Using the FORE-SCE model to project land-cover change in the southeastern United States

Ecological Modelling

Volumn 219, Issue 1-2, 2008, Pages 49-65

  Sohl, Terry ^a   Sayler, Kristi ^a  

^a EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

Author keywords

Change; Cover; Land; Model; Southeast; United States

Indexed keywords

CLIMATE CHANGE; EXTRAPOLATION; FORESTRY; LAND USE; MATHEMATICAL MODELS; POPULATION STATISTICS; PROBABILITY; RISK ASSESSMENT; SURVEYS; WOOD;

CHANGE; COVER; LAND; SOUTHEAST; UNITED STATES;

LANDFORMS;

CLIMATE EFFECT; FOREST INVENTORY; LAND COVER; LAND USE; LAND USE CHANGE; URBAN AREA;

CLIMATES; CUTTING; ECOLOGY; FOREST CANOPY; ITERATIVE METHODS; LAND USE; PROBABILITY; REGRESSION ANALYSIS; WOOD PRODUCTS;

NORTH AMERICA; UNITED STATES;

EID: 54249122471     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.08.003     Document Type: Article

References (60)

1. Agarwal, C., Green, G.M., Grove, J.M., Evans, T.P., Schweik, C.M., 2002, A review and assessment of land-use change models: dynamics of space, time, and human choice. General Technical Report NE-297. U.S. Department of Agriculture, Forest Service, Northeastern Research Station, Newton Square, PA, 61 p.
2. Anantharaj V.G., Fitzpatrick P.J., Li Y., King R.L., and Mostovoy G.V. Impact of land use and land cover changes in the surface fluxes of an atmospheric model. Proceedings of the IGARSS 2006 Conference, Denver, CO (2006)
3. Bailey T.C., and Gatrell A.C. Interactive Spatial Data Analysis (1996), Longman Scientific & Technical, Burnt Mill, Harlow, Essex, England 313 pp
4. Bureau of the Census, 1991a. 'Census of Population and Housing', 1990, Public Law 94-171 data (United States) (machine-readable data files). The U.S. Bureau of the Census (Producer and Distributor), Washington, DC.
5. Bureau of the Census, 1991b. 'Census of Population and Housing', 1990, Public Law 94-171 data (United States) (online documentation). The U.S. Bureau of the Census (Producer and Distributor), Washington, DC.
6. Bureau of the Census, 1992. 'TIGER/Line Files' (machine-readable data files). The U.S. Bureau of the Census (Producer and Distributor), Washington, DC.
7. Burkett V., Ritschard R., McNulty S., O'Brien J.J., Abt R., Jones J., Hatch U., Murray B., Jagtap S., and Cruise J. Potential Consequences of Climate Variability and Change for the Southeastern United States. Chapter 5, Climate Change Impacts on the United States: The Potential Consequences of Climate Variability and Change (2000), National Assessment Synthesis Team, U.S. Global Change Research Program
8. Carroll, W.D., Kapeluck, P.R., Harper, R.A., Van Lear, D.H., 2002. In: Wear, D.N., Greis, J.G. (Eds.), Background Paper: Historical Overview of the Southern Forest Landscape and Associated Resources, Southern Forest Resource Assessment.
9. Chen D.X., and Coughenour M.B. GEMTM: a general model for energy and mass transfer of land surfaces and its application at FIFE sites. Agricultural and Forest Meteorology 68 (1994) 145-171
10. Conner, R.C., Hartsell, A.J., 2002. Forest area and conditions, Chapter 16 in southern forest resource assessment. In: Wear, D.N., Greis, J.G. (Eds.), General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, pp. 357-402.
11. de Koning G.H.J., Veldkamp A., and Fresco L.O. Land use in ecuador: a statistical analysis at different aggregation levels. Agriculture, Ecosystems and Environment 70 (1998) 231-247
12. Delcourt P.A., Delcourt H.R., Morse D.F., and Morse P.A. History, evolution, and organization of vegetation and human culture. In: Martin W.H., Boyce S.G., and Echternacht A.C. (Eds). Biodiversity of the Southeastern United States: Lowland Terrestrial Communities (1993), John Wiley, New York 47-79
13. 2 and landscape change using a coupled plant and meteorological model. Global Change Biology 7 (2001) 797-815
14. Foley J.A., DeFries R., Asner G.P., Barford C., Bonan G., Carpenter S.R., Chapin F.S., Coe M.T., Daily G.C., Gibbs H.K., Helkowski J.H., Holloway T., Howard E.A., Kucharik C.J., Monfreda C., Patz J.A., Prentice I.C., Ramankutty N., and Snyer P.K. Global consequences of land use. Science 22 (2005) 570-574
15. Gresham C.A. Sustainability of intensive loblolly pine plantation management in the South Carolina Coastal Plain, USA. Forest Ecology and Management 155 (2002) 69-80
16. Griffith J.A., Stehman S.V., and Loveland T.R. Landscape trends in Mid-Atlantic and Southeastern United States Ecoregions. Environmental Management 32 5 (2003) 572-588
17. Hardie I., Parks P., Gottlieb P., and Wear D. Responsiveness of rural and urban land uses to land rent determinants in the U.S. south. Land Economics 76 4 (2000) 659-673
18. Homer C., Dewitz J., Fry J., Coan M., Hossain N., Larson C., Herold N., McKerrow A., VanDriel J.N., and Wickham J. Completion of the 2001 national land cover database for the conterminous United States. Photogrammetric Engineering and Remote Sensing 73 4 (2007) 337-341
19. Hoshino S. Multilevel modeling on farmland distribution in Japan. Land Use Policy 18 (2001) 75-90
20. Hudson C.M. The Southeastern Indians (1982), University of Tennessee Press, Knoxville, TN 573 pp
21. Jackson R.B., Jobbagy E.G., Avissar R., Roy S.B., Barrett D.J., Cook C.W., Farley K.A., le Maitre D.C., McCarl B.A., and Murray B.C. Trading water for carbon with biological carbon sequestration. Science 310 (2005) 1944-1947
22. Kalnay E., and Cai M. Impact of urbanization and land use on climate change. Nature 423 (2003) 528-531
23. Kok K. The role of population in understanding Honduran land use patterns. Journal of Environmental Management 72 1-2 (2004) 73-89
24. Lambin E.F., Turner B.I., Geist H.J., Agbola S.B., Angelsen A., Bruce J.W., Coomes O., Dirzo R., Fischer G., Folke C., George P.S., Homewood K., Imbernon J., Leemans R., Li X., Moran E.F., Mortimore M., Ramakrishnan P.S., Richards J.F., Skanes H., Steffen W., Stone G.D., Svedin U., Veldkamp T., Vogel C., and Xu J. The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change 11 (2001) 261-269
25. Liang Y., Durrans S.R., and Lightsey T. A revised version of PnET-II to simulate the hydrologic cycle in southeastern forested areas. Journal of the American Water Resources Association 38 1 (2002) 79-89
26. Loveland T.R., Sohl T.L., Stehman S.V., Gallant A.L., Sayler K.L., and Napton D.E. A strategy for estimating the rates of recent United States land-cover changes. Photogrammetric Engineering and Remote Sensing 68 (2002) 1091-1099
27. McGarigal, K., Cushman, S.A., Neel, M.C., Ene. E., 2002. FRAGSTATS: spatial pattern analysis program for categorical maps. Computer Software Program Produced by the Authors at the University of Massachusetts, Amherst. Available at: www.umass.edu/landeco/research/fragstats/fragstats.html.
28. McNulty S., Vose J.M., and Shank W.T. Loblolly pine hydrology and productivity across the southern United States. Forest Ecology and Management 86 (1996) 241-251
29. McNulty S.G., Moore J.A., Iverson L., Prasad A., Abt R., Smith B., Sun G., Gavazzi M., Bartlett J., Murray B., Mickler R.A., and Aber J.D. Application of linked regional scale growth, biogeography, and economic models for southeastern United States pine forests. World Resource Review 12 2 (2000)
30. Mladenoff D.J., Host G.E., Boeder J., and Crow T.R. LANDIS: a spatial model of forest landscape disturbance, succession, and management. In: Goodchild M.F., Steyaert L.T., and Parks B.O. (Eds). GIS and Environmental Modeling: Progress and Research Issues (1996), GIS World Books, Fort Collins, CO, USA 175-180
31. Omernik J.M. Ecoregions of the conterminous United States. Annals of the Association of American Geographers 77 (1987) 118-125
32. Overmars K.P., de Koning G.H.J., and Veldkamp A. Spatial autocorrelation in multi-scale land use models. Ecological Modelling 164 (2003) 257-270
33. Owen, W., 2002. Plant communities in the South. In: Wear, D.N., Greis, J.G. (Eds.), Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, pp. 47-61.
34. Pearson S.M., Turner M.G., and Drake J.B. Landscape change and habitat availability in the Southern Appalachian Highlands and Olympic Peninsula. Ecological Applications 9 4 (1999) 1288-1304
35. Peterson C.J. Catastrophic wind damage to North American forests and the potential impact of climate change. The Science of the Total Environment 262 (2000) 287-311
36. Pielke R.A., Walko R.L., Steyaert L.T., Vidale P.L., Liston G.E., Lyons W.A., and Chase T.N. The influence of anthropogenic landscape changes on weather in South Florida. Monthly Weather Review 127 (1999) 1663-1672
37. Pielke R.A., Marland G., Betts R.A., Chase T.N., Eastman J.L., Niles J.O., Niyogi D.D.S., and Running S.W. The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases. Philosophical Transactions of the Royal Society of London. Series A, Mathematical, Physical and Engineering Sciences 360 1797 (2002) 1705-1719
38. Pielke R.A., Adegoke J., Beltran-Przekurat A., Hiemstra C.A., Lin J., Nair U.S., Niyogi D., and Nobis T.E. An overview of regional land-use and land-cover impacts on rainfall. Tellus 59B (2007) 587-601
39. Prestemon, J.P., Abt, R.C., 2002. Timber products supply and demand. In: Wear, D.N., Greis, J.G. (Eds.), Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, pp. 299-325.
40. Rindfuss R.R., Walsh S.J., Turner II B.L., Fox J., and Mishra V. Developing a science of land change: challenges and methodological issues. Proceeding of the National Academy of Sciences 101 13 (2004) 976-981
41. Siry, J.P, 2002. Intensive timber management practices. In: Wear, D.N., Greis, J.G. (Eds.), Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, pp. 327-340.
42. Snyder P.K., Delire C., and Foley J.A. Evaluating the influence of different vegetation biomes on the global climate. Climate Dynamics 23 3 (2004) 279-302
43. Sohl T.L., Sayler K.L., Drummond M.A., and Loveland T.R. The FORE-SCE model: a practical approach for projecting land use change using scenario-based modeling. Journal of Land Use Science 2 2 (2007) 1-24
44. Stanturf, J.A., Wade, D.D., Waldrop, T.A., Kennard, D.K., Achtemeier, G.L., 2002. Background paper: fire in southern forest landscapes. In: Wear, D.N., Greis, J.G. (Eds.), Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, pp. 607-630.
45. Sun G., Amatya D.M., McNulty S.G., Skaggs R.W., and Hughes J.H. Climate change impacts on the hydrology and productivity of a pine plantation. Journal of the American Water Resources Association 36 2 (2000) 367-374
46. Thornton P.E., Running S.W., and White M.A. Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology 190 (1997) 214-251
47. U.S. Department of Agriculture, 1994. State Soil Geographic (STATSGO) Data Base: Data Use Information, Miscellaneous Publication Number 1492. U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and GIS Center, Fort Worth, TX.
48. U.S. Geological Survey, 1999. USGS 30-Meter Resolution, One-Sixtieth Degree National Elevation Dataset for CONUS, Alaska, Hawaii, Puerto Rico, and the U.S. Virgin Islands. U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD.
49. Veldkamp A., and Fresco L.O. CLUE-CR: an integrated multi-scale model to simulate land use change scenarios in Costa Rica. Ecological Modelling 91 (1996) 231-248
50. Verburg P.H., DeKoning G.H.J., Kok K., Veldkamp A., and Bouma J. A spatial explicit allocation procedure for modeling the pattern of land use change based upon actual land use. Ecological Modelling 116 (1999) 45-61
51. Verburg P.H., Soepboer W., Veldkamp A., Limpiada R., and Espaldon V. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management 30 (2002) 391-405
52. Vogelmann J.E., Howard S.M., Yang L., Larson C.R., Wylie B.K., and Van Driel J.N. Completion of the 1990s national land cover dataset for the conterminous United States. Photogrammetric Engineering and Remote Sensing 67 (2001) 650-662
53. Walsh S.J., Moody A., Allen T.R., and Brown G. Scale dependence of NDVI and its relationship to mountainous terrain. In: Quattrochi D.A., and Goodchild M.F. (Eds). Scale in Remote Sensing and GIS (1997), Lewis Publishers, Boca Raton, FL 27-55
54. Watson D.F., and Philip G.M. A refinement of inverse distance weighted interpolation. Geo-Processing 2 (1985) 315-327
55. Watts, R., 2005. Distance to nearest road in the conterminous United States. USGS Fact Sheet 2005-3011. U.S. Geological Survey, Reston, VA.
56. Wear D.N., and Bolstad P. Land-use changes in southern appalachian landscapes: spatial analysis and forecast evaluation. Ecosystems 1 (1998) 575-594
57. Wear, D.N., Greis, J.G. (Eds.), 2002. Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, 635 pp.
58. Wear D., Pye J., and Riitters K. Defining conservation priorities using fragmentation forecasts. Ecology and Society 9 5 (2004) 18
59. White R., and Engelen G. High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems 24 (2000) 383-400
60. Williams C.E., and Johnson W.C. Factors affecting recruitment of Pinus pungens in the Southern Appalachian Mountains. Canadian Journal of Forest Research 22 (1992) 878-887