Risky business: The combined effects of fishing and changes in primary productivity on fish communities

Type Article
Date 2018-01
Language English
Author(s) Fu Caihong1, Travers-Trolet MorganeORCID2, Velez Laure3, 4, Gruss Arnaud5, 6, 7, Bundy Alida8, Shannon Lynne J.9, 10, Fulton Elizabeth A.11, 12, Akoglu Ekin13, 14, Houle Jennifer E.15, Coll Marta3, 4, 9, 10, 16, Verley Philippe3, 4, Heymans Johanna J.17, John Emma18, Shin Yunne-Jai3, 4, 9, 10
Affiliation(s) 1 : Fisheries & Oceans Canada, Pacific Biol Stn, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada.
2 : IFREMER, Fisheries Lab, Boulogne, France.
3 : Inst Rech Dev, MARBEC, Ctr Rech Halieut Meiditerraneienne & Trop, UMR 248, Ave Jean Monnet,CS 30171, F-34203 Sete, France.
4 : Univ Montpellier, Pl Eugene Bataillon,CC093,Batiment 24, F-34095 Montpellier 5, France.
5 : Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Dept Marine Biol & Ecol, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
6 : Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Cooperat Inst Marine & Atmospher Studies, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
7 : Southeast Fisheries Sci Ctr, Sustainable Fisheries Div, 75 Virginia Beach Dr, Miami, FL 33149 USA.
8 : Fisheries & Oceans Canada, Bedford Inst Oceanog, POB 1006, Dartmouth, NS B2Y 4A2, Canada.
9 : Univ Cape Town, Marine Res MA RE Inst, Private Bag X3, ZA-7701 Rondebosch, South Africa.
10 : Univ Cape Town, Dept Biol Sci, Private Bag X3, ZA-7701 Rondebosch, South Africa.
11 : CSIRO Oceans & Atmosphere, Hobart, Tas 7001, Australia.
12 : Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas 7001, Australia.
13 : Middle Tech Univ, Inst Marine Sci, TR-33731 Erdemli, Mersin, Turkey.
14 : OGS Ist Nazl Oceanog & Geofis Sperimentale, Borgo Grotto Gigante 42-C, I-34010 Sgonico, TS, Italy.
15 : Queens Univ Belfast, Sch Biol Sci, 97 Lisburn Rd, Belfast BT9 7BL, Antrim, North Ireland.
16 : Ecopath Int Initiat Res Assoc, Barcelona, Spain.
17 : Scottish Marine Inst, Scottish Assoc Marine Sci, Oban PA37 1QA, Argyll, Scotland.
18 : Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2TH, S Yorkshire, England.
Source Ecological Modelling (0304-3800) (Elsevier Science Bv), 2018-01 , Vol. 368 , P. 265-276
DOI 10.1016/j.ecolmodel.2017.12.003
WOS© Times Cited 46
Keyword(s) Marine ecosystem, Fishing, Combined effect, Meta-analysis, Synergism, Multiple drivers
Abstract

There is an increasing need to understand community-level or whole-ecosystem responses to multiple stressors since the impacts of multiple stressors on marine systems depend not only on species- level responses, but also on species interactions and ecosystem structure. In this study, we used a multi-model ecosystem simulation approach to explore the combined effects of fishing and primary productivity on different components of the food-web across a suite of ecosystems and a range of model types. Simulations were carried out under different levels of primary productivity and various fishing scenarios (targeting different trophic levels). Previous work exploring the effects of multiple stressors often assumed that the combined effects of stressors are additive, synergistic or antagonis- tic. In this study, we included a fourth category “dampened”, which refers to less negative or to less positive impacts on a given ecosystem component compared to additive effects, and in contrast to pre- vious studies, we explicitly considered the direction of the combined effects (positive or negative). We focused on two specific combined effects (negative synergism and positive dampened) associ- ated with the ecological risk of resultant lower fish biomass than expected under additive effects. Through a meta-analysis of the multi-models’ simulation results, we found that (i) the risk of negative synergism was generally higher for low-trophic-level (LTL) taxa, implying that following an increase of fishing pressure on a given LTL stock, the subsequent decrease of biomass under low primary productivity would be higher than expected when fishing is the sole driver and (ii) the risk of pos- itive dampened effects was generally higher for high-trophic-level (HTL) taxa, implying that given a management measure aimed at reducing the impact of fishing on HTL stocks, the subsequent rebuild- ing of these stocks would be slower than expected if only fishing were considered. Our approach to categorizing and exploring cumulative risk can be applied to evaluate other community properties and indicators and our findings could provide guidance in fisheries management.

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How to cite 

Fu Caihong, Travers-Trolet Morgane, Velez Laure, Gruss Arnaud, Bundy Alida, Shannon Lynne J., Fulton Elizabeth A., Akoglu Ekin, Houle Jennifer E., Coll Marta, Verley Philippe, Heymans Johanna J., John Emma, Shin Yunne-Jai (2018). Risky business: The combined effects of fishing and changes in primary productivity on fish communities. Ecological Modelling, 368, 265-276. Publisher's official version : https://doi.org/10.1016/j.ecolmodel.2017.12.003 , Open Access version : https://archimer.ifremer.fr/doc/00414/52542/