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A dynamic occupancy model for interacting species with two spatial scales

hal.structure.identifierUniversity of Tromsø [UiT]
dc.contributor.authorKLEIVEN, Eivind Flittie
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBARRAQUAND, Frederic
hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
dc.contributor.authorGIMENEZ, Olivier
hal.structure.identifierUniversity of Tromsø [UiT]
dc.contributor.authorHENDEN, John-André
hal.structure.identifierUniversity of Tromsø [UiT]
dc.contributor.authorIMS, Rolf Anker
hal.structure.identifierUniversity of Tromsø [UiT]
dc.contributor.authorSOININEN, Eeva
hal.structure.identifierUniversity of Tromsø [UiT]
dc.contributor.authorYOCCOZ, Nigel Gilles
dc.date.accessioned2024-04-04T02:29:59Z
dc.date.available2024-04-04T02:29:59Z
dc.date.created2021-03-05
dc.date.issued2023-04-10
dc.identifier.issn1085-7117
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190225
dc.description.abstractEnOccupancy models have been extended to account for either multiple spatial scales or species interactions in a dynamic setting. However, as interacting species (e.g., predators and prey) often operate at different spatial scales, including nested spatial structure might be especially relevant to models of interacting species. Here we bridge these two model frameworks by developing a multi-scale, two-species occupancy model. The model is dynamic, i.e. it estimates initial occupancy, colonization and extinction probabilities—including probabilities conditional to the other species’ presence. With a simulation study, we demonstrate that the model is able to estimate most parameters without marked bias under low, medium and high average occupancy probabilities, as well as low, medium and high detection probabilities, with only a small bias for some parameters in low-detection scenarios. We further evaluate the model’s ability to deal with sparse field data by applying it to a multi-scale camera trapping dataset on a mustelid-rodent predator–prey system. Most parameters are estimated with low uncertainty (i.e. narrow posterior distributions). More broadly, our model framework creates opportunities to explicitly account for the spatial structure found in many spatially nested study designs, and to study interacting species that have contrasting movement ranges with camera traps.
dc.description.sponsorshipEffets de la gestion et du climat sur la dynamique des communautés - Développement d'une démographie multi-espèce. - ANR-16-CE02-0007
dc.language.isoen
dc.publisherSpringer Verlag
dc.title.enA dynamic occupancy model for interacting species with two spatial scales
dc.typeArticle de revue
dc.identifier.doi10.1007/s13253-023-00533-6
dc.subject.halSciences de l'environnement/Biodiversité et Ecologie
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
bordeaux.journalJournal of Agricultural, Biological, and Environmental Statistics
bordeaux.page466–482
bordeaux.volume28
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03372231
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03372231v1
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