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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Suitability evaluation system for the production and sourcing of agricultural commodities
Authors: Jaisli, Isabel
Laube, Patrick
Trachsel, Sonja
Ochsner, Pascal
Schuhmacher, Sarah
DOI: 10.21256/zhaw-3200
Published in: Computers and Electronics in Agriculture
Volume(Issue): 161
Page(s): 170
Pages to: 184
Issue Date: 2019
Publisher / Ed. Institution: Elsevier
ISSN: 0168-1699
Language: English
Subjects: Suitability assessment; GIS
Subject (DDC): 338.927: Environmental economics and sustainable development
630: Agriculture
Abstract: This 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.
Fulltext version: Accepted version
License (according to publishing contract): CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Restricted until: 2021-07-01
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Published as part of the ZHAW project: CONSUS
Appears in collections:Publikationen Life Sciences und Facility Management

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