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.

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Record number 392778
Title Modelling of intensive and extensive farming in CLUE
Author(s) Temme, A.J.A.M.; Verburg, P.H.
Source Wageningen : Wettelijke Onderzoekstaken Natuur & Milieu (WOt-werkdocument 187) - 80
Department(s) Land Dynamics
WOT Natuur & Milieu
Publication type Research report
Publication year 2010
Keyword(s) landgebruik - meervoudig landgebruik - extensieve landbouw - intensieve landbouw - biodiversiteit - computer software - landgebruiksmonitoring - modelleren - agrobiodiversiteit - land use - multiple land use - extensive farming - intensive farming - biodiversity - computer software - land use monitoring - modeling - agro-biodiversity
Categories Land Use Systems
Abstract land use modelling framework EURURALIS, and will allow EURURALIS to predict the effect on land use intensity of future policy under different scenarios. In turn, this makes it possible to predict policy effects on intensity-related biodiversity issues on the EU-level. Our method defines agricultural land use intensity in terms of nitrogen input. For arable land, it first combines the Land Use / Cover Area frame statistical Survey (LUCAS) dataset with Common Agricultural Policy Regionalised Impact modelling system (CAPRI) results to assess probability of occurrence for three classes of intensity. For grassland, it uses available spatially explicit predictions of livestock intensity to assess probability of occurrence for two classes of intensity. Then, agricultural land in different intensity classes is spatially allocated using a simple allocation algorithm. We illustrate and evaluate this method for five countries: the Netherlands, Portugal, Spain, Greece and Poland. Intensity predictions are made for two years: 2000 (ex-post) and 2025 (using the Financial Policy Reform Scenario from the FP6 EU SENSOR project). This report contains building bocks for a possible future quality status of the method.
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