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dc.contributor.authorDuthie, A. Bradley
dc.contributor.authorCusack, Jeremy J.
dc.contributor.authorJones, Isabel L.
dc.contributor.authorMinderman, Jeroen
dc.contributor.authorNilsen, Erlend Birkeland
dc.contributor.authorPozo, Rocio A.
dc.contributor.authorRakotonarivo, O. Sarobidy
dc.contributor.authorVan Moorter, Bram
dc.contributor.authorBunnefeld, Nils
dc.date.accessioned2018-09-24T08:36:06Z
dc.date.available2018-09-24T08:36:06Z
dc.date.created2018-09-13T09:40:07Z
dc.date.issued2018
dc.identifier.issn2041-210X
dc.identifier.urihttp://hdl.handle.net/11250/2564032
dc.description.abstract1. Management strategy evaluation MSE is a powerful tool for simulating all key aspects of natural resource management under conditions of uncertainty. 2. We present the R package GMSE, which applies genetic algorithms to provide a generalised tool for simulating adaptive decision-making management scenarios between stakeholders with competing objectives under complex social-ecological interactions and uncertainty. 3. GMSE models can be agent-based and spatially explicit, incorporating a high degree of realism through mechanistic modelling of links and feedbacks among stakeholders and with the ecosystem; additionally, user-defined sub-models can also be incorporated as functions into the broader GMSE framework. 4. We show how GMSE simulates a social-ecological system using the example of an adaptively managed waterfowl population on an agricultural landscape; simulated waterfowl exploit agricultural land, causing conflict between conservation interests and the interest of food producers maximising their crop yield. 3. The R package GMSE is open source under GNU Public License; source code and documents are freely available on GitHub. adaptive management, conservation conflict, ecological modelling, game theory, management strategy evaluationnb_NO
dc.language.isoengnb_NO
dc.titleGMSE: an R package for generalised management strategy evaluationnb_NO
dc.title.alternativeGMSE: an R package for generalised management strategy evaluationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480nb_NO
dc.subject.nsiVDP::Zoology and botany: 480nb_NO
dc.source.journalMethods in Ecology and Evolutionnb_NO
dc.identifier.doi10.1111/2041-210X.13091
dc.identifier.cristin1609069
dc.relation.projectEC/H2020/679651 (ConFooBio)nb_NO
cristin.unitcode7511,2,0,0
cristin.unitnameAvdeling for terrestrisk økologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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