The α-minimum convex polygon as a relevant tool for isotopic niche statistics

Ecological (isotopic) niche refers to a surface in a two-dimensional space, where the axes correspond to environmental variables that reflect values of stable isotopes incorporated in an animal's tissues. Carbon and nitrogen stable isotope ratios (δ13C-δ15N) notably provide precious information...

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Autores principales:	Pauline Fey, Yves Letourneur, Silvère Bonnabel
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Minimum convex polygon Non-parametric statistics Niche overlap Stable isotope analysis Trophic niche Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/3af7dc0b30144bc9ade435a92407096e
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spelling	oai:doaj.org-article:3af7dc0b30144bc9ade435a92407096e2021-12-01T04:58:27ZThe α-minimum convex polygon as a relevant tool for isotopic niche statistics1470-160X10.1016/j.ecolind.2021.108048https://doaj.org/article/3af7dc0b30144bc9ade435a92407096e2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007135https://doaj.org/toc/1470-160XEcological (isotopic) niche refers to a surface in a two-dimensional space, where the axes correspond to environmental variables that reflect values of stable isotopes incorporated in an animal's tissues. Carbon and nitrogen stable isotope ratios (δ13C-δ15N) notably provide precious information about trophic ecology, resource and habitat use, and population dynamics. Various metrics allow for isotopic niche size and overlap assessment. In this paper, we advocate α-minimum convex polygons (MCP) - that have long been used for home range estimation – as a relevant tool for isotopic niche size, overlap, and characteristics. The method allows for outlier rejection while being suited to data that are not Gaussian in the bivariate isotopic (δ13C-δ15N) space. The proposed indicators are compared to other existing approaches and are shown to be complementary. Notably an indicator of divergence within the niche is introduced, and allows for comparisons at low (n > 6) and different sample sizes. The R code is made publicly available and will enable ecologists to perform isotopic niche comparison, contraction and expansion assessment, and overlap, based on various methods.Pauline FeyYves LetourneurSilvère BonnabelElsevierarticleMinimum convex polygonNon-parametric statisticsNiche overlapStable isotope analysisTrophic nicheEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108048- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Minimum convex polygon Non-parametric statistics Niche overlap Stable isotope analysis Trophic niche Ecology QH540-549.5
spellingShingle	Minimum convex polygon Non-parametric statistics Niche overlap Stable isotope analysis Trophic niche Ecology QH540-549.5 Pauline Fey Yves Letourneur Silvère Bonnabel The α-minimum convex polygon as a relevant tool for isotopic niche statistics
description	Ecological (isotopic) niche refers to a surface in a two-dimensional space, where the axes correspond to environmental variables that reflect values of stable isotopes incorporated in an animal's tissues. Carbon and nitrogen stable isotope ratios (δ13C-δ15N) notably provide precious information about trophic ecology, resource and habitat use, and population dynamics. Various metrics allow for isotopic niche size and overlap assessment. In this paper, we advocate α-minimum convex polygons (MCP) - that have long been used for home range estimation – as a relevant tool for isotopic niche size, overlap, and characteristics. The method allows for outlier rejection while being suited to data that are not Gaussian in the bivariate isotopic (δ13C-δ15N) space. The proposed indicators are compared to other existing approaches and are shown to be complementary. Notably an indicator of divergence within the niche is introduced, and allows for comparisons at low (n > 6) and different sample sizes. The R code is made publicly available and will enable ecologists to perform isotopic niche comparison, contraction and expansion assessment, and overlap, based on various methods.
format	article
author	Pauline Fey Yves Letourneur Silvère Bonnabel
author_facet	Pauline Fey Yves Letourneur Silvère Bonnabel
author_sort	Pauline Fey
title	The α-minimum convex polygon as a relevant tool for isotopic niche statistics
title_short	The α-minimum convex polygon as a relevant tool for isotopic niche statistics
title_full	The α-minimum convex polygon as a relevant tool for isotopic niche statistics
title_fullStr	The α-minimum convex polygon as a relevant tool for isotopic niche statistics
title_full_unstemmed	The α-minimum convex polygon as a relevant tool for isotopic niche statistics
title_sort	α-minimum convex polygon as a relevant tool for isotopic niche statistics
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3af7dc0b30144bc9ade435a92407096e
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The α-minimum convex polygon as a relevant tool for isotopic niche statistics

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