FN Archimer Export Format PT J TI Relationships among fisheries exploitation, environmental conditions, and ecological indicators across a series of marine ecosystems BT AF FU, Caihong LARGE, Scott KNIGHT, Ben RICHARDSON, Anthony J. BUNDY, Alida REYGONDEAU, Gabriel BOLDT, Jennifer VAN DER MEEREN, Gro I. TORRES, Maria A SOBRINO, Ignacio AUBER, Arnaud TRAVERS-TROLET, Morgane PIRODDI, Chiara DIALLO, Ibrahima JOUFFRE, Didier MENDES, Hugo BORGES, Maria Fatima LYNAM, Christopher P. COLL, Marta SHANNON, Lynne J. SHIN, Yunne-Jai AS 1:1;2:2;3:3;4:4,5;5:6;6:7;7:1;8:8;9:9,10;10:9;11:11;12:11;13:12;14:13;15:14;16:15;17:15;18:16;19:17,18;20:19;21:17,18,19; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:PDG-RBE-HMMN-RHBL;12:PDG-RBE-HMMN-RHBL;13:;14:;15:;16:;17:;18:;19:;20:;21:; C1 Fisheries & Oceans Canada, Pacific Biol Stn, Nanaimo, BC V9T 6N7, Canada. NOAA Fisheries, Woods Hole, MA 02543 USA. Cawthron Inst, Nelson, New Zealand. CSIRO Marine & Atmospher Res, Ecosci Precinct, Ocean & Atmosphere Flagship, Dutton Pk, Qld 4102, Australia. Univ Queensland, Sch Math & Phys, Ctr Applicat Nat Resource Math CARM, St Lucia, Qld 4072, Australia. Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada. Univ Paris 06, Univ Sorbonne, Lab Oceanog Villefranche Mer LOV, UMR 7093, F-06234 Villefranche Sur Mer, France. Hjort Ctr Marine Ecosyst Dynam, Inst Marine Res, NO-5817 Bergen, Norway. IEO, Ctr Oceanog Cadiz, E-11006 Cadiz, Spain. Swedish Univ Agr Sci, Dept Aquat Resources, Inst Coastal Res, SE-74242 Oregrund, Sweden. IFREMER, Fisheries Lab, F-62321 Boulogne Sur Mer, France. Commiss European Communities, Joint Res Ctr, I-21027 Ispra, Italy. CNSHB, Conakry, Guinea. IRD, Labep AO IRD IFAN, Dakar, Senegal. IPMA, P-1449006 Lisbon, Portugal. Cefas, Lowestoft Lab, Lowestoft NR33 0HT, Suffolk, England. IRD, CRH, Res Unit EME UMR 212, F-34203 Sete, France. IRD, CRH, Res Unit MARBEC UMR 9190, F-34203 Sete, France. Univ Cape Town, Dept Biol Sci, Ma Re Marine Res Inst, ZA-7701 Cape Town, South Africa. C2 MPO, CANADA NOAA, USA CAWTHRON INST, NEW ZEALAND CSIRO, AUSTRALIA UNIV QUEENSLAND, AUSTRALIA MPO, CANADA UNIV PARIS 06, FRANCE IMR, NORWAY IEO, SPAIN UNIV UPPSALA, SWEDEN IFREMER, FRANCE JRC, ITALY CNSHB, GUINEA IRD, SENEGAL IPMA, PORTUGAL CEFAS, UK IRD, FRANCE IRD, FRANCE UNIV CAPE TOWN, SOUTH AFRICA SI BOULOGNE SE PDG-RBE-HMMN-RHBL UM MARBEC IN WOS Ifremer jusqu'en 2018 copubli-france copubli-p187 copubli-europe copubli-univ-france copubli-int-hors-europe copubli-sud IF 2.174 TC 38 UR https://archimer.ifremer.fr/doc/00250/36155/34710.pdf LA English DT Article CR CGFS 89 CGFS 90 CGFS 91 CGFS 92 CGFS 93 CGFS 94 CGFS 95 CGFS 96 CGFS 97 CGFS 98 CGFS 99 CGFS2000 CGFS2001 CGFS2002 CGFS2003 CGFS2004 CGFS2005 CGFS2006 CGFS2007 CGFS2008 CGFS2009 CGFS2010 BO Gwen Drez DE ;Ecological indicators;Environmental conditions;Fisheries exploitation;Marine ecosystems;Partial least squares path modeling AB Understanding how external pressures impact ecosystem structure and functioning is essential for ecosystem-based approaches to fisheries management. We quantified the relative effects of fisheries exploitation and environmental conditions on ecological indicators derived from two different data sources, fisheries catch data (catch-based) and fisheries independent survey data (survey-based) for 12 marine ecosystems using a partial least squares path modeling approach (PLS-PM). We linked these ecological indicators to the total biomass of the ecosystem. Although the effects of exploitation and environmental conditions differed across the ecosystems, some general results can be drawn from the comparative approach. Interestingly, the PLS-PM analyses showed that survey-based indicators were less tightly associated with each other than the catch-based ones. The analyses also showed that the effects of environmental conditions on the ecological indicators were predominantly significant, and tended to be negative, suggesting that in the recent period, indicators accounted for changes in environmental conditions and the changes were more likely to be adverse. Total biomass was associated with fisheries exploitation and environmental conditions; however its association with the ecological indicators was weak across the ecosystems. Knowledge of the relative influence of exploitation and environmental pressures on the dynamics within exploited ecosystems will help us to move towards ecosystem-based approaches to fisheries management. PLS-PM proved to be a useful approach to quantify the relative effects of fisheries exploitation and environmental conditions and suggest it could be used more widely in fisheries oceanography. PY 2015 PD AUG SO Journal Of Marine Systems SN 0924-7963 PU Elsevier Science Bv VL 148 UT 000356546400009 BP 101 EP 111 DI 10.1016/j.jmarsys.2015.01.004 ID 36155 ER EF