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dc.contributor.authorKoning GHJ de
dc.contributor.authorVeldkamp A
dc.contributor.authorKok K
dc.contributor.authorRidder N de
dc.contributor.authorFresco LO
dc.contributor.authorSchoorl J
dc.date.accessioned2012-12-12T15:31:07Z
dc.date.available2012-12-12T15:31:07Z
dc.date.issued2001-01-01
dc.identifier410200053
dc.identifier.isbn90 5851034 4
dc.identifier.urihttp://hdl.handle.net/10029/257382
dc.descriptionOrder by e-mail: nopsecr@rivm.nl or by http://www.nop.nlen
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractFor global change policies it is highly relevant to include information of Land Use and Land Cover Change (LULCC), as LULCC contributes to global change but also offers possibilities for mitigation measures. In order to be able to describe and analyse possible LULCC in the near future, modelling approaches are necessary that can be used for scenario analysis. In this project a LULCC-model was developed called CLUE (Conversion of Land Use and its Effects). The model uses quantitative information on the main drivers of land use change at different spatial scales, derived from historical and actual land use patterns. This information is integrated in a spatially explicit dynamic modelling procedure in which near future land use changes are simulated for different scenarios. In these scenarios (inter)national developments can be evaluated, such as changing national demands for food, market liberalization or nature protection, but also regional and local developments like migration and land degradation. The model was applied in several countries in Central and South America and, through collaboration with another NRP-project, also in Asia. For each country or region, the model was calibrated and validated with historical data, and then used for scenario studies with time horizons of 15 to 20 years. Realistic patterns of land use change could be simulated, this way identifying area with highly dynamic land use and high potential impacts on the natural resource base and global climate systems. An example of the assessment of potential land use change effects was given through linkage of CLUE model output with a nutrient flux monitoring approach.
dc.description.sponsorshipSG-NOP
dc.format.extent160 p
dc.language.isoen
dc.relation.ispartofGlobal Change NOP-NRP report 410200053
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/410200053.html
dc.subject10nl
dc.subjectmodellenonderzoeknl
dc.subjectgrondgebruiknl
dc.subjectklimaatveranderingnl
dc.subjectscenario'snl
dc.subjectmodellingen
dc.subjectland useen
dc.subjectclimatic changesen
dc.subjectscenarioen
dc.titleMulti-scale land use modelling with the CLUE Modelling Frameworken
dc.title.alternativeVeelzijdig modeleren met landgebruik door middel van het CLEU Modelling Frameworknl
dc.typeReport
dc.contributor.departmentNOP
dc.date.updated2012-12-12T15:31:08Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractFor global change policies it is highly relevant to include information of Land Use and Land Cover Change (LULCC), as LULCC contributes to global change but also offers possibilities for mitigation measures. In order to be able to describe and analyse possible LULCC in the near future, modelling approaches are necessary that can be used for scenario analysis. In this project a LULCC-model was developed called CLUE (Conversion of Land Use and its Effects). The model uses quantitative information on the main drivers of land use change at different spatial scales, derived from historical and actual land use patterns. This information is integrated in a spatially explicit dynamic modelling procedure in which near future land use changes are simulated for different scenarios. In these scenarios (inter)national developments can be evaluated, such as changing national demands for food, market liberalization or nature protection, but also regional and local developments like migration and land degradation. The model was applied in several countries in Central and South America and, through collaboration with another NRP-project, also in Asia. For each country or region, the model was calibrated and validated with historical data, and then used for scenario studies with time horizons of 15 to 20 years. Realistic patterns of land use change could be simulated, this way identifying area with highly dynamic land use and high potential impacts on the natural resource base and global climate systems. An example of the assessment of potential land use change effects was given through linkage of CLUE model output with a nutrient flux monitoring approach.


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