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 405892
Title Simulating Land Use Policies Targeted to Protect Biodiversity with the CLUE-Scanner Model
Author(s) Verburg, P.H.; Lesschen, J.P.; Koomen, E.; Perez-Soba, M.
Source In: Land Use, Climate Chage and Biodiversity Modeling: Perspectives and Applications / Trisurat, Y., Shrestha, R.P., Alkemade, R., Hershey : Information Science Reference - ISBN 9781609606190 - p. 119 - 132.
DOI http://dx.doi.org/10.4018/978-1-60960-619-0.ch006
Department(s) Land Dynamics
SS - Soil Quality and Nutrients
CGI - Earth Observation
Publication type Peer reviewed book chapter
Publication year 2011
Keyword(s) klimaatverandering - landgebruik - habitats - biodiversiteit - modellen - climatic change - land use - biodiversity - models
Categories Climatic Change
Abstract This chapter presents an integrated modelling approach for assessing land use changes and its effects on biodiversity. A modelling framework consisting of a macro-economic model, a land use change model, and biodiversity indicator models is described and illustrated with a scenario study for the European Union. A reference scenario is compared to a scenario in which a number of possible policies for conservation and protection of biodiversity are assumed to have been implemented. The results are evaluated by an indicator of the habitat quality for biodiversity and an indicator of landscape connectivity.The results illustrate that land use change has spatially diverse impacts on biodiversity. The effectiveness of the assumed policies is region and context dependent. The modelling framework can thus provide ex-ante assessments of policies and identify critical regions for biodiversity conservation and assist in targeting policies and incentives to protect biodiversity in vulnerable areas
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