Award details

Global environmental change and agriculture: upscaling methods for regional assessment

Reference	BBS/E/C/00813331
Principal Investigator / Supervisor	Dr Mikhail Semenov
Co-Investigators / Co-Supervisors
Institution	Rothamsted Research
Department	Rothamsted Research Department
Funding type	Research
Value (£)	131,127
Status	Completed
Type	Institute Project
Start date	01/04/1997
End date	31/03/1999
Duration	24 months

Abstract

Develop methodology of up-scaling site-specific crop model predictions to conduct regional assessments of the impact of global environmental change. Methods will be based on regression up-scaling and this information will be linked to a simulation model to estimate regional yields. This methodology will be applied to wheat. Objectives 1996 Develop a link between remote sensing and crop simulation models. Method should be based on the analysis remote sensing data and ground truth information for European sites and link this information to the SIRIUS Wheat simulation model to estimate regional yields. 1997 To develop a methodology for interpolation of the LARS stochastic weather generator (LARS- WG) over Great Britain. The parameters of distributions of LARS would be calculated for about 150 sites within GB, where long runs of daily records of observed weather are available. These distributions will be used to calculate a distribution at an unobserved location (a local method). To assess the relationship between rainfall and altitude a thin-spline interpolation of monthly total precipitation will be used to calculate an adjustment coefficient to the distribution at an unobserved location. A thin-spline interpolation will be based on 1500 sites in GB.

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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