TY - JOUR T1 - Extending community trajectory analysis: New metrics and representation A1 - Sturbois,A. A1 - de Cáceres,M. A1 - Sánchez-Pinillos,M. A1 - Schaal,G. A1 - Gauthier,O. A1 - Mao,P. Le A1 - Ponsero,A. A1 - Desroy,Nicolas AD - Vivarmor Nature, 18 C rue du Sabot, 22440 Ploufragan, France AD - Réserve naturelle nationale de la Baie de Saint-Brieuc, site de l’étoile, 22120 Hillion, France AD - Joint Research Unit CTFC-AGROTECNIO, Crta. de St. Llorenç de Morunys a Port del Comte, km 2 25280 Solsona, Spain AD - Centre for Forest Research, Department of Biological Sciences, Université du Québec à Montréal, Montreal, QC, H3C 3P8, Canada AD - Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, E3B 5A3, Canada AD - Laboratoire des Sciences de l'Environnement Marin, UMR CNRS 6539, Institut Universitaire Européen de la Mer, Rue Dumont d'Urville, 29280 Plouzané, France AD - Ifremer, LER Bretagne Nord, CRESCO, 38 rue du Port Blanc, 35800 Dinard, France AD - Saint-Brieuc Agglomération Baie d'Armor, 5 rue du 71ème RI, 22000 Saint-Brieuc, France UR - https://doi.org/10.1016/j.ecolmodel.2020.109400 DO - 10.1016/j.ecolmodel.2020.109400 KW - Ecological variability KW - Impact assessment KW - Initial state KW - Community dynamics KW - Trajectory analysis KW - Representation tools N2 - 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. Y1 - 2021/01 PB - Elsevier BV JF - Ecological Modelling SN - 0304-3800 VL - 440 ID - 77775 ER -