Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers

Fish and Fisheries

Volumn 17, Issue 4, 2016, Pages 972-1004

  Koenigstein, Stefan ^a,b   Mark, Felix C ^b   Gößling Reisemann, Stefan ^a   Reuter, Hauke ^a,c   Poertner, Hans Otto ^a,b  

^a UNIVERSITY OF BREMEN   (Germany)

^b ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

^c LEIBNIZ CENTRE FOR TROPICAL MARINE RESEARCH ZMT   (Germany)

Author keywords

Climate change; ecosystem modelling; environmental drivers; fish ecophysiology; ocean acidification; process understanding

Indexed keywords

ADAPTATION; CLIMATE CHANGE; ECOPHYSIOLOGY; ECOSYSTEM MODELING; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL FACTOR; FISH; FOOD WEB; MARINE ECOSYSTEM; OCEAN ACIDIFICATION; PHYSIOLOGICAL RESPONSE; POPULATION DYNAMICS; SPATIOTEMPORAL ANALYSIS;

EID: 84959887028     PISSN: 14672960     EISSN: 14672979     Source Type: Journal    
DOI: 10.1111/faf.12155     Document Type: Article

References (370)

1. Ahrens, R.N.M., Walters, C.J. and Christensen, V. (2012) Foraging arena theory. Fish and Fisheries 13, 41–59.
2. Ainsworth, C.H., Samhouri, J.F., Busch, D.S., Cheung, W.W.L., Dunne, J. and Okey, T.A. (2011) Potential impacts of climate change on Northeast Pacific marine foodwebs and fisheries. ICES Journal of Marine Science 68, 1217–1229.
3. Albouy, C., Velez, L., Coll, M. et al. (2014) From projected species distribution to food-web structure under climate change. Global Change Biology 20, 730–741.
4. Alvarez, M., Schrey, A.W. and Richards, C.L. (2015) Ten years of transcriptomics in wild populations: what have we learned about their ecology and evolution? Molecular Ecology 24, 710–725.
5. Andersen, K.H. and Beyer, J.E. (2006) Asymptotic size determines species abundance in the marine size spectrum. The American Naturalist 168, 54–61.
6. Andersen, K.H. and Beyer, J.E. (2013) Size structure, not metabolic scaling rules, determines fisheries reference points. Fish and Fisheries 16, 1–22.
7. Andersen, K.H. and Brander, K. (2009) Expected rate of fisheries-induced evolution is slow. Proceedings of the National Academy of Sciences of the United States of America 106, 11657–11660.
8. Anderson, J.J., Gurarie, E., Bracis, C., Burke, B.J. and Laidre, K.L. (2013) Modeling climate change impacts on phenology and population dynamics of migratory marine species. Ecological Modelling 264, 83–97.
9. Andrews, J.M., Gurney, W.S.C., Heath, M.R. et al. (2006) Modelling the spatial demography of Atlantic cod (Gadus morhua) on the European continental shelf. Canadian Journal of Fisheries and Aquatic Sciences 63, 1027–1048.
10. Araújo, J.N. and Bundy, A. (2012) Effects of environmental change, fisheries and trophodynamics on the ecosystem of the western Scotian Shelf, Canada. Marine Ecology Progress Series 464, 51–67.
11. Araújo, M.B. and Guisan, A. (2006) Five (or so) challenges for species distribution modelling. Journal of Biogeography 33, 1677–1688.
12. Araújo, M.B. and Rozenfeld, A. (2014) The geographic scaling of biotic interactions. Ecography 37, 406–415.
13. Arunachalam, S., Zalila-Wenkstern, R. and Steiner, R. (2008) Environment mediated Multi Agent Simulation Tools-A Comparison. Sasow 2008: Second Ieee International Conference on Self-Adaptive and Self-Organizing Systems Workshops, Proceedings, pp. 43–48.
14. Asch, R.G. (2015) Climate change and decadal shifts in the phenology of larval fishes in the California Current ecosystem. Proceedings of the National Academy of Sciences of the United States of America 112, E4065–E4074.
15. Austin, M. (2007) Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecological Modelling 200, 1–19.
16. Barange, M., Cheung, W.W.L., Merino, G. and Perry, R.I. (2010) Modelling the potential impacts of climate change and human activities on the sustainability of marine resources. Current Opinion in Environmental Sustainability 2, 326–333.
17. Barange, M., Merino, G., Blanchard, J.L. et al. (2014) Impacts of climate change on marine ecosystem production in societies dependent on fisheries. Nature Climate Change 4, 211–216.
18. Baskett, M.L. (2012) Integrating mechanistic organism–environment interactions into the basic theory of community and evolutionary ecology. Journal of Experimental Biology 215, 948–961.
19. Baudron, A.R., Needle, C.L., Rijnsdorp, A.D. and Marshall, C.T. (2014) Warming temperatures and smaller body sizes: synchronous changes in growth of North Sea fishes. Global Change Biology 20, 1023–1031.
20. Baumann, H., Talmage, S.C. and Gobler, C.J. (2012) Reduced early life growth and survival in a fish in direct response to increased carbon dioxide. Nature Climate Change 2, 38–41.
21. Beauchamp, D.A., Cross, A.D., Armstrong, J.L. et al. (2007) Bioenergetic responses by pacific salmon to climate and ecosystem variation. North Pacific Anadromous Fish Commission Bulletin 4, 257–269.
22. Beaugrand, G. and Kirby, R.R. (2010) Climate, plankton and cod. Global Change Biology 16, 1268–1280.
23. Beaugrand, G., Brander, K.M., Alistair Lindley, J., Souissi, S. and Reid, P.C. (2003) Plankton effect on cod recruitment in the North Sea. Nature 426, 661–664.
24. Beaumont, N.J., Austen, M.C., Atkins, J.P. et al. (2007) Identification, definition and quantification of goods and services provided by marine biodiversity: implications for the ecosystem approach. Marine Pollution Bulletin 54, 253–265.
25. Benoit, E. and Rochet, M.J. (2004) A continuous model of biomass size spectra governed by predation and the effects of fishing on them. Journal of Theoretical Biology 226, 9–21.
26. Beverton, R. and Holt, S.J. (1957) On the Dynamics of Exploited Fish Populations. Fisheries Investigation Series 2.
27. Blanchard, J.L., Jennings, S., Law, R. et al. (2009) How does abundance scale with body size in coupled size-structured food webs? Journal of Animal Ecology 78, 270–280.
28. Blanchard, J.L., Law, R., Castle, M.D. and Jennings, S. (2010) Coupled energy pathways and the resilience of size-structured food webs. Theoretical Ecology 4, 289–300.
29. Blanchard, J.L., Jennings, S., Holmes, R. et al. (2012) Potential consequences of climate change for primary production and fish production in large marine ecosystems. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 367, 2979–2989.
30. Bogstad, B., Hauge, K.H. and Ulltang, Ø. (1997) MULTSPEC–a multi-species model for fish and marine mammals in the Barents Sea. Journal of Northwest Atlantic Fishery Science 22, 317–341.
31. Bogstad, B., Gjøsæter, H., Haug, T. and Lindstrøm, U. (2015) A review of the battle for food in the Barents Sea: cod vs. marine mammals. Frontiers in Ecology and Evolution 3, 29.
32. Brander, K.M. (1995) The effect of temperature on growth of Atlantic cod (Gadus morhua L). ICES Journal of Marine Science 52, 1–10.
33. Brander, K. (2010) Impacts of climate change on fisheries. Journal of Marine Systems 79, 389–402.
34. Brander, K. and Mohn, R. (2004) Effect of the north Atlantic oscillation on recruitment of Atlantic cod (Gadus morhua). Canadian Journal of Fisheries and Aquatic Sciences 61, 1558–1564.
35. Brander, K., Neuheimer, A., Andersen, K.H. and Hartvig, M. (2013) Overconfidence in model projections. ICES Journal of Marine Science 70, 1069–1074.
36. Brauner, C.J. and Baker, D.W. (2009) Patterns of acid-base regulation during exposure to hypercarbia in fishes. In: Cardio-Respiratory Control in Vertebrates (eds M.L. Glass and S.C. Wood). Springer, Berlin, pp. 43–63.
37. Bremner, J. (2008) Species’ traits and ecological functioning in marine conservation and management. Journal of Experimental Marine Biology and Ecology 366, 37–47.
38. Briffa, M., de la Haye, K. and Munday, P.L. (2012) High CO₂ and marine animal behaviour: potential mechanisms and ecological consequences. Marine Pollution Bulletin 64, 1519–1528.
39. Brown, J.H., Gillooly, J.F., Allen, A.P., Savage, V.M. and West, G.B. (2004) Toward a metabolic theory of ecology. Ecology 85, 1771–1789.
40. Büssenschütt, M. and Pahl-Wostl, C. (2000) A discrete, allometric approach to the modeling of ecosystem dynamics. Ecological Modelling 126, 33–48.
41. Cabral, R.B., Aliño, P.M. and Lim, M.T. (2013) A coupled stock-recruitment-age-structured model of the North Sea cod under the influence of depensation. Ecological Modelling 253, 1–8.
42. Caswell, H. (2001) Matrix Population Models: Construction, Analysis, and Interpretation, 2nd edn. Sinauer Associates, Sunderland, MA.
43. Catullo, R.A., Ferrier, S. and Hoffmann, A.A. (2015) Extending spatial modelling of climate change responses beyond the realized niche: estimating, and accommodating, physiological limits and adaptive evolution. Global Ecology and Biogeography 24, 1192–1202.
44. Chapman, E.W., Jorgensen, C. and Lutcavage, M.E. (2011) Atlantic bluefin tuna (Thunnus thynnus): a state-dependent energy allocation model for growth, maturation, and reproductive investment. Canadian Journal of Fisheries and Aquatic Sciences 68, 1934–1951.
45. Cheung, W.W.L., Lam, V.W.Y. and Pauly, D. (2008) Dynamic bioclimate envelope model to predict climate-induced changes in distribution of marine fishes and invertebrates. Fisheries Centre Research Reports 16, 5–50.
46. Cheung, W., Lam, V. and Sarmiento, J.L. (2009) Projecting global marine biodiversity impacts under climate change scenarios – Cheung. Fish and Fisheries 10, 235–251.
47. Cheung, W.W.L., Lam, V.W.Y., Sarmiento, J.L. et al. (2010) Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change. Global Change Biology 16, 24–35.
48. Cheung, W.W.L., Dunne, J., Sarmiento, J.L. and Pauly, D. (2011) Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic. ICES Journal of Marine Science 68, 1008–1018.
49. Chown, S.L. (2012) Trait-based approaches to conservation physiology: forecasting environmental change risks from the bottom up. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 367, 1615–1627.
50. Chown, S.L., Hoffmann, A.A., Kristensen, T.N., Angilletta, M.J., Stenseth, N.C. and Pertoldi, C. (2010) Adapting to climate change: a perspective from evolutionary physiology. Climate Research 43, 3–15.
51. Christensen, V. and Walters, C.J. (2004) Ecopath with ecosim: methods, capabilities and limitations. Ecological Modelling 172, 109–139.
52. Christensen, V., Coll, M., Steenbeek, J., Buszowski, J., Chagaris, D. and Walters, C.J. (2014a) Representing variable habitat quality in a spatial food web model. Ecosystems 17, 1397–1412.
53. Christensen, V., de la Puente, S., Sueiro, J.C., Steenbeek, J. and Majluf, P. (2014b) Valuing seafood: the Peruvian fisheries sector. Marine Policy 44, 302–311.
54. Chung, W.S., Marshall, N.J., Watson, S.A., Munday, P.L. and Nilsson, G.E. (2014) Ocean acidification slows retinal function in a damselfish through interference with GABA(A) receptors. Journal of Experimental Biology 217, 323–326.
55. Ciannelli, L., Fauchald, P., Chan, K.S., Agostini, V.N. and Dingsor, G.E. (2008) Spatial fisheries ecology: recent progress and future prospects. Journal of Marine Systems 71, 223–236.
56. Ciannelli, L., Fisher, J.A.D., Skern-Mauritzen, M. et al. (2013) Theory, consequences and evidence of eroding population spatial structure in harvested marine fishes: a review. Marine Ecology Progress Series 480, 227–243.
57. Claireaux, G. and Lefrancois, C. (2007) Linking environmental variability and fish performance: integration through the concept of scope for activity. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 362, 2031–2041.
58. Clark, R.A., Fox, C.J., Viner, D. and Livermore, M. (2003) North Sea cod and climate change – modelling the effects of temperature on population dynamics. Global Change Biology 9, 1669–1680.
59. Clarke, A. and Johnston, N.M. (1999) Scaling of metabolic rate with body mass and temperature in teleost fish. Journal of Animal Ecology 68, 893–905.
60. Cochrane, K.L., Perry, R.I., Daw, T.M., Soto, D., Barange, M. and De Silva, S.S. (2009) Climate change Implications for Fisheries and Aquaculture: Overview of Current Scientific Knowledge. FAO fisheries and aquaculture technical paper Vol. 530, Food and Agriculture Organization of the United Nations, Rome.
61. Cooley, S.R., Kite-Powell, H.L., Doney, S.C. and Act, A. (2009) Ocean acidification's potential to alter global marine ecosystem services. Oceanography 22, 172–181.
62. Cooley, S.R., Rheuban, J.E., Hart, D.R. et al. (2015) An integrated assessment model for helping the United States Sea Scallop (Placopecten magellanicus) fishery plan ahead for ocean acidification and warming. PLoS ONE 10, 1–27.
63. Cornwall, C.E. and Eddy, T.D. (2015) Effects of near-future ocean acidification, fishing, and marine protection on a temperate coastal ecosystem. Conservation Biology 29, 207–215.
64. Costanza, R. and Ruth, M. (1998) Using dynamic modeling to scope environmental problems and build consensus. Environmental Management 22, 183–195.
65. 2 on the respiratory performance of two tropical prey fish and their predator. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 166, 482–489.
66. Crozier, L.G. and Hutchings, J.A. (2014) Plastic and evolutionary responses to climate change in fish. Evolutionary Applications 7, 68–87.
67. Cucco, A., Sinerchia, M., Lefrançois, C. et al. (2012) A metabolic scope based model of fish response to environmental changes. Ecological Modelling 237, 132–141.
68. Cury, P.M., Shin, Y.J., Planque, B. et al. (2008) Ecosystem oceanography for global change in fisheries. Trends in Ecology & Evolution 23, 338–346.
69. Daewel, U., Peck, M.A., Schrum, C. and St John, M.A. (2008) How best to include the effects of climate-driven forcing on prey fields in larval fish individual-based models. Journal of Plankton Research 30, 1–5.
70. Daewel, U., Hjollo, S.S., Huret, M. et al. (2014) Predation control of zooplankton dynamics: a review of observations and models. ICES Journal of Marine Science 71, 254–271.
71. Dalpadado, P., Ingvaldsen, R.B., Stige, L.C. et al. (2012) Climate effects on Barents Sea ecosystem dynamics. ICES Journal of Marine Science 69, 1303–1316.
72. Dawes, J.H.P. and Souza, M.O. (2013) A derivation of Holling's type I, II and III functional responses in predator–prey systems. Journal of Theoretical Biology 327, 11–22.
73. Deigweiher, K., Koschnick, N., Portner, H.O. and Lucassen, M. (2008) Acclimation of ion regulatory capacities in gills of marine fish under environmental hypercapnia. American Journal of Physiology, Regulatory, Integrative and Comparative Physiology 295, R1660–R1670.
74. Denman, K., Christian, J.R., Steiner, N., Portner, H.O. and Nojiri, Y. (2011) Potential impacts of future ocean acidification on marine ecosystems and fisheries: current knowledge and recommendations for future research. ICES Journal of Marine Science 68, 1019–1029.
75. Denny, M. and Helmuth, B. (2009) Confronting the physiological bottleneck: a challenge from ecomechanics. Integrative and Comparative Biology 49, 197–201.
76. Deriso, R.B., Quinn li, T.J. and Neal, P.R. (1985) Catch-age analysis with auxiliary information. Canadian Journal of Fisheries and Aquatic Sciences 42, 815–824.
77. Devine, B.M., Munday, P.L. and Jones, G.P. (2012) Homing ability of adult cardinalfish is affected by elevated carbon dioxide. Oecologia 168, 269–276.
78. Diamond, S.L., Murphy, C.A. and Rose, K.A. (2013) Simulating the effects of global climate change on Atlantic croaker population dynamics in the mid-Atlantic Region. Ecological Modelling 264, 98–114.
79. Donelson, J.M. and Munday, P.L. (2012) Thermal sensitivity does not determine acclimation capacity for a tropical reef fish. Journal of Animal Ecology 81, 1126–1131.
80. Doney, S.C., Ruckelshaus, M., Emmett Duffy, J. et al. (2012) Climate change impacts on marine ecosystems. Annual Review of Marine Science 4, 11–37.
81. Dormann, C.F. (2007) Promising the future? Global change projections of species distributions. Basic and Applied Ecology 8, 387–397.
82. Dunlop, E.S., Heino, M. and Dieckmann, U. (2009) Eco-genetic modeling of contemporary life-history evolution. Ecological Applications 19, 1815–1834.
83. Dupont, S. and Pörtner, H.O. (2013) A snapshot of ocean acidification research. Marine Biology 160, 1765–1771.
84. Ekau, W., Auel, H., Pörtner, H.O. and Gilbert, D. (2010) Impacts of hypoxia on the structure and processes in pelagic communities (zooplankton, macro-invertebrates and fish). Biogeosciences 7, 1669–1699.
85. Elith, J. and Leathwick, J.R. (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40, 677–697.
86. Engelhard, G.H., Ellis, J.R., Payne, M.R., ter Hofstede, R. and Pinnegar, J.K. (2011) Ecotypes as a concept for exploring responses to climate change in fish assemblages. ICES Journal of Marine Science 68, 580–591.
87. Engelhard, G.H., Peck, M.A., Rindorf, A. et al. (2014) Forage fish, their fisheries, and their predators: who drives whom? ICES Journal of Marine Science 71, 90–104.
88. 2 world: synergistic effects of elevated temperature and carbon dioxide on the metabolic rates of Antarctic notothenioids. Comparative Biochemistry and Physiology. Part A-Molecular & Integrative Physiology 164, 154–161.
89. Evans, K., Brown, J.N., Sen Gupta, A. et al. (2015) When 1 + 1 can be > 2: uncertainties compound when simulating climate, fisheries and marine ecosystems. Deep-Sea Research. Part II, Topical Studies in Oceanography 113, 312–322.
90. Fabry, V.J., Seibel, B.A., Feely, R.A. and Orr, J.C. (2008) Impacts of ocean acidification on marine fauna and ecosystem processes. ICES Journal of Marine Science 65, 414–432.
91. Fernandes, J.A., Cheung, W.W.L., Jennings, S. et al. (2013) Modelling the effects of climate change on the distribution and production of marine fishes: accounting for trophic interactions in a dynamic bioclimate envelope model. Global Change Biology 19, 2596–2607.
92. 2 equation – qualitative and quantitative effects of ocean acidification on predator-prey interactions. Ecology Letters 14, 1143–1148.
93. Ferrari, M.C., Manassa, R.P., Dixson, D.L. et al. (2012) Effects of ocean acidification on learning in coral reef fishes. PLoS ONE 7, 1–10.
94. Fiechter, J., Rose, K.A., Curchitser, E.N. and Hedstrom, K.S. (2015) The role of environmental controls in determining sardine and anchovy population cycles in the California Current: analysis of an end-to-end model. Progress in Oceanography 138, 381–398.
95. Field, J.C., Francis, R.C. and Aydin, K. (2006) Top-down modeling and bottom-up dynamics: linking a fisheries-based ecosystem model with climate hypotheses in the Northern California Current. Progress in Oceanography 68, 238–270.
96. Fiksen, O. and Jørgensen, C. (2011) Model of optimal behaviour in fish larvae predicts that food availability determines survival, but not growth. Marine Ecology Progress Series 432, 207–219.
97. Fiksen, Ø., Jørgensen, C., Kristiansen, T., Vikebø, F. and Huse, G. (2007) Linking behavioural ecology and oceanography: larval behaviour determines growth, mortality and dispersal. Marine Ecology Progress Series 347, 195–205.
98. Folke, C. (2006) Resilience: the emergence of a perspective for social–ecological systems analyses. Global Environmental Change 16, 253–267.
99. Fordham, D.A., Akcakaya, H.R., Araujo, M.B., Keith, D.A. and Brook, B.W. (2013) Tools for integrating range change, extinction risk and climate change information into conservation management. Ecography 36, 956–964.
100. Fournier, D.A., Sibert, J.R., Majkowski, J. and Hampton, J. (1990) Multifan a likelihood-based method for estimating growth-parameters and age composition from multiple length frequency data sets illustrated using data for southern Bluefin Tuna (Thunnus maccoyii). Canadian Journal of Fisheries and Aquatic Sciences 47, 301–317.
101. Fournier, D.A., Hampton, J. and Sibert, J.R. (1998) MULTIFAN-CL: a length-based, age-structured model for fisheries stock assessment, with application to South Pacific albacore, Thunnus alalunga. Canadian Journal of Fisheries and Aquatic Sciences 55, 2105–2116.
102. Fouzai, N., Coll, M., Palomera, I., Santojanni, A., Arneri, E. and Christensen, V. (2012) Fishing management scenarios to rebuild exploited resources and ecosystems of the Northern-Central Adriatic (Mediterranean Sea). Journal of Marine Systems 102, 39–51.
103. Frank, K.T., Petrie, B., Choi, J.S. and Leggett, W.C. (2005) Trophic cascades in a formerly cod-dominated ecosystem. Science 308, 1621–1623.
104. Frank, K.T., Petrie, B., Shackell, N.L. and Choi, J.S. (2006) Reconciling differences in trophic control in mid-latitude marine ecosystems. Ecology Letters 9, 1096–1105.
105. Franke, A. and Clemmesen, C. (2011) Effect of ocean acidification on early life stages of Atlantic herring (Clupea harengus L.). Biogeosciences Discussions 8, 7097–7126.
106. Freitas, V., Cardoso, J.F.M.F., Lika, K. et al. (2010) Temperature tolerance and energetics: a dynamic energy budget-based comparison of North Atlantic marine species. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 365, 3553–3565.
107. Frommel, A., Stiebens, V., Clemmesen, C. and Havenhand, J. (2010) Effect of ocean acidification on marine fish sperm (Baltic cod: Gadus morhua). Biogeosciences Discussions 7, 5859–5872.
108. Frommel, A., Maneja, R., Lowe, D. et al. (2012) Severe tissue damage in Atlantic cod larvae under increasing ocean acidification. Nature Climate Change 2, 42–46.
109. Frøysa, K.G., Bogstad, B. and Skagen, D.W. (2002) Fleksibest – an age-length structured fish stock assessment model. Fisheries Research 55, 87–101.
110. Fulton, E.A. (2010) Approaches to end-to-end ecosystem models. Journal of Marine Systems 81, 171–183.
111. Fulton, E.A. and Gorton, R. (2014) Adaptive Futures for SE Australian Fisheries & Aquaculture: Climate Adaptation Simulations. CSIRO, Hobart, Tasmania, Australia.
112. Fulton, E.A., Smith, A.D.M. and Johnson, C.R. (2003) Effect of complexity on marine ecosystem models. Marine Ecology Progress Series 253, 1–16.
113. Fulton, E.A., Parslow, J.S., Smith, A.D.M. and Johnson, C.R. (2004) Biogeochemical marine ecosystem models II: the effect of physiological detail on model performance. Ecological Modelling 173, 371–406.
114. Fulton, E.A., Link, J.S., Kaplan, I.C. et al. (2011) Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish and Fisheries 12, 171–188.
115. Gallego, A., North, E.W. and Petitgas, P. (2007) Introduction: status and future of modelling physical-biological interactions during the early life of fishes. Marine Ecology Progress Series 347, 121–126.
116. Garrison, L.P., Link, J.S., Kilduff, D.P. et al. (2010) An expansion of the MSVPA approach for quantifying predator-prey interactions in exploited fish communities. ICES Journal of Marine Science 67, 856–870.
117. Gascuel, D. and Pauly, D. (2009) EcoTroph: modelling marine ecosystem functioning and impact of fishing. Ecological Modelling 220, 2885–2898.
118. Gascuel, D., Guenette, S. and Pauly, D. (2011) The trophic-level-based ecosystem modelling approach: theoretical overview and practical uses. ICES Journal of Marine Science 68, 1403–1416.
119. Gaylord, B., Kroeker, K.J., Sunday, J.M. et al. (2015) Ocean acidification through the lens of ecological theory. Ecology 96, 3–15.
120. Gilbert, N. and Terna, P. (2000) How to build and use agent-based models in social science. Mind & Society 1, 57–72.
121. Gilman, S.E., Urban, M.C., Tewksbury, J., Gilchrist, G.W. and Holt, R.D. (2010) A framework for community interactions under climate change. Trends in Ecology & Evolution 25, 325–331.
122. Giske, J., Eliassen, S., Fiksen, Ø. et al. (2014) The emotion system promotes diversity and evolvability. Proceedings of the Royal Society of London. Series B-Biological Sciences 281, 20141096.
123. Gislason, H. (1999) Single and multispecies reference points for Baltic fish stocks. ICES Journal of Marine Science 56, 571–583.
124. Goethel, D.R., Quinn, I., Terrance, J. and Cadrin, S.X. (2011) Incorporating spatial structure in stock assessment: movement modeling in marine fish population dynamics. Reviews in Fisheries Science 19, 119–136.
125. Gottlieb, S.J. (1998) Nutrient removal by age-0 Atlantic menhaden (Brevoortia tyrranus) in Chesapeake Bay and implications for seasonal management of the fishery. Ecological Modelling 112, 111–130.
126. Griffith, G.P. and Fulton, E.A. (2014) New approaches to simulating the complex interaction effects of multiple human impacts on the marine environment. ICES Journal of Marine Science 71, 764–774.
127. Griffith, G.P., Fulton, E.A., Gorton, R. and Richardson, A.J. (2012) Predicting interactions among fishing, ocean warming, and ocean acidification in a marine system with whole-ecosystem models. Conservation Biology 26, 1145–1152.
128. Grimm, V. (1999) Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future? Ecological Modelling 115, 129–148.
129. Guisan, A. and Thuiller, W. (2005) Predicting species distribution: offering more than simple habitat models. Ecology Letters 8, 993–1009.
130. Guisan, A. and Zimmermann, N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling 135, 147–186.
131. 2-induced ocean acidification increases anxiety in Rockfish via alteration of GABA(A) receptor functioning. Proceedings of the Royal Society of London. Series B-Biological Sciences 281, 20132509.
132. Hannah, C., Vezina, A. and John, M.S. (2010) The case for marine ecosystem models of intermediate complexity. Progress in Oceanography 84, 121–128.
133. Hansen, M.J., Boisclair, D., Brandt, S.B. et al. (1993) Applications of bioenergetics models to fish ecology and management: where do we go from here? Transactions of the American Fisheries Society 122, 1019–1030.
134. Hare, J.A. (2014) The future of fisheries oceanography lies in the pursuit of multiple hypotheses. ICES Journal of Marine Science 71, 2343–2356.
135. Hartman, K.J. and Kitchell, J.F. (2008) Bioenergetics modeling: progress since the 1992 symposium. Transactions of the American Fisheries Society 137, 216–223.
136. Hartog, J.R., Hobday, A.J., Matear, R. and Feng, M. (2011) Habitat overlap between southern bluefin tuna and yellowfin tuna in the east coast longline fishery – implications for present and future spatial management. Deep-Sea Research. Part II, Topical Studies in Oceanography 58, 746–752.
137. Hartvig, M., Andersen, K.H. and Beyer, J.E. (2011) Food web framework for size-structured populations. Journal of Theoretical Biology 272, 113–122.
138. Heath, M.R. (2012) Ecosystem limits to food web fluxes and fisheries yields in the North Sea simulated with an end-to-end food web model. Progress in Oceanography 102, 42–66.
139. Heath, M.R., Kunzlik, P.A., Gallego, A., Holmes, S. and Wright, P.J. (2008) A model of meta-population dynamics for North Sea and West of Scotland cod – the dynamic consequences of natal fidelity. Fisheries Research 93, 92–116.
140. Heikkinen, R.K., Luoto, M., Araujo, M.B., Virkkala, R., Thuiller, W. and Sykes, M.T. (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography 30, 751–777.
141. Heisler, N. (1984) Acid-base regulation in fishes. Fish Physiology 10, 315–401.
142. Hemmer-Hansen, J., Nielsen, E.E., Therkildsen, N.O. et al. (2013) A genomic island linked to ecotype divergence in Atlantic cod. Molecular Ecology 22, 2653–2667.
143. Hemmer-Hansen, J., Therkildsen, N.O. and Pujolar, J.M. (2014) Population genomics of marine fishes: next-generation prospects and challenges. Biological Bulletin 227, 117–132.
144. Hermann, A.J., Hinckley, S., Megrey, B.A. and Napp, J.M. (2001) Applied and theoretical considerations for constructing spatially explicit individual-based models of marine larval fish that include multiple trophic levels. ICES Journal of Marine Science 58, 1030–1041.
145. Heymans, J.J., Coll, M., Libralato, S., Morissette, L. and Christensen, V. (2014) Global patterns in ecological indicators of marine food webs: a modelling approach. PLoS ONE 9, e95845.
146. Hidalgo, M., Gusdal, Y., Dingsor, G.E. et al. (2012) A combination of hydrodynamical and statistical modelling reveals non-stationary climate effects on fish larvae distributions. Proceedings of the Royal Society of London. Series B-Biological Sciences 279, 275–283.
147. Hilborn, R. (2012) The evolution of quantitative marine fisheries management 1985–2010. Natural Resource Modeling 25, 122–144.
148. 2 and temperature on the Arctic calanoid copepods Calanus glacialis and C. hyperboreus. Marine Pollution Bulletin 80, 59–70.
149. Hilmi, N., Allemand, D., Dupont, S. et al. (2013) Towards improved socio-economic assessments of ocean acidification's impacts. Marine Biology 160, 1773–1787.
150. Hinckley, S., Hermann, A.J. and Megrey, B.A. (1996) Development of a spatially explicit, individual-based model of marine fish early life history. Marine Ecology Progress Series 139, 47–68.
151. Hinrichsen, H.H., Dickey-Collas, M., Huret, M., Peck, M.A. and Vikebo, F.B. (2011) Evaluating the suitability of coupled biophysical models for fishery management. ICES Journal of Marine Science 68, 1478–1487.
152. Hölker, F. and Breckling, B. (2005) A spatiotemporal individual-based fish model to investigate emergent properties at the organismal and the population level. Ecological Modelling 186, 406–426.
153. Holling, C.S. (1959) The components of predation as revealed by a study of small-mammal predation of the European pine sawfly. The Canadian Entomologist 5, 293–320.
154. Hollowed, A.B. (2000) Are multispecies models an improvement on single-species models for measuring fishing impacts on marine ecosystems? ICES Journal of Marine Science 57, 707–719.
155. Hollowed, A.B., Bond, N.A., Wilderbuer, T.K. et al. (2009) A framework for modelling fish and shellfish responses to future climate change. ICES Journal of Marine Science 66, 1584–1594.
156. Hollowed, A.B., Curchitser, E.N., Stock, C.A. and Zhang, C.I. (2012) Trade-offs associated with different modeling approaches for assessment of fish and shellfish responses to climate change. Climatic Change 119, 111–129.
157. Hollowed, A.B., Barange, M., Beamish, R.J. et al. (2013) Projected impacts of climate change on marine fish and fisheries. ICES Journal of Marine Science 70, 1023–1037.
158. Holsman, K.K., Essington, T., Miller, T.J., Koen-Alonso, M. and Stockhausen, W.J. (2012) Comparative analysis of cod and herring production dynamics across 13 northern hemisphere marine ecosystems. Marine Ecology Progress Series 459, 231–246.
159. Holt, R.E. and Jørgensen, C. (2014) Climate warming causes life-history evolution in a model for Atlantic cod (Gadus morhua). Conservation Physiology 2, 1–16.
160. Holt, R.E. and Jørgensen, C. (2015) Climate change in fish: effects of respiratory constraints on optimal life history and behaviour. Biology Letters 11, 20141032.
161. Howell, D., Filin, A.A., Bogstad, B. and Stiansen, J.E. (2013) Unquantifiable uncertainty in projecting stock response to climate change: example from North East Arctic cod. Marine Biology Research 9, 920–931.
162. Huebert, K.B. and Peck, M.A. (2014) A day in the life of fish larvae: modeling foraging and growth using quirks. PLoS ONE 9, e98205.
163. Hunsicker, M.E., Ciannelli, L., Bailey, K.M. et al. (2011) Functional responses and scaling in predator-prey interactions of marine fishes: contemporary issues and emerging concepts. Ecology Letters 14, 1288–1299.
164. Huse, G. and Fiksen, Ø. (2010) Modelling encounter rates and distribution of mobile predators and prey. Progress in Oceanography 84, 93–104.
165. Huston, M., DeAngelis, D. and Post, W. (1988) New computer models unify ecological theory. BioScience 38, 682–691.
166. 2 and carbonic anhydrase. Cell Motility and the Cytoskeleton 55, 174–187.
167. Ito, S., Kishi, M.J., Kurita, Y. et al. (2004) Initial design for a fish bioenergetics model of Pacific saury coupled to a lower trophic ecosystem model. Fisheries Oceanography 13, 111–124.
168. Jacobsen, N.S., Gislason, H. and Andersen, K.H. (2014) The consequences of balanced harvesting of fish communities. Proceedings of the Royal Society of London. Series B-Biological Sciences 281, 20132701.
169. Janssen, M.A., Bodin, O., Anderies, J.M. et al. (2006) Toward a network perspective of the study of resilience in social-ecological systems. Ecology and Society 11, 15.
170. Jennings, S. and Brander, K. (2010) Predicting the effects of climate change on marine communities and the consequences for fisheries. Journal of Marine Systems 79, 418–426.
171. Jones, M.C., Dye, S.R., Pinnegar, J.K., Warren, R. and Cheung, W.W. (2014) Using scenarios to project the changing profitability of fisheries under climate change. Fish and Fisheries, 16, 603–622.
172. Jørgensen, C. and Fiksen, Ø. (2006) State-dependent energy allocation in cod (Gadus morhua). Canadian Journal of Fisheries and Aquatic Sciences 63, 186–199.
173. Jørgensen, C., Enberg, K., Dunlop, E.S. et al. (2007) Managing evolving fish stocks. Science, 318, 1247–1248.
174. Jørgensen, C., Peck, M.A., Antognarelli, F. et al. (2012) Conservation physiology of marine fishes: advancing the predictive capacity of models. Biology Letters 8, 900–903.
175. Judson, O.P. (1994) The rise of the individual-based model in ecology. Trends in Ecology & Evolution 9, 9–14.
176. 2 exposure. Frontiers in Zoology 10, 81.
177. 2 levels. PLoS ONE 8, e65825.
178. Kaplan, I.C., Horne, P.J. and Levin, P.S. (2012) Screening California Current fishery management scenarios using the Atlantis end-to-end ecosystem model. Progress in Oceanography 102, 5–18.
179. Kaschner, K., Watson, R., Trites, A.W. and Pauly, D. (2006) Mapping world-wide distributions of marine mammal species using a relative environmental suitability (RES) model. Marine Ecology Progress Series 316, 285–310.
180. Kearney, M. and Porter, W. (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges. Ecology Letters 12, 334–350.
181. Kearney, M., Simpson, S.J., Raubenheimer, D. and Helmuth, B. (2010) Modelling the ecological niche from functional traits. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 365, 3469–3483.
182. Keith, D.A., Akcakaya, H.R., Thuiller, W. et al. (2008) Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biology Letters 4, 560–563.
183. Kempf, A., Dingsor, G.E., Huse, G., Vinther, M., Floeter, J. and Temming, A. (2010) The importance of predator-prey overlap: predicting North Sea cod recovery with a multispecies assessment model. ICES Journal of Marine Science 67, 1989–1997.
184. Keyl, F. and Wolff, M. (2007) Environmental variability and fisheries: what can models do? Reviews in Fish Biology and Fisheries 18, 273–299.
185. Kitagawa, T., Nakata, H., Kimura, S., Itoh, T., Tsuji, S. and Nitta, A. (2000) Effect of ambient temperature on the vertical distribution and movement of Pacific bluefin tuna Thunnus thynnus orientalis. Marine Ecology Progress Series 206, 251–260.
186. Kjesbu, O.S., Bogstad, B., Devine, J.A. et al. (2014) Synergies between climate and management for Atlantic cod fisheries at high latitudes. Proceedings of the National Academy of Sciences of the United States of America 111, 3478–3483.
187. Klanjscek, T., Caswell, H., Neubert, M.G. and Nisbet, R.M. (2006) Integrating dynamic energy budgets into matrix population models. Ecological Modelling 196, 407–420.
188. Knudby, A., Brenning, A. and LeDrew, E. (2010) New approaches to modelling fish–habitat relationships. Ecological Modelling 221, 503–511.
189. Knutsen, H., Moland Olsen, E., Ciannelli, L. et al. (2007) Egg distribution, bottom topography and small-scale cod population structure in a coastal marine system. Marine Ecology Progress Series 333, 249–255.
190. Kooijman, S.A.L.M. (2000) Dynamic Energy and Mass Budgets in Biological Systems, 2nd edn, Vol. Cambridge University Press, Cambridge, UK; New York, NY, USA.
191. Köster, F.W., Hinrichsen, H.-H., St John, M.A. et al. (2001) Developing Baltic cod recruitment models. II. Incorporation of environmental variability and species interaction. Canadian Journal of Fisheries and Aquatic Sciences 58, 1534–1556.
192. Kristiansen, T., Jorgensen, C., Lough, R.G., Vikebo, F. and Fiksen, Ø. (2009) Modeling rule-based behavior: habitat selection and the growth-survival trade-off in larval cod. Behavioral Ecology 20, 490–500.
193. Kristiansen, T., Drinkwater, K.F., Lough, R.G. and Sundby, S. (2011) Recruitment variability in north Atlantic cod and match-mismatch dynamics. PLoS ONE 6, e17456.
194. Lassalle, G., Bourdaud, P., Saint-Béat, B., Rochette, S. and Niquil, N. (2014) A toolbox to evaluate data reliability for whole-ecosystem models: application on the Bay of Biscay continental shelf food-web model. Ecological Modelling 285, 13–21.
195. Law, R. (2000) Fishing, selection, and phenotypic evolution. ICES Journal of Marine Science 57, 659–668.
196. Le Quesne, W.J.F. and Pinnegar, J.K. (2012) The potential impacts of ocean acidification: scaling from physiology to fisheries. Fish and Fisheries 13, 333–344.
197. Leduc, A.O.H.C., Munday, P.L., Brown, G.E. and Ferrari, M.C.O. (2013) Effects of acidification on olfactory-mediated behaviour in freshwater and marine ecosystems: a synthesis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 368, 20120447.
198. Lefort, S., Aumont, O., Bopp, L., Arsouze, T., Gehlen, M. and Maury, O. (2015) Spatial and body-size dependent response of marine pelagic communities to projected global climate change. Global Change Biology 21, 154–164.
199. Lehodey, P., Alheit, J., Barange, M. et al. (2006) Climate variability, fish, and fisheries. Journal of Climate 19, 5009–5030.
200. Lehodey, P., Senina, I. and Murtugudde, R. (2008) A spatial ecosystem and populations dynamics model (SEAPODYM) – Modeling of tuna and tuna-like populations. Progress in Oceanography 78, 304–318.
201. Lehodey, P., Senina, I., Nicol, S. and Hampton, J. (2015) Modelling the impact of climate change on South Pacific albacore tuna. Deep-Sea Research. Part II, Topical Studies in Oceanography 113, 246–259.
202. Lenoir, S., Beaugrand, G. and Lecuyer, É. (2010) Modelled spatial distribution of marine fish and projected modifications in the North Atlantic Ocean. Global Change Biology 17, 115–129.
203. Lett, C., Verley, P., Mullon, C. et al. (2008) A Lagrangian tool for modelling ichthyoplankton dynamics. Environmental Modelling and Software 23, 1210–1214.
204. Lett, C., Ayata, S.-D., Huret, M. and Irisson, J.-O. (2010) Biophysical modelling to investigate the effects of climate change on marine population dispersal and connectivity. Progress in Oceanography 87, 106–113.
205. Lewy, P. and Vinther, M. (2004) A stochastic age-length-structured multispecies model applied to North Sea stocks. ICES CM 2004/FF 20, 33 pp.
206. Libralato, S. and Solidoro, C. (2009) Bridging biogeochemical and food web models for an End-to-End representation of marine ecosystem dynamics: the Venice lagoon case study. Ecological Modelling 220, 2960–2971.
207. Lika, K. and Kooijman, S.A.L.M. (2011) The comparative topology of energy allocation in budget models. Journal of Sea Research 66, 381–391.
208. Lindegren, M. and Checkley, D.M. (2013) Temperature dependence of Pacific sardine (Sardinops sagax) recruitment in the California Current Ecosystem revisited and revised. Canadian Journal of Fisheries and Aquatic Sciences 70, 245–252.
209. Lindstrøm, U., Smout, S., Howell, D. and Bogstad, B. (2009) Modelling multi-species interactions in the Barents Sea ecosystem with special emphasis on minke whales and their interactions with cod, herring and capelin. Deep-Sea Research. Part II, Topical Studies in Oceanography 56, 2068–2079.
210. Link, J.S. (2010) Adding rigor to ecological network models by evaluating a set of pre-balance diagnostics: a plea for PREBAL. Ecological Modelling 221, 1580–1591.
211. Link, J., Overholtz, W., O'Reilly, J. et al. (2008) The Northeast US continental shelf Energy Modeling and Analysis exercise (EMAX): ecological network model development and basic ecosystem metrics. Journal of Marine Systems 74, 453–474.
212. Link, J.S., Bogstad, B., Sparholt, H. and Lilly, G.R. (2009) Trophic role of Atlantic cod in the ecosystem. Fish and Fisheries 10, 58–87.
213. Liquete, C., Piroddi, C., Drakou, E.G. et al. (2013) Current status and future prospects for the assessment of marine and coastal ecosystem services: a systematic review. PLoS ONE 8, e67737.
214. Lischka, S. and Riebesell, U. (2012) Synergistic effects of ocean acidification and warming on overwintering pteropods in the Arctic. Global Change Biology 18, 3517–3528.
215. Livi, C.M., Jordán, F., Lecca, P. and Okey, T.A. (2011) Identifying key species in ecosystems with stochastic sensitivity analysis. Ecological Modelling 222, 2542–2551.
216. Livingston, P. (2000) A multispecies virtual population analysis of the eastern Bering Sea. ICES Journal of Marine Science 57, 294–299.
217. Llopiz, J.K., Cowen, R.K., Hauff, M.J. et al. (2014) Early life history and fisheries oceanography new questions in a changing world. Oceanography 27, 26–41.
218. Logan, C.A. and Buckley, B.A. (2015) Transcriptomic responses to environmental temperature in eurythermal and stenothermal fishes. Journal of Experimental Biology 218, 1915–1924.
219. Lurgi, M., Brook, B.W., Saltré, F. and Fordham, D.A. (2015) Modelling range dynamics under global change: which framework and why? Methods in Ecology and Evolution, 6, 247–256.
220. Magnússon, K. (1995) An overview of the multispecies VPA – theory and applications. Reviews in Fish Biology and Fisheries 5, 195–212.
221. Mangel, M. and Levin, P.S. (2005) Regime, phase and paradigm shifts: making community ecology the basic science for fisheries. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 360, 95–105.
222. Mariani, P. and Visser, A.W. (2010) Optimization and emergence in marine ecosystem models. Progress in Oceanography 84, 89–92.
223. Martin, B.T., Zimmer, E.I., Grimm, V. and Jager, T. (2011) Dynamic Energy Budget theory meets individual-based modelling: a generic and accessible implementation. Methods in Ecology and Evolution 3, 445–449.
224. Martin, B.T., Jager, T., Nisbet, R.M., Preuss, T.G. and Grimm, V. (2013) Predicting population dynamics from the properties of individuals: a cross-level test of dynamic energy budget theory. The American Naturalist 181, 506–519.
225. Maury, O. (2010) An overview of APECOSM, a spatialized mass balanced “Apex Predators ECOSystem Model” to study physiologically structured tuna population dynamics in their ecosystem. Progress in Oceanography 84, 113–117.
226. Maury, O. and Poggiale, J.-C. (2013) From individuals to populations to communities: a dynamic energy budget model of marine ecosystem size-spectrum including life history diversity. Journal of Theoretical Biology 324, 52–71.
227. van der Meer, J. (2006) An introduction to Dynamic Energy Budget (DEB) models with special emphasis on parameter estimation. Journal of Sea Research 56, 85–102.
228. Megrey, B.A., Rose, K.A., Klumb, R.A. et al. (2007) A bioenergetics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient–phytoplankton–zooplankton model: description, calibration, and sensitivity analysis. Ecological Modelling 202, 144–164.
229. 2. Aquatic Toxicology 92, 30–37.
230. 2 tolerance in marine ectothermic animals: pre-adaptation through lifestyle and ontogeny? Biogeosciences 6, 2313–2331.
231. Merino, G., Barange, M. and Mullon, C. (2010) Climate variability and change scenarios for a marine commodity: modelling small pelagic fish, fisheries and fishmeal in a globalized market. Journal of Marine Systems 81, 196–205.
232. Metcalf, S., Dambacher, J., Hobday, A. and Lyle, J. (2008) Importance of trophic information, simplification and aggregation error in ecosystem models. Marine Ecology Progress Series 360, 25–36.
233. Metcalfe, J.D., Le Quesne, W.J.F., Cheung, W.W.L. and Righton, D.A. (2012) Conservation physiology for applied management of marine fish: an overview with perspectives on the role and value of telemetry. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 367, 1746–1756.
234. Michaelidis, B., Spring, A. and Pörtner, H.O. (2007) Effects of long-term acclimation to environmental hypercapnia on extracellular acid-base status and metabolic capacity in Mediterranean fish Sparus aurata. Marine Biology 150, 1417–1429.
235. Miller, T.J. (2007) Contribution of individual-based coupled physical-biological models to understanding recruitment in marine fish populations. Marine Ecology Progress Series 347, 127–138.
236. Miller, K., Charles, A., Barange, M. et al. (2010) Climate change, uncertainty, and resilient fisheries: institutional responses through integrative science. Progress in Oceanography 87, 338–346.
237. Miller, G.M., Watson, S.A., Donelson, J.M., McCormick, M.I. and Munday, P.L. (2012) Parental environment mediates impacts of increased carbon dioxide on a coral reef fish. Nature Climate Change 2, 858–861.
238. Miller, G.M., Kroon, F.J., Metcalfe, S. and Munday, P.L. (2015) Temperature is the evil twin: effects of increased temperature and ocean acidification on reproduction in a reef fish. Ecological Applications 25, 603–620.
239. Mittelbach, G.G., Ballew, N.G. and Kjelvik, M.K. (2014) Fish behavioral types and their ecological consequences. Canadian Journal of Fisheries and Aquatic Sciences 71, 927–944.
240. Moloney, C.L., St John, M.A., Denman, K.L. et al. (2011) Weaving marine food webs from end to end under global change. Journal of Marine Systems 84, 106–116.
241. Monaco, C.J. and Helmuth, B. (2011) Tipping points, thresholds and the keystone role of physiology in marine climate change research, In: Advances in Marine Biology (ed. M. Lesser), Vol. 60. Elsevier, Amsterdam, pp. 123–160.
242. Mouillot, D., Graham, N.A.J., Villéger, S., Mason, N.W.H. and Bellwood, D.R. (2013) A functional approach reveals community responses to disturbances. Trends in Ecology & Evolution 28, 167–177.
243. Mullon, C., Cury, P. and Penven, P. (2002) Evolutionary individual-based model for the recruitment of anchovy (Engraulis capensis) in the southern Benguela. Canadian Journal of Fisheries and Aquatic Sciences 59, 910–922.
244. Munday, P.L. (2014) Transgenerational acclimation of fishes to climate change and ocean acidification. F1000Prime Reports 6, 99.
245. Munday, P.L., Dixson, D.L., Mccormick, M.I., Meekan, M., Ferrari, M.C.O. and Chivers, D.P. (2010) Replenishment of fish populations is threatened by ocean acidification. Proceedings of the National Academy of Sciences of the United States of America 107, 12930–12934.
246. 2 affects the behavior of an ecologically and economically important coral reef fish. Marine Biology 160, 2137–2144.
247. Munday, P.L., Warner, R.R., Monro, K., Pandolfi, J.M. and Marshall, D.J. (2013b) Predicting evolutionary responses to climate change in the sea. Ecology Letters 16, 1488–1500.
248. de Mutsert, K., Steenbeek, J., Lewis, K. and Buszowski, J. (2015) Exploring effects of hypoxia on fish and fisheries in the northern Gulf of Mexico using a dynamic spatially explicit ecosystem model. Ecological Modelling. doi: 10.1016/j.ecolmodel.2015.10.013.
249. Myers, R.A. (1998) When do environment-recruitment correlations work? Reviews in Fish Biology and Fisheries 8, 285–305.
250. Nagelkerken, I. and Munday, P.L. (2015) Animal behaviour shapes the ecological effects of ocean acidification and warming: moving from individual to community-level responses. Global Change Biology 22, 974–89.
251. Nagelkerken, I., Russell, B.D., Gillanders, B.M. and Connell, S.D. (2015) Ocean acidification alters fish populations indirectly through habitat modification. Nature Climate Change 6, 89–93.
252. Needle, C.L. (2001) Recruitment models: diagnosis and prognosis. Reviews in Fish Biology and Fisheries 11, 95–111.
253. Nielsen, E.E., Hemmer-Hansen, J., Larsen, P.F. and Bekkevold, D. (2009) Population genomics of marine fishes: identifying adaptive variation in space and time. Molecular Ecology 18, 3128–3150.
254. Nikinmaa, M. (2013) Climate change and ocean acidification Interactions with aquatic toxicology. Aquatic Toxicology 126, 365–372.
255. Nilsson, G.E., Dixson, D.L., Domenici, P. et al. (2012) Near-future carbon dioxide levels alter fish behaviour by interfering with neurotransmitter function. Nature Climate Change 2, 201–204.
256. Nisbet, R.M., Muller, E.B., Lika, K. and Kooijman, S.A.L.M. (2000) From molecules to ecosystems through dynamic energy budget models. Journal of Animal Ecology 69, 913–926.
257. Nisbet, R.M., Jusup, M., Klanjscek, T. and Pecquerie, L. (2012) Integrating dynamic energy budget (DEB) theory with traditional bioenergetic models. Journal of Experimental Biology 215, 1246.
258. Norman-Lopez, A., Plaganyi, E., Skewes, T. et al. (2013) Linking physiological, population and socio-economic assessments of climate-change impacts on fisheries. Fisheries Research 148, 18–26.
259. O'Connor, M.I., Bruno, J.F., Gaines, S.D. et al. (2007) Temperature control of larval dispersal and the implications for marine ecology, evolution, and conservation. Proceedings of the National Academy of Sciences of the United States of America 104, 1266–1271.
260. Oomen, R.A. and Hutchings, J.A. (2015) Variation in spawning time promotes genetic variability in population responses to environmental change in a marine fish. Conservation Physiology 3, cov027.
261. Österblom, H., Merrie, A., Metian, M. et al. (2013) Modeling social-ecological scenarios in marine systems. BioScience 63, 735–744.
262. Ottersen, G., Hjermann, D.O. and Stenseth, N.C. (2006) Changes in spawning stock structure strengthen the link between climate and recruitment in a heavily fished cod (Gadus morhua) stock. Fisheries Oceanography 15, 230–243.
263. Ottersen, G., Stige, L.C., Durant, J.M. et al. (2013) Temporal shifts in recruitment dynamics of North Atlantic fish stocks: effects of spawning stock and temperature. Marine Ecology Progress Series 480, 205–225.
264. Pauly, D. (2010) Gasping Fish and Panting Squids: Oxygen, Temperature and the Growth of Water-Breathing Animals. Excellence in Ecology, Vol. 22, International Ecology Institute, Oldendorf/Luhe, Germany.
265. Peck, M.A. and Hufnagl, M. (2012) Can IBMs tell us why most larvae die in the sea? Model sensitivities and scenarios reveal research needs. Journal of Marine Systems 93, 77–93.
266. Pecquerie, L., Petitgas, P. and Kooijman, S.A.L.M. (2009) Modeling fish growth and reproduction in the context of the Dynamic Energy Budget theory to predict environmental impact on anchovy spawning duration. Journal of Sea Research 62, 93–105.
267. Pecuchet, L., Nielsen, J.R. and Christensen, A. (2015) Impacts of the local environment on recruitment: a comparative study of North Sea and Baltic Sea fish stocks. ICES Journal of Marine Science 72, 1323–1335.
268. Perez-Rodriguez, A. and Saborido-Rey, F. (2012) Food consumption of Flemish Cap cod Gadus morhua and redfish Sebastes sp. using generic bioenergetic models. 1–15.
269. Perry, R.I. and Ommer, R.E. (2003) Scale issues in marine ecosystems and human interactions. Fisheries Oceanography 12, 513–522.
270. Perry, A.L., Low, P.J., Ellis, J.R. and Reynolds, J.D. (2005) Climate change and distribution shifts in marine fishes. Science 308, 1912–1915.
271. Perry, R.I., Cury, P., Brander, K., Jennings, S., Möllmann, C. and Planque, B. (2010) Sensitivity of marine systems to climate and fishing: concepts, issues and management responses. Journal of Marine Systems 79, 427–435.
272. Perry, R.I., Ommer, R.E., Barange, M., Jentoft, S., Neis, B. and Sumaila, U.R. (2011) Marine social-ecological responses to environmental change and the impacts of globalization. Fish and Fisheries 12, 427–450.
273. Persson, L., Van Leeuwen, A. and De Roos, A.M. (2014) The ecological foundation for ecosystem-based management of fisheries: mechanistic linkages between the individual-, population-, and community-level dynamics. ICES Journal of Marine Science 71, 2268–2280.
274. Petitgas, P., Rijnsdorp, A.D., Dickey-Collas, M. et al. (2012) Impacts of climate change on the complex life cycles of fish. Fisheries Oceanography 22, 1–19.
275. Petrie, B., Frank, K.T., Shackell, N.L. and Leggett, W.C. (2009) Structure and stability in exploited marine fish communities: quantifying critical transitions. Fisheries Oceanography 18, 83–101.
276. Piou, C. and Prévost, E. (2012) A demo-genetic individual-based model for Atlantic salmon populations: model structure, parameterization and sensitivity. Ecological Modelling 231, 37–52.
277. Pistevos, J.C.A., Nagelkerken, I., Rossi, T., Olmos, M. and Connell, S.D. (2015) Ocean acidification and global warming impair shark hunting behaviour and growth. Scientific Reports 5, 16293.
278. Plagányi, É.E. (2007) Models for an ecosystem approach to fisheries. FAO Fisheries Technical Paper, pp. 1–124.
279. Plagányi, E.E., Bell, J.D., Bustamante, R.H. et al. (2011) Modelling climate-change effects on Australian and Pacific aquatic ecosystems: a review of analytical tools and management implications. Marine and Freshwater Research 62, 1132.
280. Plagányi, E.E., Ellis, N., Blamey, L.K. et al. (2014a) Ecosystem modelling provides clues to understanding ecological tipping points. Marine Ecology Progress Series 512, 99–113.
281. Plagányi, E.E., Punt, A.E., Hillary, R. et al. (2014b) Multispecies fisheries management and conservation: tactical applications using models of intermediate complexity. Fish and Fisheries 15, 1–22.
282. Polovina, J.J. (1984) Model of a coral-reef ecosystem. 1. The ecopath model and its application to French Frigate Shoals. Coral Reefs 3, 1–11.
283. Pope, J.G. (1979) A modified cohort analysis in which constant natural mortality is replaced by estimates of predation levels.
284. Pope, J.G. (1991) The ICES multispecies assessment working group: evolution, insights, and future problems. ICES Marine Science Symposium.
285. Pope, J.G., Rice, J.C., Daan, N., Jennings, S. and Gislason, H. (2006) Modelling an exploited marine fish community with 15 parameters – results from a simple size-based model. ICES Journal of Marine Science 63, 1029–1044.
286. Pope, J.G., Falk-Pedersen, J., Jennings, S., Rice, J.C., Gislason, H. and Daan, N. (2009) Honey, I cooled the cods: modelling the effect of temperature on the structure of Boreal/Arctic fish ecosystems. Deep-Sea Research. Part II, Topical Studies in Oceanography 56, 2097–2107.
287. Pörtner, H.-O. (2010) Oxygen- and capacity-limitation of thermal tolerance: a matrix for integrating climate-related stressor effects in marine ecosystems. The Journal of Experimental Biology 213, 881–893.
288. Pörtner, H.O. (2012) Integrating climate-related stressor effects on marine organisms: unifying principles linking molecule to ecosystem-level changes. Marine Ecology Progress Series 470, 273–290.
289. Pörtner, H.O. and Farrell, A.P. (2008) Physiology and climate change. Science 322, 690–692.
290. Pörtner, H.O. and Peck, M.A. (2010) Climate change effects on fishes and fisheries: towards a cause-and-effect understanding. Journal of Fish Biology 77, 1745–1779.
291. Pörtner, H.O., Mark, F.C. and Bock, C. (2004) Oxygen limited thermal tolerance in fish? – answers obtained by nuclear magnetic resonance techniques. Respiratory Physiology & Neurobiology 141, 243–260.
292. Pörtner, H.O., Karl, D.M., Boyd, P.W. et al. (2014) Ocean systems. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds C.B. Field, V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea and L.L. White). Cambridge University Press, Cambridge, UK & New York, USA, pp. 411–484.
293. Prato, G., Gascuel, D., Valls, A. and Francour, P. (2014) Balancing complexity and feasibility in Mediterranean coastal food-web models: uncertainty and constraints. Marine Ecology Progress Series 512, 71–88.
294. Queirós, A.M., Fernandes, J.A., Faulwetter, S. et al. (2015) Scaling up experimental ocean acidification and warming research: from individuals to the ecosystem. Global Change Biology 21, 130–143.
295. Radtke, H., Neumann, T. and Fennel, W. (2013) A Eulerian nutrient to fish model of the Baltic Sea – a feasibility-study. Journal of Marine Systems 125, 61–76.
296. Railsback, S.F., Lytinen, S.L. and Jackson, S.K. (2006) Agent-based simulation platforms: review and development recommendations. Simulation 82, 609–623.
297. Reusch, T.B.H. (2014) Climate change in the oceans: evolutionary versus phenotypically plastic responses of marine animals and plants. Evolutionary Applications 7, 104–122.
298. Reuter, H., Hölker, F., Middelhoff, U., Jopp, F., Eschenbach, C. and Breckling, B. (2005) The concepts of emergent and collective properties in individual-based models – summary and outlook of the Bornhoved case studies. Ecological Modelling 186, 489–501.
299. Reuter, H., Jopp, F., Holker, F., Eschenbach, C., Middelhoff, U. and Breckling, B. (2008) The ecological effect of phenotypic plasticity – analyzing complex interaction networks (COIN) with agent-based models. Ecological Informatics 3, 35–45.
300. Reuter, H., Jopp, F., Blanco-Moreno, J.M., Damgaard, C., Matsinos, Y. and DeAngelis, D.L. (2010) Ecological hierarchies and self-organisation – pattern analysis, modelling and process integration across scales. Basic and Applied Ecology 11, 572–581.
301. Ricker, W.E. (1954) Stock and recruitment. Journal of the Fisheries Research Board of Canada 11, 559–623.
302. Riebesell, U. and Gattuso, J.-P. (2015) Lessons learned from ocean acidification research. Nature Climate Change 5, 12–14.
303. Rijnsdorp, A.D., Peck, M.A., Engelhard, G.H., Mollmann, C. and Pinnegar, J.K. (2009) Resolving the effect of climate change on fish populations. ICES Journal of Marine Science 66, 1570–1583.
304. Rindorf, A. and Lewy, P. (2006) Warm, windy winters drive cod north and homing of spawners keeps them there. Journal of Applied Ecology 43, 445–453.
305. Rindorf, A., Schmidt, J., Bogstad, B., Reeves, S. and Walther, Y. (2013) A Framework for Multispecies Assessment and Management. An ICES/NCM Background Document.
306. Robinson, L.M., Elith, J., Hobday, A.J. et al. (2011) Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities. Global Ecology and Biogeography 20, 789–802.
307. Roessig, J.M., Woodley, C.M., Cech, J., Joseph, J. and Hansen, L.J. (2005) Effects of global climate change on marine and estuarine fishes and fisheries. Reviews in Fish Biology and Fisheries 14, 251–275.
308. Rose, G.A. (2004) Reconciling overfishing and climate change with stock dynamics of Atlantic cod (Gadus morhua) over 500 years. Canadian Journal of Fisheries and Aquatic Sciences 61, 1553–1557.
309. Rose, G.A. (2005) On distributional responses of North Atlantic fish to climate change. ICES Journal of Marine Science 62, 1360–1374.
310. Rose, K.A. (2012) End-to-end models for marine ecosystems: are we on the precipice of a significant advance or just putting lipstick on a pig? Scientia Marina 76, 195–201.
311. Rose, K.A. and Sable, S.E. (2009) Multispecies modeling of fish populations. In: Computers in Fisheries Research (eds Megrey B.A. and Moksness E.), 2nd edn. Springer, Netherlands, Dordrecht, pp. 373–397.
312. Rose, K.A., Cowan, J., James, H., Winemiller, K.O., Myers, R.A. and Hilborn, R. (2001) Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis. Fish and Fisheries 2, 293–327.
313. Rose, K.A., Megrey, B.A., Hay, D., Werner, F. and Schweigert, J. (2008) Climate regime effects on Pacific herring growth using coupled nutrient-phytoplankton-zooplankton and bioenergetics models. Transactions of the American Fisheries Society 137, 278–297.
314. Rose, K.A., Allen, J.I., Artioli, Y. et al. (2010) End-to-end models for the analysis of marine ecosystems: challenges, issues, and next steps. Marine and Coastal Fisheries 2, 115–130.
315. Rose, K.A., Fiechter, J., Curchitser, E.N. et al. (2015) Demonstration of a fully-coupled end-to-end model for small pelagic fish using sardine and anchovy in the California Current. Progress in Oceanography 138, 348–380.
316. Rossoll, D., Bermudez, R., Hauss, H. et al. (2012) Ocean acidification-induced food quality deterioration constrains trophic transfer. PLoS ONE 7, e34737.
317. Rothschild, B.J., Osborn, T.R., Dickey, T.D. and Farmer, D.M. (1989) The physical basis for recruitment variability in fish populations. Journal Du Conseil 45, 136–145.
318. 2 enhances aerobic scope of a coral reef fish. Conservation Physiology 1, 1–7.
319. Runge, J.A., Kovach, A.I., Churchill, J.H. et al. (2010) Understanding climate impacts on recruitment and spatial dynamics of Atlantic cod in the Gulf of Maine: integration of observations and modeling. Progress in Oceanography 87, 251–263.
320. Russell, B.D., Harley, C.D.G., Wernberg, T. et al. (2012) Predicting ecosystem shifts requires new approaches that integrate the effects of climate change across entire systems. Biology Letters 8, 164–166.
321. Ruth, M. and Lindholm, J. (1996) Dynamic modelling of multispecies fisheries for consensus building and management. Environmental Conservation 23, 332–342.
322. Scheffer, M., Baveco, J.M., DeAngelis, D.L., Rose, K.A. and van Nes, E.H. (1995) Super-individuals a simple solution for modelling large populations on an individual basis. Ecological Modelling 80, 161–170.
323. Schlüter, M., Mcallister, R.R.J., Arlinghaus, R. et al. (2012) New horizons for managing the environment: a review of coupled social-ecological systems modeling. Natural Resource Modeling 25, 219–272.
324. Scott, F., Blanchard, J.L. and Andersen, K.H. (2014) mizer: an R package for multispecies, trait-based and community size spectrum ecological modelling. Methods in Ecology and Evolution 5, 1121–1125.
325. Shama, L.N.S., Strobel, A., Mark, F.C. and Wegner, K.M. (2014) Transgenerational plasticity in marine sticklebacks: maternal effects mediate impacts of a warming ocean. Functional Ecology 28, 1482–1493.
326. Shannon, L.J., Christensen, V. and Walters, C.J. (2004) Modelling stock dynamics in the southern Benguela ecosystem for the period 1978–2002. African Journal of Marine Science 26, 179–196.
327. Shin, Y.J. and Cury, P. (2001) Exploring fish community dynamics through size-dependent trophic interactions using a spatialized individual-based model. Aquatic Living Resources 14, 65–80.
328. Shin, Y.J. and Cury, P. (2004) Using an individual-based model of fish assemblages to study the response of size spectra to changes in fishing. Canadian Journal of Fisheries and Aquatic Sciences 61, 414–431.
329. Shin, Y.-J., Travers, M. and Maury, O. (2010) Coupling low and high trophic levels models: towards a pathways-orientated approach for end-to-end models. Progress in Oceanography 84, 105–112.
330. Sibly, R.M., Grimm, V., Martin, B.T. et al. (2013) Representing the acquisition and use of energy by individuals in agent-based models of animal populations. Methods in Ecology and Evolution 4, 151–161.
331. Simpson, S.D., Munday, P.L., Wittenrich, M.L. et al. (2011) Ocean acidification erodes crucial auditory behaviour in a marine fish. Biology Letters 7, 917–920.
332. Sousa, T., Domingos, T. and Kooijman, S.A.L.M. (2008) From empirical patterns to theory: a formal metabolic theory of life. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 363, 2453–2464.
333. Speirs, D.C., Guirey, E.J., Gurney, W.S.C. and Heath, M.R. (2010) A length-structured partial ecosystem model for cod in the North Sea. Fisheries Research 106, 474–494.
334. Steenbeek, J., Coll, M., Gurney, L. et al. (2013) Bridging the gap between ecosystem modeling tools and geographic information systems: driving a food web model with external spatial-temporal data. Ecological Modelling 263, 139–151.
335. Stefansson, G. (2003) Issues in multispecies models. Natural Resource Modeling 16, 1–23.
336. Stensholt, B. (2001) Cod migration patterns in relation to temperature: analysis of storage tag data. ICES Journal of Marine Science 58, 770–793.
337. Stewart, R.I.A., Dossena, M., Bohan, D.A. et al. (2013) Mesocosm experiments as a tool for ecological climate-change research. Advances in Ecological Research 48: Global Change in Multispecies Systems, Pt 3, 48, 71–181.
338. Stock, C.A., Alexander, M.A., Bond, N.A. et al. (2011) On the use of IPCC-class models to assess the impact of climate on living marine resources. Progress in Oceanography 88, 1–27.
339. Stramma, L., Schmidtko, S., Levin, L.A. and Johnson, G.C. (2010) Ocean oxygen minima expansions and their biological impacts. Deep-Sea Research. Part I, Oceanographic Research Papers 57, 587–595.
340. 2. Frontiers in Zoology 9, 28.
341. 2 shift metabolic pathways in differentially oxidative tissues of Notothenia rossii. Comparative Biochemistry and Physiology. Part B, Biochemistry and Molecular Biology 166, 48–57.
342. Sumaila, U.R., Cheung, W.W.L., Lam, V.W.Y., Pauly, D. and Herrick, S. (2011) Climate change impacts on the biophysics and economics of world fisheries. Nature Climate Change 1, 449–456.
343. Szuwalski, C.S., Vert-Pre, K.A., Punt, A.E., Branch, T.A. and Hilborn, R. (2014) Examining common assumptions about recruitment: a meta-analysis of recruitment dynamics for worldwide marine fisheries. Fish and Fisheries 16, 633–648.
344. Takasuka, A., Oozeki, Y. and Aoki, I. (2007) Optimal growth temperature hypothesis: why do anchovy flourish and sardine collapse or vice versa under the same ocean regime? Canadian Journal of Fisheries and Aquatic Sciences 64, 768–776.
345. Teal, L.R., van Hal, R., van Kooten, T., Ruardij, P. and Rijnsdorp, A.D. (2012) Bio-energetics underpins the spatial response of North Sea plaice (Pleuronectes platessa L.) and sole (Solea solea L.) to climate change. Global Change Biology 18, 3291–3305.
346. Teal, L.R., Marras, S., Peck, M.A. and Domenici, P. (2015) Physiology-based modelling approaches to characterize fish habitat suitability: Their usefulness and limitations. Estuarine, Coastal and Shelf Science 2015.
347. Thuiller, W., Lafourcade, B., Engler, R. and Araujo, M.B. (2009) BIOMOD – a platform for ensemble forecasting of species distributions. Ecography 32, 369–373.
348. Tian, Y., Akamine, T. and Suda, M. (2004) Modeling the influence of oceanic-climatic changes on the dynamics of Pacific saury in the northwestern Pacific using a life cycle model. Fisheries Oceanography 13, 125–137.
349. Tjelmeland, S. and Bogstad, B. (1998) MULTSPEC – a review of a multispecies modelling project for the Barents Sea. Fisheries Research 37, 127–142.
350. Travers, M., Shin, Y.J., Jennings, S. and Cury, P. (2007) Towards end-to-end models for investigating the effects of climate and fishing in marine ecosystems. Progress in Oceanography 75, 751–770.
351. Travers, M., Shin, Y.J., Jennings, S. et al. (2009) Two-way coupling versus one-way forcing of plankton and fish models to predict ecosystem changes in the Benguela. Ecological Modelling 220, 3089–3099.
352. Travers-Trolet, M., Shin, Y.-J., Shannon, L.J., Moloney, C.L. and Field, J.G. (2014) Combined fishing and climate forcing in the southern benguela upwelling ecosystem: an end-to-end modelling approach reveals dampened effects. PLoS ONE 9, e94286.
353. Ulanowicz, R.E. (1985) Growth and Development: Ecosystems Phenomenology. Springer-Verlag, New York.
354. Ulanowicz, R.E. (2004) Quantitative methods for ecological network analysis. Computational Biology and Chemistry 28, 321–339.
355. Van Winkle, W., Rose, K.A. and Chambers, R.C. (1993) Individual-based approach to fish population dynamics: an overview. Transactions of the American Fisheries Society 122, 397–403.
356. van der Veer, H.W., Kooijman, S.A.L.M. and van der Meer, J. (2001) Intra- and interspecies comparison of energy flow in North Atlantic flatfish species by means of dynamic energy budgets. Journal of Sea Research 45, 303–320.
357. Vikebo, F., Jorgensen, C., Kristiansen, T. and Fiksen, Ø. (2007) Drift, growth, and survival of larval Northeast Arctic cod with simple rules of behaviour. Marine Ecology Progress Series 347, 207–219.
358. Vikebo, F.B., Husebo, A., Slotte, A., Stenevik, E.K. and Lien, V.S. (2010) Effect of hatching date, vertical distribution, and interannual variation in physical forcing on northward displacement and temperature conditions of Norwegian spring-spawning herring larvae. ICES Journal of Marine Science 67, 1948–1956.
359. Voinov, A. and Shugart, H.H. (2013) ‘Integronsters’, integral and integrated modeling. Environmental Modelling and Software 39, 149–158.
360. Voss, R., Hinrichsen, H.H., Quaas, M.F., Schmidt, J.O. and Tahvonen, O. (2011) Temperature change and Baltic sprat: from observations to ecological-economic modelling. ICES Journal of Marine Science 68, 1244–1256.
361. Walters, C., Pauly, D. and Christensen, V. (1999) Ecospace: prediction of mesoscale spatial patterns in trophic relationships of exploited ecosystems, with emphasis on the impacts of marine protected areas. Ecosystems 2, 539–554.
362. Walters, C., Christensen, V., Walters, W. and Rose, K. (2010) Representation of multistanza life histories in Ecospace models for spatial organization of ecosystem trophic interaction patterns. Bulletin of Marine Science 86, 439–459.
363. Watson, J.R., Stock, C.A. and Sarmiento, J.L. (2014) Exploring the role of movement in determining the global distribution of marine biomass using a coupled hydrodynamic–size-based ecosystem model. Progress in Oceanography, 138, 521–532.
364. Wayte, S.E. (2013) Management implications of including a climate-induced recruitment shift in the stock assessment for jackass morwong (Nemadactylus macropterus) in south-eastern Australia. Fisheries Research 142, 47–55.
365. Whitehead, A. (2012) Comparative genomics in ecological physiology: toward a more nuanced understanding of acclimation and adaptation. The Journal of Experimental Biology 215, 884–891.
366. Woodin, S.A., Hilbish, T.J., Helmuth, B., Jones, S.J. and Wethey, D.S. (2013) Climate change, species distribution models, and physiological performance metrics: predicting when biogeographic models are likely to fail. Ecology and Evolution 3, 3334–3346.
367. Woodworth-Jefcoats, P.A., Polovina, J.J., Dunne, J.P. and Blanchard, J.L. (2013) Ecosystem size structure response to 21st century climate projection: large fish abundance decreases in the central North Pacific and increases in the California Current. Global Change Biology 19, 724–733.
368. Young, J.W., Hunt, B.P.V., Cook, T.R. et al. (2015) The trophodynamics of marine top predators: current knowledge, recent advances and challenges. Deep-Sea Research. Part II, Topical Studies in Oceanography 113, 170–187.
369. deYoung, B., Barange, M., Beaugrand, G. et al. (2008) Regime shifts in marine ecosystems: detection, prediction and management. Trends in Ecology & Evolution 23, 402–409.
370. Zimmermann, F. and Jorgensen, C. (2015) Bioeconomic consequences of fishing-induced evolution: a model predicts limited impact on net present value. Canadian Journal of Fisheries and Aquatic Sciences 72, 612–624.