4.5 Article

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

期刊

ECOLOGICAL MODELLING
卷 368, 期 -, 页码 265-276

出版社

ELSEVIER
DOI: 10.1016/j.ecolmodel.2017.12.003

关键词

Marine ecosystem; Fishing; Combined effect; Meta-analysis; Synergism; Multiple drivers

类别

资金

  1. IOC-UNESCO
  2. EuroMarine
  3. project EMIBIOS (FRB) [APP-SCEN-2010-II]
  4. Fisheries Oceans Canada
  5. NOAA's Integrated Ecosystem Assessment (IEA)
  6. IRD, France
  7. South African Research Chair Initiative - South African Department of Science and Technology (DST)
  8. Beaufort Marine Research Award
  9. Marine Institute - Marine Research Sub-Programme of the Irish National Development Plan
  10. Marie Curie Career Integration Grant Fellowships [PCIG10-GA-2011-303534]
  11. Natural Environment Research Council
  12. Department for Environment, Food and Rural Affairs [NE/L003279/1]
  13. Marine Ecosystems Research Programme

向作者/读者索取更多资源

There is an increasing need to understand ecosystem responses to multiple stressors in that such complex responses 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. In addition to exploring synergistic, additive or antagonistic combined effects of multiple stressors, we included a fourth category dampened, which refers to less negative or less positive impacts compared to additive ones, and in contrast to previous studies, we explicitly considered the direction (positive or negative) of the combined effects. We focused on two specific combined effects (negative synergism and positive dampened) associated with the 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 larger than expected under additive effects and (ii) the risk of positive 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 rebuilding of these stocks would be slower than expected. Our approach to categorizing and exploring cumulative effects can be applied to evaluate other community properties, and provide guidance for fisheries management. (C) 2017 The Authors. Published by Elsevier B.V.

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