Within outlying mean indexes: refining the OMI analysis for the realized niche decomposition

UMR 8187 LOG (Laboratoire d’Océanologie et Géosciences), Université des Sciences et Technologies de Lille (Lille I), CNRS, ULCO, Wimereux, Nord-Pas-de-Calais, France
UMR 5023, LEHNA (Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés) , Biodiversité et Plasticité dans les Hydrosystèmes, Université Claude Bernard (Lyon I), Villeurbanne, Rhône, France
DOI
10.7287/peerj.preprints.2810v1
Subject Areas
Ecology, Statistics
Keywords
biological constraint, niche dynamic, marginality, community, spatio-temporal, subniche, climate change, habitat
Copyright
© 2017 Karasiewicz et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Karasiewicz S, Dolédec S, Lefebvre S. 2017. Within outlying mean indexes: refining the OMI analysis for the realized niche decomposition. PeerJ Preprints 5:e2810v1

Abstract

The ecological niche concept has a revival interest under climate change, especially to study its impact on niche shift and/or conservatism. Here, we propose the Within Outlying Mean Indexes (WitOMI), which refines the Outlying Mean Index (OMI) analysis by using its properties in combination with the K-select analysis species marginality decomposition. The purpose is to decompose the ecological niche, into subniches associated to the experimental design, i.e. taking into account temporal or spatial subsets. WitOMI emphasizes the habitat conditions that contribute 1) to the definition of species’ niches using all available conditions and, at the same time, 2) to the delineation of species’ subniches according to given subsets of dates or sites. This latter aspect allows addressing niche dynamics by highlighting the influence of atypical habitat conditions on species at a given time or space. 3) Then, the biological constraint exerted on the species subniche becomes observable within the Euclidean space as the difference between the potential subniche and the realized subniche. We illustrate the decomposition of published OMI analysis, using spatial and temporal examples. The species assemblage’s subniches are comparable to the same environmental gradient, producing a more accurate and precise description of the assemblage niche distribution under climate change.

Author Comment

This is a submission to PeerJ for review.