Predictive systems ecology

Proceedings of the Royal Society B: Biological Sciences

Volumn 280, Issue 1771, 2013, Pages

  Evans, Matthew R ^a   Bithell, Mike ^b   Cornell, Stephen J ^c   Dall, Sasha R X ^d   Díaz, Sandrá ^e   Emmott, Stephen ^f   Ernande, Bruno ^g   Grimm, Volker ^h   Hodgson, David J ^d   Lewis, Simon L ⁱ   Mace, Georgina M ^j   Morecroft, Michael ^k   Moustakas, Aristides ^a   Murphy, Eugene ^l   Newbold, Tim ^m   Norris, K J ⁿ   Petchey, Owen ^o   Smith, Matthew ^f   Travis, Justin M J ^p   Benton, Tim G ⁱ  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

^d UNIVERSITY OF EXETER   (United Kingdom)

^e UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

^f MICROSOFT RESEARCH   (United Kingdom)

^g IFREMER   (France)

^h HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

ⁱ UNIVERSITY OF LEEDS   (United Kingdom)

^j UNIVERSITY COLLEGE LONDON   (United Kingdom)

^k NATURAL ENGLAND   (United Kingdom)

^l BRITISH ANTARCTIC SURVEY   (United Kingdom)

^m UNITED NATIONS ENVIRONMENT PROGRAMME WORLD CONSERVATION MONITORING CENTRE   (United Kingdom)

ⁿ UNIVERSITY OF READING   (United Kingdom)

^o UNIVERSITY OF ZURICH   (Switzerland)

^p Institute of Biological and Environmental Sciences   (United Kingdom)

more..

Author keywords

Climate change; Ecosystem assessment; Modelling; Systems ecology

Indexed keywords

ASSESSMENT METHOD; CLIMATE CHANGE; ECOLOGICAL MODELING; ENVIRONMENTAL CHANGE; HUMAN ACTIVITY; PHYSIOLOGICAL RESPONSE; PREDICTION;

BIOLOGICAL MODEL; CLIMATE CHANGE; ECOLOGY; ECOSYSTEM; EVOLUTION; FORECASTING; HUMAN; PROCEDURES; SYSTEMS BIOLOGY; UNCERTAINTY;

BIOLOGICAL EVOLUTION; CLIMATE CHANGE; ECOLOGY; ECOSYSTEM; FORECASTING; HUMANS; METHODS; MODELS, BIOLOGICAL; SYSTEMS BIOLOGY; UNCERTAINTY;

EID: 84900538227     PISSN: 09628452     EISSN: 14712954     Source Type: Journal    
DOI: 10.1098/rspb.2013.1452     Document Type: Review

References (137)

1. Millennium Ecosystem Assessment. 2005 Ecosystems and human well-being: synthesis. Washington, DC: Island Press.
2. DEFRA. 2011 The UK National Ecosystem Assessment: synthesis of the key findings (eds R Watson, S Albon). Cambridge, UK: Department for the Environment, Food and Rural Affairs.
3. TEEB. 2010 The economics of ecosystems and biodiversity ecological and economic foundations. London, UK: Earthscan.
4. Haines-Young R et al. 2011 The UK NEA scenarios: development of storylines and analysis of outcomes, in the UK National Ecosystem Assessment technical report. UK National Ecosystem Assessment. Cambridge, UK: UNEP-WCMC.
5. Medawar P. 1984 The limits of science, pp. 108. Oxford, UK: Oxford University Press.
6. Clark JS et al. 2001 Ecological forecasts: an emerging imperative. Science 293, 657-660. (doi:10.1126/science.293.5530.657)
7. Grimm V. 1999 Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future? Ecol. Model. 115, 129-148. (doi:10.1016/S0304-3800(98)00188-4)
8. Simberloff D. 1981 The sick science of ecology. Eidema 1, 49-54.
9. Judson OP. 1994 The rise of the individual-based model in ecology. Trends Ecol. Evol. 9, 9-14. (doi:10.1016/0169-5347(94)90225-9)
10. Grimm V, Railsback SF. 2005 Individual-based modelling and ecology. Princeton series in theoretical and computational biology (ed. SA Levin). Princeton, NJ: Princeton University Press.
11. Coulson T et al. 2006 Putting evolutionary biology back in the ecological theatre: a demographic framework mapping genes to communities. Evol. Ecol. Rese. 8, 1155-1171.
12. Coulson T, Benton TG, Lundberg P, Dall SRX, Kendall BE, Gaillard J-M. 2006 Estimating individual contributions to population growth: evolutionary fitness in ecological time. Proc. R. Soc. B 273, 547-555. (doi:10.1098/rspb.2005.3357)
13. Kokko H, Lopez-Sepulcre A. 2007 The ecogenetic link between demography and evolution: can we bridge the gap between theory and data? Ecol. Lett. 10, 773-782. (doi:10.1111/j.1461-0248.2007.01086.x)
14. Sutherland WJ, Norris K. 2002 Behavioural models of population growth rates: implications for conservation and prediction. Phil. Trans. R. Soc. Lond. B 357, 1273-1284. (doi:10.1098/rstb.2002.1127)
15. Stott I, Townley S, Hodgson DJ. 2011 A framework for studying tansient dynamics of population projection matrix models. Ecol. Lett. 14, 959-970. (doi:10.1111/j.1461-0248.2011.01659.x)
16. Evans MR, Norris K, Benton TG. 2012 Predictive ecology: systems approaches. Phil. Trans. R. Soc. B 367, 163-169. (doi:10.1098/rstb.2011.0191)
17. Sutherland WJ. 2006 Predicting the ecological consequences of environmental change: a review of the methods. J. Appl. Ecol. 43, 599-616. (doi:10. 1111/j.1365-2664.2006.01182.x)
18. Rice K. 2004 Sprint research runs into a credibility gap. Nature 432, 147. (doi:10.1038/432147b)
19. Reichmann WJ. 1964 Use and abuse of statistics. Harmondsworth, UK: Pelican.
20. Grafen A, Hails RS. 2002 Modern statistics for the life sciences. Oxford, UK: Oxford University Press.
21. Purves D, Pacala S. 2008 Predictive models of forest dynamics. Science 320, 1452-1453. (doi:10.1126/ science.1155359)
22. Purves DW, Lichstein JW, Strigul N, Pacala SW. 2008 Predicting and understanding forest dynamics using a simple tractable model. Proc. Natl Acad. Sci. USA 105, 17 018-17 022. (doi:10.1073/pnas. 0807754105)
23. Strigul N, Pristinski D, Purves D, Dushoff J, Pacala S. 2008 Scaling from trees to forests: tractable macroscopic equations for forest dynamics. Ecol. Monogr. 78, 523-545. (doi:10.1890/08-0082.1)
24. Evans MR. 2012 Modelling ecological systems in a changing world. Phil. Trans. R. Soc. B 367, 181-190. (doi:10.1098/rstb.2011.0172)
25. Schmidt GA. 2007 The physics of climate modeling. Phys. Today 60, 72-73. (doi:10.1063/1.2709569)
26. Moss RH et al. 2010 The next generation of scenarios for climate change research and assessment. Nature 463, 747-756. (doi:10.1038/ nature08823)
27. Kitano H. 2002 Systems biology: a brief overview. Science 295, 1662-1664. (doi:10.1126/science. 1069492)
28. Nicholson E et al. 2009 Priority research areas for ecosystem services in a changing world. J. Appl. Ecol. 46, 1139-1144.
29. Watt KEF. 1966 Systems analysis in ecology. New York, NY: Academic Press.
30. Watt KEF. 1968 Ecology and resource management: a quantitative approach, pp. 450. Series in Population Biology. New York, NY: McGraw-Hill.
31. Palladino P. 1991 Defining ecology: ecological theories, mathemtical models, and applied biology in the 1960s and 1970s. J. Hist. Biol. 24, 223-243. (doi:10.1007/BF00209430)
32. Levins R. 1966 The strategy of model building in population ecology. Am. Sci. 54, 421-431.
33. Levins R. 1968 Review: ecological engineering: theory and technology. Q. Rev. Biol. 43, 301-305. (doi:10.1086/405813)
34. Matthews B et al. 2011 Toward an integration of evolutionary biology and ecosystem science. Ecol. Lett. 14, 690-701. (doi:10.1111/j.1461-0248.2011.01627.x)
35. Krebs JR, Davies NB. 1993 An introduction to behavioral ecology, 3rd edn. Oxford, UK: Blackwell Scientific Publishers.
36. Stearns SC. 1992 The evolution of life histories. Oxford, UK: Oxford University Press.
37. Williams GC. 1966 Adaptation and natural selection. Princeton, NJ: Princeton University Press.
38. Grafen A. 2007 The formal Darwinism project: a mid-term report. J. Evol. Biol. 20, 1243-1254. (doi:10.1111/j.1420-9101.2007.01321.x)
39. Grafen A. 1999 Formal Darwinism, the individualas-maximising-agent analogy, and bet-hedging. Proc. R. Soc. Lond. B 266, 799-803. (doi:10.1098/ rspb.1999.0708)
40. Beckerman AP, Petchey OL, Warren PH. 2006 Foraging biology predicts food web complexity. Proc. Natl Acad. Sci. USA 103, 13 745-13 749. (doi:10.1073/pnas.0603039103)
41. Uchmánski J, Kowalczyk K, Ogrodowczyk P. 2008 Evolution of theoretical ecology in last decades: why did individual-basedmodelling emerge. Ecol. Questions 10, 13-18. (doi:10.2478/v10090-009-0002-3)
42. Chesson P. 1998 Making sense of spatial models in ecology. In Modeling spatiotemporal dynamics in ecology (eds J Bascompte, RV Sole), pp. 151-166. New York, NY: Springer.
43. Holling CS. 1966 The strategy of building models of complex ecological systems. In Systems analysis in ecology (ed. KEF Watt), pp. 195-214. New York, NY: Academic Press.
44. May RM. 2001 Stability and complexity in model ecosystems, 2nd edn. Princeton, NJ: Princeton University Press.
45. Evans MR et al. 2013 Do simple models lead to generality in ecology? Trends Ecol. Evol. 28, 578-583. (doi:10.1016/j.tree.2013.05.022)
46. Regan HM, Colyvan M, Burgman MA. 2002 A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecol. Appl. 12, 618-628. (doi:10. 1890/1051-0761(2002)012[0618:ATATOU]2.0.CO;2)
47. Forster M, Sober E. 1994 How to tell when simpler, more unified, or less ad hoc theories will provide more accurate predictions. Br. J. Phil. Sci. 45, 1-35. (doi:10.1093/bjps/45.1.1)
48. Beven K, Freer J. 2001 Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J. Hydrol. 249, 11-29. (doi:10.1016/S0022-1694(01)00421-8)
49. Gneitling T, Raferty AE. 2005 Weather forecasting with ensemble methods. Science 310, 248-249. (doi:10.1126/science.1115255)
50. Wynne B. 1992 Uncertainty and environmental learning. Glob. Environ. Change 2, 111-127. (doi:10.1016/0959-3780(92)90017-2)
51. Van Asselt M, Rotmans J. 2002 Uncertainty in integrated assessment modelling. Clim. Change 54, 75-105. (doi:10.1023/A:1015783803445)
52. Spiegelhalter DJ, Riesch H. 2011 Don't know, can't know: embracing deeper uncertainties when analysing risks. Phil. Trans. R. Soc. A 369, 4730-4750. (doi:10.1098/rsta.2011.0163)
53. Kujala H, Burgman MA, Mollanen A. 2013 Treatment of uncertainty in conservation under climate change. Conserv. Lett. 6, 73-85. (doi:10. 1111/j.1755-263X.2012.00299.x)
54. Parry H, Bithell M. 2011 Large scale agent-based moedlling: a review and guidelines for model scaling. In Agent-based models for geographical systems (eds A Heppenstall, AT Crooks, LM See, M Batty), pp. 271-308. New York, NY: Springer:.
55. Brentnall SJ, Richards KJ, Brindley J, Murphy E. 2003 Plankton patchiness and its effect on larger-scale productivity. J. Plankton Res. 25, 121-140. (doi:10. 1093/plankt/25.2.121)
56. Platt T, Broomhead DS, Sathyendranath S, Edwards AM, Murphy EJ. 2003 Phytoplankton biomass and residual nitrate in the pelagic ecosystem. Proc. R. Soc. Lond. A 459, 1063-1073. (doi:10. 1098/rspa.2002.1079)
57. Polasky S, Carpenter SR, Folke C, Keeler B. 2011 Decision-making under great uncertainty: environmental management in an era of global change. Trends Ecol. Evol. 26, 398-404. (doi:10. 1016/j.tree.2011.04.007)
58. Weisberg M. 2007 Three kinds of idealization. J. Phil. 104, 639-659.
59. Eisinger D, Thulke H-H. 2008 Spatial pattern formation facilitates eradication of infectious diseases. J. Appl. Ecol. 45, 415-423. (doi:10.1111/j. 1365-2664.2007.01439.x)
60. Ovaskainen O, Luoto M, Ikonen I, Rekola H, Meyke E, Kuussaari M. 2008 An empirical test of a diffusion model: predicting clouded apollo movements in a novel environment. Am. Nat. 171, 610-619. (doi:10.1086/587070)
61. Ovaskainen O, Cornell SJ. 2006 Space and stochasticity in population dynamics. Proc. Natl Acad. Sci. USA 103, 12 781-12 786. (doi:10.1073/ pnas.0603994103)
62. Wimsatt WC. 2006 Reductionism and its heuristics: making methodological reductionism honest. Synthese 151, 445-475. (doi:10.1007/s11229-006-9017-0)
63. Grimm V, Railsback SF. 2012 Pattern-orientated modelling: a 'multi-scope' for predictive systems ecology. Phil. Trans. R. Soc. B 367, 298-310. (doi:10.1098/rstb.2011.0180)
64. Brown DG, Page S, Riolo R, Zellner M, Rand W. 2005 Path dependence and the validation of agentbased spatial models of land use. Int. J. Geogr. Info. Sci. 19, 153-174. (doi:10.1080/136588104100 01713399)
65. Rounsevell MDA et al. 2012 Challenges for land system science. Land Use Policy 29, 899-910. (doi:10.1016/j.landusepol.2012.01.007)
66. Grimm V et al. 2006 A standard protocol for describing individual-based and agent-based models. Ecol. Model. 198, 115-126. (doi:10.1016/j. ecolmodel.2006.04.023)
67. Moorcroft PR. 2006 How close are we to a predictive science of the biosphere? Trends Ecol. Evol. 21, 400-407. (doi:10.1016/j.tree.2006.04.009)
68. Moorcroft PR, Hurtt GC, Pacala SW. 2001 A method for scaling vegetation dynamics: the ecosystem demography model (ED). Ecol. Monogr. 71, 557-586. (doi:10.1890/0012-9615(2001)071[0557: AMFSVD]2.0.CO;2)
69. Medvigy D, Wofsy SC, Munger JW, Hollinger DY, Moorcroft PR. 2009 Mechanistic scaling of ecosystem function and dynamics in space and time: ecosystem demography model version 2. J. Geophys. Res. 114, G01002. (doi:10.1029/ 2008JG000812)
70. Pacala SW, Canham CD, Saponara J, Silander Jr JA, Kobe RK, Ribbens E. 1996 Forest models defined by field measurements: estimation, error analysis and dynamics. Ecol. Monogr. 66, 1-43. (doi:10.2307/ 2963479)
71. Medvigy D, Moorcroft PR. 2012 Predicting ecosystem dynamics at regional scales: an evaluation of a terrestrial biosphere model for the forests of northeastern North America. Phil. Trans. R. Soc. B 367, 222-235. (doi:10.1098/rstb.2011.0253)
72. Friedlingstein P et al. 2006 Climate-carbon cycle feedback analysis: results from the C4MIP model intercomparison. J. Clim. 19, 3337-3353. (doi:10. 1175/JCLI3800.1)
73. Keenan TF et al. 2012 Terrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchange. Glob. Change Biol. 18, 1971-1987. (doi:10.1111/j.1365-2486.2012.02678.x)
74. Schwalm CR et al. 2010 A model-data intercomparison of CO2 exchange across North America: results from the North American carbon program site synthesis. J. Geophys. Res. Biogeosci. 115, G00H05. (doi:10.1029/2009JG001229)
75. Luo YQ et al. 2012 A framework for benchmarking land models. Biogeosciences 9, 3857-3874. (doi:10. 5194/bg-9-3857-2012)
76. Randerson JT et al. 2009 Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models. Glob. Change Biol. 15, 2462-2484. (doi:10.1111/j.1365-2486.2009.01912.x)
77. Keenan TF, Davidson E, Moffat AM, Munger W, Richardson AD. 2012 Using model-data fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling. Glob. Change Biol. 18, 2555-2569. (doi:10. 1111/j.1365-2486.2012.02684.x)
78. Smith MJ, Purves DW, Vanderwel MC, Lyutsarev V, Emmott S. 2013 The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties. Biogeosciences 10, 583-606. (doi:10.5194/bg-10-583-2013)
79. Luo Y, Weng E. 2011 Dynamic disequilibrium of the terrestrial carbon cycle under global change. Trends Ecol. Evol. 26, 96-104. (doi:10.1016/j.tree.2010.11.003)
80. Seidl R, Lexer MJ, Jager D, Honninger K. 2005 Evaluating the accuracy and generality of a hybrid patch model. Tree Physiol. 25, 939-951. (doi:10.1093/treephys/25.7.939)
81. Kurz WA, Dymond CC, Stinson G, Rampley GJ, Neilson ET, Carroll AL, Ebata T, Safranyik L. 2008 Mountain pine beetle and forest carbon feedback to climate change. Nature 452, 987-990. (doi:10. 1038/nature06777)
82. Yool A, Popova EE, Andersen T. 2013 MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies. Geosci. Model Dev. 6, 1259-1365. (doi:10.5194/gmdd-6-1259-2013)
83. Buitenhuis ET et al. 2006 Biogeochemical fluxes through mesozooplankton. Glob. Biogeochem. Cycles 20, GB2003. (doi:10.1029/2005GB002511)
84. Lehodey P, Murtugudde R, Senina I. 2010 Bridging the gap from ocean models to population dynamics of large marine predators: a model of mid-trophic functional groups. Prog. Oceanogr. 84, 69-84. (doi:10.1016/j.pocean.2009.09.008)
85. Mork KA et al. 2012 Modelling the migration of post-smolt Atlantic salmon (Salmo salar) in the Northeast Atlantic. Ices J. Mar. Sci. 69, 1616-1624. (doi:10.1093/icesjms/fss108)
86. Fach BA, Hofmann EE, Murphy EJ. 2002 Modeling studies of Antarctic krill Euphausia superba survival during transport across the Scotia Sea. Mar. Ecol. Prog. Ser. 231, 187-203. (doi:10.3354/ meps231187)
87. Fach BA, Hofmann EE, Murphy EJ. 2006 Transport of Antarctic krill (Euphausia superba) across the Scotia Sea. II. Krill growth and survival. Deep-Sea Res. Part I Oceanogr. Res. Papers 53, 1011-1043. (doi:10. 1016/j.dsr.2006.03.007)
88. Murphy EJ et al. 2004 Modeling the krill transport pathways in the Scotia Sea: spatial and environmental connections generating the seasonal distribution of krill. Deep-Sea Res. Part II Top. Stud. Oceanogr. 51, 1435-1456.
89. Follows MJ, Dutkiewicz S, Grant S, Chisholm SW. 2007 Emergent biogeography of microbial communities in a model ocean. Science 315, 1843-1846. (doi:10.1126/science.1138544)
90. Christensen V. 2011 Introduction: toward ecosystembased management of fisheries. In Ecosystem approaches to fisheries: a global perspective (eds V Christensen, J Maclean), pp. 1-8. Cambridge, UK: Cambridge University Press.
91. Christensen V. 2013 Ecological networks in fisheries: predicting the future? Fisheries 38, 76-81. (doi:10. 1080/03632415.2013.757987)
92. Christensen V et al. 2009 Database-driven models of the world's large marine ecosystems. Ecol. Model. 220, 1984-1996. (doi:10.1016/j.ecolmodel.2009.04.041)
93. Maury O, Poggiale J-C. 2013 From individuals to populations to communities: a dynamic energy budget model of marine ecosystem size-spectrum including life history diversity. J. Theor. Biol. 324, 52-71. (doi:10.1016/j.jtbi.2013.01.018)
94. Dueri S, Faugeras B, Maury O. 2012 Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E: Part 1. Model formulation. Ecol. Model. 245, 41-54. (doi:10.1016/j.ecolmodel.2012.02.007)
95. Murphy EJ, Hofmann EE. 2012 End-to-end in Southern Ocean ecosystems. Curr. Opin. Environ. Sustainability 4, 264-271. (doi:10.1016/j.cosust.2012.05.005)
96. Moloney CL, St John MA, Denman KL, Karl DM, Köster FW, Sundby S, Wilson RP. 2011 Weaving marine food webs from end to end under global change. J. Mar. Syst. 84, 106-116. (doi:10.1016/j. jmarsys.2010.06.012)
97. Murphy EJ et al. 2012 Developing integrated models of Southern Ocean food webs: including ecological complexity, accounting for uncertainty and the importance of scale. Prog. Oceanogr. 102, 74-92. (doi:10.1016/j.pocean.2012.03.006)
98. Fulton EA et al. 2011 Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish Fish. 12, 171-188. (doi:10.1111/j. 1467-2979.2011.00412.x)
99. Allen JI, Fulton EA. 2010 Top-down, bottom-up or middle-out? Avoiding extraneous detail and overgenerality in marine ecosystem models. Prog. Oceanogr. 84, 129-133. (doi:10.1016/j.pocean.2009.09.016)
100. Purves DW, Scharlemann JPW, Harfoot M, Newbold T, Tittensor D, Hutton J, Emmott S. 2013 Time to model all life on earth. Nature 493, 295-297.
101. Milner-Gulland EJ. 2012 Interactions between human behaviour and ecological systems. Phil. Trans. R. Soc. B 367, 270-278. (doi:10.1098/rstb.2011.0175)
102. Bithell M, Brasington J. 2009 Coupling agent-based models of subsistence farming with individualrspb. based forest models and dynamic models of water distribution. Environ. Model. Softw. 24, 173-190. (doi:10.1016/j.envsoft.2008.06.016)
103. Wainwright J. 2008 Can modelling enable us to understand the role of humans in landscape evolution? Geoforum 39, 659-674. (doi:10.1016/j. geoforum.2006.09.011)
104. Holdo RM, Galvin KA, Knapp E, Polasky S, Hilborn R, Holt RD. 2010 Responses to alternative rainfall regimes and antipoaching in a migratory system. Ecol. Appl. 20, 381-397. (doi:10.1890/08-0780.1)
105. Damania R, Milner-Gulland EJ, Crookes DJ. 2005 A bioeconomic analysis of bushmeat hunting. Proc. R. Soc. B 272, 259-266. (doi:10.1098/rspb.2004.2945)
106. Janssen MA, Walker BH, Langridge J, Abel N. 2000 An adaptive agent model for analysing co-evolution of management and policies in a complex rangeland system. Ecol. Model. 131, 249-268. (doi:10.1016/S0304-3800(00)00256-8)
107. Brown CJ, Fulton EA, Possingham HP, Richardson AJ. 2012 How long can fisheries management delay action in response to ecosystem and climate change? Ecol. Appl. 22, 298-310. (doi:10.1890/11-0419.1)
108. Griffith GP, Fulton EA, Gorton R, Richardson AJ. 2012 Predicting interactions among fishing, ocean warming, and ocean acidification in a marine system with whole-ecosystem models. Conserv. Biol. 26, 1145-1152. (doi:10.1111/j.1523-1739.2012.01937.x)
109. Fulton EA. 2010 Approaches to end-to-end ecosystem models. J. Mar. Syst. 81, 171-183. (doi:10.1016/j.jmarsys.2009.12.012)
110. Dunlop ES, Baskett ML, Heino M, Dieckmann U. 2009 Propensity of marine reserves to reduce the evolutionary effects of fishing in a migratory species. Evol. Appl. 2, 371-393. (doi:10.1111/j. 1752-4571.2009.00089.x)
111. Enberg K, Jørgensen C, Dunlop ES, Heino M, Dieckmann U. 2009 Implications of fisheries-induced evolution for stock rebuilding and recovery. Evol. Appl. 2, 394-414. (doi:10.1111/j.1752-4571.2009.00077.x)
112. Jørgensen C et al. 2007 Ecology: managing evolving fish stocks. Science 318, 1247-1248. (doi:10.1126/ science.1148089)
113. Carpenter SR et al. 2009 Science for managing ecosystem services: beyond the millennium ecosystem assessment. Proc. Natl Acad. Sci. USA 106, 1305-1312. (doi:10.1073/pnas.0808772106)
114. Pahl-Wostl C et al. 2013 Transition towards a new global change science: requirements for new methodologies, methods, data and knowledge. Environ. Sci. Policy 28, 36-47. (doi:10.1016/j. envsci.2012.11.009)
115. Ostrom E. 2009 A general framework for analysing sustainability of social-ecological systems. Science 325, 419-422. (doi:10.1126/science.1172133)
116. Murphy EJ et al. 2007 Spatial and temporal operation of the Scotia Sea ecosystem: a review of large-scale links in a krill centred food web. Phil. Trans. R. Soc. B 362, 113-148. (doi:10.1098/rstb.2006.1957)
117. Murphy EJ, Morris DJ, Watkins JL, Priddle J. 1988 Scales of interaction between Antarctic krill and the environment. In Antarctic Ocean and resources variability (ed. D Sahrhage), pp. 120-303. Berlin, Germany: Springer.
118. Robson BJ, Webster IT. 2006 Representing the effects of subgrid-scale variations in bathymetry on light and primary production. Environ. Model. Softw. 21, 802-811. (doi:10.1016/j.envsoft.2005.02.007)
119. deYoung B, Heath M, Werner F, Chai F, Megrey B, Monfray P. 2004 Challenges of modeling ocean basin ecosystems. Science 304, 1463-1466. (doi:10. 1126/science.1094858)
120. Dutkiewicz S, Follows MJ, Bragg JG. 2009 Modeling the coupling of ocean ecology and biogeochemistry. Glob. Biogeochem. Cycles 23, GB4017. (doi:10.1029/ 2008GB003405)
121. Travers M, Shin Y-J, Jennings S, Cury P. 2007 Towards end-to-end models for investigating the effects of climate and fishing in marine ecosystems. Prog. Oceanogr. 75, 751-770. (doi:10.1016/j. pocean.2007.08.001)
122. Bocedi G, Pe'er G, Heikkinen RK, Matsinos Y, Travis JMJ. 2012 Projecting species' range expansion dynamics: sources of systematic biases when scaling up patterns and processes. Methods Ecol. Evol. 3, 1008-1018. (doi:10.1111/j.2041-210X.2012.00235.x)
123. Hutchinson GE. 1965 The ecological theater and the evolutionary play. New Haven, CT: Yale University Press.
124. Benton TG. 2012 Individual variation and dynamics: lessons from a simple system. Phil. Trans. R. Soc. B 367, 200-210. (doi:10.1098/rstb.2011.0168)
125. Cameron TC, O'Sullivan D, Reynolds A, Piertney SB, Benton TG. 2013 Eco-evolutionary dynamics in response to selection on life histories. Ecol. Lett. 16, 754-763. (doi:10.1111/ele.12107)
126. Bassar RD, Ferriere R, Lo'pez-Sepulcre A, Marshall MC, Travis J, Pringle CM, Reznick DN. 2012 Direct and indirect ecosystem effects of evolutionary adaptation in the Trinidadian guppy (Poecilia reticulata). Am. Nat. 180, 167-185. (doi:10.1086/ 666611)
127. Coulson T, MacNulty DR, Stahler DR, vonHoldt B, Wayne RK, Smith DW. 2011 Modeling effects of environmental change on wolf population dynamics, trait evolution, and life history. Science 334, 1275-1278. (doi:10.1126/science.1209441)
128. Schoener TW. 2011 The newest synthesis: understanding the interplay of evolutionary and ecological dynamics. Science 331, 426-429. (doi:10.1126/science.1193954)
129. Whitham TG et al. 2006 A framework for community and ecosystem genetics: from genes to ecosystems. Nat. Rev. Genet. 7, 510-523. (doi:10. 1038/nrg1877)
130. Moustakas A, Evans MR. 2013 Integrating evolution into ecological modelling: accommodating phenotypic changes in agent based models. PLoS ONE 8, e71125. (doi:10.1371/journal.pone.0071125)
131. Diaz S et al. 2013 Functional traits, the phylogeny of function, and ecosystem service vulnerability. Ecol. Evol. 3, 2958-2975. (doi:10.1002/ece3.601)
132. Rockström J et al. 2009 A safe operating space for humanity. Nature 461, 472-475. (doi:10.1038/ 461472a)
133. Epstein JM. 2008 Why model? J. Artif. Soc. Soc. Simul. 11, 12.
134. Sutherland WJ et al. 2006 The identification of 100 ecological questions of high policy relevance in the UK. J. Appl. Ecol. 43, 617-627. (doi:10.1111/j. 1365-2664.2006.01188.x)
135. Green N. 2012 A policymaker's puzzle, or how to cross the boundary from agent-based model to land-use policy making. Trans. Inst. Br. Geogr. 38, 2-6. (doi:10. 1111/j.1475-5661.2012.00532.x)
136. Sutherland WJ et al. 2012 A collaboratively-derived science-policy research agenda. PLoS ONE 7, e31824. (doi:10.1371/journal.pone.0031824)
137. Darwin C. 1891 The origin of species by means of natural selection, 6th edn. London, UK: John Murray.