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2017-03-02Zeitschriftenartikel DOI: 10.18452/18737
Scenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis
dc.contributor.authorGollnow, Florian
dc.contributor.authorGöpel, Jan
dc.contributor.authorde Barros Vivana Hissa, Letícia
dc.contributor.authorSchaldach, Rüdiger
dc.contributor.authorLakes, Tobia
dc.date.accessioned2018-01-24T11:35:35Z
dc.date.available2018-01-24T11:35:35Z
dc.date.issued2017-03-02
dc.identifier.issn1436-378X
dc.identifier.urihttp://edoc.hu-berlin.de/18452/19450
dc.description.abstractLocal, regional, and global processes affect deforestation and land-use changes in the Brazilian Amazon. Characteristics are: direct conversions from forest to pasture; regional processes of indirect land-use change, described by the conversion of pastures to cropland, which increases the demand for pastures elsewhere; and teleconnections, fueled by the global demands for soybeans as animal fodder. We modeled land-use changes for two scenarios Trend and Sustainable Development for a hot spot of land-use change along the BR-163 highway in Mato Grosso and Para´, Brazil. We investigated the differences between a coupled modeling approach, which incorporates indirect land-use change processes, and a noncoupled landuse model. We coupled the regional-scale LandSHIFT model, defined for Mato Grosso and Para´, with a subregional model, alucR, covering a selected corridor along the BR-163. The results indicated distinct land-use scenario outcomes from the coupled modeling approach and the subregional model quantification. We found the highest deforestation estimates returned from the subregional quantification of the Trend scenario. This originated from the strong local dynamics of past deforestation and landuse changes. Land-use changes exceeded the demands estimated at regional scale. We observed the lowest deforestation estimates at the subregional quantification of the Sustainable Development story line. We highlight that model coupling increased the representation of scenario outcomes at fine resolution while providing consistency across scales. However, distinct local dynamics were explicitly captured at subregional scale. The scenario result pinpoints the importance of policies to aim at the cattle ranching sector, to increase land tenure registration and enforcement of environmental laws.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLand-use modelingeng
dc.subjectMultiscaleeng
dc.subjectCross-scaleeng
dc.subjectBrazilian Amazoneng
dc.subjectLandSHIFTeng
dc.subjectalucReng
dc.subject.ddc333.7 Natürliche Resourcen, Energie und Umwelt
dc.titleScenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/19450-0
dc.identifier.doihttp://dx.doi.org/10.18452/18737
dc.type.versionpublishedVersion
local.edoc.container-titleRegional Environmental Change
local.edoc.pages17
local.edoc.anmerkungNachgenutzt gemäß den CC-Bestimmungen des Lizenzgebers bzw. einer im Dokument selbst enthaltenen CC-Lizenz.
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionMathematisch-Naturwissenschaftliche Fakultät
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameSpringer
local.edoc.container-volume18
local.edoc.container-issue1
local.edoc.container-firstpage143
local.edoc.container-lastpage159
dc.description.versionPeer Reviewed

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