Introducing a 'stochastic movement simulator' for estimating habitat connectivity

Methods in Ecology and Evolution

Volumn 2, Issue 3, 2011, Pages 258-268

  Palmer, Stephen C F ^a   Coulon, Aurélie ^b   Travis, Justin M J ^a  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b MUSÉUM NATIONAL D'HISTOIRE NATURELLE   (France)

Author keywords

Dispersal; Habitat fragmentation; Individual based model; Perceptual range

Indexed keywords

EID: 79960965204     PISSN: None     EISSN: 2041210X     Source Type: Journal    
DOI: 10.1111/j.2041-210X.2010.00073.x     Document Type: Article

References (56)

1. Adriaensen, F., Chardon, J.P., De Blust, G., Swinnen, E., Villalba, S., Gulinck, H. & Matthysen, E. (2003) The application of 'least-cost' modelling as a functional landscape model. Landscape and Urban Planning, 64, 233-247.
2. Baguette, M. & Van Dyck, H. (2007) Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal. Landscape Ecology, 22, 1117-1129.
3. Bartoń, K.A., Phillips, B.L., Morales, J.M. & Travis, J.M.J. (2009) The evolution of an 'intelligent' dispersal strategy: biased, correlated random walks in patchy landscapes. Oikos, 118, 309-319.
4. Bovet, P. & Benhamou, S. (1988) Spatial analysis of animals' movements using a correlated random walk model. Journal of Theoretical Biology, 131, 419-433.
5. Broquet, T., Ray, N., Petit, E., Fryxell, J.M. & Burel, F. (2006) Genetic isolation by distance and landscape connectivity in the American marten (Martes americana). Landscape Ecology, 21, 877-889.
6. Byers, J.A. (2001) Correlated random walk equations of animal dispersal resolved by simulation. Ecology, 82, 1680-1690.
7. Chardon, J.P., Adriaensen, F. & Matthysen, E. (2003) Incorporating landscape elements into a connectivity measure: a case study for the Speckled wood butterfly (Pararge aegeria L.). Landscape Ecology, 18, 561-573.
8. Codling, E.A. & Hill, N.A. (2005) Sampling rate effects on measurements of correlated and biased random walks. Journal of Theoretical Biology, 233, 573-588.
9. Compton, B.W., McGarigal, K., Cushman, S.A. & Gamble, L.R. (2007) A resistant-kernel model of connectivity for amphibians that breed in vernal pools. Conservation Biology, 21, 788-799.
10. Conradt, L., Bodsworth, E.J., Roper, T.J. & Thomas, C.D. (2000) Non-random dispersal in the butterfly Maniola jurtina: implications for metapopulation models. Proceedings of the Royal Society B, 267, 1505-1510.
11. Coulon, A., Cosson, J.-F., Angibault, J.M., Cargnelutti, B., Galan, M., Morellet, N., Petit, E., Aulagnier, S. & Hewison, A.J.M. (2004) Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach. Molecular Ecology, 13, 2841-2850.
12. Crooks, K.R. & Sanjayan, M., eds (2006) Connectivity Conservation. Cambridge University Press, Cambridge.
13. Cushman, S.A., McKelvey, K.S. & Schwartz, M.K. (2009) Use of empirically derived source-destination models to map regional conservation corridors. Conservation Biology, 23, 368-376.
14. Cushman, S.A., McKelvey, K.S., Hayden, J. & Schwartz, M.K. (2006) Gene flow in complex landscapes: testing multiple hypotheses with causal modeling. The American Naturalist, 168, 486-499.
15. Driezen, K., Adriaensen, F., Rondinini, C., Doncaster, C.P. & Matthysen, E. (2007) Evaluating least-cost model predictions with empirical dispersal data: a case-study using radiotracking data of hedgehogs (Erinaceus europaeus). Ecological Modelling, 209, 314-322.
16. Fahrig, L. (2007) Non-optimal animal movement in human-altered landscapes. Functional Ecology, 21, 1003-1015.
17. Finn, D.S., Theobald, D.M., Black, W.C. & Poff, N.L. (2006) Spatial population genetic structure and limited dispersal in a Rocky Mountain alpine stream insect. Molecular Ecology, 15, 3553-3566.
18. Greenwald, K.R., Purrenhage, J.L. & Savage, W.K. (2009) Landcover predicts isolation in Ambystoma salamanders across region and species. Biological Conservation, 142, 2493-2500.
19. Gustafson, E.J. & Gardner, R.H. (1996) The effect of landscape heterogeneity on the probability of patch colonization. Ecology, 77, 94-107.
20. Hanski, I. (1994) A practical model of metapopulation dynamics. Journal of Animal Ecology, 63, 151-162.
21. Hanski, I. (1999) Metapopulation Ecology. Oxford University Press, Oxford.
22. Heinz, S.K. & Strand, E. (2006) Adaptive patch searching strategies in fragmented landscapes. Evolutionary Ecology, 20, 113-130.
23. Hilty, J.A., Lidicker, W.Z.J. & Merenlender, A.M., eds (2006) Corridor Ecology - The Science and Practice of Linking Landscapes for Biodiversity Conservation. Island Press, Washington.
24. Hokit, G.D., Ascunce, M., Ernst, J., Branch, L. & Clark, A. (2010) Ecological metrics predict connectivity better than geographic distance. Conservation Genetics, 11, 149-159.
25. Kokko, H. & Lopez-Sepulcre, A. (2006) From individual dispersal to species ranges: perspectives for a changing world. Science, 313, 789-791.
26. Koscinski, D., Yates, A.G., Handford, P. & Lougheed, S.C. (2009) Effects of landscape and history on diversification of a montane, stream-breeding amphibian. Journal of Biogeography, 36, 255-265.
27. Lada, H., Thomson, J.R., MacNally, R. & Taylor, A.C. (2008) Impacts of massive landscape change on a carnivorous marsupial in south-eastern Australia: inferences from landscape genetics analysis. Journal of Applied Ecology, 45, 1732-1741.
28. del Mar Delgado, M. & Penteriani, V. (2008) Behavioral states help translate dispersal movements into spatial distribution patterns of floaters. The American Naturalist, 172, 475-485.
29. McRae, B.H. (2006) Isolation by resistance. Evolution, 60, 1551-1561.
30. McRae, B.H. & Beier, P. (2007) Circuit theory predicts gene flow in plant and animal populations. Proceedings of the National Academy of Sciences, 104, 19885-19890.
31. McRae, B.H., Dickson, B.G., Keitt, T.H. & Shah, V.B. (2008) Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology, 89, 2712-2724.
32. Merckx, T. & Van Dyck, H. (2007) Habitat fragmentation affects habitat-finding ability of the speckled wood butterfly, Pararge aegeria L. Animal Behaviour, 74, 1029-1037.
33. Morales, J.M. (2002) Behavior at habitat boundaries can produce leptokurtic movement distributions. The American Naturalist, 160, 531-538.
34. Morales, J.M. & Ellner, P. (2002) Scaling up animal movements in heterogeneous landscapes: the importance of behavior. Ecology, 83, 2240-2247.
35. Morales, J.M., Haydon, D.T., Frair, J.L., Holsinger, K.E. & Fryxell, J.M. (2004) Extracting more out of relocation data: building movement models as mixtures of random walks. Ecology, 85, 2436-2445.
36. Morales, J.M., Fortin, D., Frair, J.L. & Merrill, E.H. (2005) Adaptive models for large herbivore movements in heterogeneous landscapes. Landscape Ecology, 20, 301-316.
37. Nichol, J.E., Wong, M.S., Corlett, R. & Nichol, D.W. (2010) Assessing avian habitat fragmentation in urban areas of Hong Kong (Kowloon) at high spatial resolution using spectral unmixing. Landscape and Urban Planning, 95, 54-60.
38. Olden, J.D., Schooley, R.L., Monroe, J.B. & Poff, N.L. (2004) Context-dependent perceptual ranges and their relevance to animal movements in landscapes. Journal of Animal Ecology, 73, 1190-1194.
39. Pinto, N. & Keitt, T.H. (2009) Beyond the least-cost path: evaluating corridor redundancy using a graph-theoretic approach. Landscape Ecology, 24, 253-266.
40. Reusch, T.B.H. & Wood, T. (2007) Molecular ecology of global climate change. Molecular Ecology, 16, 3973-3992.
41. Ronce, O. (2007) How does it feel to be like a rolling stone? Ten questions about dispersal evolution. Annual Review of Ecology, Evolution and Systematics, 38, 231-253.
42. Russell, R.E., Swihart, R.K. & Feng, Z. (2003) Population consequences of movement decisions in a patchy landscape. Oikos, 103, 142-152.
43. Schtickzelle, N., Joiris, A., Van Dyck, H. & Baguette, M. (2007) Quantitative analysis of changes in movement behaviour within and outside habitat in a specialist butterfly. BMC Evolutionary Biology, 7 (4).
44. Schultz, C.B. & Crone, E.E. (2001) Edge-mediated dispersal behavior in a prairie butterfly. Ecology, 82, 1879-1892.
45. Skellem, J.G. (1951) Random dispersal in theoretical populations. Biometrika, 38, 196-218.
46. Stevens, V.M., Turlure, C. & Baguette, M. (2010) A meta-analysis of dispersal in butterflies. Biological Reviews, 85, 625-642.
47. Stevens, V.M., Verkenne, C., Vandewoestijne, S., Wesselingh, R.A. & Baguette, M. (2006) Gene flow and functional connectivity in the natterjack toad. Molecular Ecology, 15, 2333-2344.
48. Sutcliffe, O.L., Bakkestuen, V., Fry, G. & Stabbetorp, O.E. (2003) Modelling the benefits of farmland restoration: methodology and application to butterfly movement. Landscape and Urban Planning, 63, 15-31.
49. Verbeylen, G., De Bruyn, L., Adriaensen, F. & Matthysen, E. (2003) Does matrix resistance influence Red squirrel (Sciurus vulgaris L. 1758) distribution in an urban landscape? Landscape Ecology, 18, 791-805.
50. Vignieri, S.N. (2005) Streams over mountains: influence of riparian connectivity on gene flow in the Pacific jumping mouse (Zapus trinotatus). Molecular Ecology, 14, 1925-1937.
51. Vuilleumier, S. & Fontanillas, P. (2007) Landscape structure affects dispersal in the greater white-toothed shrew: inference between genetic and simulated ecological distances. Ecological Modelling, 201, 369-376.
52. Vuilleumier, S. & Metzger, R. (2006) Animal dispersal modelling: handling landscape features and related animal choices. Ecological Modelling, 190, 159-170.
53. Vuilleumier, S. & Perrin, N. (2006) Effects of cognitive abilities on metapopulation connectivity. Oikos, 113, 139-147.
54. Watts, K. & Handley, P. (2010) Developing a functional connectivity indicator to detect change in fragmented landscapes. Ecological Indicators, 10, 552-557.
55. Wiens, J.A. (2001) The landscape context of dispersal. Dispersal (eds J. Clobert, E. Danchin, A.A. Dhondt & J.D. Nichols), pp. 96-99. Oxford University Press, New York.
56. Zollner, P.A. & Lima, S.L. (1999) Search strategies for landscape-level interpatch movements. Ecology, 80, 1019-1030.