Trophic level-based indicators to track fishing impacts across marine ecosystems
| Type | Article | ||||||||||||
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| Date | 2014-10 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Shannon Lynne1, 2, Coll Marta3, 13, Bundy Alida4, Gascuel Didier5, Heymans Johanna J;6, Kleisner Kristin7, 8, Lynam Christopher9, Piroddi Chiara10, Tam Jorge11, Travers-Trolet Morgane 12, Shin Yunne1, 13 |
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| Affiliation(s) | 1 : Univ Cape Town, Marine Res Inst, ZA-7701 Rondebosch, South Africa. 2 : Univ Cape Town, Dept Biol Sci, ZA-7701 Rondebosch, South Africa. 3 : Passeig Maritim Barceloneta, CSIC, Inst Ciencias Mar, Barcelona 08003, Spain. 4 : Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada. 5 : Univ Europeenne Bretagne, Ecol & Sante Ecosyst UMR985, F-35042 Rennes, France. 6 : Scottish Marine Inst, Scottish Assoc Marine Sci, Oban PA37 1QA, Argyll, Scotland. 7 : Univ British Columbia, Sea Around Us Project, Vancouver, BC V6T 1Z4, Canada. 8 : NOAA, Northeast Fisheries Sci Ctr, Woods Hole, MA 02543 USA. 9 : Ctr Environm Fisheries & Aquaculture Sci Cefas, Lowestoft Lab, Lowestoft NR33 OHT, Suffolk, England. 10 : Commiss European Communities, Joint Res Ctr, I-21027 Ispra, VA, Italy. 11 : Inst Mar Peru IMARPE, Lima, Peru. 12 : IFREMER, Fisheries Lab, F-63321 Boulogne, France. 13 : IRD, UMR EME 212, CRH, F-34203 Sete, France. |
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| Source | Marine Ecology Progress Series (0171-8630) (Inter-research), 2014-10 , Vol. 512 , P. 115-140 | ||||||||||||
| DOI | 10.3354/meps10821 | ||||||||||||
| WOS© Times Cited | 93 | ||||||||||||
| Note | Contribution to the Theme Section ‘Trophodynamics in marine ecology’ | ||||||||||||
| Keyword(s) | Trophic level, Global comparison, Indicator, Survey, Catch, Ecosystem model, Trophic spectra, Convention on Biological Diversity, Food webs, Ecosystem approach to fisheries | ||||||||||||
| Abstract | Trophic level (TL)-based indicators have been widely used to examine fishing impacts in aquatic ecosystems and the induced biodiversity changes. However, much debate has ensued regarding discrepancies and challenges arising from the use of landings data from commercial fisheries to calculate TL indicators. Subsequent studies have started to examine survey-based and model-based indicators. In this paper, we undertake an extensive evaluation of a variety of TL indicators across 9 well-studied marine ecosystems by making use of model- as well as surveyand catch-based TL indicators. Using detailed regional information and data on fishing history, fishing intensity, and environmental conditions, we evaluate how well TL indicators are capturing fishing effects at the community level of marine ecosystems. Our results highlight that the differences observed between TL indicator values and trends is dependent on the data source and the TL cut-off point used in the calculations and is not attributable to an intrinsic problem with TLbased indicators. All 3 data sources provide useful information about the structural changes in the ecosystem as a result of fishing, but our results indicate that only model-based indicators represent fishing impacts at the whole ecosystem level. | ||||||||||||
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