Pattern-oriented modelling: A 'multi-scope' for predictive systems ecology

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 367, Issue 1586, 2012, Pages 298-310

  Grimm, Volker ^a   Railsback, Steven F ^b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b HUMBOLDT STATE UNIVERSITY   (United States)

Author keywords

Across scale; Complex systems; Modelling; Multi level; Prediction; Systems ecology

Indexed keywords

CALIBRATION; ECOLOGICAL APPROACH; ECOLOGICAL MODELING; ECOSYSTEM DYNAMICS; MULTICRITERIA ANALYSIS; NUMERICAL MODEL;

EID: 82755174155     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2011.0180     Document Type: Review

References (51)

1. Stillman, R. A. & Goss-Custard, J. D. 2010 Individualbased ecology of coastal birds. Biol. Rev. 85, 413-434. (doi:10.1111/j.1469-185X.2009.00106.x)
2. Rüger, N.,Williams-Linera, G.,Kissling, W. D.& Huth, A. 2008 Long-termimpacts of fuelwood extraction on a tropical montane cloud forest. Ecosystems 11, 868-881. (doi:10. 1007/s10021-008-9166-8)
3. Muñiz-Castro, M. A.,Williams-Linera, G.& Rey-Benayas, J. M. 2006 Distance effect from cloud forest fragments on plant community structure in abandoned pastures in Veracruz, Mexico. J. Trop. Ecol. 22, 431-440. (doi:10.1017/ S0266467406003221)
4. Loreau, M. 2010 Linking biodiversity and ecosystems: towards a unifying ecological theory. Phil. Trans. R. Soc. B 365, 49-60. (doi:10.1098/rstb.2009.0155)
5. Grimm, V. 1994 Mathematical models and understanding in ecology. Ecol. Model. 75/76, 641-651. (doi:10.1016/ 0304-3800(94)90056-6)
6. Grimm, V., Frank, K., Jeltsch, F., Brandl, R., Uchmanski, J. & Wissel, C. 1996 Pattern-oriented modelling in population ecology. Sci. Total Environ. 183, 151-166. (doi:10. 1016/0048-9697(95)04966-5)
7. Grimm, V. et al. 2005 Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science 310, 987-991. (doi:10.1126/science.1116681)
8. Grimm, V. & Berger, U. 2004 Seeing the forest for the trees, and vice versa: pattern-oriented ecological modelling. In Handbook of scaling methods in aquatic ecology: measurement, analysis, simulation (ed. L. Seuront), pp. 411-428.
9. Boca Raton, FL: CRC Press. 9 Wiegand, T., Jeltsch, F., Hanski, I. & Grimm, V. 2003 Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application. Oikos 100, 209-222. (doi:10.1034/j. 1600-0706.2003.12027.x)
10. Grimm, V. & Railsback, S. F. 2005 Individual-based modeling and ecology. Princeton, NJ: Princeton University Press
11. Cury, P. M., Shin, Y. J., Planque, B., Durant, J. M., Fromentin, J. M., Kramer-Schadt, S., Stenseth, N. C., Travers, M. & Grimm, V. 2008 Ecosystem oceanography for global change in fisheries. Trends Ecol. Evol. 23, 338-346. (doi:10.1016/j.tree.2008.02.005)
12. Railsback, S. F. & Grimm, V. 2012 Agent-based and individual-based modeling: a practical introduction. Princeton, NJ: Princeton University Press
13. von Bertalanffy, L. 1968 General system theory: foundations, development, applications. New York, NY: George Braziller
14. Beven, K. 2006 A manifesto for the equifinality thesis. J. Hydrol. 320, 18-36. (doi:10.1016/j.jhydrol. 2005.07.007)
15. Wiegand, T., Revilla, E. & Knauer, F. 2004 Dealing with uncertainty in spatially explicit population models. Biodivers. Conserv. 13, 53-78. (doi:10.1023/b:bioc.00000043 13.86836.ab)
16. Platt, J. R. 1964 Strong inference. Science 146, 347-352. (doi:10.1126/science.146.3642.347)
17. Grimm, V., Berger, U., DeAngelis, D. L., Polhill, G., Giske, J. & Railsback, S. F. 2010 The ODD protocol: a review and first update. Ecol. Model. 221, 2760-2768. (doi:10.1016/j.ecolmodel.2010.08.019)
18. Berger, U. & Hildenbrandt, H. 2000 A new approach to spatially explicit modelling of forest dynamics: spacing, ageing and neighbourhood competition of mangrove trees. Ecol. Model. 132, 287-302. (doi:10.1016/S0304-3800(00)00298-2)
19. Hanski, I. 1994 A practical model of metapopulation dynamics. J. Anim. Ecol. 63, 151-162. (doi:10.2307/5591)
20. Nouvellon, Y. et al. 2001 Coupling a grassland ecosystem model with Landsat imagery for a 10-year simulation of carbon and water budgets. Remote Sens. Environ. 78, 131-149. (doi:10.1016/S0034-4257(01)00255-3)
21. Zurell, D. et al. 2010 The virtual ecologist approach: simulating data and observers. Oikos 119, 622-635. (doi:10.1111/j.1600-0706.2009.18284.x)
22. Hartig, F., Calabrese, J. M., Reineking, B., Wiegand, T. & Huth, A. 2011 Statistical inference for stochastic simulation models-theory and application. Ecol. Lett. 14, 816-827. (doi:10.1111/j.1461-0248.2011.01640.x)
23. Amano, T., Ushiyama, K., Moriguchi, S., Fujita, G. & Higuchi, H. 2006 Decision-making in group foragers with incomplete information: test of individual-based model in geese. Ecol. Monogr. 76, 601-616. (doi:10. 1890/0012-9615(2006)076[0601:DIGFWI]2.0.CO;2)
24. Frair, J. L., Merrill, E. H., Beyer, H. L. & Morales, J. M. 2008 Thresholds in landscape connectivity and mortality risks in response to growing road networks. J. Appl. Ecol. 45, 1504-1513. (doi:10.1111/j.1365-2664.2008. 01526.x)
25. Hellweger, F. L. 2010 Resonating circadian clocks enhance fitness in cyanobacteria in silico. Ecol. Model. 221, 1620-1629. (doi:10.1016/j.ecolmodel.2010.03.015)
26. Lambert, P. & Rochard, E. 2007 Identification of the inland population dynamics of the European eel using pattern-oriented modelling. Ecol. Model. 206, 166-178. (doi:10.1016/j.ecolmodel.2007.03.033)
27. Martinez, I., Wiegand, T., Camarero, J. J., Batllori, J. J. & Gutiérrez, E. 2011 Disentangling the formation of contrasting tree-line physiognomies combining model selection and Bayesian parameterization for simulation models. Am. Nat. 177, E136-E152. (doi:10.1086/ 659623)
28. Muneepeerakul, R., Bertuzzo, E., Lynch, H. J., Fagan, W. F., Rinaldo, A. & Rodriguez-Iturbe, I. 2008 Neutral metacommunity models predict fish diversity patterns in Mississippi-Missouri basin. Nature 453, 220-223. (doi:10.1038/nature06813)
29. Piou, C., Berger, U., Hildenbrandt, H., Grimm, V., Diele, K. & D'Lima, C. 2007 Simulating cryptic movements of a mangrove crab: recovery phenomena after small scale fishery. Ecol. Model. 205, 110-122. (doi:10. 1016/j.ecolmodel.2007.02.008)
30. Sterck, F. J. & Schieving, F. 2007 3-D growth patterns of trees: effects of carbon economy, meristem activity, and selection. Ecol. Monogr. 77, 405-420. (doi:10. 1890/06-1670.1)
31. Swanack, T. M., Grant, W. E. & Forstner, M. R. J. 2009 Projecting population trends of endangered amphibian species in the face of uncertainty: a pattern-oriented approach. Ecol. Model. 220, 148-159. (doi:10.1016/j. ecolmodel.2008.09.006)
32. van de Koppel, J., Gascoigne, J. C., Theraulaz, G., Rietkerk, M., Mooij, W. M. & Herman, P. M. J. 2008 Experimental evidence for spatial self-organization and its emergent effects in mussel bed ecosystems. Science 322, 739-742. (doi:10.1126/science.1163952)
33. Wiegand, K., Saltz, D.,Ward, D. & Levin, S. A. 2008 The role of size inequality in self-thinning: a pattern-oriented simulation model for arid savannas. Ecol. Model. 210, 431-445. (doi:10.1016/j.ecolmodel.2007.08.027)
34. Wiegand, T., Camarero, J. J., Rüger, N. & Gutiérrez, E. 2006 Abrupt population changes in treeline ecotones along smooth gradients. J. Ecol. 94, 880-892. (doi:10. 1111/j.1365-2745.2006.01135.x)
35. Zinck, R. & Grimm, V. 2009 Unifying wildfire models from ecology and statistical physics. Am. Nat. 174, E170-E185. (doi:10.1086/605959)
36. Burns, C. E. & Grear, J. S. 2008 Effects of habitat loss on populations of white-footed mice: testing matrix model predictions with landscape-scale perturbation experiments. Landscape Ecol. 23, 817-831. (doi:10.1007/ s10980-008-9239-2)
37. Huth, A. & Wissel, C. 1992 The simulation of the movement of fish schools. J. Theor. Biol. 156, 365-385. (doi:10.1016/S0022-5193(05)80681-2)
38. Huth, A. & Wissel, C. 1993 Analysis of the behavior and the structure of fish schools by means of computer simulations. Coment. Theor. Biol. C 3, 169-201.
39. Hildenbrandt, H., Carere, C. & Hemelrijk, C. K. 2010 Self-organized aerial displays of thousands of starlings: a model. Behav. Ecol. 21, 1349-1359. (doi:10.1093/ beheco/arq149)
40. Stillman, R. A., Goss-Custard, J. D.,West, A. D., DitDurell, S. E. A. Le V., Caldow, R. W. G., McGrorty, S. & Clarke, R. T. 2000 Predicting mortality in novel environments: tests and sensitivity of a behaviour-based model. J. Appl. Ecol. 37, 564-588. (doi:10.1046/j.1365-2664.2000. 00506.x)
41. Drossel, B. & Schwabl, F. 1992 Self-organized critical forest fire model. Phys. Rev. Lett. 69, 1629-1632. (doi:10.1103/physrevlett.69.1629)
42. Ratz, A. 1995 Long-term spatial patterns created by fire: a model oriented towards boreal forests. Int. J. Wildl. Fire 5, 25-34. (doi:10.1071/WF9950025)
43. Peterson, G. D. 2002 Contagious disturbance, ecological memory, and the emergence of landscape pattern. Ecosystems 5, 329-338. (doi:10.1007/s10021-001-0077-1)
44. Zinck, R., Johst, K. & Grimm, V. 2010 Wildfire, landscape diversity and the Drossel-Schwabl model. Ecol. Model. 221, 98-105. (doi:10.1016/j.ecolmodel.2008.12.026)
45. Zinck, R. D., Pascual, M. & Grimm, V. In press. Understanding shifts in wildfire regimes as emergent threshold phenomena. Am. Nat
46. Blasius, B., Huppert, A. & Stone, L. 1999 Complex dynamics and phase synchronization in spatially extended ecological systems. Nature 399, 354-359. (doi:10.1038/20676)
47. Elton, C. & Nicholson, M. 1942 The ten-year cycle in numbers of the lynx in Canada. J. Anim. Ecol. 11, 215-244. (doi:10.2307/1358)
48. Jakoby, O. 2011 Risk management in semi-arid rangelands: modelling adaptation to spatio-temporal heterogeneities. Doctoral thesis, University of Osnabrück, Osnabrück, Germany.
49. Heine, B.-O., Meyer, M. & Strangfeld, O. 2005 Stylised facts and the contribution of simulation to the economic analysis of budgeting. J. Artif. Soc. Soc. Simul. 8, See http://jasss.soc.surrey.ac.uk/8/4/4.html
50. Suter, G. W. I. 1981 Ecosystem theory and NEPA assessment. Bull. Ecol. Soc. Am. 62, 186-192.
51. Agrawal, A. A. et al. 2007 Filling key gaps in population and community ecology. Front. Ecol. Environ. 5, 145-152. (doi:10.1890/1540-9295(2007)5[145:fkgipa] 2.0.co;2)