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dc.contributor.authorMartínez-Minaya, Joaquín
dc.contributor.authorConesa, David
dc.contributor.authorBakka, Haakon
dc.contributor.authorPennino, Maria Grazia
dc.date.accessioned2019-08-06T14:04:40Z
dc.date.available2019-08-06T14:04:40Z
dc.date.issued2019-06-04
dc.identifier.citationMartínez-Minaya, J., Conesa, D., Bakka, H., & Pennino, M. G. (2019). Dealing with physical barriers in bottlenose dolphin (Tursiops truncatus) distribution. Ecological Modelling, 406, 44–49. doi:10.1016/j.ecolmodel.2019.05.013
dc.identifier.doi10.1016/j.ecolmodel.2019.05.013
dc.identifier.urihttp://hdl.handle.net/10754/656386
dc.description.abstractWorldwide, cetacean species have started to be protected, but they are still very vulnerable to accidental damage from an expanding range of human activities at sea. To properly manage these potential threats we need a detailed understanding of the seasonal distributions of these highly mobile populations. To achieve this goal, a growing effort has been underway to develop species distribution models (SDMs)that correctly describe and predict preferred species areas. However, accuracy is not always easy to achieve when physical barriers, such as islands, are present. Indeed, SDMs assume, if only implicitly, that the spatial effect is stationary, and that correlation is only dependent on the distance between observations and not on the direction or a spatial coordinates. The application of stationary SDMs in these cases could lead to incorrect predictions and, consequently, to uninformed decision making. In this study, we identify vulnerable habitats for the bottlenose dolphin in the Archipelago de La Maddalena, Northern Sardinia (Italy)using Bayesian hierarchical SDMs that account for the physical barriers issue and provide a full specification of the associated uncertainty. The approach we propose constitutes a major step forward in the understanding of cetacean species in many ecosystems where physical, geographical and topographical barriers are present.
dc.description.sponsorshipDC would like to thank the Ministerio de Educación y Ciencia (Spain)for financial support (jointly financed by the European Regional Development Fund, FEDER)via Research Grants MTM2016-77501-P and TEC2016-81900-REDT. JM-M would like to thank Generalitat Valenciana and the European Social Fund (ESF)for support via VALi+d grant ACIF/2016/455 (ESF invests in your future). Authors are very grateful to all people working in the field surveys and in particular to Dr. Andrea Rotta.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0304380019302030
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Ecological Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Ecological Modelling, [[Volume], [Issue], (2019-06-04)] DOI: 10.1016/j.ecolmodel.2019.05.013 . © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArchipelago de La Maddalena
dc.subjectCetaceans
dc.subjectHierarchical Bayesian spatial models
dc.subjectINLA
dc.subjectSPDE
dc.titleDealing with physical barriers in bottlenose dolphin (Tursiops truncatus)distribution
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalEcological Modelling
dc.rights.embargodate2021-06-04
dc.eprint.versionPost-print
dc.contributor.institutionDepartament d'Estadística i Investigació Operativa, Universitat de València, C/Dr. Moliner 50, Burjassot, 46100 Valencia, Spain
dc.contributor.institutionStatistical Modeling Ecology Group (SMEG), Departament d'Estadística i Investigació Operativa, Universitat de València, C/Dr. Moliner 50, Burjassot, 46100 Valencia, Spain
dc.contributor.institutionInstituto Español de Oceanografía, Centro Oceanográfico de Vigo, Subida a Radio Faro, 50-52, 36390 Vigo, Pontevedra, Spain
kaust.personBakka, Haakon
dc.date.published-online2019-06-04
dc.date.published-print2019-08


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