FN Archimer Export Format
PT J
TI Extending community trajectory analysis: New metrics and representation
BT 
AF Sturbois, A.
   De Cáceres, M.
   Sánchez-Pinillos, M.
   Schaal, G.
   Gauthier, O.
   Mao, P. Le
   Ponsero, A.
   Desroy, Nicolas
AS 1:1,2,6,7;2:3;3:3,4,5;4:6;5:6;6:7;7:2,8;8:7;
FF 1:;2:;3:;4:;5:;6:;7:;8:PDG-ODE-LITTORAL-LERBN;
C1 Vivarmor Nature, 18 C rue du Sabot, 22440 Ploufragan, France
   Réserve naturelle nationale de la Baie de Saint-Brieuc, site de l’étoile, 22120 Hillion, France
   Joint Research Unit CTFC-AGROTECNIO, Crta. de St. Llorenç de Morunys a Port del Comte, km 2 25280 Solsona, Spain
   Centre for Forest Research, Department of Biological Sciences, Université du Québec à Montréal, Montreal, QC, H3C 3P8, Canada
   Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, E3B 5A3, Canada
   Laboratoire des Sciences de l'Environnement Marin, UMR CNRS 6539, Institut Universitaire Européen de la Mer, Rue Dumont d'Urville, 29280 Plouzané, France
   Ifremer, LER Bretagne Nord, CRESCO, 38 rue du Port Blanc, 35800 Dinard, France
   Saint-Brieuc Agglomération Baie d'Armor, 5 rue du 71ème RI, 22000 Saint-Brieuc, France
C2 VIVARMOR NATURE, FRANCE
   RESERVE NAT BAIE ST BRIEUC, FRANCE
   CTFC-AGROTECNIO, SPAIN
   UNIV QUEBEC (UQAM), CANADA
   UNIV NEW BRUNSWICK, CANADA
   UBO, FRANCE
   IFREMER, FRANCE
   SAINT-BRIEUC AGGLOMERATION BAIE D'ARMOR, FRANCE
SI DINARD
SE PDG-ODE-LITTORAL-LERBN
UM LEMAR
IN WOS Ifremer UPR
   WOS Cotutelle UMR
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 3.512
TC 16
UR https://archimer.ifremer.fr/doc/00666/77775/80186.pdf
LA English
DT Article
DE ;Ecological variability;Impact assessment;Initial state;Community dynamics;Trajectory analysis;Representation tools
AB 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. 
PY 2021
PD JAN
SO Ecological Modelling
SN 0304-3800
PU Elsevier BV
VL 440
UT 000614806200005
DI 10.1016/j.ecolmodel.2020.109400
ID 77775
ER

EF