Optimal Scales of Neighbourhood Effects on Landuse Change: An Analysis Procedure Applied in an Alpine Mountainous Region

cg.contactQ.Le@cgiar.orgen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.centerSwiss Federal Institute of Technology Zurich - ETH Zurichen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryCHen_US
cg.coverage.regionWestern Europeen_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovoclanden_US
cg.subject.agrovocland useen_US
cg.subject.agrovocland-use changeen_US
cg.subject.agrovocmodellingen_US
dc.contributorHuber, Roberten_US
dc.creatorLe, Quang Baoen_US
dc.date.accessioned2017-02-28T21:31:30Z
dc.date.available2017-02-28T21:31:30Z
dc.description.abstractNeighbourhood effects on land use change are very common. Therefore, they are often included in spatially explicit models of land use change and other spatial analyses. Neighbourhood indices, however, depend strongly on the spatial extent set for calculating them. So far, most of the existing land-use change analyses or models using neighbourhood indices assumed some predefined neighbourhood extents without proving whether the selected extents are optimal for the analysis of the corresponding land use dynamics. This paper presents a methodological procedure to identify (i) the optimal neighbourhood extent and (ii) the range of scale-dependency in neighbourhood effects of different land use types and different types of land conversions. We applied this procedure in the canton Valais of Switzerland, an inner Alpine mountainous region. The findings clearly show the differences in optimal neighbourhood extent and the scale-dependency among conversion types. The procedure introduced in this contribution can help to optimize the neighbourhood variables in spatially explicit landuse change models toward improving model robustness and accuracyen_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/Kq4iKyvp/v/271ebe28202136bd9321516ffd362075en_US
dc.identifier.citationQuang Bao Le, Robert Huber. (27/2/2017). Optimal Scales of Neighbourhood Effects on Landuse Change: An Analysis Procedure Applied in an Alpine Mountainous Region. Toulouse, France: Sabine Sauvage (Curator), José Miguel Sanchez Perez, Andrea Emilio Rizzoli.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6092
dc.languageenen_US
dc.publisherInternational Environmental Modelling and Software Society - iEMSsen_US
dc.rightsCC-BY-4.0en_US
dc.subjectforesten_US
dc.subjectneighbourhood effecten_US
dc.subjectscale-dependencyen_US
dc.subjectland-use dynamicen_US
dc.titleOptimal Scales of Neighbourhood Effects on Landuse Change: An Analysis Procedure Applied in an Alpine Mountainous Regionen_US
dc.typeConference Paperen_US
dcterms.available2017-02-27en_US
dcterms.issued2017-02-27en_US

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