Spatially varying rules of landscape change: Lessons from a case study

Landscape and Urban Planning

Volumn 74, Issue 1, 2006, Pages 7-20

  McDonald, Robert I ^a,b   Urban, Dean L ^a  

^a DUKE UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

Classification and regression trees; Deforestation; Land use change; Logistic regression; North Carolina; Thematic Mapper

Indexed keywords

BINARY SEQUENCES; IMAGE ANALYSIS; MAPPING; MATHEMATICAL MODELS; RAYLEIGH FADING; TREES (MATHEMATICS);

LAND-USE CHANGE; LANDSCAPE CHANGE; LOGISTIC REGRESSION; NORTH CAROLINA; THEMATIC MAPPER;

LAND USE;

DEFORESTATION; LAND COVER; LANDSCAPE CHANGE; REMOTE SENSING; THEMATIC MAPPING;

DURHAM [NORTH CAROLINA]; NORTH AMERICA; NORTH CAROLINA; RALEIGH; UNITED STATES; WESTERN HEMISPHERE; WORLD;

EID: 27544513939     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2004.08.005     Document Type: Conference Paper

References (39)

1. B.J.L. Berry, E.C. Conkling, and D.M. Ray The Spatial Organization of Land Use 1993 Prentice-Hall New York
2. K.J. Beven, and M.J. Kirkby A physically based, variable contributing area model of basin hydrology Hydrol. Sci. Bull. 24 1979 43 69
3. Chambers, J.M., Hastie, T.J., 1992. Statistical Models in S. Wadsworth & Brooks/Cole, Pacific Grove, CA.
4. N.L. Christensen, and R.K. Peet Convergence during secondary forest succession J. Ecol. 72 1984 25 36
5. M.R.T. Dale Spatial Pattern Analysis in Plant Ecology 1999 Cambridge University Press Cambridge
6. G. De'Ath, and K.E. Fabricius Classification and regression trees: a powerful yet simple technique for ecological data analysis Ecology 81 2000 3178 3192
7. L. Fahrig Effect of habitat fragmentation on the extinction threshold: a synthesis Ecol. Appl. 12 2002 346 353
8. D. Fletcher, and E. Goss Forecasting with neural networks - an application using bankruptcy data Inform. Manage. 24 1993 159 167
9. S. Harrison, and E. Bruna Habitat fragmentation and large-scale conservation: what do we know for sure? Ecography 22 1999 225 232
10. P. Hogeweg Cellular automata as a paradigm for ecological modeling Appl. Math. Comp. 27 1988 81 100
11. R.A. Houghton The worldwide extent of land-use change Bioscience 44 1994 305 313
12. G.D. Jenerette, and J.G. Wu Analysis and simulation of land-use change in the central Arizona-Phoenix region, USA Landscape Ecol. 16 2001 611 626
13. W.C. Johnson A mathematical model of forest succession and land use for the North Carolina Piedmont Bull. Torr. Bot. Club 104 1977 334 346
14. W.F. Laurance, T.E. Lovejoy, H.L. Vasconcelos, E.M. Bruna, R.K. Didham, P.C. Stouffer, C. Gascon, R.O. Bierregaard, S.G. Laurance, and E. Sampaio Ecosystem decay of Amazonian forest fragments: a 22-year investigation Conserv. Biol. 16 2002 605 618
15. P. Legendre, and M.J. Fortin Spatial pattern and ecological analysis Vegetatio 80 1989 107 138
16. P. Legendre, and L. Legendre Numerical Ecology second ed. 1998 Elsevier Science Amsterdam
17. Mansfield, C., Pattanayak, S., McDow, W., McDonald, R.I., Halpin, P.N., 2003. Shades of green: measuring the value of urban forests in the housing market, RTI, Durham, NC.
18. McDonald, R.I., Urban, D.L., in preparation. Succession from space: identification of changes in species composition from remote sensing imagery.
19. D.M. Miller, E.J. Kaminsky, and S. Rana Neural-network classification of remote-sensing data Comput. Geosci. 21 1995 377 386
20. I.D. Moore, B.G. Lee, and S.M. Davey A new method for predicting vegetation distributions using decision tree analysis in a geographic information system Environ. Manage. 15 1991 59 71
21. H.J. Oosting An ecological analysis of the plant communities of piedmont, North Carolina Am. Midland Nat. 28 1942 1 126
22. D.C. Parker, S.M. Manson, M.A. Janssen, M.J. Hoffmann, and P. Deadman Multi-agent systems for the simulation of land-use and land-cover change: a review Ann. Assoc. Am. Geograph. 93 2003 314 337
23. J. Pearce, and S. Ferrier Evaluating the predictive performance of habitat models developed using logistic regression Ecol. Modell. 133 2000 225 245
24. R.R. Sokal, and N.L. Oden Spatial autocorrelation in biology - methodology Biol. J. Linnean Soc. 10 1978 199 228
25. R.R. Sokal, and F.J. Rohlf Biometry second ed. 1981 W.H. Freeman and Company New York
26. C. Song, C.E. Woodcock, K.C. Seto, M.P. Lenney, and S.A. Macomber Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? Remote Sens. Environ. 75 2001 230 244
27. D.M. Theobald Land-use dynamics beyond the American urban fringes Geograph. Rev. 91 2001 544 564
28. Triangle J Council of Governments, 2003a. Research Triangle Region Population, 1950-2020. In: Triangle J Council of Governments.
29. Triangle J Council of Governments. 2003b. Triangle GreenPrint Outreach Report. In: Triangle J Council of Governments. Triangle Land Conservancy, Department of Environment and Resources, Raleigh, North Carolina.
30. D.L. Urban, S.C. Goslee, K.B. Pierce, and T.R. Lookingbill Extending community ecology to landscapes Ecoscience 9 2002 200 212
31. USDA, 2003. National Resources Inventory Assessment. Natural Resources Conservation Service, Washington, DC.
32. M.P. Vayssieres, R.E. Plant, and B.H. Allen-Diaz Classification trees: an alternative non-parametric approach for predicting species distributions J. Veg. Sci. 11 2000 679 694
33. A. Veldkamp, and E.F. Lambin Predicting land-use change. Agric. Ecosys. Environ. 85 2001 1 6
34. A. Veldkamp, P.H. Verburg, K. Kok, G.H.J. de Koning, J. Priess, and A.R. Bergsma The need for scale sensitive approaches in spatially explicit land use change modelling Environ. Model. Assess. 6 2001 111 121
35. J. von Neumann Theory of Self-Reproducing Automata 1966 University of Illinois Press
36. P.J. Waisanen, and N.B. Bliss Changes in population and agricultural land in conterminous United States counties 1790 to 1997 Global Biogeochem. Cycles 16 1997
37. D.S. Wilkie, and J.T. Finn Remote Sensing Imagery for Natural Resources Monitoring 1996 Columbia University Press New York
38. S. Wolfram Cellular automata as models of complexity Nature 311 1984 419 424
39. X.J. Yang Satellite monitoring of urban spatial growth in the Atlanta metropolitan area Photogrammetr. Eng. Remote Sens. 68 2002 725 734