Vis enkel innførsel

dc.contributor.authorHerrera, Hugo
dc.contributor.authorSchütz, Lilli
dc.contributor.authorPaas, Wim
dc.contributor.authorReidsma, Pytrik
dc.contributor.authorKopainsky, Birgit
dc.date.accessioned2022-06-15T11:29:28Z
dc.date.available2022-06-15T11:29:28Z
dc.date.created2021-12-06T09:58:59Z
dc.date.issued2022
dc.identifier.issn0304-3800
dc.identifier.urihttps://hdl.handle.net/11250/2998863
dc.description.abstractFarming systems in Europe are facing economic, social, environmental and institutional challenges. Highly intensive, climate-exposed, arable farming systems like the Veenkoloniën in the north of the Netherlands are particularly vulnerable to many of these challenges. Just in the past twenty years, the Veenkoloniën has lost half of its small and medium sized family farms specialised in cultivating starch potatoes. While starch potato production continues to be stable as the remaining farms are increasing the size of their operation, local stakeholders are concerned that the farming system in the Veenkoloniën is endangered. In this paper we investigate this issue by using a system dynamics simulation model to explore what the potential structures are that could threaten the long term future of starch potato production and to identify leverage points that can enhance the resilience of the system. Our analysis shows that, so far, farmers’ active engagement in a processing cooperative has been an important element to their resilience to cope with economic and environmental challenges. In practice, the cooperative has been able to act as a buffer and stabilise prices for farmers in the region by implementing strategies that increase the value of their products, open new markets and increase starch potato production.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleUnderstanding resilience of farming systems: Insights from system dynamics modelling for an arable farming system in the Netherlandsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 The Authorsen_US
dc.source.articlenumber109848en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.ecolmodel.2021.109848
dc.identifier.cristin1964915
dc.source.journalEcological Modellingen_US
dc.identifier.citationEcological Modelling. 2022, 464, 109848.en_US
dc.source.volume464en_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal