Relationships among fisheries exploitation, environmental conditions, and ecological indicators across a series of marine ecosystems
|Author(s)||Fu Caihong1, Large Scott2, Knight Ben3, Richardson Anthony J.4, 5, Bundy Alida6, Reygondeau Gabriel7, Boldt Jennifer1, Van Der Meeren Gro I.8, Torres Maria A9, 10, Sobrino Ignacio9, Auber Arnaud11, Travers-Trolet Morgane11, Piroddi Chiara12, Diallo Ibrahima13, Jouffre Didier14, Mendes Hugo15, Borges Maria Fatima15, Lynam Christopher P.16, Coll Marta17, 18, Shannon Lynne J.19, Shin Yunne-Jai17, 18, 19|
|Affiliation(s)||1 : Fisheries & Oceans Canada, Pacific Biol Stn, Nanaimo, BC V9T 6N7, Canada.
2 : NOAA Fisheries, Woods Hole, MA 02543 USA.
3 : Cawthron Inst, Nelson, New Zealand.
4 : CSIRO Marine & Atmospher Res, Ecosci Precinct, Ocean & Atmosphere Flagship, Dutton Pk, Qld 4102, Australia.
5 : Univ Queensland, Sch Math & Phys, Ctr Applicat Nat Resource Math CARM, St Lucia, Qld 4072, Australia.
6 : Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada.
7 : Univ Paris 06, Univ Sorbonne, Lab Oceanog Villefranche Mer LOV, UMR 7093, F-06234 Villefranche Sur Mer, France.
8 : Hjort Ctr Marine Ecosyst Dynam, Inst Marine Res, NO-5817 Bergen, Norway.
9 : IEO, Ctr Oceanog Cadiz, E-11006 Cadiz, Spain.
10 : Swedish Univ Agr Sci, Dept Aquat Resources, Inst Coastal Res, SE-74242 Oregrund, Sweden.
11 : IFREMER, Fisheries Lab, F-62321 Boulogne Sur Mer, France.
12 : Commiss European Communities, Joint Res Ctr, I-21027 Ispra, Italy.
13 : CNSHB, Conakry, Guinea.
14 : IRD, Labep AO IRD IFAN, Dakar, Senegal.
15 : IPMA, P-1449006 Lisbon, Portugal.
16 : Cefas, Lowestoft Lab, Lowestoft NR33 0HT, Suffolk, England.
17 : IRD, CRH, Res Unit EME UMR 212, F-34203 Sete, France.
18 : IRD, CRH, Res Unit MARBEC UMR 9190, F-34203 Sete, France.
19 : Univ Cape Town, Dept Biol Sci, Ma Re Marine Res Inst, ZA-7701 Cape Town, South Africa.
|Source||Journal Of Marine Systems (0924-7963) (Elsevier Science Bv), 2015-08 , Vol. 148 , P. 101-111|
|WOS© Times Cited||37|
|Keyword(s)||Ecological indicators, Environmental conditions, Fisheries exploitation, Marine ecosystems, Partial least squares path modeling|
|Abstract||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.|