The effect of cost surface parameterization on landscape resistance estimates

Molecular Ecology Resources

Volumn 12, Issue 4, 2012, Pages 686-696

  Koen, Erin L ^a   Bowman, Jeff ^b   Walpole, Aaron A ^b  

^a TRENT UNIVERSITY   (Canada)

^b ONTARIO MINISTRY OF NATURAL RESOURCES   (Canada)

Author keywords

Circuitscape; Connectivity; Cost surface; Gene flow; Landscape ecology; Landscape genetics

Indexed keywords

ANIMAL; ARTICLE; ECOSYSTEM; GENE FLOW; METHODOLOGY; POPULATION GENETICS; POPULATION MIGRATION; SPECIES EXTINCTION; THEORETICAL MODEL;

ANIMAL MIGRATION; ANIMALS; ECOSYSTEM; EXTINCTION, BIOLOGICAL; GENE FLOW; GENETICS, POPULATION; MODELS, THEORETICAL;

ANIMALIA;

EID: 84862175329     PISSN: 1755098X     EISSN: 17550998     Source Type: Journal    
DOI: 10.1111/j.1755-0998.2012.03123.x     Document Type: Article

References (44)

1. Adriaensen F, Chardon JP, De Blust G et al. (2003) The application of 'least-cost' modelling as a functional landscape model. Landscape and Urban Planning, 64, 233-247.
2. Beier P, Majka DR, Spencer WD (2008) Forks in the road: choices in procedures for designing wildland linkages. Conservation Biology, 22, 836-851.
3. Beier P, Majka DR, Newell SL (2009) Uncertainty analysis of least-cost modeling for designing wildlife linkages. Ecological Applications, 19, 2067-2077.
4. Broquet T, Ray N, Petit E, Fryxell JM, Burel F (2006) Genetic isolation by distance and landscape connectivity in the American marten (Martes americana). Landscape Ecology, 21, 877-889.
5. Brown JH, Kodric-Brown A (1977) Turnover rates in insular biogeography: effect of immigration on extinction. Ecology, 58, 445-449.
6. Chandra AK, Raghavan P, Ruzzo WL, Smolensky R, Tiwari P (1997) The electrical resistance of a graph captures its commute and cover times. Computational Complexity, 6, 312-340.
7. Chetkiewicz C-LB, Boyce MS (2009) Use of resource selection functions to identify conservation corridors. Journal of Applied Ecology, 46, 1036-1047.
8. Cushman SA, McKelvey KS, Hayden J, Schwartz MK (2006) Gene flow in complex landscapes: testing multiple hypotheses with causal modeling. American Naturalist, 168, 486-499.
9. Doyle PG, Snell JL (1984) Random Walks and Electric Networks. Mathematical Association of America, Washington D.C.
10. Driezen K, Adriaensen F, Rondinini C, Doncaster CP, 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.
11. Elkie PC, Hooper G, Carr AP, Rempel RS (1999) Ontario marten analyst and marten1 models: directions for applying the forest management guidelines for the provision of marten habitat in the northwest region. Ontario Ministry of Natural Resources Northwest Science & Technology, Thunder Bay, Ont. NWST TM-004. 30 p. + append.
12. Elkie PC, Gluck M, Boos J et al. (2009) Science and information in support of the forest management guide for landscapes: package "A" simulations, rationale, and inputs. Ontario Ministry of Natural Resources. Forest Policy Section.
13. Epps CW, Wehausen JD, Bleich VC, Torres SG, Brashares JS (2007) Optimizing dispersal and corridor models using landscape genetics. Journal of Applied Ecology, 44, 714-724.
14. Galindo HM, Olson DB, Palumbi SR (2006) Seascape genetics: a coupled oceanographic-genetic model predicts population structure of Caribbean corals. Current Biology, 16, 1622-1626.
15. Garroway CJ, Bowman J, Wilson PJ (2011) Using a genetic network to parameterize a landscape resistance surface. Molecular Ecology, 20, 3978-3988.
16. Gonzales EK, Gergel SE (2007) Testing assumptions of cost surface analysis - a tool for invasive species management. Landscape Ecology, 22, 1155-1168.
17. Goodwin BJ (2003) Is landscape connectivity a dependent or independent variable? Landscape Ecology, 18, 687-699.
18. Hansen MM, Hemmer-Hansen J (2007) Landscape genetics goes to sea. Journal of Biology, 6, 6.
19. Hanski I (1991) Single-species metapopulation dynamics - concepts, models, and observations. Biological Journal of the Linnean Society, 42, 17-38.
20. Koen EL, Garroway CJ, Wilson PJ, Bowman J (2010) The effect of map boundary on estimates of landscape resistance to animal movement. PLoS One, 5, e11785.
21. Koen EL, Bowman J, Garroway CJ, Mills SC, Wilson PJ (2012) Landscape resistance and American marten gene flow. Landscape Ecology, 27, 29-43.
22. Lee-Yaw JA, Davidson A, McRae BH, Green DM (2009) Do landscape processes predict phylogeographic patterns in the wood frog? Molecular Ecology, 18, 1863-1874.
23. Manel S, Schwartz MK, Luikart G, Taberlet P (2003) Landscape genetics: combining landscape ecology and population genetics. Trends in Ecology and Evolution, 18, 189-197.
24. McRae BH (2006) Isolation by resistance. Evolution, 60, 1551-1561.
25. McRae BH, Beier P (2007) Circuit theory predicts gene flow in plant and animal populations. Proceedings of the National Academy of Sciences, 104, 19885-19890.
26. McRae BH, Shah VB (2009) Circuitscape user's guide. ONLINE. The University of California, Santa Barbara. Available from: .
27. McRae BH, Dickson BG, Keitt TH, Shah VB (2008) Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology, 89, 2712-2724.
28. Moilanen A, Hanski I (2001) On the use of connectivity measures in spatial ecology. Oikos, 95, 147-152.
29. Naylor B, Kaminski D, Bridge S et al. (1999) User's guide for OWHAM99 and OWHAMTool (Ver. 4.0). Ontario Ministry of Natural Resources, SCSS Tech Rpt. No. 54.
30. O'Brien D, Manseau M, Fall A, Fortin M-J (2006) Testing the importance of spatial configuration of winter habitat for woodland caribou: an application of graph theory. Biological Conservation, 130, 70-83.
31. O'Grady JJ, Brook BW, Reed DH et al. (2006) Realistic levels of inbreeding depression strongly affect extinction risk in wild populations. Biological Conservation, 133, 42-51.
32. Ontario Ministry of Natural Resources. (2004) Ontario Landcover Database. Ontario Ministry of Natural Resources, Peterborough, Ontario.
33. Pérez-Espona S, Pérez-Barberia FJ, McLeod JE et al. (2008) Landscape features affect gene flow of Scottish highland red deer (Cervus elaphus). Molecular Ecology, 17, 981-996.
34. Ray N (2005) PATHMATRIX: a GIS tool to compute effective distances among samples. Molecular Ecology Notes, 5, 177-180.
35. Ray N, Lehmann A, Joly P (2002) Modeling spatial distribution of amphibian populations: a GIS approach based on habitat matrix permeability. Biodiversity and Conservation, 11, 2143-2165.
36. Rayfield B, Fortin M-J, Fall A (2010) The sensitivity of least-cost habitat graphs to relative cost surface values. Landscape Ecology, 25, 519-532.
37. Row JR, Blouin-Demers G, Lougheed SC (2010) Habitat distribution influences dispersal and fine-scale genetic population structure of eastern foxsnakes (Mintonius gloydi) across a fragmented landscape. Molecular Ecology, 19, 5157-5171.
38. Saltelli A, Ratto M, Andres T et al. (2008) Global Sensitivity Analysis, the Primer. John Wiley & Sons, Chichester.
39. Spear SF, Balkenhol N, Fortin M-J, McRae BH, Scribner K (2010) Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis. Molecular Ecology, 19, 3576-3591.
40. Taylor PD, Fahrig L, Henein K, Merriam G (1993) Connectivity is a vital element of landscape structure. Oikos, 68, 571-573.
41. Tischendorf L, Fahrig L (2000) On the usage and measurement of landscape connectivity. Oikos, 90, 7-19.
42. Tischendorf L, Fahrig L (2001) Reply: on the use of connectivity measures in spatial ecology. Oikos, 95, 152-155.
43. Trenel P, Hansen MM, Normand S, Borchsenius F (2008) Landscape genetics, historical isolation and cross-Andean gene flow in the wax palm, Ceroxylon echinulatum (Arecaceae). Molecular Ecology, 17, 3528-3540.
44. White C, Selkoe KA, Watson J, Siegel DA, Zacherl DC, Toonen RJ (2010) Ocean currents help explain population genetic structure. Proceedings of the Royal Society B, 277, 1685-1694.