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dc.contributor.authorPinto, Cecilia
dc.contributor.authorThorburn, James A.
dc.contributor.authorNeat, Francis
dc.contributor.authorWright, Peter J.
dc.contributor.authorWright, Serena
dc.contributor.authorScott, Beth E.
dc.contributor.authorCornulier, Thomas
dc.contributor.authorTravis, Justin M. J.
dc.date.accessioned2017-06-01T23:02:28Z
dc.date.available2017-06-01T23:02:28Z
dc.date.issued2016-06
dc.identifier.citationPinto , C , Thorburn , J A , Neat , F , Wright , P J , Wright , S , Scott , B E , Cornulier , T & Travis , J M J 2016 , ' Using individual tracking data to validate the predictions of species distribution models ' , Diversity and Distributions , vol. 22 , no. 6 , pp. 682-693 . https://doi.org/10.1111/ddi.12437en
dc.identifier.issn1366-9516
dc.identifier.otherPURE: 66467334
dc.identifier.otherPURE UUID: 0b77dff7-eb4d-44ea-b789-f00c5973a5df
dc.identifier.otherScopus: 84961773674
dc.identifier.urihttp://hdl.handle.net/2164/8740
dc.descriptionThe authors would like to thank the College of Life Sciences of Aberdeen University and Marine Scotland Science which funded CP's PhD project. Skate tagging experiments were undertaken as part of Scottish Government project SP004. We thank Ian Burrett for help in catching the fish and the other fishermen and anglers who returned tags. We thank José Manuel Gonzalez-Irusta for extracting and making available the environmental layers used as environmental covariates in the environmental suitability modelling procedure. We also thank Jason Matthiopoulos for insightful suggestions on habitat utilization metrics as well as Stephen C.F. Palmer, and three anonymous reviewers for useful suggestions to improve the clarity and quality of the manuscript.en
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofDiversity and Distributionsen
dc.rightsThis is the peer reviewed version of the following article: Pinto, C., Thorburn, J. A., Neat, F., Wright, P. J., Wright, S., Scott, B. E., Cornulier, T. and Travis, J. M. J. (2016), Using individual tracking data to validate the predictions of species distribution models. Diversity Distrib., 22: 682–693., which has been published in final form at doi:10.1111/ddi.12437. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en
dc.subjectdata integrationen
dc.subjectDipturus cf. intermediaen
dc.subjectgeneralized additive modelen
dc.subjectindividual movmenten
dc.subjectmodel validationen
dc.subjectspecies distribution modelen
dc.subjecttidal geolocation modelen
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleUsing individual tracking data to validate the predictions of species distribution modelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Marine Alliance for Science and Technology for Scotland (MASTS)en
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.description.versionPostprinten
dc.description.versionPostprinten
dc.description.versionPostprinten
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1111/ddi.12437
dc.date.embargoedUntil2017-03-23
dc.identifier.vol22en
dc.identifier.iss6en


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