Catch-effort model used as a management tool in exploited populations: Wild boar as a case study

For 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 demographi...

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Autores principales:	Pablo Vajas, Clément Calenge, Marlène Gamelon, Fabrice Girard, Olivier Melac, Charlette Chandosne, Emmanuelle Richard, Sonia Said, Eric Baubet
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Catchability Population density Hunting effort Hunting pressure Sus scrofa Wildlife management tool Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/e114e3dcee0044c99f838d74055b3f67
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spelling	oai:doaj.org-article:e114e3dcee0044c99f838d74055b3f672021-12-01T04:46:17ZCatch-effort model used as a management tool in exploited populations: Wild boar as a case study1470-160X10.1016/j.ecolind.2021.107442https://doaj.org/article/e114e3dcee0044c99f838d74055b3f672021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21001072https://doaj.org/toc/1470-160XFor 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.Pablo VajasClément CalengeMarlène GamelonFabrice GirardOlivier MelacCharlette ChandosneEmmanuelle RichardSonia SaidEric BaubetElsevierarticleCatchabilityPopulation densityHunting effortHunting pressureSus scrofaWildlife management toolEcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107442- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Catchability Population density Hunting effort Hunting pressure Sus scrofa Wildlife management tool Ecology QH540-549.5
spellingShingle	Catchability Population density Hunting effort Hunting pressure Sus scrofa Wildlife management tool Ecology QH540-549.5 Pablo Vajas Clément Calenge Marlène Gamelon Fabrice Girard Olivier Melac Charlette Chandosne Emmanuelle Richard Sonia Said Eric Baubet Catch-effort model used as a management tool in exploited populations: Wild boar as a case study
description	For 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.
format	article
author	Pablo Vajas Clément Calenge Marlène Gamelon Fabrice Girard Olivier Melac Charlette Chandosne Emmanuelle Richard Sonia Said Eric Baubet
author_facet	Pablo Vajas Clément Calenge Marlène Gamelon Fabrice Girard Olivier Melac Charlette Chandosne Emmanuelle Richard Sonia Said Eric Baubet
author_sort	Pablo Vajas
title	Catch-effort model used as a management tool in exploited populations: Wild boar as a case study
title_short	Catch-effort model used as a management tool in exploited populations: Wild boar as a case study
title_full	Catch-effort model used as a management tool in exploited populations: Wild boar as a case study
title_fullStr	Catch-effort model used as a management tool in exploited populations: Wild boar as a case study
title_full_unstemmed	Catch-effort model used as a management tool in exploited populations: Wild boar as a case study
title_sort	catch-effort model used as a management tool in exploited populations: wild boar as a case study
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e114e3dcee0044c99f838d74055b3f67
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Catch-effort model used as a management tool in exploited populations: Wild boar as a case study

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