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School of Biosciences, Division of
Agricultural and Environmental Sciences
   
   
  
 

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Stephen Ramsden

Associate Professor in Management and Director of University Farm, Faculty of Science

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Research Summary

Farm systems modelling

A mixed-integer-programming model, Farm-adapt, has been developed, in collaboration with Dr James Gibbons of the University of Bangor, for use in farm systems research work. The model maximises farm net margin by selecting the optimal mix of crops, animals, labour, machinery, storage, housing and irrigation for a particular type of farm and has been used in policy-related and environmentally-based research (climate change impacts on farms, reducing greenhouse gas emissions and nitrate loss). Farm-adapt has recently used as a case study in the 'Methods for the Development of Parsimonious Models' project, led by Professor Neil Crout.

Catchment modelling

A Tyndall Centre project, 'Adapting to Changing Water Availability in Agriculture and Leisure' used a dynamic version of Farm-adapt to represent two contrasting catchments, the Nar and the Wensum, in East Anglia. The work was conducted in collaboration with researchers from the universities of Nottingham, Cranfield, East Anglia and Southampton, ADAS and the Stockholm Environment Institute The model was run with a revised objective function so that outcomes from previous years' decision making were influenced by changing climatic conditions. This feature was used to assess the impact of climate on cropping and investment in irrigation capacity over time. Variability of predicted outcomes was calculated by generating yield predictions with the LARS weather generator. The Final Report is available from the Institute of Water and Environment at Cranfield University.

Farm risk modelling

Reform of the CAP has left UK farmers exposed to increased price volatility. The objective of this Defra-funded study was to quantify the extent to which it is worthwhile for farmers to manage both price and yield risk in combinable crop production through three different strategies: diversification of crop mix, trading on futures markets or crop storage. The analysis was conducted for pre- and post-Mid Term Review (MTR) policy conditions. To capture the trade-off between risk and profit in decision-making and the different methods available to farmers for managing risk, a farm level economic model was constructed using Farm Business Survey data from five case study East Midlands 'Mainly Cereals' farms. The model was used to quantify the incentive, as measured by improvement in utility, to adopt different forms of risk management on these farms.

Recent Publications

Future Research

Future research will continue in farm systems modeling, with emphasis on the efficiency of reducing environmental impacts, and in farm risk management.

Division of Agricultural and Environmental Sciences

University of Nottingham
Gateway Building, Sutton Bonington Campus,
Nr Loughborough, LE12 5RD

telephone: +44 (0) 115 951 6262
email: biosciences-aes@nottingham.ac.uk