Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 400531
Title Ground beetle dispersal: how to bridge the scales?
Author(s) Allema, A.B.; Rossing, W.A.H.; Werf, W. van der; Volker, D.; Marsan, D.; Steingröver, E.G.; Lenteren, J.C. van
Source In: IOBC/WPRS Working Group Landscape management for functional biodiversity, Cambridge, UK, 22 June – 1 July, 2010. - Darmstadt : IOBC/WPRS - ISBN 9789290672302 - p. 5 - 8.
Event Darmstadt : IOBC/WPRS - ISBN 9789290672302 Landscape management for functional biodiversity, Cambridge, UK, 2010-06-29/2010-07-01
Department(s) Biological Farming Systems
Crop and Weed Ecology
CL - Ecological Networks
Laboratory of Entomology
Publication type Contribution in proceedings
Publication year 2010
Abstract Beneficial arthropods that provide biological control of aphids or weed seeds use a variety of habitats in agricultural landscapes. Information on the movement behaviour of these arthropods between these habitats is needed to develop conservation strategies that sustain pest suppression in agricultural landscapes. Models for movement behaviour may help to understand and explore biocontrol functions. As measurements of behaviour at the landscape scale are technically difficult to make, measurements are often made at smaller scales. It is then necessary to upscale to larger scales, using movement models. Here we present a case study on such upscaling. The first results indicate that upscaling from small scales to large scales, using a correlated random movement model, may result in errors. An alternative approach, to be tested in further work, is to fit the movement model directly to the large scale data
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