Details of Award
NERC Reference : NE/T004029/1
Optimising multifunctional land-use decisions through robust combined models: a pollination-crop yield-landscape aesthetics case study
Grant Award
- Principal Investigator:
- Professor TH Oliver, University of Reading, Sch of Biological Sciences
- Co-Investigator:
- Professor S Potts, University of Reading, Sch of Agriculture Policy and Dev
- Grant held at:
- University of Reading, Sch of Biological Sciences
- Science Area:
- Atmospheric
- Earth
- Freshwater
- Marine
- Terrestrial
- Overall Classification:
- Unknown
- ENRIs:
- Biodiversity
- Environmental Risks and Hazards
- Global Change
- Natural Resource Management
- Pollution and Waste
- Science Topics:
- Agricultural systems
- Biodiversity
- Cropping systems
- Crops (food)
- Managed landscapes
- Sustainable agriculture
- Agricultural systems
- Applied ecology
- Biodiversity
- Earth & environmental
- Conservation Ecology
- Biodiversity conservation
- Ecosystem services
- Habitat fragmentation
- Land use change
- Environmental Planning
- Social Values
- Cultural Studies
- Abstract:
- Making land-use decisions is complicated because there are many competing demands (environmental, social and economic) placed on our landscapes. The decisions we make at small scales can have much larger and longer-term consequences. For instance, in arable landscapes, converting field margins to crop to maximise crop yield in a given field (economic benefit), will reduce pedestrian access beside crops (social benefit) and reduce resources supporting landscape-scale biodiversity (environmental benefit). Lower biodiversity can in turn reduce pollination service and therefore crop yield, not only in the original field, but also in surrounding fields. The consequences of a land-use choice in one field can therefore spread far beyond that field and affect many different benefits. This means that it is essential to assess the impacts of land-use decisions on all of these benefits simultaneously, in order to make the most informed land-use decisions at the landscape scale. Although many statistical models allow us to measure individual benefits in great detail across the landscape, very few combine multiple benefits, and those that do, typically do not consider the feedbacks between different benefits due to their additive model structure. Furthermore, these existing combined models rarely account for the time-dependent aspects of benefits derived, which can be significant for land-use choices such as woodland creation, which takes decades to reach their full biodiversity benefits. Our project will combine physical science expertise in building spatially-explicit time-dependent computer models with expertise in ecology, sociology and economics to develop the first modelling framework that combines multiple interacting landscape-scale benefit models, to identify land-use choices that maximise the ecological, social and economic benefits provided by the landscape over time. The project will use pollinators and the benefits they provide in agricultural landscapes as a case study for model development, because agricultural land-use interventions for supporting pollinators affect environmental (by supporting biodiversity), social (by affecting the scenic quality of farmland), and economic (by determining pollination service to crops) benefits simultaneously. Our model will therefore combine and interlink three individual benefit models - a pollinator abundance biodiversity-benefit model, an aesthetic value social-benefit model and a monetary crop value economic-benefit model - into a single cohesive whole. It will also account for how the benefits provided by interventions such as flower strips and hedgerow creation can change over time. We will test the model on a series of real agricultural landscapes incorporating varying amounts of pollinator interventions to identify the optimum proportions of interventions required to maximise the environmental, social and economic benefits provided by the landscapes over time. The outcomes of this project are directly relevant to designing future UK agri-environment schemes, and we will work with project partners to demonstrate the potential of the combined model framework to inform real-world land-use decisions. The modelling framework can then be expanded in future to include other benefits (e.g. abundance of other species, water quality/quantity etc.) and identify optimum solutions for other land-use systems with competing environmental, social and economic demands (e.g. new developments balancing housing needs with green infrastructure).
- NERC Reference:
- NE/T004029/1
- Grant Stage:
- Completed
- Scheme:
- Directed (RP) - NR1
- Grant Status:
- Closed
- Programme:
- Landscape Decisions
This grant award has a total value of £50,174
FDAB - Financial Details (Award breakdown by headings)
| Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DA - Other Directly Allocated |
|---|---|---|---|---|
| £19,246 | £2,994 | £18,724 | £8,594 | £616 |
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