The interplay of land-use, climate and plant biodiversity on the UK stage
Lead Research Organisation:
University of Glasgow
Department Name: College of Medical, Veterinary, Life Sci
Abstract
Landscapes are composed of different habitats as well as the biodiversity that resides within them, and are a product of interactions between climate, geography and human use. They provide many ecosystem services, such as provision of food and water, regulation of climate and carbon cycling, which are vital for a stable future for our society, economy, health and wellbeing.
It is now widely recognised that we are degrading the health of our landscapes through unsustainable use and long-term climate change, although it remains difficult to track these changes. In particular, plants form the basis of all terrestrial ecosystems, are fundamental to providing ecosystem services, absorb 20% of fossil fuel emissions; yet records on a third of plant species are so data deficient that formal assessments of extinction risk cannot be made. A key goal of the Aichi biodiversity targets set out by the Convention on Biological Diversity, sought to ensure the conservation of biodiversity through sustainable use of agriculture, forestry and fisheries and for which the UK is progressing at an insufficient rate to meet the 2020 deadline. Therefore, tools by which we assess current trends in plant biodiversity and explore the interaction with both environmental and land use are fundamental for ensuring the future of UK's plant systems. Current models of biodiversity use very coarse groupings of plants that lack the necessary level of detail to inform conservation planning and decision making.
Here, we propose to extend a modelling framework that we have been developing over several years at a global scale to focus exclusively on plants of the UK, of which there are over 1,800 species, in order to take advantage of the higher resolution and qualitatively more detailed records available for climate, land use and plant species. These simulations will predict potential change in plant biodiversity patterns over time based on different land use and climate change scenarios, which can then be used to understand the impact of these changes and ultimately guide future landscape decision making.
It is now widely recognised that we are degrading the health of our landscapes through unsustainable use and long-term climate change, although it remains difficult to track these changes. In particular, plants form the basis of all terrestrial ecosystems, are fundamental to providing ecosystem services, absorb 20% of fossil fuel emissions; yet records on a third of plant species are so data deficient that formal assessments of extinction risk cannot be made. A key goal of the Aichi biodiversity targets set out by the Convention on Biological Diversity, sought to ensure the conservation of biodiversity through sustainable use of agriculture, forestry and fisheries and for which the UK is progressing at an insufficient rate to meet the 2020 deadline. Therefore, tools by which we assess current trends in plant biodiversity and explore the interaction with both environmental and land use are fundamental for ensuring the future of UK's plant systems. Current models of biodiversity use very coarse groupings of plants that lack the necessary level of detail to inform conservation planning and decision making.
Here, we propose to extend a modelling framework that we have been developing over several years at a global scale to focus exclusively on plants of the UK, of which there are over 1,800 species, in order to take advantage of the higher resolution and qualitatively more detailed records available for climate, land use and plant species. These simulations will predict potential change in plant biodiversity patterns over time based on different land use and climate change scenarios, which can then be used to understand the impact of these changes and ultimately guide future landscape decision making.
Planned Impact
The development of the first species-level plant biodiversity simulator for the UK will provide an urgently needed tool for assessing the biodiversity impact of landscape decisions. As such, it will be of particular importance to conservationists and policy makers, such as the Scottish Government and its bodies (e.g. Scottish Natural Heritage). Critically, the simulator will allow the user to compare and contrast different land-use change decisions and use them to evaluate their respective impacts on regional biodiversity. We will also be able to assess the ability of plant species to adapt to different climate change scenarios in the presence and absence of mitigating land use policy. In this way, the simulator draws together the two major strands of human-influenced environmental change, climate change and land-use decisions, and seeks to improve our understanding of the impact of these factors on the natural environment.
The broad implications of this research in terms of our understanding of the effect of policy decisions means that the results of this work will also be significant interest to the general public. Outreach activities through the Natural History Museum will promote engagement with people of all ages and backgrounds, and seek to inspire them to engage further with the impact of government decisions.
The broad implications of this research in terms of our understanding of the effect of policy decisions means that the results of this work will also be significant interest to the general public. Outreach activities through the Natural History Museum will promote engagement with people of all ages and backgrounds, and seek to inspire them to engage further with the impact of government decisions.
Publications
Brass DP
(2021)
Phenotypic plasticity as a cause and consequence of population dynamics.
in Ecology letters
Harris C
(2022)
Strong phylogenetic signals in global plant bioclimatic envelopes
in Global Ecology and Biogeography
McMonagle C
(2022)
Trends in the diversity of mortality causes and age-standardised mortality rates among subpopulations within Scotland, 2001-2019.
in SSM - population health
Mitchell SN
(2022)
FAIR data pipeline: provenance-driven data management for traceable scientific workflows.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Sarker S
(2021)
Solving the fourth-corner problem: forecasting ecosystem primary production from spatial multispecies trait-based models
in Ecological Monographs
Shadbolt N
(2022)
The challenges of data in future pandemics.
in Epidemics
Description | A plant biodiversity simulator for the UK has been developed which will help understand how UK plant biodiversity will be impacted by climate change and landscape decisions. This is being taken forward in NE/T010355/1. |
Exploitation Route | The simulation environment is publicly available for use by other researchers, and the first manuscript is under revision and the second is under review describing the work. This is being further developed in NE/T010355/1, which will result in an improved simulation model. |
Sectors | Environment |
URL | https://github.com/EcoJulia/EcoSISTEM.jl |
Description | This grant has led to a new collaboration (detailed elsewhere) with Peatland ACTION, part of Scottish Natural Heritage, to help target their peatland restoration work. |
First Year Of Impact | 2020 |
Sector | Environment |
Impact Types | Policy & public services |
Description | Integrating a biodiversity digital twin with a FAIR data pipeline for reproducible science |
Amount | £39,970 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 07/2023 |
Description | Simulating UK plant biodiversity under climate change to aid landscape decision making |
Amount | £294,506 (GBP) |
Funding ID | NE/T010355/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 02/2020 |
End | 02/2022 |
Description | Diversity |
Organisation | Natural History Museum |
Department | Lepidoptera Collection |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | We have provided an understanding of the links between the fundamental mathematics studied by the mathematicians with whom we collaborate and the applied biodiversity problems that the ecologists we work with wish to understand. |
Collaborator Contribution | Tom Leinster at the University of Edinburgh has been providing mathematical expertise to understand the fundamental properties of diversity measures. Jill Thompson at CEH and Neil Brummitt at NHM have been providing practical assistance in understanding the underlying biodiversity that we are studying. Michael Krabbe Borregaard at NHMD has been working on development of Julia code to help with analyses. |
Impact | How to partition diversity (arXiv paper) multidisciplinary - maths, ecology, biodiversity BB/P004202/1 Mathematical Theory and Biological Applications of Diversity (further funding) multidisciplinary - maths, ecology, biodiversity, evolutionary biology |
Start Year | 2012 |
Description | Diversity |
Organisation | UK Centre for Ecology & Hydrology |
Country | United Kingdom |
Sector | Public |
PI Contribution | We have provided an understanding of the links between the fundamental mathematics studied by the mathematicians with whom we collaborate and the applied biodiversity problems that the ecologists we work with wish to understand. |
Collaborator Contribution | Tom Leinster at the University of Edinburgh has been providing mathematical expertise to understand the fundamental properties of diversity measures. Jill Thompson at CEH and Neil Brummitt at NHM have been providing practical assistance in understanding the underlying biodiversity that we are studying. Michael Krabbe Borregaard at NHMD has been working on development of Julia code to help with analyses. |
Impact | How to partition diversity (arXiv paper) multidisciplinary - maths, ecology, biodiversity BB/P004202/1 Mathematical Theory and Biological Applications of Diversity (further funding) multidisciplinary - maths, ecology, biodiversity, evolutionary biology |
Start Year | 2012 |
Description | Diversity |
Organisation | University of Copenhagen |
Department | Natural History Museum of Denmark |
Country | Denmark |
Sector | Public |
PI Contribution | We have provided an understanding of the links between the fundamental mathematics studied by the mathematicians with whom we collaborate and the applied biodiversity problems that the ecologists we work with wish to understand. |
Collaborator Contribution | Tom Leinster at the University of Edinburgh has been providing mathematical expertise to understand the fundamental properties of diversity measures. Jill Thompson at CEH and Neil Brummitt at NHM have been providing practical assistance in understanding the underlying biodiversity that we are studying. Michael Krabbe Borregaard at NHMD has been working on development of Julia code to help with analyses. |
Impact | How to partition diversity (arXiv paper) multidisciplinary - maths, ecology, biodiversity BB/P004202/1 Mathematical Theory and Biological Applications of Diversity (further funding) multidisciplinary - maths, ecology, biodiversity, evolutionary biology |
Start Year | 2012 |
Description | Diversity |
Organisation | University of Edinburgh |
Department | Centre for Integrative Physiology |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We have provided an understanding of the links between the fundamental mathematics studied by the mathematicians with whom we collaborate and the applied biodiversity problems that the ecologists we work with wish to understand. |
Collaborator Contribution | Tom Leinster at the University of Edinburgh has been providing mathematical expertise to understand the fundamental properties of diversity measures. Jill Thompson at CEH and Neil Brummitt at NHM have been providing practical assistance in understanding the underlying biodiversity that we are studying. Michael Krabbe Borregaard at NHMD has been working on development of Julia code to help with analyses. |
Impact | How to partition diversity (arXiv paper) multidisciplinary - maths, ecology, biodiversity BB/P004202/1 Mathematical Theory and Biological Applications of Diversity (further funding) multidisciplinary - maths, ecology, biodiversity, evolutionary biology |
Start Year | 2012 |
Description | Dr Anna Harper, JULES |
Organisation | University of Exeter |
Department | Climate Change and Sustainable Futures |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We will develop our simulations to make comparisons with the Joint UK Land Environment Simulator (JULES), the land component of the Met Office UK Earth Systems Model (UKESM1). This involves the comparison of specific UK species to the Plant Functional Types (PFTs) simulated in JULES. |
Collaborator Contribution | Dr Anna Harper, one of the developers of JULES and an expert in vegetation-climate modelling, has provided guidance on the simulation of plant functional types and the development of the model system. In the future, Anna will provide outputs from JULES runs at a finer UK scale to facilitate comparisons with the plant biodiversity simulator. |
Impact | This collaboration is multidisciplinary, involving botany, ecology, biodiversity assessment, mathematics, computer science (high performance computing) and policy. |
Start Year | 2019 |
Description | Peatland ACTION |
Organisation | NatureScot |
Country | United Kingdom |
Sector | Public |
PI Contribution | We are developing our diversity framework and biodiversity simulation environment to target peatland environments to help Peatland ACTION (a part of SNH) better target their peatland restoration work. |
Collaborator Contribution | Peatland ACTION have provided us with expert advice and guidance on modelling of the peatland environment as well as a detailed understanding of how they operate, and data that they have collected in Scotland. |
Impact | One grant at the moment - NE/T010355/1 - which is multidisciplinary, involving botany, ecology, biodiversity assessment, mathematics, computer science (high performance computing) and policy. |
Start Year | 2019 |
Title | EcoSISTEM.jl package in Julia |
Description | Simulation is a Julia package that provides functionality for simulating species undergoing dynamic biological processes such as birth, death, competition and dispersal, as well as environmental changes in climate and habitat. |
Type Of Technology | Software |
Year Produced | 2020 |
Open Source License? | Yes |
Impact | This has allowed us to reconstruct plant biodiversity from historic climate reconstructions and plant records. |
URL | https://boydorr.github.io/Simulation.jl/dev |
Description | BioSS annual meeting: Challenges for mathematics, statistics and bioinformatics in addressing the biodiversity & climate crises (Nov 2022) |
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 | The BioSS annual meeting showcases our research and in particular our RESAS funded projects including Biodiversity and Ecosytems Tools (BET), Sustainable Agriculture Tools (SAT), and Large-scale and Systems Modelling (LSM) and UKRI funded projects. The target audience includes our mathematical and statistical colleagues in research institutes and universities, collaborators in a range of applied sciences and policy colleagues especially in Scottish Government. The theme this year was around extending our collaborative networks to better address the biodiversity & climate crises. |
Year(s) Of Engagement Activity | 2022 |
Description | CSA ENRA and Deputy CSA visit to Biomathematics & Statistics Scotland |
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 | Policymakers/politicians |
Results and Impact | Several BioSS staff met with the Chief Scientific Adviser (CSA) Environment, Natural Resources and Agriculture (ENRA) to the Scottish Government - Professor Mathew Williams and the deputy CSA ENRA - Sallie Bailey. Discussed the role of modelling and statistics in addressing challenges like the biodiversity and climate crises and the need to develop approaches to realise a sustainable agriculture. |
Year(s) Of Engagement Activity | 2022 |