A raster-based technique for analysing habitat configuration: The cost-benefit approach

Ecological Modelling

Volumn 202, Issue 3-4, 2007, Pages 324-332

  Drielsma, Michael ^a   Ferrier, Simon ^a   Manion, Glenn ^a  

^a OFFICE OF ENVIRONMENT AND HERITAGE   (Australia)

Author keywords

Connectivity; Habitat modelling; Landscape ecology; Least cost paths; Metapopulation ecology

Indexed keywords

COMPUTER SIMULATION; COST ACCOUNTING; DATA STRUCTURES; DATABASE SYSTEMS; DISTANCE MEASUREMENT; ECOLOGY;

HABITAT MODELING; LANDSCAPE ECOLOGY; LEAST COST PATHS; METAPOPULATION ECOLOGY;

LIVING SYSTEMS STUDIES;

CONNECTIVITY; ECOLOGICAL MODELING; HABITAT QUALITY; HABITAT SELECTION; LANDSCAPE ECOLOGY; METAPOPULATION; MOVEMENT; RASTER;

EID: 33847683363     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.10.016     Document Type: Article

References (47)

1. Addicott J.F., Aho J.M., Antolin M.F., Padilla D.K., Richardson J.S., and Soluk D.A. Ecological neighbourhoods: scaling environmental patterns. Oikos 49 (1987) 340-346
2. Adler F.R., and Nuernberger B. Persistence in patchy irregular landscapes. Theor. Popul. Biol. 45 (1994) 41-75
3. Bender D.J., Tischendorf L., and Fahrig L. Using patch isolation metrics to predict animal movement in binary landscapes. Landscape Ecol. 18 (2003) 17-39
4. Bennett A.F. Linkages in the Landscape: The Role of Corridors and Connectivity in Wildlife Conservation (1998), IUCN, Gland, Switzerland
5. Berry J.K. Beyond Mapping Concepts, Algorithms and Issues in GIS (1993), GIS World Books, Fort Collins
6. Bevers M., and Flather C.H. Numerically exploring habitat fragmentation effects on populations using cell-based coupled map lattices. Theor. Popul. Biol. 55 (1999) 61-76
7. Bunn A.G., Urban D.L., and Keitt T.H. Landscape connectivity: a conservation application of graph theory. J. Environ. Manage. 59 (2000) 265-278
8. Department of Environment and Conservation (NSW), 2004. Nandewar WRA landscape conservation. Report for the Resource and Conservation Assessment Council (RACAC), NSW Western Regional Assessment, coordinated by NSW Department of Infrastructure, Planning and Natural Resources, Report No. NAND01. Department of Environment and Conservation (NSW), Coffs Harbour.
9. Dijkstra E.W. A note on two problems in connection with graphs. Numerische Mathematik 1 (1959) 269-271
10. Drielsma M., Manion G., and Ferrier S. The spatial links tool: automated mapping of habitat linkages in variegated landscapes. Ecol. Modell. 200 (2007) 403-411
11. Drielsma, M., Ferrier, S. Rapid prediction of metapopulation persistence for variegated landscapes, in preparation.
12. Dunning J.B., Danielson B.J., and Pulliam H.R. Ecological processes that affect populations in complex landscapes. Oikos 65 (1992) 169-175
13. Ellis, M., Drielsma, M., Mazzer, L., Baigent, E. Clearing, grazing and reservation: assessing regional impacts of vegetation management on fauna of South Western New South Wales. In: Dickman, C., Lunney, D., Burgin, S. (Eds.), Animals of Arid Australia: Out on Their Own? Royal Zoological Society of New South Wales, Mossman, in press.
14. Ferrier S., Watson G., Pearce J., and Drielsma M. Extended statistical approaches to modelling spatial pattern in biodiversity in North-East New South Wales. I: Species-level modelling. Biodivers. Conserv. 11 (2002) 2275-2307
15. Fischer J., and Lindenmayer D.B. Beyond fragmentation: the continuum model for fauna research and conservation in human-modified landscapes. Oikos 112 (2006) 473-480
16. Flather C.H., and Sauer J.R. Using landscape ecology to test hypothesis about large-scale abundance patterns in migratory birds. Ecology 77 (1996) 28-35
17. Guisan A., and Zimmermann N.E. Predictive habitat distribution models in ecology. Ecol. Modell. 135 (2000) 147-186
18. Hanski I. A practical model of metapopulation dynamics. J. Anim. Ecol. 63 (1994) 151-162
19. Hanski I. Habitat connectivity, habitat continuity, and metapopulations in dynamic landscapes. Oikos 87 (1999) 209-219
20. Hanski I. Metapopulation Ecology (1999), Oxford University Press, Oxford
21. Hanski I., and Ovaskainen O. The metapopulation capacity of a fragmented landscape. Nature 404 (2000) 755-758
22. Hargrove W.W., Hoffman F.M., and Efroymson R.A. A practical map-analysis tool for detecting potential dispersal corridors. Landscape Ecol. 20 (2005) 361-373
23. Hoole, A., 2002. The use of spatial information technology for predicting native vegetation condition across a variegated landscape. Darling Riverine Plains Bioregion, NSW, Graduate Diploma Student Thesis. University of New England, Armidale.
24. Jones D.W., and Krummel J.R. The location theory of animal populations: the case of a spatially uniform food distribution. Am. Nat. 126 (1985) 392-404
25. Li H., and Wu J. Use and misuse of landscape indices. Landscape Ecol. 19 (2004) 389-399
26. Lindenmayer D.B. Forest Issues 4. The Design of Wildlife Corridors in Wood Production Forests (1998), NSW National Parks and Wildlife Service, Hurstville
27. Loehle C. Challenges of ecological complexity. Ecol. Complexity 1 (2004) 3-6
28. Moilanen A., and Hanski I. On the use of connectivity measures in spatial ecology. Oikos 95 (2001) 147-151
29. New South Wales National Parks, and Wildlife Service. Fauna of North-East NSW Forests. North-East Forests Biodiversity Study No. 3 (1994), New South Wales National Parks and Wildlife Service, Armidale
30. Ovaskainen O., Sato K., Bascompte J., and Hanski I. Metapopulation models for extinction threshold in spatially correlated landscapes. J. Theor. Biol. 215 (2002) 95-108
31. Parody J.M., and Milne B.T. Implications of rescaling rules for multi-scaled habitat models. Landscape Ecol. 19 (2004) 691-701
32. Pearse D.W. Cost-Benefit Analysis (1983), Macmillan, London
33. Resource and Conservation Assessment Council, 2004. Bioregional landscape conservation framework: biodiversity component. NSW Western Regional Assessments. Final Report. Resource and Conservation Assessment Council, Sydney.
34. Samuelson P.A. Thunen at two hundred. J. Econ. Lit. 21 (1983) 1468-1488
35. Scotts D., and Drielsma M. Developing landscape frameworks for regional conservation planning: an approach integrating fauna spatial distributions and ecological principles. Pacific Conserv. Biol. 8 (2003) 235-254
36. Shumaker N.H. Using landscape indices to predict habitat connectivity. Ecology 77 (1996) 1210-1225
37. Taylor P.D., Fahrig L., Henein K., and Merriam G. Connectivity is a vital element of landscape structure. Oikos 68 (1993) 571-573
38. Tischendorf L., and Fahrig L. How should we measure landscape connectivity?. Landscape Ecol. 15 (2000) 633-641
39. Tischendorf L., and Fahrig L. On the usage and measurement of landscape connectivity. Oikos 90 (2000) 7-19
40. Tischendorf L., Bender D.J., and Fahrig L. Evaluation of patch isolation metrics in mosaic landscapes for specialist vs. generalist dispersers. Landscape Ecol. 18 (2003) 41-50
41. Turner M.G. Landscape ecology: the effect of pattern on process. Annu. Rev. Ecol. Syst. 20 (1989) 171-197
42. Turner M.G., Arthaud G.J., Engstrom R.T., Hejl S.J., Liu J., Loeb S., and McKelvey K. Usefulness of spatially explicit population models in land management. Ecol. Appl. 5 (1995) 12-16
43. Wiens J.A. The emerging role of patchiness in conservation biology. In: Pickett S.T.A. (Ed). The Ecological Basis of Conservation: Heterogeneity, Ecosystems and Biodiversity (1995), Chapman Hall, New York 93-107
44. With K.A., Gardner R.H., and Turner M.G. Landscape connectivity and population distributions in heterogeneous environments. Oikos 78 (1997) 151-169
45. With K.A., and King A.W. Dispersal success on fractal landscapes: a consequence of lacunarity thresholds. Landscape Ecol. 14 (1999) 73-78
46. Yamamura K., Moriya S., and Tanaka K. Discrete random walk model to interpret the dispersal parameters of organisms. Ecol. Modell. 161 (2003) 151-157
47. Zerger A., Gibbons P., Jones S., Doyle S., Sedden J., Briggs S.V., and Freudenberger D. Spatially modelling native vegetation condition. Ecol. Manage. Restor. 7 (2006) S37-S44