Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27793
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dc.contributor.authorDuthie, A Bradleyen_UK
dc.contributor.authorCusack, Jeremy Jen_UK
dc.contributor.authorJones, Isabel Len_UK
dc.contributor.authorMinderman, Jeroenen_UK
dc.contributor.authorNilsen, Erlend Ben_UK
dc.contributor.authorPozo, Rocío Aen_UK
dc.contributor.authorRakotonarivo, O Sarobidyen_UK
dc.contributor.authorVan Moorter, Bramen_UK
dc.contributor.authorBunnefeld, Nilsen_UK
dc.date.accessioned2018-09-13T00:01:27Z-
dc.date.available2018-09-13T00:01:27Z-
dc.date.issued2018-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27793-
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. 5. The R package GMSE is open source under GNU Public License; source code and documents are freely available on GitHub.en_UK
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.relationDuthie AB, Cusack JJ, Jones IL, Minderman J, Nilsen EB, Pozo RA, Rakotonarivo OS, Van Moorter B & Bunnefeld N (2018) GMSE: an R package for generalised management strategy evaluation. Methods in Ecology and Evolution, 9 (12), pp. 2396-2401. https://doi.org/10.1111/2041-210x.13091en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the peer reviewed version of the following article: Duthie AB, Cusack JJ, Jones IL, et al. GMSE: An r package for generalised management strategy evaluation. Methods Ecol Evol. 2018;9:2396–2401, which has been published in final form at https://doi.org/10.1111/2041-210X.13091. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.en_UK
dc.subjectadaptive managementen_UK
dc.subjectconservation conflicten_UK
dc.subjectecological modellingen_UK
dc.subjectgame theoryen_UK
dc.subjectmanagement strategy evaluationen_UK
dc.titleGMSE: an R package for generalised management strategy evaluationen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2019-09-12en_UK
dc.rights.embargoreason[Duthie_et_al-2018-Methods_in_Ecology_and_Evolution.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1111/2041-210x.13091en_UK
dc.citation.jtitleMethods in Ecology and Evolutionen_UK
dc.citation.issn2041-210Xen_UK
dc.citation.volume9en_UK
dc.citation.issue12en_UK
dc.citation.spage2396en_UK
dc.citation.epage2401en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderEuropean Commissionen_UK
dc.contributor.funderThe Leverhulme Trusten_UK
dc.author.emailalexander.duthie@stir.ac.uken_UK
dc.citation.date11/09/2018en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationNorwegian Institute for Nature Researchen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationNorwegian Institute for Nature Researchen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000453591800009en_UK
dc.identifier.scopusid2-s2.0-85055182804en_UK
dc.identifier.wtid996070en_UK
dc.contributor.orcid0000-0001-8343-4995en_UK
dc.contributor.orcid0000-0003-3004-1586en_UK
dc.contributor.orcid0000-0002-8361-1370en_UK
dc.contributor.orcid0000-0002-8451-5540en_UK
dc.contributor.orcid0000-0002-8032-1431en_UK
dc.contributor.orcid0000-0002-1349-4463en_UK
dc.date.accepted2018-09-04en_UK
dcterms.dateAccepted2018-09-04en_UK
dc.date.filedepositdate2018-09-12en_UK
dc.relation.funderprojectConFooBioen_UK
dc.relation.funderprojectBiodiversity and ecosystem function in ephemeral patches: a trait-based approachen_UK
dc.relation.funderref679651en_UK
dc.relation.funderrefECF-2016-376en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorDuthie, A Bradley|0000-0001-8343-4995en_UK
local.rioxx.authorCusack, Jeremy J|0000-0003-3004-1586en_UK
local.rioxx.authorJones, Isabel L|0000-0002-8361-1370en_UK
local.rioxx.authorMinderman, Jeroen|0000-0002-8451-5540en_UK
local.rioxx.authorNilsen, Erlend B|en_UK
local.rioxx.authorPozo, Rocío A|en_UK
local.rioxx.authorRakotonarivo, O Sarobidy|0000-0002-8032-1431en_UK
local.rioxx.authorVan Moorter, Bram|en_UK
local.rioxx.authorBunnefeld, Nils|0000-0002-1349-4463en_UK
local.rioxx.project679651|European Commission (Horizon 2020)|en_UK
local.rioxx.projectECF-2016-376|The Leverhulme Trust|en_UK
local.rioxx.freetoreaddate2019-09-12en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-09-11en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2019-09-12|en_UK
local.rioxx.filenameDuthie_et_al-2018-Methods_in_Ecology_and_Evolution.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2041-210Xen_UK
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