://nerc-ceh.github.io/eddystore/ |
Title | WP2.1 Case Study - Air: ACTM EMEP4UK model |
Description | Cloud based collaborative environment for developing and running a complex ACTM |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | Enabling environmental researchers to access complex models. |
Title | WP2.5 DSF: Data Labs |
Description | Cloud based collaborative environment for developing data pipelines and analytical methods |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | Enabling environmental researchers to access new methods developed by the stats community. Also reducing the barrier to large compute and storage for environmental scientists |
URL | http://datalab.datalabs.ceh.ac.uk |
Title | A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021 |
Description | This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland ('Worm source'). These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891. Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible. The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. This work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1). |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/1a1000a8-4e7e-4851-8784-94c7ba3e164f |
Title | Abundance trends for river macroinvertebrates vary across taxa, trophic group and river typology |
Description | There is mounting evidence that terrestrial arthropods are declining rapidly in many areas of the world. It is unclear whether freshwater invertebrates, which are key providers of ecosystem services, are also declining. We addressed this question by analysing a long-term dataset of macroinvertebrate abundance collected from 2002 to 2019 across 5,009 sampling sites in English rivers. Patterns varied markedly across taxonomic groups. Within trophic groups, we detected increases in the abundance of carnivores by 19% and herbivores by 14.8%, whilst we estimated decomposers have declined by 21.7% in abundance since 2002. We also found heterogeneity in trends across rivers belonging to different typologies based on geological dominance and catchment altitude, with organic lowland rivers having generally higher rates of increase in abundance across taxa and trophic groups, with siliceous lowland rivers having the most declines. Our results reveal a complex picture of change in freshwater macroinvertebrate abundance between taxonomic groups, trophic levels and river typologies. Our analysis helps with identifying priority regions for action on potential environmental stressors where we discover macroinvertebrate abundance declines. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.v9s4mw70n |
Title | Activity, energy expenditure and mass data from common guillemots from the Isle of May during the 2016-2017 annual cycle |
Description | This dataset contains energy expenditure, sea surface temperature, foraging activity, day length, longitude, latitude, distance from the coastline and mass data from 17 common guillemots (Uria aalge) from the Isle of May during the 2016-2017 annual cycle. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/1cc5dcdb-e894-4973-a5b5-7a38a6cfc770 |
Title | Adjusting for bias in biodiversity monitoring data |
Description | Supporting information to Boyd et al. (2023, Ecology, forthcoming). Includes code to conduct bias adjustments and data supporting the article. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://zenodo.org/doi/10.5281/zenodo.10029669 |
Title | Adjusting for bias in biodiversity monitoring data |
Description | Supporting information to Boyd et al. (2023, Ecology, forthcoming). Includes code to conduct bias adjustments and data supporting the article. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://zenodo.org/doi/10.5281/zenodo.10029668 |
Title | Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK (1970-2015) |
Description | This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland, Wales and Northern Ireland as well as for the UK and Great Britain (GB) where possible. These data were generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy model. The outputs resulting from this modelling framework are presented in three forms: • 1000 samples from the modelled posterior distribution of the proportion of occupied sites for each species for each year and for each region analysed. • Summary tables from the model outputs detailing mean occupancy and associated statistics including credible intervals and rhat measure of convergence. • Derived species trend estimates in the form of annual percentage growth rates. Annual estimates derived from fine-grained data (1x1km squares) have not been determined for this set of species before, making this a unique dataset that broadens knowledge on UK biodiversity change. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/0ec7e549-57d4-4e2d-b2d3-2199e1578d84 |
Title | Behaviour, diet, condition and demography data for common guillemots from the Isle of May, 1982-2019 |
Description | This dataset contains information on the parental behaviour, diet, condition and demography of common guillemots on the Isle of May, south-east Scotland. Annual data are available for 1982 to 2019 inclusive. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study). |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f7676346-a67e-4fdf-9d30-e79ad2585195 |
Title | Breeding success, population size, and site quality data for a population of common guillemots (Uria aalge) on the Isle of May, Scotland, 1981-2018 |
Description | This dataset contains information on the breeding outcome, breeding site occupancy, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes from 1981-2018. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study). |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | None known as of yet. |
URL | https://catalogue.ceh.ac.uk/id/33b42f0a-12a5-47fe-aaaf-25f4ee5e13a5 |
Title | Climate change exposure estimates for the UK at 1 km resolution, 1901-2080 |
Description | This dataset consists of spatially explicit (1 km gridded) metrics of climate change "exposure" (i.e. an index of the amount of expected change in a location) derived from quantifying the difference in observed historical and predicted future climatic conditions. Four comparisons are included between five discrete time periods: 1901-1930 v. 1961-1990; 1961-1990 v. 2010-2019; 2010-2019 v. 2021-2040; and 2021-2040 v. 2061-2080. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/d370cda8-7d3d-4b62-8d09-23711aa18ac2 |
Title | Concentrations of second generation anticoagulant rodenticides (SGARs) in Eurasian sparrowhawk livers, 1995-2015 for Great Britain |
Description | Data comprise concentrations of second-generation anticoagulant rodenticides (SGARs) in Eurasian sparrowhawk (Accipiter nisus) livers found dead in Great Britain between 1995 and 2015. The liver SGARs measured include Bromadiolone, Difenacoum, Brodifacoum, Difethialone, Flocoumafen and sum of SGARs in nanograms per gram-wet weight. The data also include demographic information (Age and Sex) for each bird and location where the bird was found. Members of the public and other interested parties submitted Sparrowhawks to the Predatory Bird Monitoring Scheme (PBMS) after being found dead. The collection, examination, and archiving of birds and their tissues was conducted by the PBMS and supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Contaminants and data analysis was conducted under the CHEMPOP project, NERC grant NE/S000100/1. The UKAS Accredited UK Centre carried out liver analysis for Ecology & Hydrology Lancaster Analytical Chemistry Facility. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/1af003b1-2f70-4e45-a31a-b07a5fe6e929 |
Title | Cumbrian Lakes Monitoring thermal stratification timing 1951 - 2017 |
Description | The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/d029bb43-5722-4932-9c14-be316a2e7144 |
Title | Daily and sub-daily hydrometeorological and soil data (2013-2022) [COSMOS-UK] |
Description | This dataset contains daily and sub-daily hydrometeorological and soil moisture observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2022. These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network records the following hydrometeorological and soil data at 30-minute resolution: Radiation (short wave, long wave, and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point sensors at various depths. Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily). The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted, and the snow water equivalent (SWE) is given. The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution. Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/5060cc27-0b5b-471b-86eb-71f96da0c80f |
Title | Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 2016-2021 |
Description | This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees). Data is an extension of the daily AWS datasets for 1999-2015 and 2015-2016, for the time period September 2016 to December 2021. Data were recorded in minute intervals, averaged to half-hourly, then to daily means which are reported here. Data which were not recorded are marked with "NA", faulty data were replaced with "-9999". Data collection, processing and quality checking was carried out by members of CEH and UKCEH staff. The following measures were taken with sensors from Campbell Scientific: Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed were recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development over time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/0ebfc33b-0da2-4329-aac7-69ed8925b979 |
Title | Daily estimates for meteorological and potential evapotranspiration variables (CHESS) and soil moisture estimates (JULES) at COSMOS-UK sites, 2013-2017 |
Description | This dataset provides daily estimates at locations that are part of the COSMOS-UK monitoring network for meteorological and potential evapotranspiration variables in the Climate hydrology and ecology research support system for the period 2013-2017 (CHESS-met and CHESS-PE). Additionally, for the same period, it provides estimates at COSMOS-UK sites locations for soil moisture simulations provided by JULES (Joint UK Land Environment Simulator) at four layers: top layer (0.0-0.1 m depth), second layer (0.1-0.35 m depth), third layer (0.35-1 m depth) and bottom layer (1-3 m depth). The following variables are available in the dataset: daily temperature range (K), specific humidity (kg kg-1), precipitation (kg m-2 s-1), air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), wind speed (m s-1), potential evapotranspiration (mm day-1) and potential evapotranspiration with interception correction (mm day-1), soil moisture content of 1-top layer (m depth), soil moisture content of 2-second layer (m depth), soil moisture content of 3-third layer (m depth) and soil moisture content of 4-bottom layer (m depth). |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/2bc23a5a-3a47-44da-80f6-ced6ae4ac45f |
Title | Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2016-2021 |
Description | This dataset combines average daily temperature and soil moisture data from nine experimental plots at the climate change field site Climoor located in Clocaenog forest, NE Wales. Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3). The experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8). Data is an extension of the micromet datasets covering 1998-2015 and 2015-2016; adding the time period September 2016 to December 2021. Soil temperatures were measured with T107 sensors, and soil moisture was measured with CS616 sensors, both from Campbell scientific. Temperature and moisture data were recorded in minute intervals, and automatically averaged as half-hourly by the data logger. Half-hourly data were automatically transferred to CEH/UKCEH servers using remote telemetry. Data which were not recorded are marked with "NA", faulty data were replaced with "-9999". The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/5d90d356-5b2c-4ce0-927a-e26efacff015 |
Title | Data from: Additive genetic and environmental variation interact to shape the dynamics of seasonal migration in a wild bird population |
Description | Dissecting joint micro-evolutionary and plastic responses to environmental perturbations requires quantifying interacting components of genetic and environmental variation underlying expression of key traits. This ambition is particularly challenging for phenotypically discrete traits where multiscale decompositions are required to reveal non-linear transformations of underlying genetic and environmental variation into phenotypic variation, and when effects must be estimated from incomplete field observations. We devised a joint multistate capture-recapture and quantitative genetic animal model and fitted this model to full-annual-cycle resighting data from partially-migratory European shags (Gulosus aristotelis) to estimate key components of genetic, environmental and phenotypic variance in the ecologically critical discrete trait of seasonal migration versus residence. We demonstrate non-negligible additive genetic variance in latent liability for migration, resulting in detectable micro-evolutionary responses following two episodes of strong survival selection. Further, liability-scale additive genetic effects interacted with substantial permanent individual and temporary environmental effects to generate complex non-additive effects on expressed phenotypes, causing substantial intrinsic gene-by-environment interaction variance on the phenotypic scale. Our analyses therefore reveal how temporal dynamics of partial seasonal migration arise from combinations of instantaneous micro-evolution and within-individual phenotypic consistency, and highlight how intrinsic phenotypic plasticity could expose genetic variation underlying discrete traits to complex forms of selection. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.pk0p2ngtg |
Title | Data from: Hierarchical variation in phenotypic flexibility across timescales and associated survival selection shape the dynamics of partial seasonal migration |
Description | Population responses to environmental variation ultimately depend on within-individual and among-individual variation in labile phenotypic traits that affect fitness, and resulting episodes of selection. Yet, complex patterns of individual phenotypic variation arising within and between time periods, and associated variation in selection, have not been fully conceptualised or quantified. We highlight how structured patterns of phenotypic variation in dichotomous threshold traits can theoretically arise and experience varying forms of selection, shaping overall phenotypic dynamics. We then fit novel multistate models to ten years of band-resighting data from European shags to quantify phenotypic variation and selection in a key threshold trait underlying spatio-seasonal population dynamics: seasonal migration versus residence. First, we demonstrate substantial among-individual variation alongside substantial between-year individual repeatability in within-year phenotypic variation ('flexibility'), with weak sexual dimorphism. Second, we demonstrate that between-year individual variation in within-year phenotypes ('supraflexibility') is structured and directional, consistent with the threshold trait model. Third, we demonstrate strong survival selection on within-year phenotypes, and hence on flexibility, that varies across years and sexes, including episodes of disruptive selection representing costs of flexibility. By quantitatively combining these results, we show how supraflexibility and survival selection on migratory flexibility jointly shape population-wide phenotypic dynamics of seasonal movement. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | http://datadryad.org/stash/dataset/doi:10.5061/dryad.3j9kd51mn |
Title | Data from: Reconciling diverse viewpoints within systematic conservation planning |
Description | Conservation encompasses numerous alternative viewpoints on what to value (features such as biodiversity, ecosystem services or socio-economic benefits) and how to convert these values into conservation policies that deliver for nature and people. Reconciling these differing values and viewpoints in policy development and implementation is a perennial challenge. Balancing differing stakeholder viewpoints within a single conservation plan risks some viewpoints overshadowing others. This can occur as some dominant viewpoints may lead to more marginal views being suppressed, and also through social biases during the planning process. Here we develop four separate 'caricature' conservation viewpoints, and spatially quantify each of them in order to test different approaches to equitable reconciliation. Each viewpoint prioritises different locations, dependent on the extent to which they deliver a variety of different biodiversity, well-being and economic goals. We then show how these different viewpoints can be reconciled using numeric methods. We find that a pluralist approach, which accounts for the spatial similarities and differences between viewpoints, is able to deliver equitably for multiple conservation features. This pluralist approach provides a coherent spatial conservation strategy with the capacity to satisfy advocates of quite divergent approaches to conservation. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | http://datadryad.org/stash/dataset/doi:10.5061/dryad.dr7sqvb2w |
Title | Data from: Strong survival selection on seasonal migration versus residence induced by extreme climatic events |
Description | 1. Elucidating the full eco-evolutionary consequences of climate change requires quantifying the impact of extreme climatic events (ECEs) on selective landscapes of key phenotypic traits that mediate responses to changing environments. Episodes of strong ECE-induced selection could directly alter population composition, and potentially drive micro-evolution. However, to date, few studies have quantified ECE-induced selection on key traits, meaning that immediate and longer-term eco-evolutionary implications cannot yet be considered. 2. One widely-expressed trait that allows individuals to respond to changing seasonal environments, and directly shapes spatio-seasonal population dynamics, is seasonal migration versus residence. Many populations show considerable among-individual phenotypic variation, resulting in 'partial migration'. However, variation in the magnitude of direct survival selection on migration versus residence has not been rigorously quantified, and empirical evidence of whether seasonal ECEs induce, intensify, weaken or reverse such selection is lacking. 3. We designed full-annual-cycle multi-state capture-recapture models that allow estimation of seasonal survival probabilities of migrants and residents from spatio-temporally heterogeneous individual resightings. We fitted these models to nine years of geographically extensive year-round resighting data from partially migratory European shags (Phalacrocorax aristotelis). We thereby quantified seasonal and annual survival selection on migration versus residence across benign and historically extreme non-breeding season (winter) conditions, and tested whether selection differed between females and males. 4. We show that two of four observed ECEs, defined as severe winter storms causing overall low survival, were associated with very strong seasonal survival selection against residence. These episodes dwarfed the weak selection or neutrality evident otherwise, and hence caused selection through overall annual survival. The ECE that caused highest overall mortality and strongest selection also caused sex-biased mortality, but there was little overall evidence of sex-biased selection on migration versus residence. 5. Our results imply that seasonal ECEs and associated mortality can substantially shape the landscape of survival selection on migration versus residence. Such ECE-induced phenotypic selection will directly alter migrant and resident frequencies, and thereby alter immediate spatio-seasonal population dynamics. Given underlying additive genetic variation, such ECEs could potentially cause micro-evolutionary changes in seasonal migration, and thereby cause complex eco-evolutionary population responses to changing seasonal environments. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | http://datadryad.org/stash/dataset/doi:10.5061/dryad.c2fqz616r |
Title | Data from: evaluating the use of lake sedimentary DNA in palaeolimnology: a comparison with long-term microscopy-based monitoring of the phytoplankton community |
Description | Palaeolimnological records provide valuable information about how phytoplankton respond to long-term drivers of environmental change. Traditional palaeolimnological tools such as microfossils and pigments are restricted to taxa that leave sub-fossil remains, and a method that can be applied to the wider community is required. Sedimentary DNA (sedDNA), extracted from lake sediment cores, shows promise in palaeolimnology, but validation against data from long-term monitoring of lake water is necessary to enable its development as a reliable record of past phytoplankton communities. To address this need, 18S rRNA gene amplicon sequencing was carried out on lake sediments from a core collected from Esthwaite Water (English Lake District) spanning ~105 years. This sedDNA record was compared with concurrent long-term microscopy-based monitoring of phytoplankton in the surface water. Broadly comparable trends were observed between the datasets, with respect to the diversity and relative abundance and occurrence of chlorophytes, dinoflagellates, ochrophytes and bacillariophytes. Up to 20% of genera were successfully captured using both methods, and sedDNA revealed a previously undetected community of phytoplankton. These results suggest that sedDNA can be used as an effective record of past phytoplankton communities, at least over timescales of less than 100 years. However, a substantial proportion of genera identified by microscopy were not detected using sedDNA, highlighting the current limitations of the technique that require further development such as reference database coverage. The taphonomic processes which may affect its reliability, such as the extent and rate of deposition and DNA degradation, also require further research. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.q83bk3jpw |
Title | Dataset for "The high frequency response correction of eddy covariance fluxes. Part 1: an experimental approach and its interdependence with the time-lag estimation" |
Description | This record contains codes and data to reproduce figures 3, 4 and 5 in Peltola et al. (2021) and flux time series processed with four different spectral correction methods. Please see more details in Peltola et al. (2021). Peltola, O., Aslan, T., Ibrom, A., Nemitz, E., Rannik, Ü., and Mammarella, I.: The high frequency response correction of eddy covariance fluxes. Part 2: the empirical approach and its interdependence with the time-lag estimation, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2020-479, in review, 2021. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | https://zenodo.org/record/4769419 |
Title | Dataset generated and analyzed in the article "Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK Climate Projections" |
Description | This dataset contains: Estimates of future and historical daily soil moisture values at 34 locations of the UK COsmic-ray Soil Moisture Observing System (COSMOS-UK) network (three netCDF files starting with "SM"). Each file is for one of the three time periods: 01 December 1980 - 29 November 2000, 01 December 2020 - 29 November 2040 and 01 December 2060 - 29 November 2080. Each file contains data for all 34 locations and 12 UKCP18 ensemble members. Hourly bias-corrected Local (2.2 km) UK Climate Projections 2018 (UKCP18) data (three netCDF files starting with "UKCP18"). Each file is for one of the three time periods: 01 December 1980 - 30 November 2000, 01 December 2020 - 30 November 2040 and 01 December 2060 - 30 November 2080. Each file contains data for all 34 locations, 12 UKCP18 ensemble members and seven variables: specific humidity, precipitation, temperature, downward shortwave radiation, downward longwave radiation, wind speed and atmospheric pressure. Coordinates of the 34 COSMOS-UK locations (csv file). Vegetation information for the considered sites (docx file). The soil moisture estimates are obtained by first optimising pedotransfer function parameters of the JULES land model and driving the model with bias-corrected 2.2 km UKCP18 data. This dataset was generated and analyzed in article: "Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK Climate Projections", by Magdalena Szczykulska, Chris Huntingford, Elizabeth Cooper and Jonathan G. Evans, which is to be submitted to Environmental Research Letters. Details are given in the above-mentioned article and the corresponding supplementary information. |
Type Of Material | Database/Collection of data |
Year Produced | 2024 |
Provided To Others? | Yes |
URL | https://zenodo.org/doi/10.5281/zenodo.10645187 |
Title | Dataset generated and analyzed in the article "Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK Climate Projections" |
Description | This dataset contains: Estimates of future and historical daily soil moisture values at 34 locations of the UK COsmic-ray Soil Moisture Observing System (COSMOS-UK) network (three netCDF files starting with "SM"). Each file is for one of the three time periods: 01 December 1980 - 29 November 2000, 01 December 2020 - 29 November 2040 and 01 December 2060 - 29 November 2080. Each file contains data for all 34 locations and 12 UKCP18 ensemble members. Hourly bias-corrected Local (2.2 km) UK Climate Projections 2018 (UKCP18) data (three netCDF files starting with "UKCP18"). Each file is for one of the three time periods: 01 December 1980 - 30 November 2000, 01 December 2020 - 30 November 2040 and 01 December 2060 - 30 November 2080. Each file contains data for all 34 locations, 12 UKCP18 ensemble members and seven variables: specific humidity, precipitation, temperature, downward shortwave radiation, downward longwave radiation, wind speed and atmospheric pressure. Coordinates of the 34 COSMOS-UK locations (csv file). Vegetation information for the considered sites (docx file). The soil moisture estimates are obtained by first optimising pedotransfer function parameters of the JULES land model and driving the model with bias-corrected 2.2 km UKCP18 data. This dataset was generated and analyzed in article: "Future increases in soil moisture drought frequency at UK monitoring sites: merging the JULES land model with observations and convection-permitting UK Climate Projections", by Magdalena Szczykulska, Chris Huntingford, Elizabeth Cooper and Jonathan G. Evans, which is to be submitted to Environmental Research Letters. Details are given in the above-mentioned article and the corresponding supplementary information. |
Type Of Material | Database/Collection of data |
Year Produced | 2024 |
Provided To Others? | Yes |
URL | https://zenodo.org/doi/10.5281/zenodo.10645188 |
Title | Dataset, posterior summaries and posterior samples for quantifying fluctuating selection on seasonal migration versus residence in European shags |
Description | This dataset is associated with the manuscript Episodes of opposing survival and reproductive selection cause strong fluctuating selection on seasonal migration versus residence. Quantifying temporal variation in sex-specific selection on key ecologically relevant traits, and quantifying how such variation arises through synergistic or opposing components of survival and reproductive selection, is central to understanding eco-evolutionary dynamics but rarely achieved. Seasonal migration versus residence is one key trait that directly shapes spatio-seasonal population dynamics in spatially- and temporally-varying environments, but temporal dynamics of sex-specific selection have not been fully quantified. We fitted multi-event capture-recapture models to year-round ring resightings and breeding success data from partially-migratory European shags (Phalacrocorax aristotelis) to quantify temporal variation in annual sex-specific selection on seasonal migration versus residence arising through adult survival, reproduction, and the combination of both (i.e. annual fitness). We demonstrate episodes of strong, and strongly fluctuating, selection through annual fitness that were broadly synchronised across females and males. These overall fluctuations arose because strong reproductive selection against migration in several years contrasted with strong survival selection against residence in years with extreme climatic events. These results indicate how substantial phenotypic and genetic variation in migration versus residence could be maintained, and highlight that biologically important fluctuations in selection may not be detected unless both survival selection and reproductive selection are appropriately quantified and combined. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | http://datadryad.org/stash/dataset/doi:10.5061/dryad.6wwpzgmxw |
Title | Decadal maps of multiple alternative future land use based on UK Shared Socioeconomic Pathways (UK-SSPs) and climate projections (UK-RCPs) |
Description | The data describes future land use projections at 1 km^2 resolution developed by CRAFTY-GB. For each of six Shared Socioeconomic Pathways (SSP-RCP) scenarios, gridded land use maps for Great Britain are provided, each as a stacked raster file with seven bands representing land use at each decadal timestep, from 2020 to 2080. CRAFTY-GB is a new agent-based model of the British land system operating at a 1 km^2 resolution and based on a broad range of available land system data . The model is based on linked UK-RCP climate scenarios and UK-SSPs socio-economic pathway (SSP) scenarios, based on global SSPs developed by the Intergovernmental Panel on Climate Change (IPCC). It extrapolates the impact of these on the British Land system at decadal timesteps from 2020-2080. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f9ab3051-4f85-415f-b691-371ff8e951f2 |
Title | Earthworm species identification and counts at three long-term grassland-to-woodland land use contrasts across England |
Description | This dataset contains earthworm counts and identification from three long-term grassland-to-woodland land use contrasts across England between 2018 and 2021 . Each land use contrast was assigned one grassland and one woodland plot, respectively. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. The three grassland-to-woodland contrasts were sampled once: Gisburn (Gisburn-1, Gisburn-2), and Kielder Forest. The earthworms were counted in 25 cm3 soil cubes and were identified to a species level. These measurements are co-located with estimates aboveground biomass production and litter layer depth, soil physical, chemical and biological properties (0-1 m), and soil hydraulic measurements (soil water release curves and hydraulic conductivity). A file is provided to connect all co-located measurements. This project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/2636c7e1-ec8c-4b77-9f4e-f731781191ca |
Title | Eddy covariance measurements of carbon dioxide, energy and water fluxes at a conservation managed fen, Wicken Sedge Fen, Cambridgeshire, UK, 2009 to 2010 |
Description | This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (t) measured at the Wicken Sedge Fen, a conservation managed lowland fen (site code: EF-LN) in the Cambridgeshire Fens, UK. Turbulent flux densities (fluxes) were monitored using the micrometeorological eddy covariance (EC) technique between 2009-03-20 to 2009-12-31, and 2010-04-09 to 2011-01-16. The dataset includes ancillary weather and soil physics observations, as well as variables that characterise atmospheric turbulence. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/a70ebc3a-4a11-4e7d-bae0-c9808e0cb585 |
Title | Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1km resolution, 1750-2100 |
Description | This dataset estimates and spatially distributes anthropogenic emissions of five metals (Cd, Cu, Ni, Pb & Zn) and seven air pollutants (CO, NH3, NOx, PM2.5, PM10, SOx & NMVOCs) in the UK, on a 1km x 1km resolution, from 1750 to 2100. The data from 1970 to 2018 are represented by the UK's National Atmospheric Emissions Inventory and, as such, the Selected Nomenclature for Air Pollution (SNAP) sector classification system is used throughout the entire time series for consistency (see https://naei.beis.gov.uk/ for details). The work was supported by the UK-SCAPE programme funded by Natural Environmental Research Council National Capability (Award NE/R016429/1) |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/4b392dc0-0219-4494-8420-82e42b93b445 |
Title | European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition for 2002-2021 |
Description | This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates annual averaged atmospheric composition at 3x3 km2 grid for the years 2002 to 2021. The data consists of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), SO2, NH3, NOX, and O3. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/ca302d30-7b8b-46ec-90b6-67b79df00c92 |
Title | European Monitoring and Evaluation Program Model for the UK (EMEP4UK) monthly atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2002-2021 |
Description | This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates monthly averaged atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen at 3x3 km2 grid for the years 2002 to 2021. The data consists of atmospheric deposition values of oxidised sulphur, oxidised nitrogen, and reduced nitrogen. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/904af4a0-d66d-460d-82eb-c8965e161b3e |
Title | Flower-insect timed count data from the UK Pollinator Monitoring Scheme, 2017-2020 version 2 |
Description | This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This is version 2 of the dataset; the previous version contained some duplicate data rows, which have been deduplicated in version 2. The "public" FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The "1 km square" FIT Count uses the same methodology, but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares in England, Scotland and Wales, and also gathers data on pan-trapped insects (see separate dataset). The UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS is jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/13aed7ac-334f-4bb7-b476-4f1c3da45a13 |
Title | Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2 |
Description | Gridded hydrological model river flow estimates on a 1km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of 7-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member. To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/18be3704-0a6d-4917-aa2e-bf38927321c5 |
Title | Grid-to-Grid model estimates of river flow for Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2 |
Description | Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence, and annual minima of 7-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member. To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid and c) a 1km x 1km grid identifying majority lake cells. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/76057b0a-b18f-496f-891c-d5b22bd0b291 |
Title | Gridded (1km) physical river characteristics for the UK |
Description | The dataset includes five files of UK physical river characteristics including four files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: • Outflow drainage directions (D8) • Catchment areas (km2) • Widths of bankfull rivers (m) • Depths of bankfull rivers (m) • NRFA gauging station locations (easting (m), northing (m)) The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | Unknown at this time |
URL | https://nora.nerc.ac.uk/id/eprint/532361/ |
Title | Gridded estimates of Ellenberg N, R, F, and L indicators for Great Britain, 1990 and 2015-2019 |
Description | This information product contains gridded estimates of Ellenberg vegetation indicator scores for four different indicators: fertility (N); pH/reactivity (R); light availability (L) and moisture (F) at 1km2 resolution. Both cover-weighted (cwt) and non-cover weighted (site) Ellenberg indicators are estimated. Estimates are made for two different time periods, 1990 and 2015-2019 and the change between the two time periods is also presented. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/0a9900f2-8556-4487-bc13-9c2fdc05082c |
Title | Habitat samples from the National Plant Monitoring Scheme, 2015-2022 |
Description | This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of fixed plots at the metre-scale. Other information includes the date of sampling, data regarding the spatial location of the plot, and an assessment of whether or not the recorded broad habitat is reported to have changed between surveyor visits. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/a12b5c70-c0e2-48cf-b0b7-3e95791feca9 |
Title | Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 1750-2018 |
Description | This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for years between 1750 and 2018. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2024 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/bf508daa-c33c-4d75-a250-72b94b1855d4 |
Title | High resolution European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018 |
Description | This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 1x1 km2 grid for the year 2018. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.1.1. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50 |
Title | Hourly data from automatic water monitoring buoy from Blelham Tarn, 2019 |
Description | Air temperature, solar radiation flux, wind speed and lake water temperatures at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth are measured at an automatic monitoring buoy in Blelham Tarn. All data is given in GMT (Greenwich Mean Time). This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/467942bd-2cd5-4038-bc4f-5d77535d99f1 |
Title | Hourly relative humidity data from automatic water monitoring buoy from Blelham Tarn 2012 to 2019 |
Description | Data comprise relative humidity measured at an automatic monitoring buoy located in Blelham Tarn, UK. Data are provided from January 2012 to December 2019. Hourly averages are given, calculated from measurements taken every four minutes. All data is given in GMT (Greenwich Mean Time). This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/3df05e85-2c56-4bd9-9918-44b760e20b2e |
Title | Improving assessments of data-limited populations using life-history theory |
Description | 1. Predicting how populations may respond to climate change and anthropogenic pressures requires detailed knowledge of demographic traits, such as survival and reproduction. However, the availability of these data varies greatly across space and taxa. Therefore, it is common practice to conduct population assessments by filling in missing values from surrogate species or other populations of the same species. Using these independent surrogate values concurrently with observed data neglects the life-history trade-offs that connect the different aspects of a population's demography. Consequently, this approach introduces biases that could ultimately lead to erroneous management decisions. 2. We use a Bayesian hierarchical framework to combine fragmented multi-population data with established life-history theory and reconstruct population-specific demographic data across a substantial part of a species breeding range. We apply our analysis to a long-lived colonial species, the black-legged kittiwake Rissa tridactyla, that is classified as globally Vulnerable and is highly threatened by increasing anthropogenic pressures, including offshore renewable energy development. We then use a projection analysis to examine how the reconstructed demographic parameters may improve population assessments, compared to models that combine observed data with independent surrogate values. 3. Demographic parameters reconstructed using a hierarchical framework can be utilised in a range of population modelling approaches. They can also be used as reference estimates to assess whether independent surrogate values are likely to over or underestimate missing demographic parameters. We show that surrogate values from independent sources are often used to fill in missing parameters that have large potential demographic impact, and that resulting biases are driven in unpredictable directions thus precluding assessments from being consistently precautionary. 4. Synthesis and applications. Our study dramatically increases the spatial coverage of population-specific demographic data for black-legged kittiwakes. The reconstructed demographic parameters presented can also be used immediately to reduce uncertainty in the consenting process for offshore wind development in the United Kingdom and Ireland. More broadly, we show that the reconstruction approach used here provides a new avenue for improving evidence-based management and policy action for animal and plant populations with fragmented and error prone demographic data. 22-Mar-2021 |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.qnk98sfg0 |
Title | Insect species richness for each plant species and insect-plant interactions from the Database of Insects and their Food Plants [DBIF] version 2 |
Description | This dataset consists of 4,397 insect species associated with 679 native plant species, 120 archaeophytes, and 234 neophytes from the Database of Insects and their Food Plants (DBIF). The DBIF details approximately 60,000 interactions between phytophagous insect (and mite) species and plants recorded in Great Britain over the last century, based on a wide variety of sources, including entomological journals and field guides. The data here represents a reduced subset of the full DBIF (13,277 interactions), only including interactions resolved to the species level (insect species x associated with host plant species y), records that have been expertly verified as reliable and included in previous large-scale analyses (Ward 1988; Ward & Spalding 1993; Ward et al. 1995; Ward et al. 2003), and records that are certain to have occurred in Great Britain. Any records originating from captive breeding studies are excluded. Finally, only plants with associated phylogenetic data and native status are included. Host plant distribution size is also included, in addition to a quantification of the distinctiveness of the insect communities found on a subset of the non-native plants. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/33a825f3-27cb-4b39-b59c-0f8182e8e2e4 |
Title | Integrating data from different taxonomic resolutions to better estimate community alpha diversity |
Description | Integrated distribution models (IDMs), in which datasets with different properties are analysed together, are becoming widely used to model species distributions and abundance in space and time. To date, the IDM literature has focused on technical and statistical issues, such as the precision of parameter estimates and mitigation of biases arising from unstructured data sources. However, IDMs have an unrealised potential to estimate ecological properties that could not be properly derived from the source datasets if analysed separately. We present a model that estimates community alpha diversity metrics by integrating one species-level dataset of presence-absence records with a co-located dataset of group-level counts (i.e. lacking information about species identity). We illustrate the ability of community IDMs to capture the true alpha diversity through simulation studies and apply the model to data from the UK Pollinator Monitoring Scheme, to describe spatial variation in the diversity of solitary bees, bumblebees and hoverflies. The simulation and case studies showed that the proposed IDM produced more precise estimates of the community diversity than the single models, and the analysis of the real dataset further showed that the alpha diversity estimates from the IDM were averages of the single models. Our findings also revealed that IDMs had a higher prediction accuracy for all the insect groups in most cases, with this performance linked to the information provided by a data source into the IDM. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.34tmpg4s0 |
Title | Isoprene concentration and flux measurements and associated meteorological parameters from Auchencorth Moss, Scotland, June and July, 2015 |
Description | Isoprene flux and concentration measurements made from Auchencorth Moss during the summer of 2015. Isoprene concentrations were measured using a proton transfer reaction mass spectrometer (PTR-MS) and fluxes were calculated using the eddy covariance technique. The dataset includes the supporting meteorology including air temperature, photosynthetically active radiation, wind speed, wind direction, friction velocity, sensible heat flux. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f78b0f29-3df4-4a6c-a096-a1c73828b0a0 |
Title | Köppen-Geiger climate classification prediction maps for the UK at 1 km resolution, 1901-2080 |
Description | The data deposited here underlie an assessment of the exposure of UK habitats to climate change, and a linked assessment of how well current UK plant monitoring schemes cover these exposure gradients (see Wilson & Pescott, 2023 in press). The current dataset consists of spatially explicit (1 km gridded) classifications of predicted Köppen-Geiger climate types (Peel et al., 2007), based on both past (observed) and future (modelled) climate data. |
Type Of Material | Database/Collection of data |
Year Produced | 2023 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/4aed4496-f9e2-494d-a0f9-adc297f033a4 |
Title | Land Cover Change 1990-2015 (25m raster, GB) |
Description | This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes. The product consists of five bands: Band 1 - a raster version of LCM1990 in the six simplified classes; Band 2 - a raster version of LCM2015 in the six simplified classes; Band 3 - a binary layer, where 0 means no change between 1990 and 2015 and 1 means change between 1990 and 2015; Band 4 - shows the 'change from' class; Band 5 - provides the 'change to' class. Full details of the Land Cover Change data set are provided in the Land Cover Change data set documentation, which users should consult. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/07b6e5e9-b766-48e5-a28c-5b3e35abecc0 |
Title | Land Cover Change 1990-2015 (25m raster, N. Ireland) |
Description | This dataset consists of the 25m raster, Land Cover Change 1990 - 2015 product for Northern Ireland. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes. The product consists of five bands: Band 1 - a raster version of LCM1990 in the six simplified classes; Band 2 - a raster version of LCM2015 in the six simplified classes; Band 3 - a binary layer, where 0 means no change between 1990 and 2015 and 1 means change between 1990 and 2015; Band 4 - shows the 'change from' class; Band 5 - provides the 'change to' class. Full details of the Land Cover Change dataset are provided in the Land Cover Change dataset documentation, which users should consult. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/a747aa7a-c875-42e1-ac31-984f6571f446 |
Title | Land Cover Map 1990 (1km dominant aggregate class, GB) |
Description | This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel. The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/84c07c67-88a4-439a-a339-b0577afd3886 |
Title | Land Cover Map 1990 (1km dominant aggregate class, N. Ireland) |
Description | This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel. The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/380f49e5-9448-4d26-b832-fe176d3a1978 |
Title | Land Cover Map 1990 (1km dominant target class, GB) v2 |
Description | This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f5e3bd00-efd0-4dc6-a454-aa597d84764a |
Title | Land Cover Map 1990 (1km dominant target class, N. Ireland) |
Description | This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/d33593d7-5c4d-419e-924c-b341847fd6ae |
Title | Land Cover Map 1990 (1km percentage aggregate class, GB) |
Description | This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/c7195a20-7943-4d5d-9f6e-c9fead472dde |
Title | Land Cover Map 1990 (1km percentage aggregate class, N. Ireland) |
Description | This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/1278d7b5-da47-46b5-b1a6-049e726425a7 |
Title | Land Cover Map 1990 (1km percentage target class, GB) v2 |
Description | This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8 |
Title | Land Cover Map 1990 (1km percentage target class, N. Ireland) |
Description | This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/4a5e720f-5f1d-4e96-8e34-ae32c668c613 |
Title | Land Cover Map 1990 (25m raster, GB) v2 |
Description | This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/1be1912a-916e-42c0-98cc-16460fac00e8 |
Title | Land Cover Map 1990 (25m raster, N. Ireland) |
Description | This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - purity - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. LCM1990 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/d446589e-478f-4206-80ed-38a5ff4a7dc0 |
Title | Land Cover Map 1990 (vector, GB) |
Description | This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/304a7a40-1388-49f5-b3ac-709129406399 |
Title | Land Cover Map 1990 (vector, N. Ireland) |
Description | This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The vector data set is the core LCM data set from which the full range of other LCM1990 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/d6a3588b-23a8-4715-88e9-e21ab0060727 |
Title | Land Cover Map 2017 (1km summary rasters, GB and N. Ireland) |
Description | This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class. The 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2017 products are available from the LCM2017 product documentation. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/be0bdc0e-bc2e-4f1d-b524-2c02798dd893 |
Title | Land Cover Map 2017 (20m classified pixels, GB) |
Description | This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f6f86b1a-af6d-4ed8-85af-21ee97ec5333 |
Title | Land Cover Map 2017 (20m classified pixels, N. Ireland) |
Description | This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f6b551ea-e079-4150-b13c-b5f89f5dbaa6 |
Title | Land Cover Map 2017 (25m rasterised land parcels, GB) |
Description | This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/499212cd-d64a-43ba-b801-95402e4d4098 |
Title | Land Cover Map 2017 (25m rasterised land parcels, N. Ireland) |
Description | This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/8b37b063-b5fe-42cc-ab2d-bf96626da036 |
Title | Land Cover Map 2017 (land parcels, GB) |
Description | This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2017 20m classified pixels dataset. All further LCM2017 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help assessing classification confidence and accuracy; for a full explanation please refer to the dataset documentation. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/b77ce981-d038-4774-a620-f50da5dd3d31 |
Title | Land Cover Map 2017 (land parcels, N. Ireland) |
Description | This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2017 20m classified pixels dataset. All further LCM2017 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/efb98222-5b9a-4d56-990d-5ab85eaf187e |
Title | Land Cover Map 2018 (1km summary rasters, GB and N. Ireland) |
Description | This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class. The 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2018 products are available from the LCM2017-19 product documentation. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/9b68ee52-8a95-41eb-8ef1-8d29e2570b00 |
Title | Land Cover Map 2018 (20m classified pixels, GB) |
Description | This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a |
Title | Land Cover Map 2018 (20m classified pixels, N. Ireland) |
Description | This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/cf5050d8-495d-45a6-9e2e-bba5239284c2 |
Title | Land Cover Map 2018 (25m rasterised land parcels, GB) |
Description | This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels. It is provided as a three-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/25c6451b-5c88-40da-9a63-c3ec473e4874 |
Title | Land Cover Map 2018 (25m rasterised land parcels, N. Ireland) |
Description | This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/396c1249-84f0-4ca0-891d-4188d750c1ee |
Title | Land Cover Map 2018 (land parcels, GB) |
Description | This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6 |
Title | Land Cover Map 2018 (land parcels, N. Ireland) |
Description | This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/35f15502-d340-4ab5-a586-abd42f238b6e |
Title | Land Cover Map 2019 (1km summary rasters, GB and N. Ireland) |
Description | This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class. The 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2019 products are available from the LCM2017-19 product documentation. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/e5632f1b-040c-4c39-8721-4834ada6046a |
Title | Land Cover Map 2019 (20m classified pixels, GB) |
Description | This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a two-band, 8-bit integer raster. Band 1 is the UKCEH Land Cover Class identifier, band 2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/643eb5a9-9707-4fbb-ae76-e8e53271d1a0 |
Title | Land Cover Map 2019 (20m classified pixels, N. Ireland) |
Description | This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/5517d5d1-1e8c-4e19-b2f1-06f43bc74f1c |
Title | Land Cover Map 2019 (25m rasterised land parcels, GB) |
Description | This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/f15289da-6424-4a5e-bd92-48c4d9c830cc |
Title | Land Cover Map 2019 (25m rasterised land parcels, N. Ireland) |
Description | This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/2f711e25-8043-4a12-ab66-a52d4e649532 |
Title | Land Cover Map 2019 (land parcels, GB) |
Description | This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://catalogue.ceh.ac.uk/id/44c23778-4a73-4a8f-875f-89b23b91ecf8 |
Title | Land Cover Map 2019 (land parcels, N. Ireland) |
Description | This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |