FN Archimer Export Format
PT J
TI There's no harm in having too much: A comprehensive toolbox of methods in trophic ecology
BT 
AF Majdi, Nabil
   Hette-Tronquart, Nicolas
   Auclair, Etienne
   Bec, Alexandre
   Chouvelon, Tiphaine
   Cognie, Bruno
   Danger, Michael
   Decottignies, Priscilla
   Dessier, Aurélie
   Desvilettes, Christian
   Dubois, Stanislas
   Dupuy, Christine
   Fritsch, Clémentine
   Gaucherel, Cédric
   Hedde, Mickaël
   Jabot, Franck
   Lefebvre, Sebastien
   Marzloff, Martin
   Pey, Benjamin
   Peyrard, Nathalie
   Powolny, Thibaut
   Sabbadin, Régis
   Thébault, Elisa
   Perga, Marie-Elodie
AS 1:1,2,3;2:1,4;3:1,5;4:1,6;5:1,7;6:1,9;7:1,8;8:1,9;9:1,10;10:1,6;11:1,11;12:1,10;13:1,12;14:1,13;15:1,14;16:1,15;17:1,16,17;18:1,11;19:1,3;20:1,5;21:1,12;22:1,5;23:1,18;24:1,19;
FF 1:;2:;3:;4:;5:PDG-RBE-BE-LBCM;6:;7:;8:;9:;10:;11:PDG-ODE-DYNECO-LEBCO;12:;13:;14:;15:;16:;17:;18:PDG-ODE-DYNECO-LEBCO;19:;20:;21:;22:;23:;24:;
C1 GRET (Groupe de Recherche en Ecologie Trophique), GDR 3716 CNRS INEE INRA, France
   Universität Bielefeld, Abteilung Tierökologie, Konsequenz 45, 33615 Bielefeld, Germany
   Université de Toulouse, EcoLab, UMR 5245 CNRS, INP, UPS, ENSAT, 118 route de Narbonne, 31062 Toulouse, France
   Irstea, UR HYCAR, 1 rue Pierre Gilles-de-Gennes, 92160 Antony, France
   INRA – MIAT, UR 875, INRA, 24, Chemin de Borde Rouge, 31320 Castanet-Tolosan, France
   Université Clermont Auvergne, CNRS, LMGE, 1 impasse Amélie Murat, 63178 Aubière, France
   IFREMER – BE, LBCM, Centre Atlantique, rue de l'île d'Yeu, 44311 Nantes, France
   Université de Lorraine, LIEC, UMR 7360 CNRS, rue Claude Bernard, 57070 Metz, France
   Université de Nantes, IUML Mer-Molécules-Santé (MMS), UMR 3473 CNRS, 2 rue de la Houssinière, 44322 Nantes, France
   Université de La Rochelle, LIENSs, UMR 7266 CNRS, 2 rue Olympe de Gouges, 17000 La Rochelle, France
   IFREMER – DYNECO, LEBCO, Centre de Bretagne, CS 10070, 29 280 Plouzané, France
   Université Bourgogne Franche-Comté, Chrono-environnement, UMR 6249 CNRS, INRA, 16 route de Gray, 25030 Besançon, France
   Université Montpellier, AMAP - INRA, CIRAD, CNRS, IRD, Montpellier, France
   INRA – Eco&Sols, UMR 1222, 2 Place Viala, 34060 Montpellier, France
   Irstea, UR LISC, Campus des Cézeaux, 9 avenue Blaise Pascal, 63178 Aubière, France
   Université de Lille, LOG, UMR 8187 CNRS, ULCO, 28 Avenue Foch, 62930 Wimereux, France
   IFREMER – Laboratoire Ressources Halieutiques, 150 Quai Gambetta, 62321 Boulogne-sur-mer, France
   Université Pierre et Marie Curie, Institute of Ecology and Environmental Sciences, CNRS, Sorbonne Universités, Paris, France
   University of Lausanne, Institute of Earth surface Dynamics, Lausanne, Switzerland
C2 GRET, FRANCE
   UNIV BIELEFELD, GERMANY
   UNIV TOULOUSE, FRANCE
   IRSTEA, FRANCE
   INRA, FRANCE
   UNIV CLERMONT AUVERGNE, FRANCE
   IFREMER, FRANCE
   UNIV LORRAINE, FRANCE
   UNIV NANTES, FRANCE
   UNIV LA ROCHELLE, FRANCE
   IFREMER, FRANCE
   UNIV BOURGOGNE FRANCHE COMTE, FRANCE
   UNIV MONTPELLIER, FRANCE
   INRA, FRANCE
   IRSTEA, FRANCE
   UNIV LILLE, FRANCE
   IFREMER, FRANCE
   UNIV PARIS 06, FRANCE
   UNIV LAUSANNE, SWITZERLAND
SI NANTES
   BREST
SE PDG-RBE-BE-LBCM
   PDG-ODE-DYNECO-LEBCO
IF 2.2
TC 0
UR https://archimer.ifremer.fr/doc/00487/59834/65986.pdf
LA English
DT Article
DE ;Food web;Feeding interactions;Flux of energy;Computer simulations;Trophic models
AB Trophic ecology is the study of feeding interactions and food acquisition by organisms. It includes the causes and consequences of those behaviours at all levels of biological organisation. As a field of research, it crosses many disciplinary boundaries and provides knowledge that is pertinent to many other areas of ecology. Here we list and categorise the methods available to trophic ecologists whose toolbox has broadened considerably in recent years. They encompass empirical and numerical approaches with focus ranging from molecules to ecosystems. We further examine the relationship of each method to features such as the scale of observation (from microbes to largest organisms) and organisational level (from individuals to ecosystems) as well as the ecological question the method is capable of answering (from detecting predator-prey relationships to studying implications and consequences at different scales). Our survey reveals a very wide range of methodologies, each more-or-less appropriate for a particular line of research. It also identifies deficits, for example, trophic interactions at microscopic scales, for which empirical methods have hardly been used, as well as trophic models that have failed to consider fluxes at the ecosystem scale. Furthermore, we note that the combination of methodologies remains under-exploited despite great opportunities to solve complex ecological questions and to foster the emergence of new insights and hypotheses regarding organism, population and/or ecosystem properties. 
PY 2018
PD DEC
SO Food Webs
SN 2352-2496
PU Elsevier BV
VL 17
DI 10.1016/j.fooweb.2018.e00100
ID 59834
ER

EF