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The Spatial Distribution of Mustelidae in France

We estimated the spatial distribution of 6 Mustelidae species in France using the data collected by the French national hunting and wildlife agency under the “small carnivorous species logbooks” program. The 1500 national wildlife protection officers working for this agency spend 80% of their workin...

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Autores principales: Calenge, Clément, Chadoeuf, Joël, Giraud, Christophe, Huet, Sylvie, Julliard, Romain, Monestiez, Pascal, Piffady, Jérémy, Pinaud, David, Ruette, Sandrine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374970/
https://www.ncbi.nlm.nih.gov/pubmed/25811456
http://dx.doi.org/10.1371/journal.pone.0121689
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author Calenge, Clément
Chadoeuf, Joël
Giraud, Christophe
Huet, Sylvie
Julliard, Romain
Monestiez, Pascal
Piffady, Jérémy
Pinaud, David
Ruette, Sandrine
author_facet Calenge, Clément
Chadoeuf, Joël
Giraud, Christophe
Huet, Sylvie
Julliard, Romain
Monestiez, Pascal
Piffady, Jérémy
Pinaud, David
Ruette, Sandrine
author_sort Calenge, Clément
collection PubMed
description We estimated the spatial distribution of 6 Mustelidae species in France using the data collected by the French national hunting and wildlife agency under the “small carnivorous species logbooks” program. The 1500 national wildlife protection officers working for this agency spend 80% of their working time traveling in the spatial area in which they have authority. During their travels, they occasionally detect dead or living small and medium size carnivorous animals. Between 2002 and 2005, each car operated by this agency was equipped with a logbook in which officers recorded information about the detected animals (species, location, dead or alive, date). Thus, more than 30000 dead or living animals were detected during the study period. Because a large number of detected animals in a region could have been the result of a high sampling pressure there, we modeled the number of detected animals as a function of the sampling effort to allow for unbiased estimation of the species density. For dead animals -- mostly roadkill -- we supposed that the effort in a given region was proportional to the distance traveled by the officers. For living animals, we had no way to measure the sampling effort. We demonstrated that it was possible to use the whole dataset (dead and living animals) to estimate the following: (i) the relative density -- i.e., the density multiplied by an unknown constant -- of each species of interest across the different French agricultural regions, (ii) the sampling effort for living animals for each region, and (iii) the relative detection probability for various species of interest.
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spelling pubmed-43749702015-04-04 The Spatial Distribution of Mustelidae in France Calenge, Clément Chadoeuf, Joël Giraud, Christophe Huet, Sylvie Julliard, Romain Monestiez, Pascal Piffady, Jérémy Pinaud, David Ruette, Sandrine PLoS One Research Article We estimated the spatial distribution of 6 Mustelidae species in France using the data collected by the French national hunting and wildlife agency under the “small carnivorous species logbooks” program. The 1500 national wildlife protection officers working for this agency spend 80% of their working time traveling in the spatial area in which they have authority. During their travels, they occasionally detect dead or living small and medium size carnivorous animals. Between 2002 and 2005, each car operated by this agency was equipped with a logbook in which officers recorded information about the detected animals (species, location, dead or alive, date). Thus, more than 30000 dead or living animals were detected during the study period. Because a large number of detected animals in a region could have been the result of a high sampling pressure there, we modeled the number of detected animals as a function of the sampling effort to allow for unbiased estimation of the species density. For dead animals -- mostly roadkill -- we supposed that the effort in a given region was proportional to the distance traveled by the officers. For living animals, we had no way to measure the sampling effort. We demonstrated that it was possible to use the whole dataset (dead and living animals) to estimate the following: (i) the relative density -- i.e., the density multiplied by an unknown constant -- of each species of interest across the different French agricultural regions, (ii) the sampling effort for living animals for each region, and (iii) the relative detection probability for various species of interest. Public Library of Science 2015-03-26 /pmc/articles/PMC4374970/ /pubmed/25811456 http://dx.doi.org/10.1371/journal.pone.0121689 Text en © 2015 Calenge et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Calenge, Clément
Chadoeuf, Joël
Giraud, Christophe
Huet, Sylvie
Julliard, Romain
Monestiez, Pascal
Piffady, Jérémy
Pinaud, David
Ruette, Sandrine
The Spatial Distribution of Mustelidae in France
title The Spatial Distribution of Mustelidae in France
title_full The Spatial Distribution of Mustelidae in France
title_fullStr The Spatial Distribution of Mustelidae in France
title_full_unstemmed The Spatial Distribution of Mustelidae in France
title_short The Spatial Distribution of Mustelidae in France
title_sort spatial distribution of mustelidae in france
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374970/
https://www.ncbi.nlm.nih.gov/pubmed/25811456
http://dx.doi.org/10.1371/journal.pone.0121689
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