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Extending community trajectory analysis: New metrics and representation

Authors :
Nicolas Desroy
Martina Sánchez-Pinillos
M. De Cáceres
P. Le Mao
Gauthier Schaal
A. Ponsero
A. Sturbois
Olivier Gauthier
VivArmor Nature
Réserve Naturelle Nationale Baie St-Brieuc
Réserves Naturelles de France-Réserves Naturelles de France
Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR)
Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Environnement Ressource Bretagne Nord (LERBN)
LITTORAL (LITTORAL)
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)
Joint Research Unit CTFC – AGROTECNIO, Solsona, Spain
Centre for Forest Research (CEF)
Department of Chemistry, University of Québec in Montréal
Faculty of Forestry and Environmental Management
University of New Brunswick (UNB)
Centre De Recherche et d'Enseignement sur les Systèmes Côtiers (CRESCO)
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Source :
Ecological Modelling (0304-3800) (Elsevier BV), 2021-01, Vol. 440, P. 109400 (15p.), Ecological Modelling, Ecological Modelling, 2021, 440, pp.109400. ⟨10.1016/j.ecolmodel.2020.109400⟩, Ecological Modelling, Elsevier, 2021, 440, pp.109400. ⟨10.1016/j.ecolmodel.2020.109400⟩
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

WOS:000614806200005; Ecological research focuses on the spatio-temporal patterns of ecosystems and communities. The recently proposed framework of Community Trajectory Analysis considers community dynamics as trajectories in a chosen space of community resemblance and utilizes geometrical properties of trajectories to compare and analyse temporal changes. Here, we extend the initial framework, which focused on consecutive trajectory segments, by considering additional metrics with respect to initial or baseline states. Addressing questions about community dynamics and more generally temporal and spatial ecological variability requires synthetic and efficient modes of representation. Hence, we propose a set of innovative maps, charts and trajectory roses to represent trajectory properties and complement the panel of traditional modes of representation used in community ecology. We use four case studies to highlight the complementarity and the ability of the new metrics and innovative figures to illustrate ecological trajectories and to facilitate their interpretation. Finally, we encourage ecologists skilled in multivariate analysis to integrate CTA into their toolbox in order to quantitatively evaluate spatio-temporal changes.

Details

Language :
English
ISSN :
03043800
Database :
OpenAIRE
Journal :
Ecological Modelling (0304-3800) (Elsevier BV), 2021-01, Vol. 440, P. 109400 (15p.), Ecological Modelling, Ecological Modelling, 2021, 440, pp.109400. ⟨10.1016/j.ecolmodel.2020.109400⟩, Ecological Modelling, Elsevier, 2021, 440, pp.109400. ⟨10.1016/j.ecolmodel.2020.109400⟩
Accession number :
edsair.doi.dedup.....ece56eb153e6ac1418e19929d447ea1d