BBSRC Portfolio Analyser
Award details
Application of non-linear mathematics and stochastic modelling to biological systems
Reference
BBS/E/C/00004213
Principal Investigator / Supervisor
Dr Mikhail Semenov
Co-Investigators /
Co-Supervisors
Institution
Rothamsted Research
Department
Rothamsted Research Department
Funding type
Research
Value (£)
843,018
Status
Completed
Type
Institute Project
Start date
01/04/1999
End date
31/03/2008
Duration
108 months
Abstract
The project aims to develop new mathematical approaches to analyse, predict and optimise the behavior of agricultural and biological systems. The project focuses on the development of mathematical and simulation models for novel applications in biology and agriculture and on application of mathematical techniques including non-linear mathematics and stochastic modelling to biological systems. Key objectives of the project are: 1. Crop Modelling: Develop a generic and robust wheat simulation model with special attention to modelling of N uptake and redistribution in wheat. Develop methods of up-scaling of crop simulation models to a simplified metamodel. Develop a framework enabling modelling of inter-crop competition, including weed¿wheat competition. Develop a framework based on crop simulation model for design sustainable wheat ideotype and optimal canopy architecture. Develop link between genomics and crop modelling. 2. Weather Modelling: Develop novel approaches to stochastic weather modelling, including the use of information from regional and global climate models. Develop a methodology for spatial interpolation of the LARS-WG weather generator in the UK. 3. Risk Assessment: Investigate non-linear interactions between crop and its environment, especially the effect of climatic variability on agricultural risk under climate change. Develop novel approaches for real-time prediction of crop growth. 4. Modelling of trophic interactions: develop a system of non-linear models for slug-nematode interactions. This system will be incorporated into a spatially explicit individual based model and will produce local and regional risk assessments of slug damage, and the effectiveness of slug control using nematode.
Summary
unavailable
Committee
Closed Committee - Agri-food (AF)
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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