Free Access
Issue
Aquat. Living Resour.
Volume 30, 2017
Article Number 7
Number of page(s) 18
DOI https://doi.org/10.1051/alr/2017006
Published online 20 March 2017
  • Ahrens RNM, Walters CJ, Christensen V. 2012. Foraging arena theory. Fish Fish 13 (4): 41–59. [CrossRef] [Google Scholar]
  • Allen KR. 1971. Relation between production and biomass. J Fish Res Board Can 28: 1573–1581. [CrossRef] [Google Scholar]
  • Anh PV, Everaert G, Goethals P, Vinh CT, De Laender F. 2015. Production and food web efficiency decrease as fishing activity increases in a coastal ecosystem. Estuar Coast Shelf Sci 165: 226–236. [CrossRef] [Google Scholar]
  • Araújo JN, Mackinson S, Ellis JR, Hart PJB. 2005. An Ecopath model of the western English Channel ecosystem with an exploration of its dynamic properties. Cefas Lowestoft (UK): Science Series Technical Report n° 125, 45p. [Google Scholar]
  • Araújo JN, Mackinson S, Stanford RJ, Hart PJB. 2008. Exploring fisheries strategies for the western English Channel using an ecosystem model. Ecol Model 210: 465–477. [CrossRef] [Google Scholar]
  • Blanchard F, Vandermeirsch F. 2005. Warming and exponential abundance increase of the subtropical fish Capros aper in the Bay of Biscay (1973–2002). C R Biol 328: 505–509. [CrossRef] [PubMed] [Google Scholar]
  • Bourdaud P, Gascuel D, Bentorcha A, Brind'Amour A. 2016. Trophic indicators and ecosystem-based management targets: a modelling approach. Ecol Ind 61: 588–601. [CrossRef] [Google Scholar]
  • Cardinale M, Dörner H, Abella A, et al. 2013. Rebuilding EU fish stocks and fisheries, a process under way? Mar Policy 39: 43–52. [CrossRef] [Google Scholar]
  • Cheung WWL, Sarmiento SL, Dunne J, et al. 2013. Shrinking of fishes exacerbates impacts of global ocean changes on marine ecosystems. Nat Clim Change 3: 254–258. [CrossRef] [Google Scholar]
  • Christensen V. 1995. Ecosystem maturity – towards quantification. Ecol Model 77: 3–32. [CrossRef] [Google Scholar]
  • Christensen V. 2013. Ecological networks in fisheries: predicting the future? Fisheries 38 (2): 76–81. [CrossRef] [Google Scholar]
  • Christensen V, Pauly D. 1992. ECOPATH II – a software for balancing steady-state ecosystem models and calculating network characteristics. Ecol Model 61: 169–185. [CrossRef] [Google Scholar]
  • Christensen V, Walters CJ. 2004. Ecopath with Ecosim: methods, capabilities and limitations. Ecol Model 172: 109–139. [CrossRef] [Google Scholar]
  • Christensen V, Walters CJ, Pauly D. 2005. Ecopath with Ecosim: a user's guide. Fisheries Centre, University of British Columbia, Vancouver, November 2005 edition, 154 p. (available online at www.ecopath.org). [Google Scholar]
  • Christensen V, Walters CJ, Ahrens R, et al. 2009. Database-driven models of the world's Large Marine Ecosystems. Ecol Model 220: 1984–1996. [CrossRef] [Google Scholar]
  • Christensen V, De la Puente S, Sueiro JC, Walters CJ, Tam J, Majiluf P. in press. Toward ecosystem based management of the Peruvian upwelling ecosystem: six decades of change. Ecol Model. [Google Scholar]
  • Chust G, Borja A, Caballero A, et al. 2011. Climate change impacts on coastal and pelagic environments in the southeastern Bay of Biscay. Clim Res 48: 307–332. [CrossRef] [Google Scholar]
  • Coll M, Akoglu E, Arreguın-Sanchez F, et al. 2015. Modelling dynamic ecosystems: venturing beyond boundaries with the Ecopath approach. Rev Fish Biol Fish 25: 413–424. [CrossRef] [Google Scholar]
  • Colleter, M, Guitton, J, Gascuel, D. 2013. An Introduction to the EcoTrophR package: analyzing aquatic ecosystem trophic network. R J 5(1): 98–107. [Google Scholar]
  • Colleter M, Valls A, Guitton J, Gascuel D, Pauly D, Christensen V. 2015. Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository. Ecol Model 302: 42–53. [CrossRef] [Google Scholar]
  • European Commission. 2002. Council Regulation (EC) No. 2371/2002 of the 31 December 2002 on the conservation and sustainable exploitation of fisheries resources under the Common Fisheries Policy. [Google Scholar]
  • European Commission. 2008a. The role of the CFP in implementing an ecosystem approach to marine management. Communication from the Commission to the Council and the European Parliament. COM/2008/0187 final. [Google Scholar]
  • European Commission. 2008b. Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy (Marine Strategy Framework Directive. [Google Scholar]
  • European Commission. 2013. Regulation 1380/2013 of the European parliament and of the council of 11 December 2013 on the Common Fisheries Policy. [Google Scholar]
  • Fath BD, Jørgensen SE, Patten BC, Straškraba M. 2004. Ecosystem growth and development. Biosystems 77: 213–228. [CrossRef] [PubMed] [Google Scholar]
  • Fernandes PG, Cook RM. 2013. Reversal of fish stock decline in the Northeast Atlantic. Curr Biol 23: 1432–1437. [CrossRef] [PubMed] [Google Scholar]
  • Froese R, Stern-Pirlot A, Winker H, Gascuel D. 2008. Size matters: how single-species management can contribute to ecosystem-based fisheries management. Fish Res 92: 231–241. [CrossRef] [Google Scholar]
  • Fulton EA, Link J, Kaplan IC, et al. 2011. Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish Fish 12: 171–188. [CrossRef] [Google Scholar]
  • Garcia SM, De Leiva M. 2005. Evolution of the state of fish stocks in the Northeast Atlantic within a precautionary framework, 1970-2003: a synoptic evaluation. ICES J Mar Sci 62: 1603–1608. [CrossRef] [Google Scholar]
  • Garcia SM, Zerbi A, Aliaume C, Do Chi, T, Lasserre G. 2003. The ecosystem approach to fisheries. Issues, terminology, principles, institutional foundations, implementation and outlook. FAO Fisheries Technical Paper No. 443. Rome: FAO. [Google Scholar]
  • Garcia-Soto C, Pingree RD, Valdés L. 2002. Navidad development in the southern Bay of Biscay: climate change and swoddy structure from remote sensing and in situ measurements. J Geophys Res: Oceans 107: 28–31. [CrossRef] [Google Scholar]
  • Gasche L, Gascuel D, Shannon L, Shin Y-J. 2012. Global assessment of the fishing impacts on the Southern Benguela ecosystem using an EcoTroph modelling approach. J Mar Syst 90 (1): 1–12. [CrossRef] [Google Scholar]
  • Gascuel D. 2005. The trophic-level based model: a theoretical approach of fishing effects on marine ecosystems. Ecol Model 189: 315–332. [CrossRef] [Google Scholar]
  • Gascuel D, Pauly D. 2009. EcoTroph: modelling marine ecosystem functioning and impact of fishing. Ecol Model 220: 2885–2898. [CrossRef] [Google Scholar]
  • Gascuel D, Bozec Y-M, Chassot E, Colomb A, Laurans M. 2005. The trophic spectrum: theory and application as an ecosystem indicator. ICES J Mar Sci 62: 443–452. [CrossRef] [Google Scholar]
  • Gascuel D, Morissette L, Palomares MLD, Christensen V. 2008. Trophic flow kinetics in marine ecosystems: toward a theoretical approach to ecosystem functioning. Ecol Model 217: 33–47. [CrossRef] [Google Scholar]
  • Gascuel D, Guénette S, Pauly D. 2011. The trophic-level based ecosystem modelling approach: theoretical overview and practical uses. ICES J Mar Sci 68: 1403–1416. [CrossRef] [Google Scholar]
  • Gascuel D, Coll M, Fox C, et al. 2016. Fishing impact and environmental status in European seas: a diagnosis from stock assessments and ecosystem indicators. Fish Fish 17: 31–55. [CrossRef] [Google Scholar]
  • Guénette S, Gascuel D. 2012. Shifting baselines in European fisheries: the case of the Celtic Sea and Bay of Biscay. Ocean Coast Manage 70: 10–21. [CrossRef] [Google Scholar]
  • Heymans JJ, Coll M, Link JS, et al. 2016. Best practice in Ecopath with Ecosim food_web models for ecosystem-based management. Ecol Model 331: 173–184. [CrossRef] [Google Scholar]
  • Heymans JJ, Howell KL, Ayers M, et al. 2011. Do we have enough information to apply the ecosystem approach to management of deep-sea fisheries? An example from the West of Scotland. ICES J Mar Sci 68: 265–280. [CrossRef] [Google Scholar]
  • Hoenig JM. 1983. Empirical use of longevity data to estimate mortality-rates. Fish Bull 81 (4): 898–903. [Google Scholar]
  • Holden M, Garrod D. 1996. The Common Fisheries Policy: origin, evaluation and future. Oxford: Fishing News Books. 288 pp. [Google Scholar]
  • Huret M, Sourisseau M, Petitgas P, Struski C, Léger F, Lazure P. 2013. A multi-decadal hindcast of a physical-biogeochemical model and derived oceanographic indices in the Bay of Biscay. J Mar Syst 109–110 (Suppl): S77– S94. [CrossRef] [Google Scholar]
  • ICES. 1999. Report of the ICES Advisory Committee on Fisheries Management, 1998. ICES Cooperative Research Report, 229 pp. [Google Scholar]
  • ICES. 2014. Report of the Report of the Working Group on Widely Distributed Stocks (WGWIDE), 26 August–1 September 2014, ICES Headquarters, Copenhagen, Denmark. ICES CM 2014/A COM: 15, 938 pp. [Google Scholar]
  • Jackson JB, Kirby MX, Berger WH, et al. 2001. Historical overfishing and the recent collapse of coastal ecosystems. Science 293: 629–638. [CrossRef] [PubMed] [Google Scholar]
  • Jennings SJ, Rice JC. 2011. Towards an ecosystem approach to fisheries in Europe: a perspective on current progress and future directions. Fish Fish 12: 125–137. [CrossRef] [Google Scholar]
  • Jiming Y. 1982. A tentative analysis of the trophic levels of North Sea fish. Mar Ecol Progr Ser 7: 247–252. [CrossRef] [Google Scholar]
  • Johnstone ADF, Wardle CS, Almatar SM. 1993. Routine respiration rates of Atlantic mackerel, Scomber scombrus L, and herring, Clupea harengus L, at low activity levels. J Fish Biol 42: 149–151. [CrossRef] [Google Scholar]
  • Kay JJ, Graham LA, Ulanowicz RE. A detailed guide to network analysis. In: Wulff F, Field JG, Mann KH, eds. Network analysis in marine ecology. Berlin, Heidelberg: Springer, 1989, pp. 15–61. [Google Scholar]
  • Lai S, Steenbeek J, Buszowski J. 2009. EwE6: interoperability usage, capabilities, technology, structure and beyond. Fish Centre Res Rep 17: 130–131. [Google Scholar]
  • Lassalle G, Gascuel D, Le Loc'h F, et al. 2012. An ecosystem approach for the assessment of fisheries impacts on marine top-predators: the Bay of Biscay case study. ICES J Mar Sci 69: 925–938. [CrossRef] [Google Scholar]
  • Lauria V. 2012. Impacts of climate change and fisheries on the Celtic Sea ecosystem. PhD thesis, Plymouth University, UK, 248p. [Google Scholar]
  • Link JS. 2010. Adding rigor to ecological network models by evaluating a set of pre-balanced diagnostics: a plea for PREBAL. Ecol Model 221: 13–21. [Google Scholar]
  • Link J. 2011. Ecosystem-based fisheries management: confronting tradeoffs. Cambridge: Cambridge University Press. [Google Scholar]
  • Lynam C, Mackinson S. 2015. How will fisheries management measures contribute towards the attainment of good environmental status for the North Sea ecosystem? Global Ecol Conserv 4: 160–175. [CrossRef] [Google Scholar]
  • Mackinson S. 2014. Combined analyses reveal environmentally driven changes in the North Sea ecosystem and raise questions regarding what makes an ecosystem model's performance credible? Can J Fish Aquat Sci 71: 31–46. [CrossRef] [Google Scholar]
  • Mackinson S, Daskalov G. 2007. An ecosystem model of the North Sea to support an ecosystem approach to fisheries management: description and parameterisation. Sci Ser Tech Rep Cefas Lowestoft 142: 196 pp. [Google Scholar]
  • McCauley DJ, Pinsky ML, Palumbi SR, et al. 2015. Marine defaunation: animal loss in the global ocean. Science 347 (6219): 247. [CrossRef] [Google Scholar]
  • Moullec F, Gascuel D, Bentorcha K, Guénette S, Robert M. 2017. Trophic models: what do we learn about Celtic Sea and Bay of Biscay ecosystems? J Mar Syst [in press]. [Google Scholar]
  • Odum EP. 1969. The strategy of ecosystem development. Science 164: 262–270. [CrossRef] [PubMed] [Google Scholar]
  • Palomares MLD, Pauly D. 1998. Predicting food consumption of fish populations as functions of mortality, food type, morphometrics, temperature and salinity. Mar Freshw Res 49: 447–453. [CrossRef] [Google Scholar]
  • Patterson K. 1992. Fisheries for small pelagic species: an empirical approach to management targets. Rev Fish Biol Fish 2: 321–338. [CrossRef] [Google Scholar]
  • Pauly D. 1980. On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks. J Cons 39: 175–192. [CrossRef] [Google Scholar]
  • Pauly D, Moreau J. 1997. Méthode pour l'évaluation des ressources halieutiques. Toulouse: Cépaduès-Éditions, p. 288. [Google Scholar]
  • Pauly D, Watson R. 2005. Background and interpretation of the ‘Marine Trophic Index’ as a measure of biodiversity. Philos Trans R Soc B: Biol Sci 360: 415–423. [CrossRef] [PubMed] [Google Scholar]
  • Pauly D, Christensen V, Dalsgaard J, Froese R, Torres F. 1998. Fishing down marine food webs. Science 279: 860–863. [CrossRef] [PubMed] [Google Scholar]
  • Pauly D, Christensen V, Walter C. 2000. Ecopath, Ecosim, and Ecospace as tools for evaluating ecosystem impact of fisheries. ICES J Mar Sci 57: 697–706. [CrossRef] [Google Scholar]
  • Planque B, Beillois P, Jegou AM, Lazure P, Petitgas P, Puillat I. 2003. Large-scale hydroclimatic variability in the Bay of Biscay: the 1990s in the context of interdecadal changes. ICES Mar Sci Sympos 219: 61–70. [Google Scholar]
  • Pikitch EK, Santora C, Babcock EA, et al. 2004. Ecology: ecosystem-based fishery management. Science 305: 346–347. [CrossRef] [PubMed] [Google Scholar]
  • Polovina JJ. 1984. Model of a coral reef ecosystem I. The ECOPATH model and its application to French Frigate Shoals. Coral Reefs 3: 1–11. [CrossRef] [Google Scholar]
  • Rice JC. 2011. Managing fisheries well: delivering the promise of an Ecosystem Approach. Fish Fish 12: 209–231. [CrossRef] [Google Scholar]
  • Shephard S, Rindorf A, Dickey-Collas M, Hintzen NT, Farnsworth K, Reid DG. 2014. Assessing the state of pelagic fish communities within an ecosystem approach and the European Marine Strategy Framework Directive. ICES J Mar Sci: J Cons, fsu005. [Google Scholar]
  • Scientific, Technical and Economic Committee for Fisheries (STECF). 2015a. Evaluation of management plans: evaluation of the multi-annual plan for the North Sea demersal stocks (STECF-15-04). Publications Office of the European Union, Luxembourg, EUR 27232 EN, JRC 95959, 152 pp. [Google Scholar]
  • Scientific, Technical and Economic Committee for Fisheries (STECF). 2015b. Multiannual management plans SWW and NWW (STECF-15-08). Publications Office of the European Union, Luxembourg, EUR 27406 EN, JRC 96964, 82 pp. [Google Scholar]
  • Tomczak MT, Müller-Karulis B, Järv L, et al. 2009. Analysis of trophic networks and carbon flows in south-eastern Baltic coastal ecosystems. Progr Oceanogr 81: 111–131. [CrossRef] [Google Scholar]
  • Tomczak MT, Niiranen S, Hjerne O, Blenckner T. 2012. Ecosystem flow dynamics in the Baltic Proper-Using a multi-trophic dataset as a basis for food-web modelling. Ecol Model 230: 123–147. [CrossRef] [Google Scholar]
  • Ulanowicz RE, Puccia CJ. 1990. Mixed trophic impacts in ecosystems. Coenoses 5 (1): 7–16. [Google Scholar]
  • UN. 2012. The future that we want. Outcome of the United Nations Conference on Sustainable Development. Rio de Janeiro, Brazil: UN. [Google Scholar]
  • Walters C, Kitchell JF. 2001. Cultivation/depensation effects on juvenile survival and recruitment: implications for the theory of fishing. Can J Fish Aquat Sci 58: 39–50. [CrossRef] [Google Scholar]
  • Walters CJ, Martell SJD. 2004. Fisheries ecology and management. Princeton University Press. 428 pp. [Google Scholar]
  • Walters C, Christensen V, Pauly D. 1997. Structuring dynamic models of exploited ecosystems from trophic mass-balance assessments. Rev Fish Biol Fish 7: 139–172. [CrossRef] [Google Scholar]
  • Wardle CS, Soofiani NM, O'Neill FG, Glass CW, Johnstone ADF. 1996. Measurements of aerobic metabolism of a school of horse mackerel at different swimming speeds. J Fish Biol 49: 854–862. [CrossRef] [Google Scholar]

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