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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Suitability evaluation system for the production and sourcing of agricultural commodities
Autor/-in: Jaisli, Isabel
Laube, Patrick
Trachsel, Sonja
Ochsner, Pascal
Schuhmacher, Sarah
DOI: 10.21256/zhaw-3200
10.1016/j.compag.2018.02.002
Erschienen in: Computers and Electronics in Agriculture
Band(Heft): 161
Seite(n): 170
Seiten bis: 184
Erscheinungsdatum: 2019
Verlag / Hrsg. Institution: Elsevier
ISSN: 0168-1699
1872-7107
Sprache: Englisch
Schlagwörter: Suitability assessment; GIS
Fachgebiet (DDC): 338.927: Umweltökonomie und nachhaltige Entwicklung
630: Landwirtschaft
Zusammenfassung: 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.
URI: https://digitalcollection.zhaw.ch/handle/11475/7487
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): CC BY-NC-ND 4.0: Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Gesperrt bis: 2021-07-01
Departement: Life Sciences und Facility Management
Organisationseinheit: Institut für Umwelt und Natürliche Ressourcen (IUNR)
Publiziert im Rahmen des ZHAW-Projekts: CONSUS
Enthalten in den Sammlungen:Publikationen Life Sciences und Facility Management

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Jaisli, I., Laube, P., Trachsel, S., Ochsner, P., & Schuhmacher, S. (2019). Suitability evaluation system for the production and sourcing of agricultural commodities. Computers and Electronics in Agriculture, 161, 170–184. https://doi.org/10.21256/zhaw-3200
Jaisli, I. et al. (2019) ‘Suitability evaluation system for the production and sourcing of agricultural commodities’, Computers and Electronics in Agriculture, 161, pp. 170–184. Available at: https://doi.org/10.21256/zhaw-3200.
I. Jaisli, P. Laube, S. Trachsel, P. Ochsner, and S. Schuhmacher, “Suitability evaluation system for the production and sourcing of agricultural commodities,” Computers and Electronics in Agriculture, vol. 161, pp. 170–184, 2019, doi: 10.21256/zhaw-3200.
JAISLI, Isabel, Patrick LAUBE, Sonja TRACHSEL, Pascal OCHSNER und Sarah SCHUHMACHER, 2019. Suitability evaluation system for the production and sourcing of agricultural commodities. Computers and Electronics in Agriculture. 2019. Bd. 161, S. 170–184. DOI 10.21256/zhaw-3200
Jaisli, Isabel, Patrick Laube, Sonja Trachsel, Pascal Ochsner, and Sarah Schuhmacher. 2019. “Suitability Evaluation System for the Production and Sourcing of Agricultural Commodities.” Computers and Electronics in Agriculture 161: 170–84. https://doi.org/10.21256/zhaw-3200.
Jaisli, Isabel, et al. “Suitability Evaluation System for the Production and Sourcing of Agricultural Commodities.” Computers and Electronics in Agriculture, vol. 161, 2019, pp. 170–84, https://doi.org/10.21256/zhaw-3200.


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