Using pattern-oriented modeling for revealing hidden information: A key for reconciling ecological theory and application

Oikos

Volumn 100, Issue 2, 2003, Pages 209-222

  Wiegand, Thorsten ^a   Jeltsch, Florian ^b   Hanski, Ilkka ^c   Grimm, Volker ^a  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF POTSDAM   (Germany)

^c UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGICAL MODELING; SPATIAL ANALYSIS; THEORETICAL STUDY; TIME SERIES ANALYSIS;

URSUS ARCTOS;

EID: 0037799893     PISSN: 00301299     EISSN: None     Source Type: Journal    
DOI: 10.1034/j.1600-0706.2003.12027.x     Document Type: Short Survey

References (70)

1. Bailey, T. C. and Gatrell, A. C. 1995. Interactive spatial data analysis. - Longman Scientific and Technical.
2. Beissinger, S. R. and Westphal, M. I. 1998. On the use of demographic models of population viability in endangered species management. - J. Wildl. Manage. 62: 821-841.
3. Beissinger, S. R. and McCullough, D. R. 2002. Population viability analysis. - Univ. of Chicago Press.
4. Bjørnstad, O. N., Fromentin, J.-M., Stenseth, N. C. and Gjøsæter, J. 1999. Cycles and trends in cod population. - Proc. Nat. Acad. Sci. USA 96: 5066-5071.
5. Blasius, B., Huppert, A. and Stone, L. 1999. Complex dynamics and phase synchronization in spatially extended ecological systems. - Nature 399: 354-359.
6. Boyce, M. S. 1992. Population viability analysis. - Annu. Rev. Ecol. Syst. 23: 481-506.
7. Briggs, C. J., Sait, S. M., Begon, M. et al. 2000. What causes generation cycles in populations of stored-products moths? - J. Anim. Ecol. 69: 352-366.
8. Burgman, M. and Possingham, H. 2000. Population viability analysis for conservation: the good, the bad and the undescribed. - In: Young, A. G. and Clarke, G. M. (eds), Genetics, demography and viability of fragmented populations. Cambridge Univ. Press, pp. 97-112.
9. Burnham, K. P. and Anderson, D. R. 1998. Model selection and inference: a practical information-theoretic approach. - Springer Verlag.
10. Casagrandi, R. and Gatto, M. 1999. A mesoscale approach to extinction risk in fragmented habitats. - Nature 400: 560-560.
11. Caughley, G. 1994. Directions in conservation biology. - J. Anim. Ecol. 63: 215-244.
12. Claessen, D., De Roos, A. M. and Persson, L. 2000. Dwarfs and giants: cannibalism and competition in size-structured populations. - Am. Nat. 155: 219-237.
13. DeAngelis, D. L. and Mooij, W. M. in press. In praise of mechanistically-rich models. - In: Canham, C., Cole, J. J. and Lauenroth, W. (eds), Cary Conference IX publication.
14. Doak, D. F. and Mills, L. S. 1994. A useful role for theory in conservation. - Ecology 75: 615-626.
15. Doak, D. F. and Morris, W. 1999. Detecting population-level consequences of ongoing environmental change without long-term monitoring. - Ecology 80: 1537-1551.
16. Drechsler, M. 2000. A model-based decision aid for species protection under uncertainty. - Biol. Conserv. 94: 23-30.
17. Elliot, J. A., Irish, A. E., Reynolds, C. S. and Tett, P. 2000. Modelling freshwater phytoplankton communities: an exercise in validation. - Ecol. Modell. 128: 19-26.
18. Ellner, S. P., McCauley, E., Kendall, B. E. et al. 2001. Habitat structure and population persistence in an experimental community. - Nature 412: 538-543.
19. Ford, E. D. 2000. Scientific method for ecological research. - Cambridge Univ. Press.
20. Fromentin, J.-M., Myers, R. A., Bjørnstad, O. N. et al. 2001. Population regulation in cod along the Norwegian Skagerrak coast. - Ecology 82: 567-579.
21. Gilpin, M. E. and Hanski, I. 1991. Metapopulation dynamics: empirical and theoretical investigations. - Academic Press.
22. Grimm, V. 1994. Mathematical models and understanding in ecology. - Ecol. Modell. 75/76: 641-651.
23. Grimm, V. 1999. Ten years of individual-based modelling in ecology: what have we learned, and what could we learn in the future? - Ecol. Modell. 115: 129-148.
24. Grimm, V. 2002. Visual debugging: a way of analyzing, understanding, and communicating bottom-up simulation models in ecology. - Nat. Resour. Model. 15: 23-38.
25. Grimm, V., Frank, K., Jeltsch, F. et al. 1996. Pattern-oriented modelling in population ecology. - Sci. Total Environ. 183: 151-166.
26. Grimm, V., Wyszomirski, T., Aikman, D. and Uchmanski, J. 1999. Individual-based modelling and ecological theory: synthesis of a workshop. - Ecol. Modell. 115: 275-282.
27. Hanski, I. 1994. A practical model of metapopulation dynamics. - J. Anim. Ecol. 63: 151-162.
28. Hanski, I. 1999. Metapopulation ecology. - Oxford Univ. Press.
29. Hanski, I., Alho, J. and Moilanen, A. 2000. Estimating the parameters of survival and migration of individuals in metapopulations. - Ecology 81: 239-251.
30. Hanski, I. and Gilpin, M. E. 1997. Metapopulation biology: ecology, genetics, and evolution. - Academic Press.
31. Harcourt, A. H. 1995. Population viability estimates: theory and practice for a wild gorilla population. - Conserv. Biol. 9: 134-142.
32. Harrison, G. W. 1995. Comparing predator-prey models to Luckinbill's experiment with Didinium and Paramecium. - Ecology 76: 357-374.
33. Heino, M. and Hanski, I. 2001. Evolution of migration rate in a spatially realistic metapopulation model. - Am. Nat. 157: 495-511.
34. Hilborn, R. and Mangel, M. 1997. The ecological detective: confronting models with data. - Princeton Univ. Press.
35. Jeltsch, F. and Moloney, K. 2002. Spatially-explicit vegetation models: what have we learned? - In: Esser, K., Lüttge, U., Beyschlag, W. and Hellwig, F. (eds), Progress in botany. Springer, pp. 326-343.
36. Jeltsch, F., Milton, S. J., Dean, W. R. J. and van Rooyen, N. 1996. Tree spacing and coexistence in semiarid savannas. - J. Ecol. 84: 583-595.
37. Jeltsch, F., Milton, S. J., Dean, W. R. J. et al. 1998. Modelling the impact of small-scale heterogeneities on tree-grass coexistence in semiarid savannas. - J. Ecol. 86: 780-794.
38. Jeltsch, F., Müller, M. S., Grimm, V. et al. 1997. Pattern formation triggered by rare events: lessons from the spread of rabies. - Proc. R. Soc. Lond. B 264: 495-503.
39. Jeltsch, F., Moloney, K. A. and Milton, S. J. 1999. Detecting process from snap-shot pattern: lessons from tree spacing in the southern Kalahari. - Oikos 85: 451-467.
40. Johst, K. and Brandl, R. 1997. The effect of dispersal on local population dynamics. - Ecol. Modell. 104: 87-101.
41. Kendall, B. E., Briggs, C. J., Murdoch, W. W. et al. 1999. Why do populations cycle? A synthesis of statistical and mechanistic modeling approaches. - Ecology 80: 1789-1805.
42. Levin, S. A. 1992. The problem of pattern and scale in ecology. - Ecology 73: 1943-1967.
43. Levins, R. 1970. Extinction. - In: Gerstenhaber, M. (ed.), Some mathematical problems in biology. Am. Math. Soc., Providence, Rhode Island, USA, pp. 77-107.
44. Lewellen, R. H. and Vessey, S. H. 1998. The effect of density dependence and weather on population size of a polyvoltine species. - Ecol. Monogr. 68: 571-594.
45. Lindenmayer, D. B., Lacy, R. C. and Pope, M. L. 2000. Testing a simulation model for population viability analysis. - Ecol. Appl. 10: 580-597.
46. McCarthy, M. A., Lindenmayer, D. B. and Possingam, H. P. 2000. Testing spatial PVA models of Australian treecreepers (Aves: Climacteridae) in fragmented forest. - Ecol. Appl. 10: 1722-1731.
47. McCarthy, M. A., Possingam, H. P., Day, J. R. and Tyre, A. J. 2001. Testing the accuracy of population viability analysis. - Conserv. Biol. 15: 1030-1058.
48. Meffe, G. K. and Carroll, C. R. 1997. Principles of conservation biology, 2nd edition. - Sinauer.
49. Moilanen, A. 1999. Patch occupancy models of metapopulation dynamics: efficient parameter estimation using implicit statistical inference. - Ecology 80: 1031-1043.
50. Moilanen, A. 2000. The equilibrium assumption in estimating the parameters of metapopulation models. - J. Anim. Ecol. 69: 143-153.
51. Moilanen, A. and Hanski, I. 1998. Metapopulation dynamics: effects of habitat quality and landscape structure. - Ecology 79: 2503-2515.
52. Moilanen, A., Smith, A. T. and Hanski, I. 1998. Long-term dynamics in a metapopulation of the American pika. - Am. Nat. 152: 530-542.
53. Moloney, K. A. 1993. Determining process through pattern: reality or fantasy? - In: Levin, S. A., Powell, T. M. and Steele, J. H. (eds), Lecture notes in biomathematics. Vol. 96. Springer Verlag, pp. 61-69.
54. Noon, B. R., Lamberson, R. H., Boyce, M. S. and Irwin, L. L. 1999. Population viability analysis: a primer on its principal technical concepts. - In: Johnson, N. C., Malk, A. J., Sexton, W. T. and Szaro, R. C. (eds), Ecological stewardship: a common reference for ecosystem management. Vol. 2. Elsevier Science, pp. 87-134.
55. Possingham, H. P., Lindenmayer, D. B. and Tuck, G. 2002. Decision theory thinking for population viability analysis. - In: Beissinger, S. R. and McCullough, D. R. (eds), Population viability analysis. Univ. of Chicago Press.
56. Railsback, S. F. and Harvey, B. C. 2002. Analysis of habitat-selection rules using an individual-based model. - Ecology 83: 1817-1830.
57. Reynolds, J. H. and Ford, E. D. 1999. Multi-criteria assessment of ecological process models. - Ecology 80: 538-553.
58. Shea, K. and the NCEAS working group on population management 1998. Management of populations in conservation, harvesting and control. - TREE 13: 371-375.
59. Starfield, A. M. 1997. A pragmatic approach to modeling. - J. Wildl. Manage. 61: 261-270.
60. Thulke, H.-H., Grimm, V., Müller, M. S. et al. 1999. From pattern to practice: a scaling-down strategy for spatially explicit modelling illustrated by the spread and control of rabies. - Ecol. Modell. 117: 179-202.
61. Turchin, P., 2003. Complex population dynamics: a theoretical/empirical synthesis. Monographs in population biology. - Princeton Univ. Press.
62. Turchin, P., Oksanen, L., Ekerholm, P. et al. 2000. Are lemmings prey or predators? - Nature 405: 562-565.
63. Walker, B. H., Ludwig, D., Holling, C. S. and Peterman, R. M. 1981. Stability of semi-arid savanna grazing systems. - J. Ecol. 69: 473-498.
64. Weiner, J. 1995. On the practice of ecology. - J. Ecol. 83: 153-158.
65. Wiegand, T., Milton, S. J. and Wissel, C. 1995. A simulation model for a shrub ecosystem in the semiarid Karoo, South Africa. - Ecology 76: 2205-2211.
66. Wiegand, T., Naves, J., Stephan, T. and Fernandez, A. 1998. Assessing the risk of extinction for the brown bear (Ursus arctos) in the Cordillera Cantabrica, Spain. - Ecol. Monogr. 68: 539-571.
67. Wiegand, K., Ward, D., Thulke, H.-H. and Jeltsch, F. 2000. From snapshot information to long-term population dynamics of Acacias by a simulation model. - Plant Ecol. 150: 97-114.
68. Wiegand, T., Revilla, E. and Knauer, F. in press. Reducing uncertainty in spatially explicit population models. - Biodiv. Conserv.
69. Wood, S. N. 1994. Obtaining birth and death rate patterns from structured population trajectories. - Ecol. Monogr. 64: 23-44.
70. Wood, S. N. 2001. Partially specified ecological models. - Ecol. Monogr. 71: 1-25.