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dc.contributorLe, Quang Baoen_US
dc.contributorOkuro, Toshiyaen_US
dc.contributorXueyong, Zhaoen_US
dc.contributorTakeuchi, Kazuhikoen_US
dc.creatorMiyasaka, Takafumien_US
dc.date2017-04-30en_US
dc.date.accessioned2017-03-01T01:31:21Z
dc.date.available2017-03-01T01:31:21Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/3Rd4T5Aqen_US
dc.identifier.citationTakafumi Miyasaka, Quang Bao Le, Toshiya Okuro, Zhao Xueyong, Kazuhiko Takeuchi. (30/4/2017). Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services. Landscape Ecology, 32 (4), pp. 707-727.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6102
dc.description.abstractContext: Recent conceptual developments in ecosystem services research have revealed the need to elucidate the complex and unintended relationships between humans and the environment if we are to better understand and manage ecosystem services in practice. Objectives: This study aimed to develop a model that spatially represents a complex human–environment (H–E) system consisting of heterogeneous social–ecological components and feedback mechanisms at multiple scales, in order to assess multi-dimensional (spatial, temporal, and social) trade-offs in ecosystem services. Methods: We constructed an agent-based model and empirically calibrated it for a semi-arid region in Northeast China, and examined ecosystem service trade-offs derived from the Sloping Land Conversion Program (SLCP), which is based on payment for ecosystem services. This paper describes our model, named Inner Mongolia Land Use Dynamic Simulator (IM-LUDAS), using the Overview, Design concepts, and Details and Decision (ODD+D) protocol and demonstrates the capabilities of IM-LUDAS through simulations. Results: IM-LUDAS represented typical characteristics of complex H–E systems, such as secondary and cross-scale feedback loops, time lags, and thresholden_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-4.0en_US
dc.sourceLandscape Ecology;32,(2017) Pagination 707,727en_US
dc.subjectcost-effective targetingen_US
dc.subjecteconomic structural shiften_US
dc.subjectgrain for greenen_US
dc.subjectheterogeneityen_US
dc.subjecthierarchyen_US
dc.subjecthorqin sandy landen_US
dc.subjectmulti-agent systemen_US
dc.subjectspatio-temporal externalityen_US
dc.titleAgent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem servicesen_US
dc.typeJournal Articleen_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocdesertificationen_US
cg.subject.agrovocinner mongoliaen_US
cg.contributor.centerTokyo University of Agriculture and Technology - TUATen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.centerThe University of Tokyo - UTokyoen_US
cg.contributor.centerChinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute - CAS-CAREERIen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.regionEastern Asiaen_US
cg.coverage.countryCNen_US
cg.contactmiyataka@cc.tuat.ac.jpen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s10980-017-0495-xen_US
dc.identifier.statusOpen accessen_US
mel.impact-factor3.615en_US


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