Award details

Modelling life-history/dispersal-strategy interactions to predict persistence and diversity in agricultural landscapes

Reference	D14036
Principal Investigator / Supervisor	Professor Godfrey Matthew Hewitt
Co-Investigators / Co-Supervisors	Dr K Ibrahim
Institution	University of East Anglia
Department	Biological Sciences
Funding type	Research
Value (£)	157,992
Status	Completed
Type	Research Grant
Start date	01/10/2001
End date	01/10/2004
Duration	36 months

Abstract

Linyphiid spiders spread risks by dispersing between the shifting resources and hazards in the farmland mosaic. Life history, dispersal strategy and patterns of land use interact to determine population size and persistence. Non-linear modelling will link wind-borne dispersal and population dynamics in simulation models parameterised with experimental population dispersal data, land use data and meteorological records. Models will be validated against Rothamsted Insect Survey and genetic data and used to assess risks to regional biodiversity from local field practices. Dispersal behaviour in island and mainland populations will be studied to assess the adaptive responses of populations exposed to different levels of risk during dispersal. (Joint with grants 321/D14032, 8/D14038 and 233/D14034.)

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

Associated awards:

D14032 Modelling life-history/dispersal-strategy interactions to predict persistence and diversity in agricultural landscapes

D20476 Modelling life-history/dispersal-strategy interactions to predict persistence and diversity in agricultural landscapes

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