Details of Award
NERC Reference : NE/S017364/1
Smart Systems Approaches for Climate Resilient Livestock Production
Grant Award
- Principal Investigator:
- Professor L Collins, University of Leeds, Sch of Biology
- Co-Investigator:
- Professor S Hajat, London Sch of Hygiene & Tropic. Medicine, Unlisted
- Co-Investigator:
- Dr S Dobbie, University of Leeds, School of Earth and Environment
- Co-Investigator:
- Professor NM Allinson, University of Lincoln, School of Computer Science
- Co-Investigator:
- Professor S Banwart, University of Leeds, School of Earth and Environment
- Co-Investigator:
- Dr M Valadares Galdos, Rothamsted Research, Sustainable Soils and Crops
- Co-Investigator:
- Professor H Miller, University of Leeds, Sch of Biology
- Co-Investigator:
- Professor P Chapman, University of Leeds, Sch of Geography
- Co-Investigator:
- Professor X Ye, University of Exeter, Computer Science
- Grant held at:
- University of Leeds, Sch of Biology
- 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
- Earth & environmental
- Livestock production
- Climate modelling
- Climate variability
- Remote sensing
- Climate & Climate Change
- Risk management
- Satellite observation
- Regional & Extreme Weather
- Data assimilation
- Abstract:
- Resilient, sustainable livestock production is a major gap in the future food system. In the UK, outdoor pig production represents 40% of the breeding herd, but production efficiency and environmental impact are particularly vulnerable to changing climate and extreme weather events. This research will integrate local weather information and precision farming technology to improve our understanding of adaptation options for extreme weather events, with a view to developing a climate-smart, resilient and sustainable production system. Individual animal tracking and monitoring will be used to quantify feeding behaviour, activity levels and non-point source manure loading. Local weather data (temperature, rainfall, wind speed and humidity) collected from the farm's weather station and high resolution short-term precipitation forecasts will be integrated with the behaviour data to develop optimised precision nutrition programs to mitigate environmental emissions for different weather conditions. Weather data and land-atmosphere gas flux monitoring will be used to estimate transport to receiving waters of manure and soil nutrients via the routes of soil infiltration and overland flow and antecedent changes in C and N greenhouse gas fluxes. Process-based modelling of soil C and N dynamics will be used to estimate the effect of manure loading on GHG fluxes in different weather conditions. Weather-informed feeding strategies and stocking practices will be investigated using animal-based and production measures, soil pore water, gas emission and surface drainage chemistry. The research outputs will improve on-farm climate services and technology integration, ensuring future outdoor pig production is sustainable and resilient to climate variability and change.
- NERC Reference:
- NE/S017364/1
- Grant Stage:
- Completed
- Scheme:
- Directed (RP) - NR1
- Grant Status:
- Closed
- Programme:
- UK Climate Resilience
This grant award has a total value of £251,557
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DI - T&S | DA - Other Directly Allocated |
|---|---|---|---|---|---|---|
| £69,288 | £59,452 | £17,967 | £64,272 | £13,721 | £2,420 | £24,439 |
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