Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3200
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dc.contributor.authorJaisli, Isabel-
dc.contributor.authorLaube, Patrick-
dc.contributor.authorTrachsel, Sonja-
dc.contributor.authorOchsner, Pascal-
dc.contributor.authorSchuhmacher, Sarah-
dc.date.accessioned2018-06-28T14:42:52Z-
dc.date.available2018-06-28T14:42:52Z-
dc.date.issued2019-
dc.identifier.issn0168-1699de_CH
dc.identifier.issn1872-7107de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/7487-
dc.description.abstractThis article presents CONSUS (Connecting for Sustainable Sourcing), a modular GIS-based decision-support system for producing and sourcing agricultural commodities. The system extends the classic FAO land evaluation approaches in three specific dimensions: (i) the sustainability dimension: the extended suitability analysis reaches beyond purely biophysical suitability and integrates ecological, economic and social suitability; (ii) the value chain dimension: the focus of suitability analysis includes further upstream activities relevant for product trading; (iii) the spatio-temporal dimension: the inclusion of an adaptive global crop cycle model and scale-specific suitability modules allow for multi-scale suitability evaluation that considers cropping seasons; The system was implemented as a flexible tool set, featuring knowledge databases, GIS toolboxes, and supporting data processing modules. CONSUS emerged from a series of third party funded applied research projects. Two of these serve in this article as case studies illustrating the capabilities of the system: one global case study on the sourcing of hazelnuts, and one regional case study on suitability of soybean production in Rwanda.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofComputers and Electronics in Agriculturede_CH
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectSuitability assessmentde_CH
dc.subjectGISde_CH
dc.subject.ddc338.927: Umweltökonomie und nachhaltige Entwicklungde_CH
dc.subject.ddc630: Landwirtschaftde_CH
dc.titleSuitability evaluation system for the production and sourcing of agricultural commoditiesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
dc.identifier.doi10.21256/zhaw-3200-
dc.identifier.doi10.1016/j.compag.2018.02.002de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end184de_CH
zhaw.pages.start170de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume161de_CH
zhaw.embargo.end2021-07-01de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedGeography of Foodde_CH
zhaw.webfeedGeoinformatikde_CH
zhaw.funding.zhawCONSUSde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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