Modeling Interactions Among Wildland Fire, Climate and Society in the Context of Climatic Variability and Change in the Southwest US

Regional Climate Change and Variability: Impacts and Responses

Volumn , Issue , 2006, Pages 58-78

  Morehouse, Barbara ^g   Christopherson, Gary ^a,b   Crimmins, Mike ^b   Orr, Barron ^b,c   Overpeck, Jonathan ^b,d   Swetnam, Thomas ^b,e   Yool, Stephen ^b,f  

^a Center for Applied Spatial Analysis   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c UA NASA Space Grant Program   (United States)

^d Institute for the Study of Planet Earth   (United States)

^e Tree Ring Laboratory   (United States)

^f interim department head   (United States)

^g interim department head ^*

Author keywords

[No Author keywords available]

Indexed keywords

EID: 53249128764     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4337/9781781007501.00009     Document Type: Chapter

References (40)

1. Baisan, C.H. and T.W. Swetnam (1990), ‘Fire history on a desert mountain range: Rincon Mountain Wilderness, Arizona, US’, Canadian Journal of Forest Research, 20: 1559-69.
2. Baker, W.L. and K.F. Kipfmueller (2001), ‘Spatial ecology of pre-Euro- American fires in a southern Rocky Mountain subalpine forest landscape’, Professional Geographer, 53(2): 248-62.
3. Bonczek, R.H., C.W. Holsapple and A.B. Whinston (1981), Foundations of Decision Support Systems, New York: Academic Press.
4. Brown, D.P. and A.C. Comrie (2002), ‘Spatial modeling of winter temperature and precipitation in Arizona and New Mexico, US’, Climate Research, 22: 115-28.
5. Brown, J.K. (1985), ‘Fire effects and applications of prescribed fire in aspen’, In K. Sanders and J. Durham (eds), Proceedings: Rangeland Fire Effects - A Symposium, 27-29 November, 1984. Boise, ID: United States Department of Interior Bureau of Land Management, pp. 38-47.
6. Comrie, A.C. and B. Broyles (2002), ‘Variability and spatial modeling of fine-scale precipitation data for the Sonoran Desert of Southwest Arizona’, Journal of Arid Environments, 50: 573-92.
7. Conard, S.G., T. Hartzell, M.W. Hilbruner and G.T. Zimmerman (2001), ‘Changing fuel management strategies: the challenge of meeting new information and analysis needs’, International Journal of Wildland Fire, 10 (3-4) 267-75.
8. Courtney, J.F. (2001), ‘Decision making and knowledge management in inquiring organizations: toward a new decision making paradigm for DSS’, Decision Support Systems, 31: 17-38.
9. Covington, W.W. and M.M. Moore (1994a), ‘Southwestern ponderosa pine forest structure and resource conditions: changes since Euro-American settlement’, Journal of Forestry, 92(1): 39-47.
10. Covington, W.W. and M.M. Moore (1994b), ‘Postsettlement changes in fire regimes ecological restoration of old-growth ponderosa pine forests’, Journal of Sustainable Forestry, 2: 153-81.
11. Covington, W.W., P.Z. Fulé, S.C. Hart and R.P. Weaver (2001), ‘Modeling ecological restoration effects on ponderosa pine forest structure’, Restoration Ecology, 9(4) 421-31.
12. Crimmins, M.A. and A.C. Comrie (2004), ‘Interactions between antecedent climate and wildfire variability across southeast Arizona’, International Journal of Wildland Fire, 13: 455-66.
13. Grissino-Mayer, H.D. and T.W. Swetnam (2000), ‘Century-scale climate forcing of fire regimes in the American Southwest’, Climate Research, 21: 219-238.
14. Hartmann, H.C., R. Bales and S. Sorooshian (2002), ‘Weather, climate, and hydrologic forecasting for the US Southwest: a survey’, Climate Research, 21(3): 239-58.
15. Henry, M. and S.R. Yool (2002), ‘Characterizing fire-related spatial patterns in the Arizona Sky Islands using Landsat TM Data’, Photogrammetric Engineering and Remote Sensing, 68(10): 1011-19.
16. Keane, R.E., R. Burgan and J. vanWagtendonk (2001), ‘Mapping wildland fuels for fire management across multiple scales: integrating remote sensing, GIS and biophysical modeling’, International Journal of Wildland Fire, 10(3-4): 301-19.
17. Kolb, T.E., M.R. Wagner and W.W. Covington (1994), ‘Concepts of ecosystem health: utilitarian and ecosystem perspectives’, Journal of Forestry, 92(7): 10-15.
18. McHugh, C.W., T.E. Kolb and J.L. Wilson (2003), ‘Bark beetle attacks on ponderosa pine following fire in northern Arizona’, Environmental Entomology, 32(3): 510-22.
19. Moran, M.S., T.R. Clarke, Y. Inoue and A. Vidal (1994), ‘Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index’, Remote Sensing of the Environment, 49: 246- 63.
20. Morgan, P., C.C. Hardy, T.W. Swetnam, M.G. Rollins and D.G. Long (2001), ‘Spatial data for national fire planning and fuel management’, International Journal of Wildland Fire, 10(3-4) 353-72.
21. National Interagency Fire Center (NIFC) (2004a), National Wildland Fire Outlook, Predictive Services Group, National Interagency Fire Center, Boise, Idaho, Issued 6 February 2004.
22. National Interagency Fire Center (NIFC) (2004b), Wildland Fire Statistics, National Interagency Fire Center, Boise, Idaho, http://www.nifc.gov/stats/wildlandfirestats. html, Accessed 23 March 2004.
23. Nemani, R., L. Pierce, S. Running and S. Goward (1993), Developing satellite-derived estimates of surface moisture status’, Journal of Applied Meteorology, 28: 276-84.
24. Nicholson, C.R., A.M. Starfield, G.P. Kofinas and J.A. Kruse (2002), ‘Ten heuristics for interdisciplinary modeling projects’, Ecosystems, 5: 376-84.
25. Overpeck, J.T., D. Rind and R. Goldberg (1990), ‘Climate-induced changes in forest disturbance and vegetation’, Nature, 343: 51-53.
26. Pyne, S.J. (1982), Fire in America: A Cultural History of Wildland and Rural Fire, Princeton, NJ: Princeton University Press.
27. Pyne, S.J. (2001), Fire: A Brief History, Seattle: University of Washington Press.
28. Pyne, S.J., P.L. Andrews and R.D. Laven (1996), Introduction to Wildland Fire, 2nd edn New York: John Wiley and Sons, Inc.
29. Reed, B.C., J.F. Brown, D. VanderZee, T.L. Loveland, J.W. Merchant and D.O. Ohlen (1994), ‘Measuring phenological variability from satellite imagery’, Journal of Vegetation Science, 5: 703-14.
30. Running, S., R. Nemani, D. Peterson, L. Band, D. Potts, L. Pierce and M. Spanner (1989), ‘Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation’, Ecology 70(4): 1090-1101.
31. Saaty, T.L. (1980), The Analytic Hierarchy Process, New York: McGraw-Hill. Saaty, T.L. (1990), Multicriteria Decision Making: The Analytic Hierarchy Process, Pittsburgh: RWS Publications.
32. Schmoldt, D.L. and D.L. Peterson (2000), ‘Analytical group decision making in natural resources: methodology and application’, Forest Science, 46(1): 62-75.
33. Sheppard, P.R., A.C. Comrie, G.D. Packin, K. Angersbach and M.K. Hughes (2002), ‘The climate of the Southwest’, Climate Research, 21: 219-38.
34. Simard, A.J., D.A. Haines and W.A. Main (1985), ‘Relations between El Niño Southern Oscillation anomalies and wildland fire activity in the United States’, Agricultural and Forest Meteorology, 36: 93-104.
35. Sprigg, W. and T. Hinckley (eds) (2000), Climate Change in the Southwest, ISPE, University of Arizona, Tucson.
36. Swetnam, T.W. and J.L. Betancourt (1990), ‘Fire-southern oscillation relations in the southwestern United States’, Science, 249: 1017-20.
37. US Congress (2003), Healthy Forests Restoration Act of 2003: HR 1904, 108th Congress of the United States of America, 7 January 2003.
38. White House (2002), ‘Healthy forests: an initiative for wildfire prevention and stronger communities’, http://www.whitehouse.gov/infocus/ healthyforests/ Healthy_Forests_v2.pdf, Accessed March 2004.
39. White, S.M. (2004), ‘Bridging the worlds of fire managers and researchers: lessons and opportunities from the wildland fire workshops’, USDA Forest Service Pacific Northwest Research Station: Portland, Oregon. General Technical Report PNW-GTR-599, March 2004, 41pp.
40. Yool, S.R. (2000), ‘Enhancing fire scar anomalies in AVHRR NDVI timeseries data’, GeoCarto International, 16(1): 5-12.