Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis

We propose here some refinements of the ecological-niche factor analysis (ENFA) to describe precisely one organism’s habitat selection. The ENFA is based on the concept of the ecological niche, and provides a measure of the realised niche within the available space from the computation of two parame...

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Main Authors: Basille, Mathieu, Calenge, Clément, Marboutin, Éric, Andersen, Reidar, Gaillard, Jean-Michel
Format: Article in Journal/Newspaper
Language:unknown
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Online Access:http://www.sciencedirect.com/science/article/pii/S0304380007004577
id ftrepec:oai:RePEc:eee:ecomod:v:211:y:2008:i:1:p:233-240
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spelling ftrepec:oai:RePEc:eee:ecomod:v:211:y:2008:i:1:p:233-240 2024-04-14T08:20:59+00:00 Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis Basille, Mathieu Calenge, Clément Marboutin, Éric Andersen, Reidar Gaillard, Jean-Michel http://www.sciencedirect.com/science/article/pii/S0304380007004577 unknown http://www.sciencedirect.com/science/article/pii/S0304380007004577 article ftrepec 2024-03-19T10:30:14Z We propose here some refinements of the ecological-niche factor analysis (ENFA) to describe precisely one organism’s habitat selection. The ENFA is based on the concept of the ecological niche, and provides a measure of the realised niche within the available space from the computation of two parameters, the marginality and the specialization. By measuring the departure of the ecological niche from the average available habitat, the marginality identifies the preference of the individual, population, or species for specific conditions of the environment among the whole set of possibilities. The specialization appears as a consequence of the narrowness of the niche on some environmental variables. The ENFA is a factorial analysis that extracts one axis of marginality and several axes of specialization. We present here the use of biplots (i.e., the projection of both the pixels of the map and the environmental variables in the subspace extracted by the ENFA) as a way to identify the key-variables for management, assessing which habitat features are of prime importance and should be preserved or reinforced. With the help of this tool, we are now able to describe much more precisely the habitat selection of the organism under focus. In our application to the lynx in the Vosges mountains, based on sightings as well as other indices of lynx presence, we thus underlined a strong avoidance of agricultural areas by the lynx. We also highlighted the relative indifference of the lynx to the proximity of artificial areas and at the opposite, the sensitivity to the proximity of highways. The ENFA provides a suitable way to measure habitat use/selection under a large range of ecological contexts and should be used to define precisely the ecological niche and therefore identify the characteristics searched for by the organism under study. Biplot; ENFA; Lynx; Lynx lynx; Marginality; Presence-only data; Specialization; Vosges mountains; Article in Journal/Newspaper Lynx Lynx lynx lynx RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description We propose here some refinements of the ecological-niche factor analysis (ENFA) to describe precisely one organism’s habitat selection. The ENFA is based on the concept of the ecological niche, and provides a measure of the realised niche within the available space from the computation of two parameters, the marginality and the specialization. By measuring the departure of the ecological niche from the average available habitat, the marginality identifies the preference of the individual, population, or species for specific conditions of the environment among the whole set of possibilities. The specialization appears as a consequence of the narrowness of the niche on some environmental variables. The ENFA is a factorial analysis that extracts one axis of marginality and several axes of specialization. We present here the use of biplots (i.e., the projection of both the pixels of the map and the environmental variables in the subspace extracted by the ENFA) as a way to identify the key-variables for management, assessing which habitat features are of prime importance and should be preserved or reinforced. With the help of this tool, we are now able to describe much more precisely the habitat selection of the organism under focus. In our application to the lynx in the Vosges mountains, based on sightings as well as other indices of lynx presence, we thus underlined a strong avoidance of agricultural areas by the lynx. We also highlighted the relative indifference of the lynx to the proximity of artificial areas and at the opposite, the sensitivity to the proximity of highways. The ENFA provides a suitable way to measure habitat use/selection under a large range of ecological contexts and should be used to define precisely the ecological niche and therefore identify the characteristics searched for by the organism under study. Biplot; ENFA; Lynx; Lynx lynx; Marginality; Presence-only data; Specialization; Vosges mountains;
format Article in Journal/Newspaper
author Basille, Mathieu
Calenge, Clément
Marboutin, Éric
Andersen, Reidar
Gaillard, Jean-Michel
spellingShingle Basille, Mathieu
Calenge, Clément
Marboutin, Éric
Andersen, Reidar
Gaillard, Jean-Michel
Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis
author_facet Basille, Mathieu
Calenge, Clément
Marboutin, Éric
Andersen, Reidar
Gaillard, Jean-Michel
author_sort Basille, Mathieu
title Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis
title_short Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis
title_full Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis
title_fullStr Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis
title_full_unstemmed Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis
title_sort assessing habitat selection using multivariate statistics: some refinements of the ecological-niche factor analysis
url http://www.sciencedirect.com/science/article/pii/S0304380007004577
genre Lynx
Lynx lynx lynx
genre_facet Lynx
Lynx lynx lynx
op_relation http://www.sciencedirect.com/science/article/pii/S0304380007004577
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