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dc.contributor.authorVajas, Pablo
dc.contributor.authorCalenge, Clément
dc.contributor.authorGamelon, Marlène
dc.contributor.authorGirard, Fabrice
dc.contributor.authorMelac, Olivier
dc.contributor.authorChandosne, Charlette
dc.contributor.authorRichard, Emmanuelle
dc.contributor.authorSaïd, Sonia
dc.contributor.authorBaubet, Eric
dc.date.accessioned2022-09-20T08:35:57Z
dc.date.available2022-09-20T08:35:57Z
dc.date.created2021-02-02T10:13:16Z
dc.date.issued2021
dc.identifier.citationEcological Indicators. 2021, 124 107442-?.en_US
dc.identifier.issn1470-160X
dc.identifier.urihttps://hdl.handle.net/11250/3019053
dc.description.abstractFor sustainable management of exploited populations, it is required to have good knowledge on temporal trends in population density to adapt the harvest. In this regard, hunting statistics are often collected routinely by government agencies and associations. These data are used to assess demographic trends through the development of indices, which are in turn used to manage exploited populations in a sustainable way. However, these population indices depend on features of the hunting process (e.g. hunting effort, hunting conditions, probability of catch). In this study, we show how to use hunting logs to assess demographic trends in exploited populations while accounting for the components of the hunting process. In particular, we developed a catch-effort model to study how the hunting effort leads to mortality rate – hunting pressure – within a given habitat type and during a given period. We illustrated the usefulness of this approach using exploited wild boar (Sus scrofa) populations as a case study. We used a large hunting logs dataset to perform our study, with several hundreds of thousands hunting events for more than 10 years in two French departments in France, including information about the number of hunters, of wild boars culled and the date of the hunt. We showed that catchability is a key parameter to assess hunting pressure at a given time and place. This parameter varies both within the hunting season and between habitat types. Once this variation in catchability was accounted for, our catch-effort model allowed us to obtain estimates of relative densities of wild boar populations over the study period at the management unit scale. Thus, catch-effort models are powerful tools to assess population density and to understand the underlying hunting process. Our study offers straightforward and reproducible conceptual framework that can be applied routinely by wildlife managers on exploited populations and practitioners from hunting statistics logs.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleCatch-effort model used as a management tool in exploited populations: Wild boar as a case studyen_US
dc.title.alternativeCatch-effort model used as a management tool in exploited populations: Wild boar as a case studyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber107442-?en_US
dc.source.volume124en_US
dc.source.journalEcological Indicatorsen_US
dc.identifier.doi10.1016/j.ecolind.2021.107442
dc.identifier.cristin1885724
dc.relation.projectNorges forskningsråd: 223257en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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