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dc.contributor.authorVirgili, Auriane
dc.contributor.authorHedon, Laura
dc.contributor.authorAuthier, Matthieu
dc.contributor.authorCalmettes, Beatriz
dc.contributor.authorClaridge, Diane
dc.contributor.authorCole, Tim
dc.contributor.authorCorkeron, Peter and Doremus, Ghislain
dc.contributor.authorDunn, Charlotte
dc.contributor.authorDunn, Tim E.
dc.contributor.authorLaran, Sophie and Lehodey, Patrick
dc.contributor.authorLewis, Mark
dc.contributor.authorLouzao, Maite
dc.contributor.authorMannocci, Laura
dc.contributor.authorMartinez-Cedeira, Jose
dc.contributor.authorMonestiez, Pascal
dc.contributor.authorPalka, Debra and Pettex, Emeline
dc.contributor.authorRoberts, Jason J.
dc.contributor.authorRuiz, Leire
dc.contributor.authorSaavedra, Camilo
dc.contributor.authorSantos, M. Begona
dc.contributor.authorVan Canneyt, Olivier
dc.contributor.authorBonales, Jose Antonio Vazquez
dc.contributor.authorRidoux, Vincent
dc.date.accessioned2022-01-04T11:31:12Z-
dc.date.available2022-01-04T11:31:12Z-
dc.date.issued2021
dc.identifierWOS:000685264900069
dc.identifier.issn1932-6203
dc.identifier.urihttp://dspace.azti.es/handle/24689/1217-
dc.description.abstractIn habitat modelling, environmental variables are assumed to be proxies of lower trophic levels distribution and by extension, of marine top predator distributions. More proximal variables, such as potential prey fields, could refine relationships between top predator distributions and their environment. In situ data on prey distributions are not available over large spatial scales but, a numerical model, the Spatial Ecosystem And POpulation DYnamics Model (SEAPODYM), provides simulations of the biomass and production of zooplankton and six functional groups of micronekton at the global scale. Here, we explored whether generalised additive models fitted to simulated prey distribution data better predicted deep-diver densities (here beaked whales Ziphiidae and sperm whales Physeter macrocephalus) than models fitted to environmental variables. We assessed whether the combination of environmental and prey distribution data would further improve model fit by comparing their explanatory power. For both taxa, results were suggestive of a preference for habitats associated with topographic features and thermal fronts but also for habitats with an extended euphotic zone and with large prey of the lower mesopelagic layer. For beaked whales, no SEAPODYM variable was selected in the best model that combined the two types of variables, possibly because SEAPODYM does not accurately simulate the organisms on which beaked whales feed on. For sperm whales, the increase model performance was only marginal. SEAPODYM outputs were at best weakly correlated with sightings of deep-diving cetaceans, suggesting SEAPODYM may not accurately predict the prey fields of these taxa. This study was a first investigation and mostly highlighted the importance of the physiographic variables to understand mechanisms that influence the distribution of deep-diving cetaceans. A more systematic use of SEAPODYM could allow to better define the limits of its use and a development of the model that would simulate larger prey beyond 1,000 m would probably better characterise the prey of deep-diving cetaceans.
dc.language.isoEnglish
dc.publisherPUBLIC LIBRARY SCIENCE
dc.subjectSPECIES DISTRIBUTION MODELS
dc.subjectMARINE PROTECTED AREAS
dc.subjectMULTIMODEL INFERENCE
dc.subjectFORAGING BEHAVIOR
dc.subjectBEAKED-WHALES
dc.subjectHABITAT
dc.subjectCETACEAN
dc.subjectPRODUCTIVITY
dc.subjectSELECTION
dc.subjectFEATURES
dc.titleTowards a better characterisation of deep-diving whales' distributions by using prey distribution model outputs?
dc.typeArticle
dc.identifier.journalPLOS ONE
dc.format.volume16
dc.contributor.funderRamon y CajalSpanish Government [RYC-201209897]
dc.contributor.funderSpanish Ministry of Economy, Industry and CompetitivenessSpanish Government
dc.contributor.funderRegion Nouvelle AquitaineRegion Nouvelle-Aquitaine
dc.contributor.funderDirection Generale de l'Armement (DGA)General Electric
dc.identifier.doi10.1371/journal.pone.0255667
Aparece en las tipos de publicación: Artículos científicos



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