1. Extending community trajectory analysis: New metrics and representation
- Author
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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), and 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)
- Subjects
0106 biological sciences ,Initial state ,Computer science ,Impact assessment ,Trajectory analysis ,Space (commercial competition) ,Machine learning ,computer.software_genre ,010603 evolutionary biology ,01 natural sciences ,Ecological variability ,EU-FEAMP 621-B ,Baseline (configuration management) ,Set (psychology) ,UBO ,Community dynamics ,Complement (set theory) ,business.industry ,010604 marine biology & hydrobiology ,Ecological Modeling ,ACL ,Representation (systemics) ,15. Life on land ,Toolbox ,Complementarity (molecular biology) ,DISCOVERY ,Trajectory ,Artificial intelligence ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,business ,computer ,Representation tools - 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.
- Published
- 2021