Land use change and ecosystem services in mountainous watersheds: Predicting the consequences of environmental policies with cellular automata and hydrological modeling

cg.contactsebastian.arnhold@uni-bayreuth.deen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.centerUniversity of Bayreuthen_US
cg.contributor.centerKonkuk University - KUen_US
cg.contributor.centerSeoul National University - SNUen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.countryKRen_US
cg.coverage.regionEastern Asiaen_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.envsoft.2017.06.018en_US
cg.isijournalISI Journalen_US
cg.issn1364-8152en_US
cg.journalEnvironmental Modelling and Softwareen_US
cg.volume122en_US
dc.contributorArnhold, Sebastianen_US
dc.contributorAhn, Soraen_US
dc.contributorLe, Quang Baoen_US
dc.contributorKim, Seong Joonen_US
dc.contributorPark, Soo Jinen_US
dc.contributorKoellner, Thomasen_US
dc.creatorKim, Ilkwonen_US
dc.date.accessioned2017-03-05T16:43:01Z
dc.date.available2017-03-05T16:43:01Z
dc.description.abstractIntegrated model systems that simulate land use and land cover change (LUCC) and associated changes of ecosystem services (ES) are increasingly important for supporting policies and management decisions. However, only few model frameworks exist that consider policy options as drivers of future LUCC and ES simultaneously. We present a modeling procedure that predicts policy-induced LUCC and ES through a combination of cellular automata (CA) and the Soil and Water Assessment Tool (SWAT). We employed this procedure to assess the efficiency of alternative policy instruments including direct payments and command-and-control regulations in mountain watersheds of South Korea. Our approach successfully captures spatial patterns of LUCC, hydrological processes, and the associated gains and losses in ES as well as potential negative externalities (“leakage” effects). Our modeling procedure provides an informative and robust basis for the development of decision support systems for mountain watersheds, where water provision and regulation are of particular concern.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationIlkwon Kim, Sebastian Arnhold, Sora Ahn, Quang Bao Le, Seong Joon Kim, Soo Jin Park, Thomas Koellner. (1/12/2019). Land use change and ecosystem services in mountainous watersheds: Predicting the consequences of environmental policies with cellular automata and hydrological modeling. Environmental Modelling and Software, 122.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6157
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceEnvironmental Modelling and Software;122,(2017)en_US
dc.subjectregulationen_US
dc.subjectcellular automataen_US
dc.subjectsoil and water assessment toolen_US
dc.subjectdirect paymentsen_US
dc.subjectfresh water supplyen_US
dc.subjectnetlogoen_US
dc.titleLand use change and ecosystem services in mountainous watersheds: Predicting the consequences of environmental policies with cellular automata and hydrological modelingen_US
dc.typeJournal Articleen_US
dcterms.available2017-07-01en_US
dcterms.issued2019-12-01en_US
mel.impact-factor4.807en_US

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