Resilient Farming Futures: Digital platforms for supporting national agroecosystem ‘resilience’ through systems adaptations
Lead Research Organisation:
Rothamsted Research
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Technical Summary
Agroecosystems deliver goods and services but face
unprecedented abiotic and biotic stresses. There is insufficient understanding of which stress
combinations disrupt ‘resilience’ most. RFF will develop multi-scale systems understanding of
single and compound stress impacts to embed ‘resilience’ in UK agriculture under three thematic
Work Packages: (1) Understanding impacts of future single and compound climate, policy and
biotic stresses on agroecosystem resilience; (2) Detecting agroecosystem ‘resilience’ using novel
data science methods; (3) Digital platforms for supporting national resilience through systems
adaptations. (1) will involve in silico and in vivo experiments for the ‘resilience’ of agroecosystems
in the very near (2030) and near (2050) futures; (2) will develop statistical and machine learning
strategies to detect shocks to the ‘resilience’ of food production and regulating services; in silico
experiments in (3) will explore systems-scale adaptations for forecast climate futures couched
within digital frameworks. We will generate forward-looking digital platforms to enable stakeholders
to optimise systems level ‘resilience’, FAIR data and publications for science, farming and policy.
unprecedented abiotic and biotic stresses. There is insufficient understanding of which stress
combinations disrupt ‘resilience’ most. RFF will develop multi-scale systems understanding of
single and compound stress impacts to embed ‘resilience’ in UK agriculture under three thematic
Work Packages: (1) Understanding impacts of future single and compound climate, policy and
biotic stresses on agroecosystem resilience; (2) Detecting agroecosystem ‘resilience’ using novel
data science methods; (3) Digital platforms for supporting national resilience through systems
adaptations. (1) will involve in silico and in vivo experiments for the ‘resilience’ of agroecosystems
in the very near (2030) and near (2050) futures; (2) will develop statistical and machine learning
strategies to detect shocks to the ‘resilience’ of food production and regulating services; in silico
experiments in (3) will explore systems-scale adaptations for forecast climate futures couched
within digital frameworks. We will generate forward-looking digital platforms to enable stakeholders
to optimise systems level ‘resilience’, FAIR data and publications for science, farming and policy.
Planned Impact
unavailable
Organisations
- Rothamsted Research (Lead Research Organisation)
- University of Messina (Collaboration)
- Bangor University (Collaboration)
- Agricultural Industries Confederation (Collaboration)
- University of Guelph (Collaboration)
- ABERYSTWYTH UNIVERSITY (Collaboration)
- Wageningen University & Research (Collaboration)
- LANCASTER UNIVERSITY (Collaboration)
- University of Southern Queensland (Collaboration)
- Sustainable Soils Alliance (Collaboration)
- UNIVERSITY OF GLOUCESTERSHIRE (Collaboration)
- University of Reggio Calabria (Collaboration)
- University of Cambridge (Collaboration)
- Microsoft Research (Collaboration)
- UNIVERSITY OF GREENWICH (Collaboration)
- FOREST RESEARCH (Collaboration)
- AGRI-FOOD AND BIOSCIENCES INSTITUTE (Collaboration)
- UNIVERSITY OF THE WEST OF ENGLAND (Collaboration)
- ENVIRONMENT AGENCY (Collaboration)
- NATURAL ENGLAND (Collaboration)
- QUEEN'S UNIVERSITY BELFAST (Collaboration)
- UNIVERSITY OF ST ANDREWS (Collaboration)
- Wuhan University (Collaboration)
- CRANFIELD UNIVERSITY (Collaboration)
- University of Oxford (Collaboration)
- Julich Research Centre (Collaboration)
- UK CENTRE FOR ECOLOGY & HYDROLOGY (Collaboration)
- UNIVERSITY OF EAST ANGLIA (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- National Trust (Collaboration)
- University of Leeds (Collaboration)
- Royal Agricultural University (RAU) (Collaboration)
- UNIVERSITY OF LEICESTER (Collaboration)
- RSK ADAS Ltd (Collaboration)
- Scotland's Rural College (Collaboration)
- University of Aberdeen (Collaboration)
- UNIVERSITY OF EXETER (Collaboration)
- Alan Turing Institute (Collaboration)
- Meteorological Office UK (Collaboration)
- University of Maryland (Collaboration)
- Department For Environment, Food And Rural Affairs (DEFRA) (Collaboration)
- James Hutton Institute (Collaboration)
- UNIVERSITY OF READING (Collaboration)
- Ulster University (Collaboration)
- ADAS (Collaboration)
Publications
Blackwell M
(2024)
Potential unintended consequences of agricultural land use change driven by dietary transitions
in npj Sustainable Agriculture
Cao X
(2024)
Spray-induced gene silencing as a potential tool to control rubber tree powdery mildew disease
in Physiological and Molecular Plant Pathology
Clarke, J.
(2024)
New biotracer sheds light on land-use response to extreme wet weather
in Fertilizer Focus
Combemale B
(2024)
Towards A Framework For Farm Scale Digital Twin
Comber A
(2024)
Encapsulating Spatially Varying Relationships with a Generalized Additive Model
in ISPRS International Journal of Geo-Information
Comber A
(2023)
Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM
in International Journal of Geographical Information Science
| Title | Resilient Farming Futures Introduction Animation |
| Description | Creation of a short animation to introduce the RFF project |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2023 |
| Impact | Used as an engagement tool to multiple audiences |
| Description | A Collins appointed member of the UK Climate Change Committee Farming Advisory Group |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Evidence Week in Parliament - Intelligent Farming |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | A Digital Agriculture Route Map for the UK: Twins and AI for Decision Support |
| Amount | £332,717 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2023 |
| End | 01/2026 |
| Description | A national UK programme in AI and digital twins to address the biodiversity and climate crisis (Chris Baker) |
| Amount | £5,000,000 (GBP) |
| Funding ID | EP/Y028880/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 03/2024 |
| Description | Global Centres in Clean energy and Climate Change |
| Amount | £6,250,000 (GBP) |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2023 |
| End | 11/2028 |
| Description | International Support Fund (Capacity Building) - APSIM model with Remote Sensing (Gonzalo Irisarri) |
| Amount | £10,000 (GBP) |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2023 |
| End | 04/2023 |
| Description | UKRI / Defra LUNZ Hub |
| Amount | £6,250,000 (GBP) |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2023 |
| End | 02/2027 |
| Title | A large ensemble of CMIP6-based transient climate scenarios for impact assessment in Great Britain. |
| Description | Climate change impact assessments often require a large ensemble of local-scale transient climate scenarios. Each ensemble member represents plausible long weather series at a local scale. The climate projections from Global Climate Models (GCMs) are difficult to use at local scale due to their coarse spatial and temporal resolution. Moreover, very few projections are usually available for each GCM due to a high computational cost. An alternative approach involves employing a stochastic weather generator to produce a large number of transient scenarios based on the climate projections from GCMs. In a current dataset, transient climate scenarios were generated using the LARS-WG weather generator, based on climate projections from GCMs from the CMIP6 ensemble across 26 representative sites throughout the UK. Each transient scenario spans the period from 2020 to 2090. At each site, 100 transient scenarios were generated for two emission scenarios (SSP2-4.5 and SSP5-8.5) and five selected GCMs from CMIP6 (ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR, and MRI-ESM2-0). The choice of GCMs were based on their performance over northern Europe and their climate sensitivity. The use of a subset of GCMs substantially reduces computational time required for impact assessment, while allowing to quantify uncertainties in impacts related to uncertain future climate. The dataset can be used with impact models in various fields, including, land and water resources, agriculture and food production, ecology and epidemiology, and human health and welfare, when undertaking impact assessment of climate change and decision support for mitigation and adaptation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.14040993 |
| Title | Avery & Catt Soil Map, digitised |
| Description | Digitised geolocated map and associated data for the Avery & Catt Harpenden Soil Map. Loreto Pino-Chandia, Kevin Coleman, and Richard Ostler |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Not aware of impacts yet |
| URL | https://doi.org/10.23637/rothamsted.98z89 |
| Title | CMIP6-based local-scale climate scenarios for impact assessment in Great Britain. |
| Description | Climate change impact assessments require local-scale climate scenarios. The climate change projections from Global Climate Models (GCMs) are difficult to use at local scale due to their coarse spatial and temporal resolution. It is important to have climate change scenarios based on GCMs climate projections GCMs ensembles, e.g. CMIP6, downscaled to local scale to account for their inherent uncertainty, and to generate a sufficient large number of realisations to account for inter-annual climate variability and low frequency but high impact extreme climatic events. A dataset of future climate change scenarios was therefore generated at 26 representative sites across the UK based on the latest CMIP6 multi-model ensemble downscaled to local-scale by using a stochastic weather generator LARS-WG 7.0. The data set provides 1,000 years of daily weather at each selected site for a baseline (1985-2015), and very near- (2030) and near-future (2050) climate change scenarios, based on five GCMs and two emission scenarios (Shared Socioeconomic Pathways - SSPs viz. SSP2-4.5 and SSP5-8.5). A total of 15 GCMs from the CMIP6 ensemble were integrated in LARS-WG 7.0. LARS-WG downscales future climate projections from the GCMs and incorporates changes at local scale in the mean climate, climatic variability, and extreme events by modifying the statistical distributions of the weather variables at each site. Based on the performance of the GCMs over northern Europe and their climate sensitivity, a subset of five GCMs was selected, viz.; ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR and MRI-ESM2-0. The selected GCMs are evenly distributed among the full set of 15 GCMs. The use of a subset of GCMs substantially reduces computational time, while allowing assessment of uncertainties in impact studies related to uncertain future climate projections arising from GCMs. The 1000 years of realisations of daily weather for the baseline as well as future climate change scenarios are helpful for estimating seasonality and inter-annual variation, and for detecting short, low frequency but high impact extreme climatic signals, such as heat waves, floods and drought events. The dataset can be used as an input to climate change impact models in various fields, including, land and water resources, agriculture and food production, ecology and epidemiology, and human health and welfare. Researchers, breeders, farm and programme managers, social and public sector leaders, and policymakers may benefit from this new dataset when undertaking impact assessment of climate change and decision support for mitigation and adaptation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.14040877 |
| Title | CMIP6-based local-scale climate scenarios for impact assessment in the UK. |
| Description | Climate change impact assessments require local-scale climate scenarios. The climate change projections from Global Climate Models (GCMs) are difficult to use at local scale due to their coarse spatial and temporal resolution. It is important to have climate change scenarios based on GCMs climate projections GCMs ensembles, e.g. CMIP6, downscaled to local scale to account for their inherent uncertainty, and to generate a sufficient large number of realisations to account for inter-annual climate variability and low frequency but high impact extreme climatic events. A dataset of future climate change scenarios was therefore generated at 26 representative sites across the UK based on the latest CMIP6 multi-model ensemble downscaled to local-scale by using a stochastic weather generator LARS-WG 7.0. The data set provides 1,000 years of daily weather at each selected site for a baseline (1985-2015), and very near- (2030) and near-future (2050) climate change scenarios, based on five GCMs and two emission scenarios (Shared Socioeconomic Pathways - SSPs viz. SSP2-4.5 and SSP5-8.5). A total of 15 GCMs from the CMIP6 ensemble were integrated in LARS-WG 7.0. LARS-WG downscales future climate projections from the GCMs and incorporates changes at local scale in the mean climate, climatic variability, and extreme events by modifying the statistical distributions of the weather variables at each site. Based on the performance of the GCMs over northern Europe and their climate sensitivity, a subset of five GCMs was selected, viz.; ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR and MRI-ESM2-0. The selected GCMs are evenly distributed among the full set of 15 GCMs. The use of a subset of GCMs substantially reduces computational time, while allowing assessment of uncertainties in impact studies related to uncertain future climate projections arising from GCMs. The 1000 years of realisations of daily weather for the baseline as well as future climate change scenarios are helpful for estimating seasonality and inter-annual variation, and for detecting short, low frequency but high impact extreme climatic signals, such as heat waves, floods and drought events. The dataset can be used as an input to climate change impact models in various fields, including, land and water resources, agriculture and food production, ecology and epidemiology, and human health and welfare. Researchers, breeders, farm and programme managers, social and public sector leaders, and policymakers may benefit from this new dataset when undertaking impact assessment of climate change and decision support for mitigation and adaptation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.10556985 |
| Title | CMIP6-based local-scale climate scenarios for impact assessment in the UK. |
| Description | Climate change impact assessments require local-scale climate scenarios. The climate change projections from Global Climate Models (GCMs) are difficult to use at local scale due to their coarse spatial and temporal resolution. It is important to have climate change scenarios based on GCMs climate projections GCMs ensembles, e.g. CMIP6, downscaled to local scale to account for their inherent uncertainty, and to generate a sufficient large number of realisations to account for inter-annual climate variability and low frequency but high impact extreme climatic events. A dataset of future climate change scenarios was therefore generated at 26 representative sites across the UK based on the latest CMIP6 multi-model ensemble downscaled to local-scale by using a stochastic weather generator LARS-WG 7.0. The data set provides 1,000 years of daily weather at each selected site for a baseline (1985-2015), and very near- (2030) and near-future (2050) climate change scenarios, based on five GCMs and two emission scenarios (Shared Socioeconomic Pathways - SSPs viz. SSP2-4.5 and SSP5-8.5). A total of 15 GCMs from the CMIP6 ensemble were integrated in LARS-WG 7.0. LARS-WG downscales future climate projections from the GCMs and incorporates changes at local scale in the mean climate, climatic variability, and extreme events by modifying the statistical distributions of the weather variables at each site. Based on the performance of the GCMs over northern Europe and their climate sensitivity, a subset of five GCMs was selected, viz.; ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR and MRI-ESM2-0. The selected GCMs are evenly distributed among the full set of 15 GCMs. The use of a subset of GCMs substantially reduces computational time, while allowing assessment of uncertainties in impact studies related to uncertain future climate projections arising from GCMs. The 1000 years of realisations of daily weather for the baseline as well as future climate change scenarios are helpful for estimating seasonality and inter-annual variation, and for detecting short, low frequency but high impact extreme climatic signals, such as heat waves, floods and drought events. The dataset can be used as an input to climate change impact models in various fields, including, land and water resources, agriculture and food production, ecology and epidemiology, and human health and welfare. Researchers, breeders, farm and programme managers, social and public sector leaders, and policymakers may benefit from this new dataset when undertaking impact assessment of climate change and decision support for mitigation and adaptation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | climate change scenarios |
| URL | https://zenodo.org/doi/10.5281/zenodo.10556986 |
| Title | CMIP6-based transient climate scenarios for impact assessment in the UK. |
| Description | Climate change impact assessments often require a large ensemble of local-scale transient climate scenarios. Each ensemble member represents plausible long weather series at a local scale. The climate projections from Global Climate Models (GCMs) are difficult to use at local scale due to their coarse spatial and temporal resolution. Moreover, very few projections are usually available for each GCM due to a high computational cost. An alternative approach involves employing a stochastic weather generator to produce a large number of transient scenarios based on the climate projections from GCMs. In a current dataset, transient climate scenarios were generated using the LARS-WG weather generator, based on climate projections from GCMs from the CMIP6 ensemble across 26 representative sites throughout the UK. Each transient scenario spans the period from 2020 to 2090. At each site, 100 transient scenarios were generated for two emission scenarios (SSP2-4.5 and SSP5-8.5) and five selected GCMs from CMIP6 (ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR, and MRI-ESM2-0). The choice of GCMs were based on their performance over northern Europe and their climate sensitivity. The use of a subset of GCMs substantially reduces computational time required for impact assessment, while allowing to quantify uncertainties in impacts related to uncertain future climate. The dataset can be used with impact models in various fields, including, land and water resources, agriculture and food production, ecology and epidemiology, and human health and welfare, when undertaking impact assessment of climate change and decision support for mitigation and adaptation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Transient climate change scenarios |
| URL | https://zenodo.org/doi/10.5281/zenodo.10563867 |
| Title | CMIP6-based transient climate scenarios for impact assessment in the UK. |
| Description | Climate change impact assessments often require a large ensemble of local-scale transient climate scenarios. Each ensemble member represents plausible long weather series at a local scale. The climate projections from Global Climate Models (GCMs) are difficult to use at local scale due to their coarse spatial and temporal resolution. Moreover, very few projections are usually available for each GCM due to a high computational cost. An alternative approach involves employing a stochastic weather generator to produce a large number of transient scenarios based on the climate projections from GCMs. In a current dataset, transient climate scenarios were generated using the LARS-WG weather generator, based on climate projections from GCMs from the CMIP6 ensemble across 26 representative sites throughout the UK. Each transient scenario spans the period from 2020 to 2090. At each site, 100 transient scenarios were generated for two emission scenarios (SSP2-4.5 and SSP5-8.5) and five selected GCMs from CMIP6 (ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR, and MRI-ESM2-0). The choice of GCMs were based on their performance over northern Europe and their climate sensitivity. The use of a subset of GCMs substantially reduces computational time required for impact assessment, while allowing to quantify uncertainties in impacts related to uncertain future climate. The dataset can be used with impact models in various fields, including, land and water resources, agriculture and food production, ecology and epidemiology, and human health and welfare, when undertaking impact assessment of climate change and decision support for mitigation and adaptation. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.10563866 |
| Title | Field features of the North Wyke Farm Platform: weather, topography, soil, ecosystem services provision index and management |
| Description | This dataset comprises both original outputs generated by the authors (i.e. the Ecosystem Services Provision Index estimated from remote sensing and which can be used as a proxy for carbon inputs to the soil) and derived data obtained after processing data from different sources from 1995 to 2022. This dataset refers to yearly-estimated features for the fields included in the North Wyke Farm Platform (NWFP), a farm-scale experimental system established in southwestern England in 2010 (Orr et al., 2016). These features refer to weather conditions, topography, soil characteristics and farming management. Together with ESPI, the variables included in this dataset have been used to predict soil organic carbon at the NWFP (Segura et al., 2023). However, its use does not have to be limited to this sole objective. The Ecosystem Services Provision Index (ESPI) was estimated using remote sensing and the methods described in Segura et al. (2023) for the period 1995 to 2022. However, note that only the period from 2012 to 2021 has been used in the manuscript to coincide with data availability from the Farm Platform. To create this dataset, raw data relating to soil properties and field events from 2012 to 2021 were downloaded from the NWFP Data Portal (https://nwfp.rothamsted.ac.uk/) for data processing. From the field survey data, we downloaded relevant soil chemical properties (0-10 cm depth) - total carbon(referred to as soil organic carbon in the manuscript arising from this data), total nitrogen, available phosphorus (as Olsen phosphorus), available potassium, and pH. For a given variable, measurements were averaged to provide a single value per field, per year. Note that due to some adjustments made to homogenise field names over time, there may be a mismatch for some fields between the Data Portal and this dataset. Field event records, relating to daily farm management activities, were also obtained from the NWFP data portal. In this dataset, these farm field events records were interpreted to construct the variables related to the main farming management practices by year and by field. The data from the NWFP data portal are free to access after registration on the portal. North Wyke Farm Platform and Data Portal user guides are available for more detailed information about soil measurements and field events. In particular, the Design, Establishment and Development of the NWFP (https://doi.org/10.23637/rothamsted.98y1x), the user guide for field survey data https://doi.org/10.23637/rothamsted.98y51), the User Guide to Field Events (https://doi.org/10.23637/rothamsted.98y4z) and the User Guide to Livestock data (https://doi.org/10.23637/rothamsted.98y50). The soil units (which show the predominant soil series in a location, according to the British soil classification) were extracted from the report Soils of North Wyke [Harrod and Hogan, 2008]. Meteorological data (monthly mean temperature and monthly precipitation) were provided by a weather station owned and operated by the UK Meteorological Office at North Wyke. Field terrain attributes (aspect and slope) were determined using Google Earth Engine according to the methods described in Segura et al. (2023), or by using the information provided in https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2005RG000183 and https://developers.google.com/earth-engine/datasets/catalog/USGS_SRTMGL1_003. A full set of variables included in this dataset can be consulted in Columns_units_and_descriptors.csv, which also includes a description of each data column and the units of measurement. The text file main_analyses_figures_code.txt can be used along with the data file to reproduce the main results in Segura et al. (2023). Additional information The North Wyke Farm Platform is a UK National Capability supported by the Biotechnology and Biological Sciences Research Council (BBS/E/C/000J0100). We acknowledge the interests of the Ecological Continuity Trust (ECT), whose national network of LTEs includes the experiment on which this research was conducted. Meteorological data adapted from Crown copyright data supplied by the Met Office. During the embargo period, please contact carmen.segura-quirante@rothamsted.ac.uk if you wish to access the data. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | No impacts yet |
| URL | https://repository.rothamsted.ac.uk/item/98y60/field-features-of-the-north-wyke-farm-platform-weathe... |
| Title | Woburn Erosion Reference Experiment crop yields |
| Description | Digitised yield data for the Woburn Erosion Reference long-term experiment. Margaret Glendining, Richard Ostler John Quinton (Lancaster University), Kevin Coleman |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | No impacts yet |
| URL | https://doi.org/10.23637/wrn20-yield-01 |
| Description | Alan Turing Institute |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work on farm-scale digital twins |
| Collaborator Contribution | Work on farm-scale digital twins |
| Impact | None as yet |
| Start Year | 2022 |
| Description | Cambridge University Sensors Group |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Use of facility and staff. Expertise in farming processes and data. |
| Collaborator Contribution | Sensor development MRES/PHD project using the NWFP NBRI. Livestock-based sensors for monitoring grass species via imagery and AI |
| Impact | Student training. Follow up science projects likely with respect to sensing technologies; including that related to Digital Platform (Digital Twin) work |
| Start Year | 2024 |
| Description | Climate Smart Research |
| Organisation | Wageningen University & Research |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | NWFP NBRI datasets |
| Collaborator Contribution | Wageningen / Leeds led consortium for HE project |
| Impact | None as yet |
| Start Year | 2024 |
| Description | GWmodel work |
| Organisation | Wuhan University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Model development |
| Collaborator Contribution | Model development & software |
| Impact | GWmodel R package; GWmodelS software |
| Start Year | 2024 |
| Description | Hestia, Oxford |
| Organisation | University of Oxford |
| Department | Oxford Martin School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of NWFP datasets for Hestia open data & open model project |
| Collaborator Contribution | Use and promotion of NWFP data via Hestia online portal for LCA |
| Impact | None as yet |
| Start Year | 2023 |
| Description | Juelich University |
| Organisation | Julich Research Centre |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Digital Twin initiatives |
| Collaborator Contribution | Digital Twin initiatives |
| Impact | Digital Twin initiatives |
| Start Year | 2024 |
| Description | Lancaster University / Lancaster CEH |
| Organisation | Lancaster University |
| Department | Lancaster Environment Centre |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Digital twin initiatives |
| Collaborator Contribution | Digital twin initiatives |
| Impact | Digital twin initiatives |
| Start Year | 2018 |
| Description | Microsoft Cambridge Labs |
| Organisation | Microsoft Research |
| Department | Microsoft Research Cambridge |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Expertise in farm-scale processes; NWFP NBRI data |
| Collaborator Contribution | Sensor technologies; AI expertise; Cloud computing |
| Impact | Projects in prep. |
| Start Year | 2024 |
| Description | Nitrogen Innovation Centre for Clean Energy and Environment |
| Organisation | University of Guelph |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Analysis of impacts of green ammonia uptake |
| Collaborator Contribution | Analysis of impacts of green ammonia uptake |
| Impact | Improved understanding of impacts of green ammonia uptake |
| Start Year | 2023 |
| Description | Nitrogen Innovation Centre for Clean Energy and Environment |
| Organisation | University of Maryland |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analysis of impacts of green ammonia uptake |
| Collaborator Contribution | Analysis of impacts of green ammonia uptake |
| Impact | Improved understanding of impacts of green ammonia uptake |
| Start Year | 2023 |
| Description | PhD Studentship - Annalisa Lanza - Agroecosystems in a Climate Crisis: Using Big Data to understand the Out of the Ordinary |
| Organisation | Bangor University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Lead Supervisor for PhD |
| Collaborator Contribution | Lead Supervisor for PhD |
| Impact | None yet - just started |
| Start Year | 2023 |
| Description | Remote Sensing Soil Moisture Variability for enhanced weed management |
| Organisation | University of Messina |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | collaboration to develop remote sensing methodologies to guide precision herbicide application using PBMs |
| Collaborator Contribution | collaboration to develop remote sensing methodologies to guide precision herbicide application using PBMs |
| Impact | Developing methodologies |
| Start Year | 2024 |
| Description | Remote Sensing Soil Moisture Variability for enhanced weed management |
| Organisation | University of Reggio Calabria |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | collaboration to develop remote sensing methodologies to guide precision herbicide application using PBMs |
| Collaborator Contribution | collaboration to develop remote sensing methodologies to guide precision herbicide application using PBMs |
| Impact | Developing methodologies |
| Start Year | 2024 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | ADAS |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | Agricultural Industries Confederation |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | Environment Agency |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | James Hutton Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | Resilient Farming Futures Advisory Group |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of advice, development of scenarios and pathways for resilient farming futures |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | SOAP |
| Organisation | University of Southern Queensland |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Collaboration to produce digital twin with remote sensing data assimilation |
| Collaborator Contribution | Collaboration to produce digital twin with remote sensing data assimilation |
| Impact | Reciprocal visits and training workshops |
| Start Year | 2024 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Aberystwyth University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Agri-Food and Biosciences Institute |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Bangor University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Cranfield University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Forest Research |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | James Hutton Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | National Trust |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Natural England |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Queen's University Belfast |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | RSK ADAS Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Royal Agricultural University (RAU) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Scotland's Rural College |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Sustainable Soils Alliance |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | UK Centre for Ecology & Hydrology |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | Ulster University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Aberdeen |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of East Anglia |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Gloucestershire |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Greenwich |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Leicester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of Reading |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | UKRI/Defra LUNZ Hub |
| Organisation | University of the West of England |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of scenarios and pathways for agricultural net zero |
| Collaborator Contribution | Provision of expertise for net zero |
| Impact | Improved pathways for agricultural net zero |
| Start Year | 2023 |
| Description | University of Southern Queensland |
| Organisation | University of Southern Queensland |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Modelling (APSIM) and remote sensing research |
| Collaborator Contribution | Modelling (APSIM) and remote sensing research |
| Impact | None as yet |
| Start Year | 2023 |
| Description | University of Southern Queensland |
| Organisation | University of Southern Queensland |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Modelling (APSIM) and remote sensing research |
| Collaborator Contribution | Modelling (APSIM) and remote sensing research |
| Impact | None as yet |
| Start Year | 2023 |
| Description | Visualisation of livestock movement |
| Organisation | University of St Andrews |
| Department | School of Geography & Geosciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Farm-scale processes; NWFP NBRI data; student training |
| Collaborator Contribution | Expertise in animal movement and visualisation |
| Impact | On-going |
| Start Year | 2024 |
| Description | Wuhan University |
| Organisation | Wuhan University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | GWmodel initiatives |
| Collaborator Contribution | GWmodel initiatives |
| Impact | GWmodel initiatives |
| Start Year | 2014 |
| Title | GWmodel |
| Description | Spatial Varying Parameter Models |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | Over 200k downloads |
| URL | https://cran.r-project.org/package=GWmodel |
| Title | GWmodelS |
| Description | Front end for GWmodel R package |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | Many downloads |
| Title | Python version of RothC Official Rothamsted Research Release |
| Description | The Rothamsted carbon model Python version (RothC_Py) Purpose RothC models the turnover of organic carbon in non-waterlogged top-soil. It accounts for the effects of soil texture, temperature, moisture content and plant cover on the turnover process. It uses a monthly time step to calculate total organic carbon (t ha-1), microbial biomass carbon (t ha-1) and ?14C (from which the equivalent radiocarbon age of the soil can be calculated). Development history The first version of RothC created by David Jenkinson and James Rayner in 1977 (Jenkinson and Rayner, 1977). In 1987 an updated version was published, see Jenkinson et al. (1987). This version included the prediction of the radiocarbon age of the soil, the pools POM (physically stabilized organic matter) and COM (chemically stabilized organic matter) were replaced with Hum (humified organic matter) and IOM (inert organic matter), and the microbial biomass pool was split into BioA (autochthonous biomass) and BioZ (zymogenous biomass). In 1990, the two biomass pools were combined into a single pool (Jenkinson, 1990) this version is the standard version of the model, that this code refers to. Other published developments of the model include: Farina et al. (2013) modified the soil water dynamics for semi-arid regions. Giongo et al. (2020) created a daily version and modified the soil water dynamics, for Caatinga shrublands, in the semiarid region, North-East Brazil. Description of files included RothC_description.pdf This file contains the description of the model. RothC_Py.py This file contains the RothC code in Python language. Details of the inputs required, pools modelled, and units are in the code. RothC_input.dat This file contains input variables for the model. At the start of the file values for clay (%), soil depth (cm), inert organic matter (IOM, t C ha-1) and number of steps (nsteps) are recorded.Following that there is a table which records monthly data on year, month, percentage of modern carbon (%), mean air temperature (Tmp, °C), total monthly rainfall (Rain, mm), total monthly open-pan evaporation (Evap, mm), all carbon input entering the soil (from plants, roots, root exudates) (C_inp, t C ha-1), carbon input from farmyard manure (FYM, t C ha-1), plant cover (PC, 0 for no plants e.g. bare or post-harvest, 1 for plants e.g. crop or grass), and the DPM/RPM ratio (DPM_RPM) of the carbon inputs from plants. year_results.csv This file contains the yearly values of the SOC (both the pools and Total) and the delta 14-carbon. The pools are:YearMonth - Always December for the yearly outputDPM - Decomposable plant material (t C ha-1)RPM - Resistant plant material (t C ha-1)BIO - Microbial biomass (t C ha-1)HUM - Humified organic matter (t C ha-1)IOM - Inert organic matter (t C ha-1)SOC - Total soil organic carbon (t C ha-1)deltaC - delta 14C (‰) The total organic carbon (soil organic carbon) is equal to the sum of the 5 pools. TOC or SOC = DRM + RPM + BIO + HUM + IOM month_results.csv This file contains the monthly inputs, rate modifying factors, SOC pools. YearMonthDPM_t_C_ha - Decomposable plant material (t C ha-1)RPM_t_C_ha - Resistant plant material (t C ha-1)BIO_t_C_ha - Microbial biomass (t C ha-1)HUM_t_C_ha - Humified organic matter (t C ha-1)IOM_t_C_ha - Inert organic matter (t C ha-1)SOC_t_C_ha - Total soil organic carbon (t C ha-1) Requirements The code was written in Python 3.9.7. Installation/set-up A directory path will need to be provided as indicated in the code (["INPUT DIRECTORY PATH"]), to read in RothC_input.dat. Example of how to run the modelThe file RothC_input.dat contains all the inputs data needed to run the model. The month results (month_results.csv) and year results (year_results.csv) files correspond to this input file as an example. The model is normally run to equilibrium using average temperature, rainfall, open pan evaporation, an average carbon input to the soil, the equilibrium run is to initialise the soil carbon pools. Once the soil carbon pools have been initialised, the model is run for the period of interest. The met data (temperature, rainfall and evaporation) can be average or actual weather data. The carbon input to the soil can be: 1) adjusted so the modelled output matches the measured data, or 2) can be estimated from yield data (Bolinder et al., 2007), or NPP data. References Bolinder MA, Janzen HH, Gregorich EG, Angers DA, VandenBygaart AJ. An approach for estimating net primary productivity and annual carbon inputs to soil for common agricultural crops in Canada. Agriculture, Ecosystems & Environment 2007; 118: 29-42.Farina R, Coleman K, Whitmore AP. Modification of the RothC model for simulations of soil organic C dynamics in dryland regions. Geoderma 2013; 200: 18-30.Giongo V, Coleman K, Santana MD, Salviano AM, Olszveski N, Silva DJ, et al. Optimizing multifunctional agroecosystems in irrigated dryland agriculture to restore soil carbon - Experiments and modelling. Science of the Total Environment 2020; 725.Jenkinson DS. The Turnover of Organic-Carbon and Nitrogen in Soil. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 1990; 329: 361-368.Jenkinson DS, Hart PBS, Rayner JH, Parry LC. Modelling the turnover of organic matter in long-term experiments at Rothamsted. INTECOL Bulletin 1987; 15: 1-8.Jenkinson DS, Rayner JH. Turnover of soil organic matter in some of the Rothamsted classical experiments. Soil Science 1977; 123: 298-305. |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | no impacts yet |
| URL | https://zenodo.org/doi/10.5281/zenodo.10732265 |
| Title | RothC Official Rothamsted Research Release |
| Description | The Rothamsted carbon model (RothC) Purpose Roth C models the turnover of organic carbon in non-waterlogged top-soil. It accounts for the effects of soil texture, temperature, moisture content and plant cover on the turnover process. It uses a monthly time step to calculate total organic carbon (t ha -1), microbial biomass carbon (t ha -1) and ?14C (from which the equivalent radiocarbon age of the soil can be calculated). Development history The first version of RothC created by David Jenkinson and James Rayner in 1977 (Jenkinson and Rayner, 1977). In 1987 an updated version was published, see Jenkinson et al. (1987). This version included the prediction of the radiocarbon age of the soil, the pools POM (physically stabilized organic matter) and COM (chemically stabilized organic matter) were replaced with Hum (humified organic matter) and IOM (inert organic matter), and the microbial biomass pool was split into BioA (autochthonous biomass) and BioZ (zymogenous biomass). In 1990, the two biomass pools were combined into a single pool (Jenkinson, 1990) this version is the standard version of the model, that this code refers to. Other published developments of the model include: Farina et al. (2013) modified the soil water dynamics for semi-arid regions. Giongo et al. (2020) created a daily version and modified the soil water dynamics, for Caatinga shrublands, in the semiarid region, North-East Brazil. Description of files included RothC_description.docx This file contains the description of the model. RothC.for This file contains the RothC code, it can be used as a standalone subroutine or used with shell.for to create an exe file. Details of the inputs required, pools modelled, and units are in the code. Shell.for This file is intended as an example of how to: 1) read in the input data 2) call the subroutine 3) created monthly and yearly outputs The file can be used to create a standalone exe, or you can replace it with your own code to call and run RothC. Details of the inputs required, pools modelled, and units are in the code. RothC_input.dat This file contains input variables for the model. At the start of the file values for clay (%), soil depth (cm), inert organic matter (IOM, t C ha-1) and number of steps (nsteps) are recorded. Following that there is a table which records monthly data on year, month, percentage of modern carbon (%), mean air temperature (Tmp, °C), total monthly rainfall (Rain, mm), total monthly open-pan evaporation (Evap, mm), all carbon input entering the soil (from plants, roots, root exudates) (C_inp, t C ha-1), carbon input from farmyard manure (FYM, t C ha-1), plant cover (PC, 0 for no plants e.g. bare or post-harvest, 1 for plants e.g. crop or grass), and the DPM/RPM ratio (DPM_RPM) of the carbon inputs from plants. year_results.out This file contains the yearly values of the SOC (both the pools and Total) and the delta 14-carbon. The pools are: Year Month - Always December for the yearly output DPM - Decomposable plant material (t C ha-1) RPM - Resistant plant material (t C ha-1) BIO - Microbial biomass (t C ha-1) HUM - Humified organic matter (t C ha-1) IOM - Inert organic matter (t C ha-1) SOC - Total soil organic carbon (t C ha-1) deltaC - delta 14C (‰) The total organic carbon (soil organic carbon) is equal to the sum of the 5 pools. TOC or SOC = DRM + RPM + BIO + HUM + IOM month_results.out This file contains the monthly inputs, rate modifying factors, SOC pools. Year Month C_Inp_t_C_ha - C input (t C ha-1) FYM_Inp_t_C_ha - Farmyard manure (t C ha-1) TEMP_C - Air temperature (C) RM_TMP - Rate modifying factor for temperature (-) RAIN_mm - Rainfall (mm) PEVAP_mm - Open pan evaporation (mm) SWC_mm - Accumulated soil water deficit (mm) RM_Moist - Rate modifying factor for soil moisture (-) PC - Soil plant cover (0 bare or 1 covered) RM_PC - rate modifying factor for crop cover DPM_t_C_ha - Decomposable plant material (t C ha-1) RPM_t_C_ha - Resistant plant material (t C ha-1) BIO_t_C_ha - Microbial biomass (t C ha-1) HUM_t_C_ha - Humified organic matter (t C ha-1) IOM_t_C_ha - Inert organic matter (t C ha-1) SOC_t_C_ha - Total soil organic carbon (t C ha-1) Requirements The code does not require any particular of version of Fortran, so can be compiled in both windows and Linux. Installation/set-up A Fortran compiler is needed. The code can be used in the following ways: 1. The two Fortran files (RothC.for and Shell.for) can either be compiled and linked to create a standalone exe, which uses the input file (RothC_input.dat), when run, monthly (month_results.out) and yearly (year_results.out) output files are created. 2. The file (shell.for) can be modified to read in required data in the format you have, your modified code can be compiled and linked to RothC.for. 3. The file (RothC.for) can be called by your exiting code as a subroutine. Example of how to run the model The file RothC_input.dat contains all the inputs data needed to run the model. The month results (month_results.out) and year results (year_results.out) files correspond to this input file as an example. The model is normally run to equilibrium using average temperature, rainfall, open pan evaporation, an average carbon input to the soil, the equilibrium run is to initialise the soil carbon pools. Once the soil carbon pools have been initialised, the model is run for the period of interest. The met data (temperature, rainfall and evaporation) can be average or actual weather data. The carbon input to the soil can be: 1) adjusted so the modelled output matches the measured data, or 2) can be estimated from yield data (Bolinder et al., 2007), or NPP data. References Bolinder MA, Janzen HH, Gregorich EG, Angers DA, VandenBygaart AJ. An approach for estimating net primary productivity and annual carbon inputs to soil for common agricultural crops in Canada. Agriculture, Ecosystems & Environment 2007; 118: 29-42. Farina R, Coleman K, Whitmore AP. Modification of the RothC model for simulations of soil organic C dynamics in dryland regions. Geoderma 2013; 200: 18-30. Giongo V, Coleman K, Santana MD, Salviano AM, Olszveski N, Silva DJ, et al. Optimizing multifunctional agroecosystems in irrigated dryland agriculture to restore soil carbon - Experiments and modelling. Science of the Total Environment 2020; 725. Jenkinson DS. The Turnover of Organic-Carbon and Nitrogen in Soil. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 1990; 329: 361-368. Jenkinson DS, Hart PBS, Rayner JH, Parry LC. Modelling the turnover of organic matter in long-term experiments at Rothamsted. INTECOL Bulletin 1987; 15: 1-8. Jenkinson DS, Rayner JH. Turnover of soil organic matter in some of the Rothamsted classical experiments. Soil Science 1977; 123: 298-305. |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | No impacts yet |
| URL | https://zenodo.org/doi/10.5281/zenodo.10707407 |
| Title | S2 Growth rate estimator |
| Description | Developing a Google Earth Engine app that allows end users to get growth rate estimations from 2017 to the present. This based on Sentienl 2 remote sensing data, where the spatial resolution for each estimation is 100 m2. |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Impact | no impacts yet |
| URL | https://irisarri.users.earthengine.app/view/s2gre |
| Title | Space-time varying parameter models using GAMs |
| Description | R package |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | Many downloads |
| URL | https://cran.r-project.org/package=stgam |
| Description | APSIM training workshop at Rothamsted - led by Australian delegation |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Training workshop in APSIM process-based model over 2/3 days (including participants from Leeds University and ADAS) |
| Year(s) Of Engagement Activity | 2023 |
| Description | Adrian Collins - Environmental Farmers Group (EFG) - 21.02.24 - Farmers Event visit to NW site |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Farm cluster group visit to North Wyke campus and farm for Resilient Farming Futures ISP engagement |
| Year(s) Of Engagement Activity | 2024 |
| Description | Advisory Group Meeting - Resilient Farming Futures - 31.01.24 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | RFF Advisory Group - 31.01.2024 (Cambridge University, Met Office, Defra, Environment Agency, Southampton University, James Hutton Institute, ADAS, Agricultural Industries Confederation (AIC), The Global Panel on Agriculture and Food Systems for Nutrition |
| Year(s) Of Engagement Activity | 2024 |
| Description | Advisory Group Meeting - Resilient Farming Futures - 19.07.23 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | RFF Advisory Group & Co-Development Partnership - 19.07.23 (Cambridge University, Met Office, Defra, Environment Agency, Southampton University, James Hutton Institute, ADAS, Agricultural Industries Confederation (AIC), The Global Panel on Agriculture and Food Systems for Nutrition |
| Year(s) Of Engagement Activity | 2023 |
| Description | Advisory Group Newsletter update- July 24 |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Newsletter update provided to the Resilient Farming Futures Advisory Board to detail progress, new challenges and ask for advice on areas such as experimental design and data resources |
| Year(s) Of Engagement Activity | 2024 |
| Description | Ag Digital Twins - Telecommunications company (Japan) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Informal meeting |
| Year(s) Of Engagement Activity | 2023 |
| Description | Atmospheric Emissions Science Day 12.11.2024 - LC/AC/PH/MB |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Institute campus science day with emissions related science presentations and site visits. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Attending 'Evidence Week' at Westminster 20.01.2025 - 22.01.2025 - AC/HRU/SG |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Sense about Science seventh annual Evidence Week in Parliament |
| Year(s) Of Engagement Activity | 2025 |
| Description | BBC Countryfile Livestock & Water - 14.05.2024 - AC |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Media interview for national television programme |
| Year(s) Of Engagement Activity | 2024 |
| Description | CREDIBLE EU Project Focus Group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Participation in an invited Focus group for the EU CREDIBLE Soil Carbon Farming Project, to provide expertise on long-term monitoring data. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Climate Change Committee Advisory Group Joint Session - Resilience of Farmed Landscapes 16.01.2025 - AC |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Advisory board providing general commentary and advice to the Climate Change Committee |
| Year(s) Of Engagement Activity | 2024 |
| Description | Climate Change Committee Advisory Group Joint Session - 18.07.2024 - AC |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Advisory board providing general commentary and advice to the Climate Change Committee |
| Year(s) Of Engagement Activity | 2024 |
| Description | Climate Change Committee Meeting - Resilience of Farmed Landscapes 24.01.2025 - AC |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Advisory board providing general commentary and advice to the Climate Change Committee |
| Year(s) Of Engagement Activity | 2025 |
| Description | Climate Smart Research consortium Meeting 16.09.2024 - PH |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A meeting of the Climate Smart Research consortium |
| Year(s) Of Engagement Activity | 2024 |
| Description | Devon Cornwall and Isles of Scilly Climate Impacts Group |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Discussion of user case for the Climate Impacts Group using the RFF WP3 work |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins and AI in Agriculture - Alan Turing Institute |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Digital Twins and AI in Agriculture - with a livestock focus |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins and AI in Agriculture - UCL |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop on future collaborations |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins at Rothamsted. Agroecology Europe Forum 2023 - Converging Movements for Resilient Farming Systems, Hungary |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Harris P (2023) Digital Twins at Rothamsted. Agroecology Europe Forum 2023 - Converging Movements for Resilient Farming Systems, Hungary. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins in Agriculture - CSIRO, Australia |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Small group meeting with CSIRO Deputy Director |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins in Agriculture - Colorado State University visit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Digital Twins in Agriculture - presentation to delegation |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins in Agriculture - New Zealand Government Group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation of work at Rothamsted to delegation from New Zealand |
| Year(s) Of Engagement Activity | 2023 |
| Description | Digital Twins in Agriculture - Royal Agriculture University 2024 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Discussion on co-development of digital twin grants |
| Year(s) Of Engagement Activity | 2024 |
| Description | EFG Board Meeting - Fordingbridge - AC - 10.10.2024 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Environmental Farmers Group network event |
| Year(s) Of Engagement Activity | 2024 |
| Description | EFG Farm Cluster group - evening meeting - 23.09.24 - AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Environmental Farmers Group network event |
| Year(s) Of Engagement Activity | 2024 |
| Description | EFG Farmers Meeting - Hunt Forest Piddlehinton 15.03.2024 - AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Environmental Farmers Group network event |
| Year(s) Of Engagement Activity | 2024 |
| Description | EFG Farmers Meeting - Warminster 03.09.2024 AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Environmental Farmers Group network event |
| Year(s) Of Engagement Activity | 2024 |
| Description | EFG Farmers Meeting -Berwick St John - 20.12.2024 AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Environmental Farmers Group network event |
| Year(s) Of Engagement Activity | 2024 |
| Description | EFG Farmers Meeting -Warminster - 03.10.2024 AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Environmental Farmers Group network event |
| Year(s) Of Engagement Activity | 2024 |
| Description | Environment Agency central science team |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Discussion of linking RFF outputs with national Environment Agency science |
| Year(s) Of Engagement Activity | 2023 |
| Description | Evidence week - Westminster - "Intelligent Farming" 2023 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Stall & Presentations to MPs |
| Year(s) Of Engagement Activity | 2023 |
| Description | GGR Demonstrator Site Visit - 19.11.2024 - AC/RD |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Greenhouse Gas Recovery Network research site visit to North Wyke campus and research farm |
| Year(s) Of Engagement Activity | 2024 |
| Description | Geospatial Digital Twins in Agriculture with Slovenia |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Links to Digital Twin with Slovenian group |
| Year(s) Of Engagement Activity | 2024 |
| Description | IUGG Berlin 2023 Conference |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | IUGG Conference Berlin representation of RFF by Simon Pulley - 12.07.23 |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://www.iugg2023berlin.org/ |
| Description | Joint workshop with Hestia and RRes |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Data sharing exercise. Work on shared ontologies. LCA work. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.hestia.earth/ |
| Description | LUNZ Hub Workshop Manchester - 9-10.04.2024 - AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Networking with members with the Land Use for Net Zero, Nature and People (LUNZ) Hub an innovative research initiative to help drive the transformation of UK land use |
| Year(s) Of Engagement Activity | 2024 |
| Description | LUNZ Hub launch and working group initiation |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Initiation of delivery sprints for work on pathway for agricultural net zero |
| Year(s) Of Engagement Activity | 2024 |
| Description | Long Term Experiment Conference 2023 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Mud, mud, glorious mud - impacts of modern farming and extreme weather on soil loss revealed ADIE COLLINS - Long Term Experiments: Meeting future challenges - 20th-22nd June 2023 |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://farmpep.net/sites/default/files/2023-04/AAB%20Conference%20Hybrid%20-%20programme.pdf |
| Description | NERC Environmental Modelling Community Workshop, London 2024 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Expert advice on climate modelling to NERC |
| Year(s) Of Engagement Activity | 2024 |
| Description | Pasture for Life Farmer Network Workshop - 18.10.2024 - SE/MW |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop for all farmers either already practicing, or interested in moving towards, a lower-input pasture-fed livestock farming system |
| Year(s) Of Engagement Activity | 2024 |
| Description | Policy engagement event in West Minister 22.01.2025 - AC/HRU/SG |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Sense about Science seventh annual Evidence Week in Parliament |
| Year(s) Of Engagement Activity | 2025 |
| Description | Rootstock Conference 2024 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop & conference representation of RFF by Adie Collins - 14.02.24 |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://rootstock.ag/ |
| Description | Rootstock Farming Conference 14.02.24 A Collins |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Attendance at one day conference for farmers in the South West to discuss forward-looking, profitable, sustainable farming in tune with natural processes |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://rootstock.ag/ |
| Description | Rothamsted PhD Symposium 05.03.2024-06.03.2024 - A Collins |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Presentation on RFF ISP to student cohort affiliated with Rothamsted Research |
| Year(s) Of Engagement Activity | 2024 |
| Description | SOAP Australia Trip - 31.10.24-15.11.2024 - PH & GI |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Sensing Oats with APsim (SOAP) project and visit to researcher in Australia dharing knowledge on the RFF ISP and remote sensing |
| Year(s) Of Engagement Activity | 2024 |
| Description | Southern Streams Meeting Marlborough 26.03.2024 - AC |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | Southern Streams is a farming cluster group committed to enriching the landscape and biodiversity in our environment, whilst enhancing water quality in the rivers, streams, lakes and ponds |
| Year(s) Of Engagement Activity | 2024 |
| Description | Trans4num General Assembly - 24.- 25.06.2024 - SW/SE/RD/KT/ZOU/MW |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | International consortium of partners from across Europe & China were hosted by Rothamsted as part of the EU Trans4num project and were part of a knowledge exchange piece on Resilient Farming Futures |
| Year(s) Of Engagement Activity | 2024 |
| Description | UK Climate Change Committee Farming Advisory Group meeting - 11.03.24 - A Collins |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Active member of the UK CCC Advisory board |
| Year(s) Of Engagement Activity | 2024 |
| Description | United Utilities meeting |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Discussion of management scenarios for reducing nutrient pollution of water |
| Year(s) Of Engagement Activity | 2023 |
| Description | University of Exeter & Rothamsted joint collaboration workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop sharing Resilient Farming Futures and developing collaborative opportunities - 12.06.2023 |
| Year(s) Of Engagement Activity | 2023 |
| Description | University of Exeter Environmental Intelligence visit 16.09.2024 - PH |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Visit to North Wyke campus from University of Exeter Environmental Intelligence group (students & staff) |
| Year(s) Of Engagement Activity | 2024 |
| Description | University of Plymouth & Rothamsted joint collaboration workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop sharing Resilient Farming Futures and developing collaborative opportunities - 08.11.2023 |
| Year(s) Of Engagement Activity | 2023 |
| Description | University of Plymouth Campus visit 11.12.2024 - PH |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | University of Plymouth visit to North Wyke - NWFP & RFF Experiments |
| Year(s) Of Engagement Activity | 2024 |
| Description | University of the West of Scotland ALMADA Lab - Drones for biodiversity |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | University of the West of Scotland ALMADA Lab Drones for biodiversity |
| Year(s) Of Engagement Activity | 2024 |
| Description | Visit to University of Lincoln |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Innovations in AI and robotics for agriculture. Collaborations on grant proposals between RRes and UoL |
| Year(s) Of Engagement Activity | 2024 |