Wildland fuel fundamentals and applications

Wildland Fuel Fundamentals and Applications

Volumn , Issue , 2015, Pages 1-191

  Keane, Robert E ^a  

^a ROCKY MOUNTAIN RESEARCH STATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON; ECOSYSTEMS; FIRE HAZARDS; FIRE PROTECTION; FIRES;

CARBON DYNAMICS; COMBUSTION SCIENCE; FUEL MANAGEMENT; FUEL TREATMENTS; FUELS MANAGEMENT; LAND MANAGEMENTS; LANDSCAPE CHARACTERISTIC; WILDLAND FUELS;

FUELS;

EID: 84944039115     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-319-09015-3     Document Type: Book

References (635)

1. Abell CA (1937) Rate of spread and resistance to control data for Region 7 fuel types and their application to determine strength and speed of attack needed. Preliminary Report. U.S. Department of Agriculture, Forest Service, Asheville, 7 pp.
2. Agee JK (1993) Fire ecology of Pacific Northwest forests. Island Press, Washington.
3. Arno SF, Parsons DJ, Keane RE (2000) Mixed-severity fire regimes in the northern Rocky Mountains: consequences of fire exclusion and options for the future. In: Wilderness science in a time of change conference, volume 5: Wilderness ecosystems, threat, and management, Missoula, Montana, May 23-27, 1999. Fort Collins, CO. U.S. Dept. of Agriculture Forest Service Rocky Mountain Research Station, Proceedings RMRS-P-15-Vol 5, pp 225-232.
4. Banks WG, Frayer HC (1966) Rate of forest fire spread and resistance to control in the fuel types of the eastern region. U.S. Department of Agriculture, Forest Service, Washington, DC. Fire Control Notes 27(2)10-13.
5. Barrows JS (1951) Fire behavior in northern Rocky Mountain forests. Northern Rocky Mountain Forest & Range Experiment Station Paper 29, 274 pp.
6. Bebi P, Kulakowski D, Veblen TT (2003) Interactions between fire and spruce beetles in a subalpine Rocky Mountain forest landscape. Ecology 84(2):362-371. doi:10.1890/0012- 9658(2003)084[0362:ibfasb]2.0.co;2.
7. Brown AA, Davis K (1973) Forest fire control and use, 2nd edn. McGraw-Hill, New York.
8. Busing RT, White RD, Harmon ME, White PS (2009) Hurricane disturbance in a temperate deciduous forest: patch dynamics, tree mortality, and coarse woody detritus. Plant Ecol 201(1):351-363. doi:10.1007/s11258-008-9520-0.
9. Countryman CM (1969) Fuel evaluation for fire control and fire use. Paper presented at the Symposium on fire ecology and control and use of fire in wildland management, Tucson, AZ.
10. Curry JR, Fons WL (1938) Rate of spread of surface fires in the Ponderosa pine type of California. J Agric Res 57(4):239-267.
11. Dimitrakopoulos AP (2002) Mediterranean fuel models and potential fire behaviour in Greece. Int J Wildland Fire 11(2):127-130.
12. Fahnestock GB (1970) Two keys for appraising forest fire fuels. USDA Forest Service. Pacific Northwest Forest and Range Experiment Station, Portland.
13. Gisborne HT (1936) The principles of measuring forest fire danger. J For 34(8):786-793.
14. Hardy CC, Hardy CE (2007) Fire danger rating in the United States of America: an evolution since 1916. Int J Wildland Fire 16(2):217-231.
15. Hiers JK, O’Brien JJ, Mitchell RJ, Grego JM, Loudermilk EL (2009) The wildland fuel cell concept: an approach to characterize fine-scale variation in fuels and fire in frequently burned longleaf pine forests. Int J Wildland Fire 18(3):315-325. doi:10.1071/WF08084.
16. Hirsch SN, Meyer GF, Radloff DL (1979) Choosing an activity fuel treatment for southwest ponderosa pine. USDA Forest Service. Rocky Mountain Forest and Range Experiment Station, Fort Collins.
17. Hornby LG (1935) Fuel type mapping in Region One. J For 33(1):67-72.
18. Hornby LG (1936) Fire control planning in the northern Rocky Mountain region. USA Report Number 1. USDA Forest Service. Northern Rocky Mountain Forest and Range Experiment Station, Missoula, 18 pp.
19. Jamison GM, Keetch JJ (1942) Rate of spread of fire and its resistance to control in fuel types of Eastern Mountain Forests. Appalachian Forest Exp. Sta. Tech. Note No. 52. 44 pp.
20. Jenkins MA, Hebertson E, Page W, Jorgensen CA (2008) Bark beetles, fuels, fire and implications for forest management in the Intermountain West. For Ecol Manag 254:16-34.
21. Keeley JE (2009) Fire intensity, fire severity and burn severity: a brief review and suggested usage. Int J Wildland Fire 18(1):116-126.
22. Keeley JE, Brennan T, Pfaff AH (2008) Fire severity and ecosytem responses following crown fires in California shrublands. Ecol Appl 18(6):1530-1546.
23. Little S (1945) Influence of fuel types on fire danger. J For 43(10):744-749.
24. Matthews DN (1937) Small-plot method of rating forest fuels. J For 35(10):929-931.
25. McArthur AG (1966) Forest fire danger meter. Commonwealth of Australia, Forestry and Timber Bureau, Canberra, Australia.
26. Mitchell JA (1929) Forest fire hazard as affected by weather conditions, forest type, and density of cover. Research Bulletin. U.S. Department of Agriculture, Forest Service, Madison.
27. Morgan P, Hardy CC, Swetnam TW, Rollins MG, Long DG (2001) Mapping fire regimes across time and space: understanding coarse and fine-scale fire patterns. Int J Wildland Fire 10:329-342.
28. Morgan, P, Keane, RE, Dillon G, Sikkink P Silverstein, R, Jain, T, Hudak, A, Strand, E (2014) Challenges with fire and burn severity and its application in fire management. Int J Wildland Fire (in press) New Jersey Department of Conservation and Development, U.S. Department of Agriculture FS (1942) Forest fuel types of New Jersey. New Jersey Department of Conservation and Development, Trenton, NJ.
29. NWCG (2006) National Wildfire Coordination Group Glossary of Fire Terminology. http://www. nwcg.gov/pms/pubs/glossary/.
30. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. United States Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, Utah Research Paper INT-115, 88 pp.
31. Scott AC, Bowman DMJS, Bond WJ, Pyne SJ, Alexander ME (eds) (2014) Fire on earth: an introduction. Wiley, Chichester.
32. Show SB, Kotok E (1930) The determination of hour control for adequate fire protection in the major cover types of the California pine region. US Department of Agriculture Technical Bulletin 209, 33 pp.
33. Sullivan AL (2009a) Wildland surface fire spread modelling, 1990-2007. 1: Physical and quasiphysical models. Int J Wildland Fire 18(4):349-368.
34. Sullivan AL (2009b) Wildland surface fire spread modelling, 1990-2007. 2: Empirical and quasiempirical models. Int J Wildland Fire 18(4):369-386.
35. Walker JD (1971) A simple subjective fuel classification system for Ontario. Information Report O-X-155. Environment Canada, Forestry Service, Sault Ste. Marie, Ontario, Canada, 7 pp.
36. Wendel GW, Storey TG, Byram GM (1962) Forest fuels on organic and associated soils in the coastal plain of North Carolina. Research Report No. 144. US Department of Agriculture, Forest Service, Asheville, NC, 23 pp.
37. Woodall CW, Nagel LM (2007) Downed woody fuel loading dynamics of a large-scale blowdown in northern Minnesota, USA. For Ecol Manage 247(1-3):194-199.
38. Agee JK, Skinner CN (2005) Basic principles of forest fuel reduction treatments. Forest Ecol Manage 211:83-96.
39. Albini FA (1976) Estimating wildfire behavior and effects. USDA Forest Service, Intermountain Research Station, General Technical Report INT-30. Ogden, UT, 23 pp.
40. Alexander ME (2014) Part 4: the science and art of wildland fire behaviour prediction. In: Scott AC, Bowman DMJS, Bond WJ, Pyne SJ, Alexander ME (eds) Fire on earth: an introduction. Wiley-Blackwell, Chichester.
41. Anderson HE (1969) Heat transfer and fire spread. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-69. Ogden, UT., USA, 20 pp.
42. Andrews PL (1986) BEHAVE: fire behavior prediction and fuel modeling system-BURN subsystem. USDA Forest Service, Intermountain Research Station, Research Paper INT-194. Ogden UT, USA, 130 pp.
43. Andrews PL (2014) Current status and future needs of the behave plus fire modeling system. Int J Wildland Fire 23(1):21-33.
44. Andrews PL, Rothermel RC (1982) Charts for interpreting wildland fire behavior characteristics. US Forest Service, Intermountain Forest and Range experiment station, General Technical Report INT-131. Ogden, UT, USA, 23 pp.
45. Barrows JS (1951) Fire behavior in northern Rocky Mountain forests. Northern Rocky Mountain Forest & Range Experiment Station, Paper 29, 274 pp.
46. Bebi P, Kulakowski D, Veblen TT (2003) Interactions between fire and spruce beetles in a subalpine rocky mountain forest landscape. Ecology 84(2):362-371 doi:10.1890/0012- 9658(2003)084[0362:ibfasb]2.0.co;2.
47. Brown AA, Davis K (1973) Forest fire control and use, 2nd edn. McGraw-Hill, New York.
48. Brown JK (1970a) A method for inventorying downed woody fuel. USDA Forest Service, Intermountain Research Station, General Technical Report INT-16. Ogden, UT, 16 pp.
49. Brown JK (1970b) Ratios of surface area to volume for common fire fuels. Forest Sci 16:101-105.
50. Burgan RE (1987) Concepts and interpreted examples in advanced fuel modeling. USDA Forest Service, Intermountain Research Station, General Technical Report INT-238. Ogden, UT, USA, 40 pp.
51. Byram GM (1958) Some basic thermal processes controlling the effects of fire on living vegetation. USDA Forest Service Southeastern Forest Experiment Station, Research Note 114. Asheville, NC, USA, 2 pp.
52. Byram GM (1959) Combustion of forest fuels. In: Brown KP (ed) Forest fire: control and use. McGraw-Hill, New York, p 584.
53. Campbell GS, Jungbauer JD, Bristow KL, Hungerford RD (1995) Soil temperature and water content beneath a surface fire. Soil Sci W 159(6):363-374.
54. Canham CD, Loucks OL (1984) Catastrophic windthrow in the presettlement forests of Wisconsin. Ecology 65(3):803-809. doi:10.2307/1938053.
55. Catchpole WR, Catchpole EA, Butler BW, Rothermel RC, Morris GA, Latham DJ (1998) Rate of spread of free-burning fires in woody fuels in a wind tunnel. Combust Sci Technol 131:1-37.
56. Countryman CM (1969) Fuel evaluation for fire control and fire use. Paper presented at the Symposium on fire ecology and control and use of fire in wildland management, Tucson, AZ, 1969.
57. Curry JR, Fons WL (1938) Rate of spread of surface fires in the Ponderosa pine type of California. J Agr Res 57(4):239-267.
58. DeBano LF, Neary DG, Ffolliott PF (1998) Fire’s effect on ecosystems. Wiley, New York.
59. Deeming JE, Burgan RE, Cohen JD (1977) The National fire danger rating system-1978. USDA Forest Service Intermountain Forest and Range Experiment Station, General Technical Report INT-39. Ogden, Utah, USA, 63 pp.
60. Finney MA (1998) FARSITE: Fire area simulator-model development and evaluation. United States Department of Agriculture, Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-4. Fort Collins, CO. USA, 47 pp.
61. Finney MA, Cohen JD, McAllister SS, Jolly WM (2013) On the need for a theory of wildland fire spread. Int J Wildland Fire 22(1):25-36.
62. Fons WL (1946) Analysis of fire spread in light forest fuels. J Agr Res 73(3):93-121.
63. Frandsen WH, Andrews PL (1979) Fire behavior in nonuniform fuels. US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-232. Ogden, UT, USA, 34 pp.
64. Giménez A, Pastor E, Zárate L, Planas E, Arnaldos J (2004) Long-term forest fire retardants: a review of quality, effectiveness, application and environmental considerations. Int J Wildland Fire 13(1):1-15.
65. Gisborne HT (1927) The objectives of forest fire-weather research. J Forest 25(4):452-456.
66. Gisborne HT (1947) Fundamentals of fire behavior. Fire Control Notes 9(1):13-24.
67. Hawley LF (1926) Theoretical considerations regarding factors which influence forest fires. J Forest 24(7):756-763.
68. Jensen ME, Hann WJ, Keane RE, Caratti J, Bourgeron PS (1993) ECODATA-A multiresource database and analysis system for ecosystem description and evaluation. In: Jensen MEaPBE (ed) Eastside forest ecosystem health assessment volume II-ecosystem mangement: principles and applications, 1993. USDA Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR-318, pp 203-217.
69. Keane R, Gray K, Bacciu V, Leirfallom S (2012a) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landscape Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
70. Keane RE, Finney MA (2003) The simulation of landscape fire, climate, and ecosystem dynamics. In: Veblen TT, Baker WL, Montenegro G, Swetnam TW (eds) Fire and global change in temperate ecosystems of the western Americas, vol Ecological Studies vol 160. Springer-Verlag, New York, pp 32-68.
71. Keane RE, Dickinson LJ (2007) The Photoload sampling technique: estimating surface fuel loadings using downward looking photographs. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-190. Fort Collins, CO, 44 pp.
72. Keane RE, Gray K (2013) Comparing three sampling techniques for estimating fine woody down dead biomass. Int J Wildland Fire 22(8):1093-1107.
73. Keane RE, Drury SA, Karau EC, Hessburg PF, Reynolds KM (2010) A method for mapping fire hazard and risk across multiple scales and its application in fire management. Ecol Model 221:2-18.
74. Keane RE, Gray K, Bacciu V (2012b) Spatial variability of wildland fuel characteristics in northern rocky mountain ecosystems. USDA Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-98 Fort Collins, Colorado USA, 58 pp.
75. Kelsey RG, Shafizadeh F, Lowery DP (1979) Heat content of bark, twigs, and foliage of nine species of western conifers. U.S. Department of Agriculture, Forest Service, Intermountain Research Station Research Note INT-261. Ogden, UT, 7 pp.
76. Linn RR (1997) A transport model for prediction of wildfire behavior. Ph. D. dissertation, New Mexico State University, Las Cruces, New Mexico, USA.
77. Liodakis S, Bakirtzis D, Dimitrakopoulos A (2002) Ignition characteristics of forest species in relation to thermal analysis data. Thermochim Acta 390(1-2):83-91.
78. Mitchell SJ (2013) Wind as a natural disturbance agent in forests: a synthesis. Forestry 86(2):147-157. doi:10.1093/forestry/cps058.
79. Moritz MA, Morais ME, Summerell LA, Carlson JM, Doyle J (2005) Wildfires, complexity, and highly optimized tolerance. Proc Natl Acad Sci 102(50):17912-17917.
80. Ottmar RD, Sandberg DV, Riccardi CL, Prichard SJ (2007) An overview of the fuel characteristic classification system-quantifying, classifying, and creating fuelbeds for resource planning. Can J Forest Res 37:2383-2393.
81. Parsons RA, Mell WE, McCauley P (2010) Linking 3D spatial models of fuels and fire: effects of spatial heterogeneity on fire behavior. Ecol Model 222(3):679-691.
82. Philpot CW (1969) Seasonal changes in heat content and ether extractive content of chamise. U.S. Department of Agriculture, Forest Service, Intermountain Research Station Research Paper INT-61. Ogden, UT, 10 pp.
83. Philpot CW (1970) Influence of mineral content on the pyrolysis of plant materials. Forest Sci 16(4):461-471.
84. Pyne SJ (2001) The fires this time, and next. Science 294:1005-1006.
85. Pyne SJ, Andrews PL, Laven RD (1996) Introduction to wildland fire, 2nd edn. Wiley, New York.
86. Ragland KW, Aerts DJ, Baker AJ (1991) Properties of wood for combustion analysis. Bioresource Technol 37(2):161-168.
87. Reinhardt E, Dickinson M (2010) First-order fire effects models for land management: overview and issues. Fire Ecol 6(1):131-142.
88. Reinhardt E, Keane RE, Brown JK (1997) First order fire effects model: FOFEM 4.0 user’s guide. USDA Forest Service, Intermountain Research Station General Technical Report INTGTR- 344, 65 pp.
89. Reinhardt ED, Keane RE, Brown JK (2001) Modeling fire effects. Int J Wildland Fire 10:373-380.
90. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. United States Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-115, Ogden, Utah, 88 pp.
91. Rothermel RC, Deeming JE (1980) Measuring and interpreting fire behaviour for correlation with fire effects. US Forest Service Intermountain Forest and Range Experiment Station, General Technical Report 93, Ogden, UT, 8 pp.
92. Sandberg DV, Riccardi CL, Schaaf MD (2007) Reformulation of Rothermel’s wildland fire behaviour model for heterogeneous fuelbeds. Can J Forest Res 37(12):2438-2455.
93. Scott J, Burgan RE (2005) A new set of standard fire behavior fuel models for use with Rothermel’s surface fire spread model. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-153. Fort Collins, CO, 66 pp.
94. Shafizadeh F, Chin PPS, DeGroot WF (1977) Effective heat content of green forest fuels. Forest Sci 23(1):81-89.
95. Sikkink PG, Keane RE (2008) A comparison of five sampling techniques to estimate surface fuel loading in montane forests. Int J Wildland Fire 17(3):363-379. doi:10.1071/Wf07003.
96. Sullivan AL (2009a) Wildland surface fire spread modelling, 1990-2007. 1: physical and quasiphysical models. Int J Wildland Fire 18(4):349-368.
97. Sullivan AL (2009b) Wildland surface fire spread modelling, 1990-2007. 2: empirical and quasiempirical models. Int J Wildland Fire 18(4):369-386.
98. Susott RA, DeGroot WF, Shafizadeh F (1975) Heat content of natural fuels. J Fire Flammability 6:311-325.
99. Thomas PH (1953) Effects of fuel geometry in fires. Building Research Establishment Current Paper. Department of the Environment, Building Research Establishment, Borehamwood, 15 pp.
100. Trakhtenbrot A, Katul GG, Nathan R (2014) Mechanistic modeling of seed dispersal by wind over hilly terrain. Ecol Model 274(0):29-40.
101. Van Wagner CE (1983) Fire behaviour in northern conifer forests and shrublands. In: Wein RW, MacLean DA (eds) The role of fire in northern circumpolar ecosystems. Wiley, Chichester, pp 65-80.
102. Weikert RM, Wedler M, Lippert M, Schramel P, Lange OL (1989) Photosynthetic performance, chloroplast pigments, and mineral content of various needle age classes of spruce (Picea abies) with and without the new flush: an experimental approach for analysing forest decline phenomena. Trees 3(3):161-172. doi:10.1007/bf00226652.
103. Whelan RJ (1995) The Ecology of Fire. Cambridge studies in ecology. Cambridge University Press, Cambridge.
104. Zhou XY, Mahalingam S (2001) Evaluation of reduced mechanism for modeling combustion of pyrolysis gas in wildland fire. Combust Sci Technol 171:39-70. doi:10.1080/00102200108907858.
105. Albini FA, Reinhardt ED (1995) Modeling ignition and burning rate of large woody natural fuels. Int J Wildland Fire 5(2):81-91.
106. Anderson HE (1969) Heat transfer and fire spread. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-69. Ogden, UT, USA, 20 pp.
107. Andreu AG, Shea D, Parresol BR, Ottmar RD (2012) Evaluating fuel complexes for fire hazard mitigation planning in the southeastern United States. For Ecol Manage 273(0):4-16. doi:http://dx.doi.org/10.1016/j.foreco.2011.06.040.
108. Brown JK (1981) Bulk densities of nonuniform surface fuels and their application to fire modeling. For Sci 27:667-683.
109. Brown JK, Bevins CD (1986) Surface fuel loadings and predicted fire behavior for vegetation types in the northern Rocky Mountains. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-358. Ogden, UT USA, 9 pp.
110. Brown JK, Oberheu RD, Johnston CM (1982) Handbook for inventoring surface fuels and biomass in the Interior West. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-129. Ogden, UT, USA, 48 pp.
111. Brown JK, Reinhardt ED, Fischer WC (1991) Predicting duff and woody fuel consumption in northern Idaho prescribed fires. For Sci 37(6):1550-1566.
112. Busing RT, White RD, Harmon ME, White PS (2009) Hurricane disturbance in a temperate deciduous forest: patch dynamics, tree mortality, and coarse woody detritus. Plant Ecol 201(1):351-363. doi:10.1007/s11258-008-9520-0.
113. Flavelle M (2008) Kimberely grasslands field curing guide. Kimberely Regional Fire Management Project, Broome. CSIRO Publishing, Western Australia.
114. Fosberg MA, Lancaster JW, Schroeder MJ (1970) Fuel moisture response-drying relationships under standard and field conditions. For Sci 16(1):121-128.
115. Frandsen WH (1983) Modeling big sagebrush as a fuel. J Range Manage 36(5):596-600.
116. Fule PZ, McHugh C, Heinlein TA, Covington WW (2001) Potential fire behavior is reduced following forest restoration treatments. In: Regina K, Edminster CB, Covington WW, Blake JA (eds) Ponderosa pine ecosystems restoration and conservation: steps toward stewardship, Flagstaff, pp 28-35. USDA Forest Service Rocky Mountain Research Station, Proceedings RMRS-P-22.
117. Harmon ME, Franklin JF, Swanson FJ, Sollins P, Gregory SV, Lattin JD, Anderson NH, Cline SP, Aumen NG, Sedell JR, Lienkaemper GW, Cromack K, Cummins KW (1986) Ecology of coarse woody debris in temperate ecosystems. Adv Ecol Res 15:133-302.
118. Higgins SI, Bond WJ, Trollope WW (2000) Fire, resprouting and variability: a recipe for grass-tree coexistence in savanna. J Ecol 88:213-229.
119. Hutto RL (2006) Toward meaningful snag-management guidelines for postfire salvage logging in North American conifer forests. Conserv Biol 20(4):984-993. doi:10.1111/j.1523- 1739.2006.00494.x.
120. Jenkins MA, Hebertson E, Page W, Jorgensen CA (2008) Bark beetles, fuels, fire and implications for forest management in the Intermountain West. For Ecol Manage 254:16-34.
121. Kane JM, Varner JM, Knapp EE (2009) Novel fuel characteristics associated with mechanical mastication treatments in northern California and south-western Oregon, USA. Int J Wildland Fire 18:686-697.
122. Keane RE, Dickinson LJ (2007) The Photoload sampling technique: estimating surface fuel loadings using downward looking photographs. USDA Forest Service Rocky Mountain Research Station General Technical Report RMRS-GTR-190, 44 pp.
123. Keane RE (2008) Surface fuel litterfall and decomposition in the northern Rocky Mountains, USA. USDA Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-70. Fort Collins, Colorado USA, 22 pp.
124. Keane R, Gray K, Bacciu V, Leirfallom S (2012) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landscape Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
125. Keane RE, Gray K (2013) Comparing three sampling techniques for estimating fine woody down dead biomass. Int J Wildland Fire 22(8):1093-1107. doi: http://dx.doi.org/10.1071/WF13038.
126. Lutes DC, Keane RE, Caratti JF, Key CH, Benson NC, Sutherland S, Gangi LJ (2006) FIREMON: Fire effects monitoring and inventory system. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-164-CD. Fort Collins, CO USA.
127. Lutes DC, Keane RE, Caratti JF (2009) A surface fuels classification for estimating fire effects. Int J Wildland Fire 18:802-814.
128. Nappi A, Drapeau P, Savard JPL (2004) Salvage logging after wildfire in the boreal forest: is it becoming a hot issue for wildlife? For Chron 80(1):67-74. doi:10.5558/tfc80067-1.
129. Ottmar RD, Sandberg DV, Riccardi CL, Prichard SJ (2007) An overview of the fuel characteristic classification system-quantifying, classifying, and creating fuelbeds for resource planning. Can J Forest Res 37:2383-2393.
130. Pyne SJ, Andrews PL, Laven RD (1996) Introduction to wildland fire, 2nd edn. Wiley, New York.
131. Reinhardt E, Keane RE, Brown JK (1997) First order fire effects model: FOFEM 4.0 user’s guide. USDA Forest Service, Intermountain Research Station General Technical Report INTGTR- 344, 65 pp.
132. Riccardi CL, Ottmar RD, Sandberg DV, Andreu A, Elman E, Kopper K, Long J (2007a) The fuelbed: a key element of the fuel characteristic classification system. Can J For Res 37:2394-2412.
133. Riccardi CL, Prichard SJ, Sandberg DV, Ottmar RD (2007b) Quantifying physical characteristics of wildland fuels using the Fuel Characteristic Classification System. Can J For Res 37:2413-2420.
134. Rothermel RC (1993) Mann Gulch fire: a race that couldn’t be won. U.S. Department of Agriculture, Forest Service, Intermountain Research Station, General Technical Report INT-299. Ogden, UT USA, 10 pp.
135. Shetler G, Turetsky MR, Kane E, Kasischke E (2008) Sphagnum mosses limit total carbon consumption during fire in Alaskan black spruce forests. Can J For Res 38(8):2328-2336. doi:10.1139/x08-057.
136. Soil Classification Working Group (1998) The Canadian System of Soil Classification. Agriculture and Agri-Food Canada, Soil Classification Working Group, 3rd ed. The Canadian System of Soil Classification, 187 p.
137. Soil Survey Staff (2006) Keys to Soil Taxonomy, 10th ed. U.S. Department of Agriculture Natural Resource Conservation Service, Washington, DC, USA.
138. Stephens SL, Finney M, Schentz H (2004) Bulk density and fuel loads of ponderosa pine and white fir forest floors: Impacts of leaf morphology. Norhtwest Sci 78(2):93-104.
139. Sylvester TW, Wein RW (1981) Fuel characteristics of arctic plant species and simulated plant community flammability by Rothermel’s model. Can J Bot 59(5):898-907. doi:10.1139/b81-125.
140. Ulanova NG (2000) The effects of windthrow on forests at different spatial scales: a review. For Ecol Manage 135(1-3):155-167. doi:http://dx.doi.org/10.1016/S0378-1127(00)00307-8.
141. Woodall CW, Nagel LM (2007) Downed woody fuel loading dynamics of a large-scale blowdown in northern Minnesota, U.S.A. For Ecol Manage 247(1-3):194-199 doi:http://dx.doi. org/10.1016/j.foreco.2007.04.040.
142. Agee JK (1996) The influence of forest structure on fire behavior. In: Proceedings of the 17th annual forest vegetation management conference, Redding. CA, USA, January 16-18, pp 52-68.
143. Alexander ME (1988) Help with making crown fire hazard assessments. In: Fischer W, Arno SF (eds) Protecting people and homes from wildfire in the interior West: proceedings of the symposium and workshop. General Technical Report INT-251. USDA Forest Service, Intermountain Research Station, Ogden, pp 147-153.
144. Alexander ME (1998) Crown fire thresholds in exotic pine plantations of Australasia. Ph.D. dissertation, Australian National University. Canberra, Australia.
145. Alexander ME, Cruz MG (2013) Are the applications of wildland fire behaviour models getting ahead of their evaluation again? Environ Model Softw 41:65-71. doi:http://dx.doi. org/10.1016/j.envsoft.2012.11.001.
146. Alexander ME, Cruz MG (2014) Tables for estimating canopy fuel characteristics from stand variables in four Interior West conifer forest types. Forest Science 60(4)784-794.
147. Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. General technical report INT-122, USDA Forest Service Intermountain Research Station, Ogden, Utah, USA, 22 pp.
148. Brown JK, Reinhardt E (1991) Estimating and regulating fuel consumption to manage smoke in the Interior West. In: Proceedings of the 11th conference on fire and forest meterology, Missoula, Montana. Society of American Foresters, Bethesda, MD, USA, pp 419-429.
149. Call PT, Albini FA (1997) Aerial and surface fuel consumption in crown fires. Int J Wildland Fire 7(3):259-264.
150. Cruz MG, Alexander ME (2010) Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies. Int J Wildland Fire 19(4):377-398. doi:http://dx.doi.org/10.1071/WF08132.
151. Cruz MG, Alexander ME, Wakimoto RH (2003) Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America. Int J Wildland Fire 12:39-50.
152. Fahnestock GB (1970) Two keys for appraising forest fire fuels. USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, Res. Bull. PNW-RB-099, Portland, OR, 31 pp.
153. Finney MA (1998) FARSITE: Fire Area Simulator-model development and evaluation. Research Paper RMRS-RP-4, United States Department of Agriculture, Forest Service Rocky Mountain Research Station, Fort Collins, CO, USA, 47 pp.
154. Forestry Canada Fire Danger Group FCFDG (1992) Development and structure of the Canadian Forest Fire Behavior Prediction System. Information Report ST-X-3, Forestry Canada, Science and Sustainable Development Directorate, Minister of Supply and Services Ottawa, Ontario, 62 pp.
155. Keane RE, Reinhardt ED, Scott J, Gray K, Reardon JJ (2005) Estimating forest canopy bulk density using six indirect methods. Can J For Res 35:724-739.
156. Keane RE, Frescino TL, Reeves MC, Long J (2006) Mapping wildland fuels across large regions for the LANDFIRE prototype project. In: Rollins MG, Frame C (eds) The LANDFIRE prototype project: nationally consistent and locally relevant geospatial data for wildland fire management. USDA Forest Service Rocky Mountain Research Station, pp 367-396.
157. Keane R, Gray K, Bacciu V, Leirfallom S (2012a) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landsc Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
158. Keane RE, Gray K, Bacciu V (2012b) Spatial variability of wildland fuel characteristics in northern Rocky Mountain ecosystems. Research Paper RMRS-RP-98, USDA Forest Service Rocky Mountain Research Station, Fort Collins, Colorado, USA, 58 pp.
159. Linn RR (1997) A transport model for prediction of wildfire behavior. Ph.D. dissertation, New Mexico State University, Las Cruces, New Mexico, USA.
160. Nabel JEMS, Kirchner JW, Zurbriggen N, Kienast F, Lischke H (2014) Extrapolation methods for climate time series revisited-spatial correlations in climatic fluctuations influence simulated tree species abundance and migration. Ecol Complex. doi:http://dx.doi.org/10.1016/j. ecocom.2014.02.006.
161. Nadkarni NM (1994) Diversity of species and interactions in the upper tree canopy of forest ecosystems. Am Zool 34(1):70-78. doi:10.1093/icb/34.1.70.
162. Parsons RA (2006) Fuel 3D: a spatially explicit fractal fuel distribution model. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, OR USA. USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41. Fort Collins, CO, pp 51-66.
163. Parsons RA, Mell WE, McCauley P (2010) Linking 3D spatial models of fuels and fire: effects of spatial heterogeneity on fire behavior. Ecol Model 222(3):679-691.
164. Reeves MC, Kost JR, Ryan KC (2006) Fuels products of the LANDFIRE project. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland OR. USDA Forest Service Rocky Mountain Research Station, Proceedings RMRS-P-41 Fort Collins, CO, pp 239-249.
165. Reeves MC, Ryan KC, Rollins MC, Thompson TG (2009) Spatial fuel data products of the LANDFIRE project. Intl J Wildland Fire 18:250-267.
166. Reinhardt E, Lutes D, Scott J (2006a) Fuel Calc: a method for estimating fuel characteristics. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, OR. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41, Fort Collins, CO, pp 273-287.
167. Reinhardt E, Scott J, Gray K, Keane R (2006b) Estimating canopy fuel characteristics in five conifer stands in the western United States using tree and stand measurements. Can J For Res-Rev Can Rech For 36(11):2803-2814. doi:10.1139/X06-157.
168. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. Utah Research Paper INT-115, United States Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, 88 pp.
169. Rothermel RC (1991) Predicting behavior and size of crown fires in the Northern Rocky Mountains. Research Paper INT-438, US Department of Agriculture, Forest Service Intermountain Forest and Range Experiment Station, Ogden, Utah, USA 46 pp.
170. Rothermel RC (1993) Some fire behavior modeling concepts for fire management systems. In: Proceedings of the 12th Annual Conference on Fire and Forest Meteorology, Jekyll Island, GA, Society of American Foresters, Bethesda, MD USA, pp 164-171.
171. Sando RW, Wick CH (1972) A method of evaluating crown fuels in forest stands. Research Paper NC-84, United States Department of Agriculture, Forest Service North Central Forest Experiment Station, Saint Paul, Minnesota, USA, 10 pp.
172. Scott JH, Reinhardt ED (2001) Assessing crown fire potential by linking models of surface and crown fire behavior. Research Paper RMRS-RP-29, USDA Forest Service Rocky Mountain Research Station, Fort Collins, CO, 59 pp.
173. Scott JH, Reinhardt ED (2002) Estimating canopy fuels in conifer forests. Fire Manage Today 62(4):45-50.
174. Scott JH, Reinhardt ED (2005) Stereo photo guide for estimating canopy fuel characteristics in conifer stands. General Technical Report RMRS-GTR-145, USDA Forest Service Rocky Mountain Research Station, Fort Collins, CO, 47 pp.
175. Stocks BJ, Alexander ME, Wotton BM, Stefner CN, Flannigan MD, Taylor SW, Lavoie N, Mason JA, Hartley GR, Maffey ME, Dalrymple GN, Blake TW, Cruz MG, Lanoville RA (2004) Crown fire behaviour in a northern jack pine-black spruce forest. Can J For Res 34(8):1548-1560. doi:10.1139/x04-054.
176. van Wagner CE (1977) Conditions for the start and spread of crown fire. Can J For Res 7:23-34.
177. van Wagner CEV (1993) Prediction of crown fire behavior in two stands of jack pine. Can J For Res 23:442-449.
178. Ward DE (1995) Smoke emissions from biomass burning. In: Hassol SJ, Katzenberger J (eds) Elements of change. Changes in global vegetation patterns and their relationship to human activity. Aspen Global Change Institute, Aspen, pp 107-111.
179. Waring RH, Running SW (1998) Forest ecosystems: analysis at multiple scales, 2nd edn. Academic, San Diego.
180. Zhang T, Lichstein JW, Birdsey RA (2014) Spatial and temporal heterogeneity in the dynamics of eastern US forests: implications for developing broad-scale forest dynamics models. Ecol Model 279:89-99. doi:http://dx.doi.org/10.1016/j.ecolmodel.2014.02.011.
181. Anderson HE (1976) Fuels-the source of the matter. Paper presented at the Air quality and smoke from urban and forest fires. In: Proceedings of the international symposium, Colorado State University, Fort Collins, CO, 1976.
182. Banks WG, Frayer HC (1966) Rate of forest fire spread and resistance to control in the fuel types of the eastern region. U.S. Department of Agriculture, Forest Service, Fire Control Notes, vol 27. Washington, DC.
183. Brown JK (1978) Weight and density of crowns of rocky mountain conifers. United States Department of Agriculture, Forest Service Intermountain Forest and Range Experiment Station, Research Paper INT-197 Ogden, UT USA 56 pp.
184. Campbell GS (1977) An introduction to environmental biophysics. Springer-Verlag, New York.
185. Chatto K, Tolhurst KG (1997) Development and testing of the wiltronics TH fine fuel moisture meter. Fire Management Branch, Department of Natural Resources and the Environment Victoria, Australia ISBN: 0730666980.
186. Chladil MA, Nunez M (1995) Assessing grassland moisture and biomass in Tasmania-the application of remote sensing and empirical models for a cloudy environment. Int J Wildland Fire 5(3):165-171.
187. Chrosciewicz Z (1986) Foliar moisture content variations in four coniferous tree species of central Alberta. Can J For Res 16:157-162.
188. Chuvieco E, Martin MP (1994) Global fire mapping and fire danger estimation using AVHRR images. Photogramm Eng Remote Sens 60(5):563-570.
189. Dexter BD, Williams DF (1976) Direct field estimation of fine fuel moisture content. Aust For 39(2):140-144. doi:10.1080/00049158.1976.10675649.
190. Djolani B (1970) Hysteresis and secondary phenomena in sorption of water in wood at temperatures of 5°, 21°, 35°, and 50°C. Notes Rech Dep Exploit Util Bois Univ Laval (8):58.
191. Eagleson PS (1978) Climate, soil, and vegetation. Water Resour Res 14(5):705-776.
192. Fosberg MA, Lancaster JW, Schroeder MJ (1970) Fuel moisture response-drying relationships under standard and field conditions. For Sci 16(1):121-128.
193. Hardy CC, Burgan RE, Ottmar RD (1999) A database for spatial assessments of fire characteristics, fuel profiles, and PM10 emissions. J Sustain For 11(1-2):229-244.
194. Jolly WM (2007) Sensitivity of a surface fire spread model and associated fire behaviour fuel models to changes in live fuel moisture. Int J Wildland Fire 16(4):503-509. doi:http://dx.doi. org/10.1071/WF06077.
195. Jolly WM, Parsons RA, Hadlow AM, Cohn GM, McAllister SS, Popp JB, Hubbard RM, Negron JF (2012) Relationships between moisture, chemistry, and ignition of Pinus contorta needles during the early stages of mountain pine beetle attack. Forest Ecology and Management 269 (0):52-59. doi:http://dx.doi.org/10.1016/j.foreco.2011.12.022.
196. Kauffman JB, Martin RE (1985) Shrub and hardwood response to prescribed burning with varying season, weather, and fuel moisture. In: Proceedings from the 8th conference on fire and forest meterology, Detroit, MI. Society of American foresters, Bethesda, MD, pp 279-286.
197. Marsden-Smedley JB, Catchpole WR (2001) Fire modelling in Tasmanian buttongrass moorlands. III. Dead fuel moisture. International Journal of Wildland Fire 10(2):241-253. doi:http://dx.doi.org/10.1071/WF01025.
198. Matthews S (2013) Dead fuel moisture research: 1991-2012. Int J Wildland Fire. 23(1):78-92. doi:http://dx.doi.org/10.1071/WF13005.
199. McAllister S, Grenfell I, Hadlow A, Jolly WM, Finney M, Cohen J (2012) Piloted ignition of live forest fuels. Fire Safety J 51:133-142. doi:http://dx.doi.org/10.1016/j.firesaf.2012.04.001.
200. Nelson RM Jr (2001) Water relations of forest fuels. In: Johnson EA, Miyanishi K (eds) Forest fires: behavior and ecological effects. Academic, San Diego, pp 79-149.
201. Paltridge GW, Mitchell RM (1990) Atmospheric and viewing angle correction of vegetation indices and grassland fuel moisture content dervied from NOAA/AVHRR. Remote Sens Environ 31:121-135.
202. Plamondon PA, Black TA, Goodell BC (1972) The role of hydrologic properties of forest floor in watershed hydrology. National symposium on Watersheds in Transition. American Water Resources Association, pp 341-348.
203. Pyne SJ, Andrews PL, Laven RD (1996) Introduction to wildland fire, 2nd edn. Wiley, New York.
204. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. United States Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, Utah Research Paper INT-115, 88 pp.
205. Schroeder MJ, Buck CC (1970) Fire weather… A guide to application of meteorological information to forest fire control operations. U.S. Department of Agriculture, Forest Service, Agric Handb No. 360 Washington, DC 229 pp.
206. Scott AC, Bowman DMJS, Bond WJ, Pyne SJ, Alexander ME (eds) (2014) Fire on earth: an introduction. Wiley, Chichester.
207. Simard AJ (1968) The moisture content of forest fuels-I- A review of the basic concepts. Department of Forestry and Rural Development, information report FF-X-14 Ottawa, Ontario, Canada, 44 pp.
208. Stamm AJ (1927) The electrical resistance of wood as a measure of its moisture content. Ind Eng Chem 19(9):1021-1025.
209. Trabaud L (1976) Inflammabilid et Combustibilid des Principales Esptces des Ganigues de la Rdgion MMiterran6wnw. Oecol Plant 11(2):117-136.
210. Viney NR (1991) A review of fine fuel moisture modelling. Int J Wildland Fire 1(4):215-234.
211. Waring RH, Running SW (1998) Forest ecosystems: analysis at multiple scales, 2nd edn. Academic, San Diego.
212. Wilson RA, Jr (1985) Observations of extinction and marginal burning states in free burning porous fuel beds. Combustion Science and Technology 44, 179-193.
213. Agee JK, Huff MH (1987) Fuel succession in a western hemlock/Douglas-fir forest. Can J For Res 17(7):697-704.
214. Agee JK, Skinner CN (2005) Basic principles of forest fuel reduction treatments. Forest Ecol Manag 211:83-96.
215. Albini FA, Reinhardt ED (1995) Modeling ignition and burning rate of large woody natural fuels. Int J Wildland Fire 5(2):81-91.
216. Alexander RR (1954) A comparison of growth and morality following cutting in old-growth mountain spruce stands. USDA Forest Service Rocky Mountain Forest and Range Experiment Station. Research Note RN-11. Fort Collins, CO USA. 11 pp.
217. Anderson HE (1976) Fuels-the source of the matter. Paper presented at the Air quality and smoke from urban and forest fires-Proceedings of the international symposium, Colorado State University, Fort Collins, CO, 1976.
218. Asner GP, Elmore AJ, Olander LP, Martin RE, Harris AT (2004) Grazing systems, ecosystem responses, and global change. Annu Rev Environ Res 29(1):261-299. doi:10.1146/annurev. energy.29.062403.102142.
219. Augusiak J, Van den Brink PJ, Grimm V (2013) Merging validation and evaluation of ecological models to ‘evaludation’: a review of terminology and a practical approach. Ecol Model. doi:http://dx.doi.org/10.1016/j.ecolmodel.2013.11.009.
220. Avery CC, Larson FR, Schubert HG (1976) Fifty-year records of virgin stand development in southwestern ponderosa pine. USDA Forest Service Rocky Mountain Forest and Range Experiment Station General Technical Report, Fort Collins, CO USA. 22 pp.
221. Azuma D (2010) The effects of a western spruce budworm outbreak on the dead wood component in relation to ownership in forests of eastern Oregon. West J Appl For 25(4):176-180.
222. Bachelet D, Lenihan JM, Daly C, Neilson RP (2000) Interactions between fire, grazing and climate change at Wind Cave National Park, SD. Ecol Model 134:229-244.
223. Bazzaz FA (1979) The physiological ecology of plant succession. Annu Rev Ecol Syst 10:351-371.
224. Bellehumeur C, Legendre P (1998) Multiscale sources of variation in ecological variables: modeling spatial dispersion, elaborating sampling designs. Landsc Ecol 13:15-25.
225. Berg B, Ekbohm G (1993) Decomposing needle litter in Pinus contorta (Lodgepole pine) and Pinus sylvestris (Scots pine) monocultural systems-is there a maximum mass loss. Scand J For Res 8:457-465.
226. Bigler C, Kulakowski D, Veblen TT (2005) Multiple disturbance interactions and drought influence fire severity in rocky mountain subalpine forests. Ecology 86(11):3018-3029.
227. Bray JR, Gorham E (1964) Litter production in forests of the world. Advances in Ecological Research. Wiley and Sons, New York, pp 101-157.
228. Briggs JM, Knapp AK, Brock BL (2002) Expansion of woody plants in tallgrass prairie: a fifteen-year study of fire and fire-grazing interactions. Am Midl Nat 147(2):287-294. doi:10.1674/0003-0031(2002)147[0287:eowpit]2.0.co;2.
229. Brown JK (1978) Weight and density of crowns of rocky mountain conifers. United States Department of Agriculture, Forest Service Intermountain Forest and Range Experiment Station, Research Paper INT-197 Ogden, UT USA, 56 pp.
230. Brown JK, Bevins CD (1986) Surface fuel loadings and predicted fire behavior for vegetation types in the northern rocky mountains. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-358 Ogden, UT USA, 9 pp.
231. Brown JK, Reinhardt E (1991) Estimating and regulating fuel consumption to manage smoke in the interior west. In: 11th conference on fire and forest meterology, Missoula, Montana. Society of American Foresters, Bethesda, MD USA, pp 419-429.
232. Busing RT, White RD, Harmon ME, White PS (2009) Hurricane disturbance in a temperate deciduous forest: patch dynamics, tree mortality, and coarse woody detritus. Plant Ecol 201(1):351-363. doi:10.1007/s11258-008-9520-0.
233. Busse MD (1994) Downed bole-wood decomposition in lodgepole pine forests of central Oregon. Soil Sci Soc Am J 58:221-227.
234. Call PT, Albini FA (1997) Aerial and surface fuel consumption in crown fires. Int J Wildland Fire 7(3):259-264.
235. Campbell EM, Antos JA (2000) Distribution and severity of white pine blister rust and mountain pine beetle on whitebark pine in British Columbia. Can J Bot 30:1051-1059.
236. Christiansen EC, Pickford SG (1991) Natural abatement of fire hazard in Douglas-fir blowdown and thinning fuelbeds. Northwest Sci 65:141-147.
237. Clements F (1916) Plant succession: an analysis of the development of vegetation, vol Publ. 242. Carnegie Institution of Washington, Washington, DC.
238. Collalti A, Perugini L, Santini M, Chiti T, Nolè A, Matteucci G, Valentini R (2014) A processbased model to simulate growth in forests with complex structure: evaluation and use of 3DCMCC forest ecosystem model in a deciduous forest in Central Italy. Ecol Model 272:362-378. doi:http://dx.doi.org/10.1016/j.ecolmodel.2013.09.016.
239. Collins B, Roller G (2013) Early forest dynamics in stand-replacing fire patches in the northern Sierra Nevada, (California, USA). Landsc Ecol 28(9):1801-1813. doi:10.1007/s10980-013- 9923-8.
240. Connell JH, Slayter RO (1977) Mechanisms of succession and their role in community stabilization and organization. Am Nat 111:1119-1144.
241. Diffenbaugh NS, Field CB (2013) Changes in ecologically critical terrestrial climate conditions. Science 341(6145):486-492. doi:10.1126/science.1237123.
242. Dimock EJ (1958) Litter fall in a young stand of Douglas-fir. Northwest Sci 32:19-29.
243. Edmonds RL (1979) Decomposition and nutrient release in Douglas-fir needle litter in relation to stand development. Can J For Res 9:132-138.
244. Edmonds RL (1987) Decomposition rates and nutrient dynamics in small-diameter woody litter in four forest ecosystems in Washington, USA. Can J For Res 17:499-509.
245. Edmonds RL (1991) Organic matter decomposition in western United States forests. In: Management and productivity of western-montane forest soils. USDA Forest Service Intermountain Research Station General Technical Report INT-280. Boise, ID, pp 118-125.
246. Edmonds RL, Eglitis A (1989) The role of the Douglas-fir beetle and wood borers in the decomposition and nutrient release from Douglas-fir logs. Can J For Res 19:853-859.
247. Edmonds RL, Vogt D, Sandberg D, Driver CH (1986) Decomposition of Douglas-fir and red alder wood in clear-cuttings. Can J For Res 16:822-831.
248. Ferrari JB (1999) Fine-scale patterns of leaf litterfall and nitrogen cycling in an old-growth forest. Can J For Res 29:291-302.
249. Fogel R, Cromack K (1977) Effect of habitat and substrate quality on Douglas-fir litter decomposition in western Oregon. Can J Bot 55:1632-1640.
250. Fortin M-J (1999) Spatial statistics in landscape ecology. In: Klopatek JM, Gardner RH (eds) Landscape ecological analysis: issues and applications. Springer-Verlag, New York, pp 253-279.
251. Geiszler DR, Gara RI, Driver CH, Gallucci VF, Martin RE (1980) Fire, fungi, and beetle influences on a lodgepole pine ecosystem of south-central Oregon. Oecologia 46:239-243.
252. Goheen DJ, Hansen EM (1993) Effects of pathogens and bark beetles on forests. In: Schowalter T, Filip GM (eds) Beetle-Pathogen interactions in conifer forests. Academic, San Diego, pp 175-196.
253. Gottfried GL (1978) Five-year growth and development in a virgin Arizona mixed conifer stand. USDA Forest Service Rocky Mountain Forest and Range Experiment Station, Research Paper RM-203. Fort Collins, CO USA.
254. Graham RL (1982) Biomass dynamics of dead Douglas-fir and western hemlock boles in midelevation forests of the Cascade Range. Ph.D. Dissertation. Oregon State University, Corvallis, Oregon, USA. 121 pp.
255. Grier CC, Logan RS (1977) Old-growth Pseudotsuga menziesii communities of a western Oregon watershed: Biomass distribution and production budgets. Ecol Monogr 47:373-400.
256. Habeck JR (1985) Impact of fire suppression on forest succession and fuel accumulations in long fire interval wilderness habitat types. Proceedings:symposium and workshop on wilderness fire. U.S. department of agriculture, forest service, intermountain forest and range experiment station, Ogden, UT., USA, Missoula, MT, pp 76-85.
257. Harmon ME, Franklin JF, Swanson FJ, Sollins P, Gregory SV, Lattin JD, Anderson NH, Cline SP, Aumen NG, Sedell JR, Lienkaemper GW, Cromack K, Cummins KW (1986) Ecology of coarse woody debris in temperate ecosystems. Adv Ecol Res 15:133-302.
258. Harmon ME, Hua C (1991) Coarse woody debris dynamics in two old-growth ecosystems. Bioscience 41:604-610.
259. Harmon ME, Woodall CW, Fasth B, Sexton J (2008) Woody detritus density and density reduction factors for tree species in the United States: a synthesis. USDA forest service northern research station, General Technical Report NRS-29 Newton Square, PA USA, 84 pp.
260. Hart SC, Firestone MK, Paul EA (1992) Decomposition and nutrient dynamics of ponderosa pine needles in a Mediterranean-type climate. Can J For Res 22:306-314.
261. Hartley CCP (1958) Evaluation of wood decay in experimental work. Collections.
262. Hicke JA, Johnson MC, Hayes JL, Preisler HK (2012) Effects of bark beetle-caused tree mortality on wildfire. For Ecol Manag 271:81-90. doi:http://dx.doi.org/10.1016/j.foreco.2012.02.005.
263. Hiers JK, O’Brien JJ, Mitchell RJ, Grego JM, Loudermilk EL (2009) The wildland fuel cell concept: an approach to characterize fine-scale variation in fuels and fire in frequently burned longleaf pine forests. Int J Wildland Fire 18(3):315-325. doi:10.1071/WF08084.
264. Hoffman CM, Hull Sieg C, McMillin JD, Fulé PZ (2012) Fuel loadings 5 years after a bark beetle outbreak in south-western USA ponderosa pine forests. Int J Wildland Fire 21(3):306-312. doi:http://dx.doi.org/10.1071/WF11019.
265. Jenkins MA, Hebertson E, Page W, Jorgensen CA (2008) Bark beetles, fuels, fire and implications for forest management in the Intermountain West. For Ecol Manag 254:16-34.
266. Jenkins MJ, Page WG, Hebertson EG, Alexander ME (2012) Fuels and fire behavior dynamics in bark beetle-attacked forests in Western North America and implications for fire management. For Ecol Manag 275:23-34. doi:http://dx.doi.org/10.1016/j.foreco.2012.02.036.
267. Jia GJ, Burke IC, Goetz AFH, Kaufmann MR, Kindel BC (2006) Assessing spatial patterns of forest fuels using AVIRIS data. Remote Sens Environ 102:318-327.
268. Jin S (2004) Computer classification of four major components of surface fuel in Northeast China by image: the first step towards describing spatial heterogeneity of surface fuels by imags. For Ecol Manag 203:395-406.
269. Jolly WM, Parsons RA, Hadlow AM, Cohn GM, McAllister SS, Popp JB, Hubbard RM, Negron JF (2012) Relationships between moisture, chemistry, and ignition of Pinus contorta needles during the early stages of mountain pine beetle attack. For Ecol Manag 269:52-59. doi:http://dx.doi.org/10.1016/j.foreco.2011.12.022.
270. Keane RE (2008a) Biophysical controls on surface fuel litterfall and decomposition in the northern rocky mountains, USA. Can J For Res 38(6):1431-1445. doi:10.1139/X08-003.
271. Keane RE (2008b) Surface fuel litterfall and decomposition in the northern rocky mountains, USA. USDA forest service rocky mountain research station, Research Paper RMRS-RP-70 Fort Collins, Colorado, 22 pp.
272. Keane RE (2013) Disturbance regimes and the historical range of variation in terrestrial ecosystems. In: Editor-in-Chief: Simon AL (ed) Encyclopedia of biodiversity, 2nd edn. Academic Waltham, pp 568-581. doi:http://dx.doi.org/10.1016/B978-0-12-384719-5.00389-0.
273. Keane RE, Parsons RA (2010) A management guide to ecosystem restoration treatments: whitebark pine forests of the northern rocky mountains. USDA forest service rocky mountain research station, General technical report RMRS-GTR-232 Fort Collins, CO. 123 pp.
274. Keane RE, Veblen T, Ryan KC, Logan J, Allen C, Hawkes B (2002) The cascading effects of fire exclusion in the rocky mountains. In: Baron J (ed) Rocky mountain futures: an ecological perspective. Island Press, Washington, pp 133-153.
275. Keane R, Gray K, Bacciu V, Leirfallom S (2012a) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landscape Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
276. Keane RE, Gray K, Bacciu V (2012b) Spatial variability of wildland fuel characteristics in northern rocky mountain ecosystems. USDA forest service rocky mountain research station, Research Paper RMRS-RP-98 Fort Collins, Colorado USA, 58 pp.
277. Keane RE, Herynk JM, Toney C, Urbanski SP, Lutes DC, Ottmar RD (2013) Evaluating the performance and mapping of three fuel classification systems using forest inventory and analysis surface fuel measurements. For Ecol Manag 305:248-263. doi:http://dx.doi.org/10.1016/j. foreco.2013.06.001.
278. Keane RE, Miller C, Smithwick E, McKenzie D, Falk D, Kellogg L (2014) Representing climate, disturbance, vegetation interactions in landscape simulation models. Landscape Ecol (in press).
279. Keeley JE, Lubin D, Fotheringham CJ (2003) Fire and grazing impacts on plant diversity and alien plant invasions in the sourthern Sierra Nevada. Ecol Appl 13(5):1355-1374. doi:10.1890/02-5002.
280. Keenan RJ, Prescott CE, Kimmins JP, Pastor J, Dewey B (1996) Litter decomposition in western red cedar and western hemlock forests on northern Vancouver Island, British Columbia. Can J Bot 74:1626-1634.
281. Klemmedson JO (1992) Decomposition and nutrient release from mixtures of Gambel oak and ponderosa pine leaf litter. For Ecol Manag 47:349-361.
282. Klemmedson JO, Meier CE, Campbell RE (1990) Litter fall transfers of dry matter and nutrients in ponderosa pine stands. Can J For Res 20:1105-1115.
283. King KJ, Bradstock RA, Cary GJ, Chapman J, Marsden-Smedley JB (2008) The relative importance of fine-scale fuel mosaics on reducing fire risk in south-west Tasmania, Australia. Int J Wildland Fire 17(3):421-430. doi:10.1071/WF07052.
284. Klutsch JG, Beam RD, Jacobi WR, Negrón JF (2014) Bark beetles and dwarf mistletoe interact to alter downed woody material, canopy structure, and stand characteristics in northern Colorado ponderosa pine. For Ecol Manag 315:63-71. doi:http://dx.doi.org/10.1016/j.foreco. 2013.12.024.
285. Knapp EE, Keeley JE (2006) Heterogeneity in fire severity within early season and late season prescribed burns in a mixed-conifer forest. Int J Wildland Fire 15(1):37-45. doi:10.1071/Wf04068.
286. Knight DH (1987) Parasites, lightning, and the vegetation mosaic in wilderness landscapes. In: Turner MG (ed) Landscape heterogeneity and disturbance. Ecological studies, vol 64. Springer- Verlag, New York, pp 59-83.
287. Kovacic DA, Dyer MI, Cringan AT (1985) Understory biomass in ponderosa pine following mountain pine beetle infestations. For Ecol Manag 13:53-67.
288. Kueppers LM, Southon J, Baer P, Harte J (2004) Dead wood biomass and turnover time, measured by radiocarbon, along a subalpine elevation gradient. Oecologia 141:641-651.
289. Laiho R, Prescott CE (1999) The contribution of coarse woody debris to carbon, nitrogen, and phosphorus cycles in three Rocky Mountain coniferous forests. Can J For Res 29:1592-1603.
290. Lundquist JE (2007) The relative influence of diseases and other small-scale disturbances on fuel loading in the black hills. Plant Dis 91(2):147-152. doi:10.1094/pdis-91-2-0147.
291. Maguire DA (1994) Branch mortality and potential litterfall from Douglas-fir trees in stands of varying density. For Ecol Manag 70:41-53.
292. Marra JL, Edmonds RL (1996) Coarse woody debris and soil respiration in a clearcut on the Olympic Peninsula, Washington, USA. Can J For Res 26:1337-1345.
293. Martin RE, Anderson HE, Boyer WD, Dieterich JH, Hirsch SN, Johnson VJ, McNab WH (1979) Effects of fire on fuels. USDA forest service, General Technical Report WO-13, Washington, DC, 64 pp.
294. Matson E, Bart D (2013) Interactions among fire legacies, grazing and topography predict shrub encroachment in post-agricultural páramo. Landsc Ecol 28(9):1829-1840. doi:10.1007/s10980-013-9926-5.
295. McKenzie D, Kennedy MC (2011) Scaling laws and complexity in fire regimes. In: McKenzie D, Miller C, Falk DA (eds) The landscape ecology of fire. Springer, Dordrecht, pp 27-51.
296. McKenzie D, Miller C, Falk DA (eds) (2011) The landscape ecology of fire. Springer, Dordrecht.
297. McKenzie D, Shankar U, Keane RE, Stavros EN, Heilman WE, Fox DG, Riebau AC (2014) Smoke consequences of new wildfire regimes driven by climate change. Earth’s Fut:n/a-n/a. doi:10.1002/2013ef000180.
298. Means JE, Cromack K, MacMillan C (1985) Comparison of decomposition models using wood density of Douglas-fir logs. Can J For Res 15:1092-1098.
299. Meentemeyer V (1978) Macroclimate and lignin control of litter decomposition rates. Ecology 59:465-472.
300. Metz MR, Frangioso KM, Meentemeyer RK, Rizzo DM (2010) Interacting disturbances: wildfire severity affected by stage of forest disease invasion. Ecol Appl 21(2):313-320. doi:10.1890/10- 0419.1.
301. Metz MR, Varner JM, Frangioso KM, Meentemeyer RK, Rizzo DM (2013) Unexpected redwood mortality from synergies between wildfire and an emerging infectious disease. Ecology 94(10):2152-2159. doi:10.1890/13-0915.1.
302. Miller RF, Rose JA (1999) Fire history and western juniper encroachment in sagebrush steppe. J Range Manag 1999:550-559.
303. Miller C, Urban DL (2000) Connectivity of forest fuels and surface fire regimes. Landsc Ecol 15:145-154.
304. Millar CS (1974) Decomposion of coniferous leaf litter. In: Dickinson CH, Pugh GJF (eds) Biology of plant litter decomposition, vol 1. Academic, London, pp 105-129.
305. Mitchell SJ (2013) Wind as a natural disturbance agent in forests: a synthesis. Forestry 86(2):147-157. doi:10.1093/forestry/cps058.
306. Moreira F, Rego F, Ferreira P (2001) Temporal (1958-1995) pattern of change in a cultural landscape of northwestern Portugal: implications for fire occurrence. Landsc Ecol 16(6):557-567. doi:10.1023/a:1013130528470.
307. Muller RN (2003) Landscape patterns of change in coarse woody debris accumulation in an oldgrowth deciduous forest on the Cumberland Plateau, southeastern Kentucky. Can J For Res 33:763-769.
308. Noble IR, Slatyer RO (1980) The use of vital attributes to predict successional changes in plant communities subject to recurrent disturbances. Vegetatio 43:5-21.
309. Olson J (1963) Energy storage and the balance of the producers and decomposers in ecological systems. Ecology 44:322-331.
310. Page W, Jenkins MJ (2007) Mountain pine beetle-induced changes to selected lodgepole pine fuel complexes within the Intermountain Region. For Sci 53(4):507-520.
311. Parker TJ, Clancy KM, Mathiasen RL (2006) Interactions among fire, insects, and pathogens in coniferous forests of the interior western United States and Canada. Agric For Entomol 8:167-189.
312. Parsons RA, Mell WE, McCauley P (2010) Linking 3D spatial models of fuels and fire: effects of spatial heterogeneity on fire behavior. Ecol Model 222(3):679-691.
313. Pearson JA (1987) Biomass and nutrient accumulation during stand development in Wyoming lodgepole pine forests. Ecology 68:1966-1977.
314. Peters DPC, Mariotto I, Havstad KM, Murray LW (2006) Spatial variation in remnant grasses after a grassland-to-shrubland state change: implications for restoration. Rangeland Ecol Manag 59:343-350.
315. Pickett STA, White PS (1985) The ecology of natural disturbance and patch dynamics. Academic San Diego.
316. Prescott CE, Zabek LM, Staley CL, Kabzems R (2000) Decomposition of broadleaf and needle litter in forests of British Columbia: influences of litter type, forest type, and litter mixtures. Can J For Res 30:1742-1750.
317. Prescott CE, Hope GD, Blevins LL (2003) Effect of gap size on litter decomposition and soil nitrate concentrations in a high-elevation spruce-fir forest. Can J For Res 33:2210-2220.
318. Reich RM, Lundquist JE, Bravo VA (2004) Spatial models for estimating fuel loads in the Black Hills, South Dakota, USA. Int J Wildland Fire 13:119-129.
319. Reinhardt E, Scott J, Gray K, Keane R (2006) Estimating canopy fuel characteristics in five conifer stands in the western United States using tree and stand measurements. Can J For Res 36(11):2803-2814. doi:10.1139/X06-157.
320. Reinhardt ED, Keane RE, Calkin DE, Cohen JD (2008) Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States. For Ecol Manag 256(12):1997-2006. doi:10.1016/j.foreco.2008.09.016.
321. Schoennagel TL, Veblen TT, Romme WH (2004) The interaction of fire, fuels, and climate across rocky mountain landscapes. Bioscience 54(7):651-672.
322. Schoennagel T, Veblen TT, Negron JF, Smith JM (2012) Effects of mountain pine beetle on fuels and expected fire behavior in lodgepole pine forests, Colorado, USA. PLoS ONE 7(1):e30002.
323. Six DL, Adams J (2007) White pine blister rust severity and selection of individual whitebark pine by the mountain pine beetle (Coleoptera: Curculionidae, Scolytinae). J Entomol Sci 42(3):345-353.
324. Sollins P (1982) Input and decay of coarse woody debris in coniferous stands in western Oregon and Washington. Can J For Res 12:18-28.
325. Sollins P, Cline SP, Verhoeven T, Sachs D, Spycher G (1987) Patterns of log decay in old growth Douglasfir forests. Can J For Res 17:1585-1595.
326. Spies TA, Franklin JF, Thomas TB (1988) Coarse woody debris in Douglas-fir forests of western Oregon and Washington. Ecology 69:1689-1702.
327. Stohlgren TJ (1988) Litter dynamics in two Sierran mixed conifer forests. II. Nutrient release from decomposing litter. Can J For Res 18:1136-1144.
328. Stump LM, Binkley D (1993) Relationships between litter quality and nitrogen availability in Rocky Mountain forests. Can J For Res 23:492-502.
329. Sturtevant B, Zollner P, Gustafson E, Cleland D (2004) Human influence on the abundance and connectivity of high-risk fuels in mixed forests of northern Wisconsin, USA. Landsc Ecol 19(3):235-253. doi:10.1023/B:LAND.0000030420.87498.f7.
330. Swift MJ, Heal OW, Anderson JM (1979) Decomposition in terrestrial ecosystems, vol 5. University of California Press, Berkeley. ISBN:0520040015.
331. Taylor BR, Prescott CE, Parsons WFJ, Parkinson D (1991) Substrate control of litter decomposition in four Rocky Mountain conifer forests. Can J Bot 69:2242-2250.
332. Thaxton JM, Platt WJ (2006) Small-scale fuel variation alters fire intensity and shrub abundance in a pine savanna. Ecology 87(5):1331-1337. doi: 10.1890/0012-9658(2006)87[1331: SFVAFI]2.0.CO;2.
333. Theobald D (2013) A general model to quantify ecological integrity for landscape assessments and US application. Landsc Ecol 28(10):1859-1874. doi:10.1007/s10980-013-9941-6.
334. Townsend DE, Fuhlendorf SD (2010) Evaluating relationships between spatial heterogeneity and the biotic and abiotic environments. Am Midl Nat 163(2):351-365. doi:10.1674/0003-0031- 163.2.351.
335. Trofymow JA (1991) Annual rates and elemental concentrations of litter fall in thinned and fertilized Douglas-fir. Can J For Res 21:1601-1615.
336. Turner M, Bratton SP (1987) Fire, grazing, and the landscape heterogeneity of a Georgia barrier island. In: Turner MG (ed) Landscape heterogeneity and disturbance. Ecological studies, vol 64. Springer, New York, pp 85-101. doi:10.1007/978-1-4612-4742-5_5.
337. Turner MG, Dale VH, Everham III EH (1997) Fires, hurricanes, and volcanoes: comparing large disturbances (Large disturbances are heterogeneous spatially and not as catastrophic as they may initially appear). Bio Science 47(11):758-768.
338. Ulanova NG (2000) The effects of windthrow on forests at different spatial scales: a review. For Ecol Manag 135(1-3):155-167. doi:http://dx.doi.org/10.1016/S0378-1127(00)00307-8.
339. Vihnanek RE, Balog CS, Wright CS, Ottmar RD, Kelly JW (2009) Stereo photo series for quantifying natural fuels. Post-hurricane fuels in forests of the Southeast United States, vol 12. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, General technical report PNW-GTR-803 Portland, OR USA, 53 pp.
340. Vogt KA, Grier CC, Vogt DJ (1986) Production, turnover, and nutrient dynamics of above-and belowground detritus of world forests. Adv Ecol Res 15:303-377.
341. Waring RH, Schlesinger WH (1985) Forest ecosystems concepts and management. Academic, San Diego.
342. Waring RH, Running SW (1998) Forest ecosystems: analysis at multiple scales, 2nd edn. Academic, San Diego.
343. White DE, Atzet T, Martinez PA (2004) Relationship of historic fire regimes to dead wood components in white fir forests of southwestern Oregon. In: Fire in temperate, boreal and montane ecosystems: Proceedings of the 22nd Tall Timbers Fire Ecology Conference. Tall Timbers Research Station, Tallahassee, FL USA, pp 117-124.
344. Wright KH, Lauterback PG (1958) A 10-year study of mortality in a Douglas-fir sawtimber stand in Coos and Douglas Counties, Oregon. Research Paper PNW-27 USDA Forest Service Pacific Northwest Forest and Range Experiment Station, Portland, OR USA.
345. Yavitt JB, Fahey TJ (1982) Loss of mass and nutrient changes of decaying woody roots in lodgepole pine forests, southeastern Wyoming. Can J For Res 12:745-752.
346. Zimmermann TG, Neuenschwander LF (1984) Livestock grazing influences on community structure, fire intensity, ad fire frequency within the Douglas-fir/Ninebark habitat type. J Range Manag 37(2):104-110.
347. Alexander ME (2013) Part 4: The science and art of wildland fire behaviour prediction. In: Scott AC, Bowman DMJS, Bond WJ, Pyne SJ, Alexander ME (eds) Fire on Earth: An Introduction. Wiley-Blackwell, Chichester.
348. Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. USDA Forest Service Intermountain Research Station, General Technical Report INT-122, Ogden, pp 22.
349. Andrews PL (2008) Behave Plus fire modeling system, version 4.0: Variables. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-213WWW, Fort Collins, pp 107.
350. Bachmann A, Allgower B (2002) Uncertainty propagation in wildland fire behaviour modelling. International J Geogr Inf Sci 16(2):115-127. doi:10.1080/13658810110099080.
351. Bailey AD, Mickler R (2007) Fine scale vegetation classification and fuel load mapping for prescribed burning. In: Butler BW, Cook W (eds) The fire environment-innovations, management, and policy, Destin, FL. USDA Forest Service Rocky Mountain Research Station, pp 261-270.
352. Berg E (2007) Characterizing and classifying complex fuels-A new approach. Can J For Res 37(12):2381-2382.
353. Brown JK, Bevins CD (1986) Surface fuel loadings and predicted fire behavior for vegetation types in the northern Rocky Mountains. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-358, Ogden, pp 9.
354. Burgan RE (1987) Concepts and interpreted examples in advanced fuel modeling. USDA Forest Service, Intermountain Research Station General Technical Report INT-238, Ogden, pp 40.
355. Burgan RE, Rothermal RC (1984) BEHAVE: fire behavior prediction and fuel modeling system-FUEL subsystem. USDA Forest Service, Intermountain Research Station General Technical Report INT-167, Ogden, pp 126.
356. Burgan RE, Hardy CC (1994) Ground truthing a national AVHRR based vegetation fuels map. In: Proceedings of the 12th Conference on Fire and Forest Meteorology, Society of American Foresters, Bethesda, Maryland, pp 428-436.
357. Cheyette D, Rupp TS, Rodman S (2008) Developing Fire Behavior Fuel Models for the Wildland Urban Interface in Anchorage, Alaska. Western J Appl For 23:149-155.
358. Conard SG, Hartzell T, Hilbruner MW, Zimmerman GT (2001) Changing fuel management strategies - The challenge of meeting new information and analysis needs. Intl J Wildland Fire 10(4):267-275. doi:http://dx.doi.org/10.1071/WF01027.
359. Davis B, Van Wagtendonk JW, Beck J, van wagtendonk K (2009) Modeling fuel succession. Fire Manag Today 69(2):18-21.
360. Deeming JE, Burgan RE, Cohen JD (1977) The National Fire Danger Rating System-1978. USDA Forest Service Intermountain Forest and Range Experiment Station, General Technical Report INT-39, Ogden, pp 63.
361. Dimitrakopoulos AP (2001) A statistical classification of Mediterranean species based on their flammability components. Intl J Wildland Fire 10(2):113-118. doi:10.1071/WF01004.
362. Dimitrakopoulos AP (2002) Mediterranean fuel models and potential fire behaviour in Greece. Intl J Wildland Fire 11(2):127-130. doi:http://dx.doi.org/10.1071/WF02018.
363. Eyre FHE (1980) Forest cover types of the United States and Canada. Soc Am For, Washington, DC, pp 88.
364. Fahnestock GB (1970) Two keys for appraising forest fire fuels. USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, Research Bulletin PNW-RB-099, Portland, pp 31.
365. Fernandes P (2009) Combining forest structure data and fuel modelling to classify fire hazard in Portugal. Ann For Sci 66(4):415-415. doi:10.1051/forest/2009013.
366. Finney MA (1998) FARSITE: Fire Area Simulator - model development and evaluation. United States Department of Agriculture, Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-4. Fort Collins, pp 47.
367. Forestry Canada Fire Danager Group FCFDG (1992) Development and structure of the Canadian forest Fire Behavior Prediction System. Forestry Canada, Science Sustainable Development, Information Report ST-X-3, Ottawa, pp 62.
368. Gauch HG, Jr, Whittaker RH (1981) Hierarchical classification of community data. J Ecol 69(2):537-557.
369. Hawkes B, Niemann O, Goodenough D, Lawson B, Thomson A, Sahle W, Fuglem P, Beck J, Bell B, Symingto P (1995) Forest fire fuel type mapping using GIS and remote sensing in British Columbia. In: Heit M, Parker HD, Shortreid A (eds) Proceedings of the symposium GIS Applications in Natural Resources 2 - The 9th sympo/sium on Geographic Information Systems, Vancouver, pp 290-299.
370. Hessburg PF, Reynolds KM, Keane RE, James KM, Salter RB (2007) Evaluating wildland fire danger and prioritizing vegetation and fuels treatments. For Ecol Manag 247:1-17.
371. Hornby LG (1935) Fuel type mapping in Region One. J For 33(1):67-72.
372. Hornby LG (1936) Fuel type mapping, its relation to forest fire control planning. Northwest Sci 2:3-7.
373. Keane RE (2013) Describing wildland surface fuel loading for fire management: a review of approaches, methods and systems. Intl J Wildland Fire 22(1):51-62. doi:http://dx.doi. org/10.1071/WF11139.
374. Keane RE, Burgan RE, Wagtendonk JV (2001) Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling. Intl J Wildland Fire 10:301-319.
375. Keane RE, Frescino TL, Reeves MC, Long J (2006) Mapping wildland fuels across large regions for the LANDFIRE prototype project. In: Rollins MG, Frame C (eds) The landfire prototype project: nationally consistent and locally relevant geospatial data for wildland fire management. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-175, Ogden, pp 367-396.
376. Keane RE, Reeves MC (2011) Use of expert knowledge to develop fuel maps for wildland fire management. In: Perera A, Drew A (eds) Expert knowledge and its application in landscape ecology. Island Press, New York, pp 211-228.
377. Keane R, Gray K, Bacciu V, Leirfallom S (2012a) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landscape Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
378. Keane RE, Gray K, Bacciu V (2012b) Spatial variability of wildland fuel characteristics in northern Rocky Mountain ecosystems. USDA Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-98, Fort Collins, pp 58.
379. Keane RE, Gray K (2013) Comparing three sampling techniques for estimating fine woody down dead biomass. Intl J Wildland Fire 22(8):1093-1107. doi:http://dx.doi.org/10.1071/WF13038.
380. Keane RE, Herynk JM, Toney C, Urbanski SP, Lutes DC, Ottmar RD (2013) Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements. For Ecol Manag 305:248-263. doi:http://dx.doi.org/10.1016/j. foreco.2013.06.001.
381. Keyes CR (2002) Quantifying stand targets for silvicultural prevention of crown fires. Western J Appl For 17(2):101-109.
382. Krivtsov V, Vigy O, Legg C, Curt T, Rigolot E, Lecomte I, Jappiot M, Lampin-Maillet C, Fernandes P, Pezzatti GB (2009) Fuel modelling in terrestrial ecosystems: an overview in the context of the development of an object-orientated database for wild fire analysis. Ecol Model 220(21):2915-2926.
383. Lutes DC, Keane RE, Caratti JF (2009) A surface fuels classification for estimating fire effects. Int J Wildland Fire 18:802-814.
384. McKenzie D, Raymond CL, Kellogg L-KB, Norheim RA, Andreu A, Bayard AC, Kopper KE, Elman E (2007) Mapping fuels at multiple scales: landscape application of the Fuel Characteristic Classification System. Can J For Res 37:2421-2437.
385. Muraro SJ (1965) Fuel classification - a review of the literature and discussion of principles. Paper presented at the Second federal fire research conference, Victoria, British Columbia, Canada, March 22-26.
386. Orloci L (1967) An agglomerative method for classification of plant communities. J Ecol 55(1):193-206.
387. Ottmar RD, Sandberg DV, Riccardi CL, Prichard SJ (2007) An overview of the Fuel Characteristic Classification System - Quantifying, classifying, and creating fuelbeds for resource planning. Can J For Res 37:2383-2393.
388. Parsons RA, Mell WE, McCauley P (2010) Linking 3D spatial models of fuels and fire: Effects of spatial heterogeneity on fire behavior. Ecol Model 222(3):679-691.
389. Poulos HM, Camp AE, Gatewood RG, Loomis L (2007) A hierarchical approach for scaling forest inventory and fuels data from local to landscape scales in the Davis Mountains, Texas, USA. For Ecol Manag 244(1-3):1-15.
390. Reeves MC, Kost JR, Ryan KC (2006) Fuels products of the LANDFIRE project. In: Andrews PL, Butler BW (eds) Fuels management - how to measure success, Portland OR. USDA Forest Service Rocky Mountain Research Station, Proceedings RMRS-P-41, Fort Collins, pp 239-249.
391. Reich RM, Lundquist JE, Bravo VA (2004) Spatial models for estimating fuel loads in the Black Hills, South Dakota, USA. Intl J Wildland Fire 13:119-129.
392. Reinhardt E, R.E. Keane, Brown JK (1997) First Order Fire Effects Model: FOFEM 4.0 User’s Guide. USDA Forest Service, Intermountain Research Station General Technical Report INT-GTR-344, Ogden, pp 65.
393. Reinhardt ED, Keane RE, Brown JK (2001) Modeling fire effects. Intl J Wildland Fire 10:373-380.
394. Riccardi CL, Ottmar RD, Sandberg DV, Andreu A, Elman E, Kopper K, Long J (2007a) The fuelbed: a key element of the fuel characteristic classification system. Can J For Res 37:2394-2412.
395. Riccardi CL, Prichard SJ, Sandberg DV, Ottmar RD (2007b) Quantifying physical characteristics of wildland fuels using the fuel characteristic classification System. Can J For Res 37:2413-2420.
396. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. United States Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, Utah Research Paper INT-115, pp 88.
397. Sandberg DV, Ottmar RD, Cushon GH (2001) Characterizing fuels in the 21st century. Intl J Wildland Fire 10:381-387.
398. Sandberg DV, Riccardi CL, Schaaf MD (2007) Reformulation of Rothermel’s wildland fire behaviour model for heterogeneous fuelbeds. Can J For Res 37(12):2438-2455.
399. Santoni P-A, Filippi J-B, Balbi J-H, Bosseur F (2011) Wildland fire behaviour case studies and fuel models for landscape-scale fire modeling. J Combust 2011:1-12. doi:10.1155/2011/613424.
400. Scott J, Burgan RE (2005) A new set of standard fire behavior fuel models for use with Rothermel’s surface fire spread model. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-153, Fort Collins, pp 66.
401. Shiflet TNE (1994) Rangeland cover types of the United States. Society of range management, Denver, pp 123.
402. Sikkink P, Keane RE, Lutes DC (2009) Field guide for identifying fuel loading models. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-225, Fort Collins, pp 44.
403. Weise DR, Wright CS (2014) Wildland fire emissions, carbon and climate: Characterizing wildland fuels. For Ecol Manag 317(0):26-40 doi: http://dx.doi.org/10.1016/j.foreco.2013.02.037.
404. Affleck DLR (2008) A line intersect distance sampling strategy for downed wood inventory. Can J For Res 38(8):2262-2273. doi:10.1139/x08-056.
405. Alexander ME, Cruz MG (2014) Tables for estimating canopy fuel characteristics from stand variables in four Interior West conifer forest types. For Sci 60(4):784-794.
406. Arcos A, Alvarado E, Sandberg DV (1998) Volume estimation of large woody debris with a stereoscopic vision technique. In: Proceedings of the 13th Conference on Fire and Forest Meteorology, Lorne, Australia. International Association of Wildland Fire, pp 439-447.
407. Axelson JN, Alfaro RI, Hawkes BC (2009) Influence of fire and mountain pine beetle on the dynamics of lodgepole pine stands in British Columbia, Canada. For Ecol Manage 257(9):1874-1882. doi:http://dx.doi.org/10.1016/j.foreco.2009.01.047.
408. Baker WL (2009) Fire ecology in rocky mountain landscapes. Island Press, Washington, p 182.
409. Bate LJ, Torgersen TR, Wisdom MJ, Garton EO (2004) Performance of sampling methods to estimate log characteristics for wildlife. For Ecol Manage 199:83-102.
410. Bebber DP, Thomas SC (2003) Prism sweeps for coarse woody debris. Can J For Res 33: 1737-1743.
411. Brown JK (1970) A method for inventorying downed woody fuel. USDA Forest Service, Intermountain Research Station, General Technical Report INT-16. Ogden, UT, 16 pp.
412. Brown JK (1971) A planar intersect method for sampling fuel volume and surface area. For Sci 17(1):96-102.
413. Brown JK (1974) Handbook for inventorying downed woody material. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report GTR-INT-16 Ogden, UT, USA, 34 pp.
414. Brown JK (1978) Weight and density of crowns of Rocky Mountain conifers. United States Department of Agriculture, Forest Service Intermountain Forest and Range Experiment Station, Research Paper INT-197 Ogden, UT, USA, 56 pp.
415. Brown JK (1981) Bulk densities of nonuniform surface fuels and their application to fire modeling. For Sci 27:667-683.
416. Brown JK, Bevins CD (1986) Surface fuel loadings and predicted fire behavior for vegetation types in the northern Rocky Mountains. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-358 Ogden, UT, USA, 9 pp.
417. Brown JK, Oberheu RD, Johnston CM (1982) Handbook for inventoring surface fuels and biomass in the Interior West. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-129 Ogden, UT, USA, 48 pp.
418. Busing R, Rimar K, Stolte KW, Stohlgren TJ, Waddell K (2000) Forest health monitoring. Vegetation pilot field methods guide. Vegetation diversity and structure down woody debris fuel loading. USDA Forest Service, National Forest Health Monitoring Program, Washington, D.C., USA, 54 pp.
419. Catchpole WR, Wheeler CJ (1992) Estimating plant biomass: a review of techniques. Aus J Ecol 17(2):121-131. doi:10.1111/j.1442-9993.1992.tb00790.x.
420. Delisle GP, Woodard PM, Titus SJ, Johnson AF (1988) Sample size and variability of fuel weight estimates in natural stands of lodgepole pine. Can J For Res 18:649-652.
421. Dibble AC, Rees CA (2005) Does the lack of reference ecosystems limit our science? A case study in nonnnative invasive plants as forest fuels. J For 103(7):329-338.
422. Ducey MJ, Williams MS, Gove JH, Valentine HT (2008) Simultaneous unbiased estimates of multiple downed wood attributes in perpendicular distance sampling. Can J For Res 38(7):2044-2051. doi:10.1139/x08-019.
423. Ducey MJ, Williams MS, Gove JH, Roberge S, Kenning RS (2013) Distance-limited perpendicular distance sampling for coarse woody debris: theory and field results. Forestry 86(1):119-128. doi:10.1093/forestry/cps059.
424. Fahnestock GR (1971) Weight of brushy forest fire fuels from photographs. For Sci 17(1):119-124.
425. Fischer WC (1981) Photo guide for appraising downed woody fuels in Montana forests: Interior ponderosa pine, ponderosa pine-larch-Douglas-fir, larch-Douglas-fir, and Interior Douglas-fir cover types. USDA Forest Service, Intermountain Research Station, General Technical Report INT-197 Ogden, UT, USA, 133 pp.
426. Fosberg MA, Lancaster JW, Schroeder MJ (1970) Fuel moisture response-drying relationships under standard and field conditions. For Sci 16:121-128.
427. Gould JS, McCaw W, Cheney N, Ellis P, Matthews S (2008) field guide: fire in dry eucalypt forest: fuel assessment and fire behaviour prediction in dry eucalypt forest. CSIRO PUBLISHING, Canberra, ACT, Australia, 33 pp. ISBN: 0643102760.
428. Gould JS, Lachlan McCaw W, Phillip Cheney N (2011) Quantifying fine fuel dynamics and structure in dry eucalypt forest (Eucalyptus marginata) in Western Australia for fire management. For Ecol Manage 262(3):531-546. doi:http://dx.doi.org/10.1016/j.foreco.2011.04.022.
429. Gove JH, Williams MS, Stahl G, Ducey MJ (2005) Critical point relascope sampling for unbiased volume estimation of downed coarse woody debris. Forestry 78(4):417-431.
430. Gove JH, Ducey MJ, Valentine HT, Williams MS (2012) A distance limited method for sampling downed coarse woody debris. For Ecol Manage 282(0):53-62. doi:http://dx.doi.org/10.1016/j. foreco.2012.06.014.
431. Gove JH, Ducey MJ, Valentine HT, Williams MS (2013) A comprehensive comparison of perpendicular distance sampling methods for sampling downed coarse woody debris. Forestry 86(1):129-143. doi:10.1093/forestry/cps039.
432. Hansen MH (1985) Line intersect sampling of wooded strips. For Sci 31(2):282-288.
433. Harmon ME, Franklin JF, Swanson FJ, Sollins P, Gregory SV, Lattin JD, Anderson NH, Cline SP, Aumen NG, Sedell JR, Lienkaemper GW, Cromack K, Cummins KW (1986) Ecology of coarse woody debris in temperate ecosystems. Adv Ecol Res 15:133-302.
434. Hood S, Wu R (2006) Estimating fuel bed loadings in masticated areas. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, Oregon, USA. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Proceedings RMRSP- 41, pp 333-345.
435. Jin S (2004) Computer classification of four major components of surface fuel in Northeast China by image: the first step towards describing spatial heterogeneity of surface fuels by images. For Ecol Manage 203:395-406.
436. Jordan GJ, Ducey MJ, Gove JH (2004) Comparing line-intersect, fixed-area, and point relascope sampling for dead and downed coarse woody material in a managed northern hardwood forest. Can J For Res 34:1766-1775.
437. Keane RE, Reinhardt ED, Scott J, Gray K, Reardon J (2005) Estimating forest canopy bulk density using six indirect methods. Can J For Res 35:724-739.
438. Keane RE, Frescino TL, Reeves MC, Long J (2006) Mapping wildland fuels across large regions for the LANDFIRE prototype project. In: Rollins MG, Frame C (eds) The LANDFIRE prototype project: nationally consistent and locally relevant geospatial data for wildland fire management, 2006. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-175 Fort Collins, CO, USA, pp 367-396.
439. Keane RE, Dickinson LJ (2007a) Development and evaluation of the photoload sampling technique. USDA Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP- 61CD Fort Collins, CO USA, 44 pp.
440. Keane RE, Dickinson LJ (2007b) The photoload sampling technique: estimating surface fuel loadings using downward looking photographs. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-190 Fort Collins, CO, USA. 44 pp.
441. Keane RE, Gray K, Bacciu V, Leirfallom S (2012a) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landsc Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
442. Keane RE, Gray K, Bacciu V (2012b) Spatial variability of wildland fuel characteristics in northern Rocky Mountain ecosystems. USDA Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-98 Fort Collins, Colorado, USA, 58 pp.
443. Keane RE, Gray K (2013) Comparing three sampling techniques for estimating fine woody down dead biomass. Intl J Wildland Fire 22(8):1093-1107. doi:http://dx.doi.org/10.1071/WF13038.
444. Keane RE, Herynk JM, Toney C, Urbanski SP, Lutes DC, Ottmar RD (2013) Evaluating the performance and mapping of three fuel classification systems using forest inventory and analysis surface fuel measurements. For Ecol Manage 305:248-263. doi:http://dx.doi.org/10.1016/j. foreco.2013.06.001.
445. Koski WH, Fischer WC (1979) Photo series for appraising thinning slash in north Idaho. USDA Forest Service Intermountain Forest and Range Experiment Station, General Technical Report INT-46 Ogden, UT, USA, 22 pp.
446. Krebs CJ (1999) Ecological methodology, 2nd edn. Benjamin Cummings, New York.
447. Loudermilk EL, Hiers JK, O’Brien JJ, Mitchell RJ, Singhania A, Fernandez JC, Cropper WP, Slatton KC (2009) Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics. Int J Wildland Fire 18(6):676-685. doi:http://dx.doi.org/10.1071/WF07138.
448. Lutes DC (1999) A comparison of methods for the quantification of coarse woody debris and identification of its spatial scale: a study from the Tenderfoot Experimental Forest, Montana. Master of Science Thesis, The University of Montana, Missoula, MT, USA, 55 pp.
449. Lutes DC, Keane RE, Caratti JF, Key CH, Benson NC, Sutherland S, Gangi LJ (2006) FIREMON: fire effects monitoring and inventory system. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-164-CD Fort Collins 222 pp.
450. Lutes DC, Benson NC, Keifer M, Caratti JF, Streetman SA (2009a) FFI: a software tool for ecological monitoring. Int J Wildland Fire 18(3):310-314. doi:http://dx.doi.org/10.1071/WF08083.
451. Lutes DC, Keane RE, Caratti JF (2009b) A surface fuels classification for estimating fire effects. Int J Wildland Fire 18:802-814.
452. Maser C, Anderson RG, Cromack K, Williams JT, Martin RE (1979) Dead and down woody material. In: Wildlife habitats in managed forests: the Blue Mountains of Oregon and Washington. Agric Handb 553. US Department of Agriculture, Washington, DC, USA, pp 78-95.
453. Maxwell WG (1976) Photo series for quantifying forest residues in the coastal Douglas-fir-hemlock type, coastal Douglas-fir-hardwood type. US Forest Service Pacific Northwest Forest and Range Experiment Station, General Technical Report PNW-51 Portland, OR, USA, 55 pp.
454. McKenzie D, Raymond CL, Kellogg L-KB, Norheim RA, Andreu A, Bayard AC, Kopper KE, Elman E (2007) Mapping fuels at multiple scales: landscape application of the fuel characteristic classification system. Can J For Res 37:2421-2437.
455. Morfin-Ríos JE, Alvarado-Deliestino E, Jardel-Peláez EJ, Vihnanek RE, Wright DK, Michel-Fuentes JM, Wright CS, Ottmar RD, Sandberg DV, Nájera-Díaz A (2007) Photo series for quantifying forest fuels in Mexico: montane subtropical forests of the Sierra Madre del Sur; and temperate forests and montane shrubland of the northern Sierra Madre Oriental.
456. Mueller-Dombois D, Ellenberg H (1974) Aims and methods of vegetation ecology. Wiley, New York, 234 pp.
457. Nalder IA, Wein RW, Alexander ME, de Groot WJ (1999) Physical properties of dead and downed round-wood fuels in the boreal forests of western and northern Canada. Int J Wildland Fire 9(2):85-99.
458. Nemec-Linnell AF, Davis G (2002) Efficiency of six line intersect sampling designs for estimating volume and density of coarse woody debris. BCMOF Vancouver Forest Region, Research Section, Technical Report No. 15 Nanaimo, BC, Canada 12 pp.
459. Ottmar RD, Vihnanek RE (2000) Stereo photo series for quantifying natural fuels. Longleaf pine, pocosin, and marshgrass types in the southeast United States, vol VI, National Wildfire Coordinating Group National Interagency Fire Center, Boise.
460. Ottmar RD, Sandberg DV, Riccardi CL, Prichard SJ (2007) An overview of the fuel characteristic classification system - quantifying, classifying, and creating fuelbeds for resource planning. Can J For Res 37:2383-2393.
461. Poulos HM, Camp AE, Gatewood RG, Loomis L (2007) A hierarchical approach for scaling forest inventory and fuels data from local to landscape scales in the Davis Mountains, Texas, USA. For Ecol Manage 244(1-3):1-15.
462. Reeves MC, Kost JR, Ryan KC (2006) Fuels products of the LANDFIRE project. In: Andrews PL, Butler BW (eds) Fuels management - how to measure success, Portland OR, 2006. USDA Forest Service Rocky Mountain Research Station, Proceedings RMRS-P-41 Fort Collins, CO USA pp 239-249.
463. Reeves MC, Ryan KC, Rollins MC, Thompson TG (2009) Spatial fuel data products of the LANDFIRE project. Int J Wildland Fire 18:250-267.
464. Reinhardt E, Keane RE, Brown JK (1997) First order fire effects model: FOFEM 4.0 User’s Guide. USDA Forest Service, Intermountain Research Station General Technical Report INTGTR- 344. 65 pp.
465. Reinhardt E, Lutes D, Scott J (2006a) Fuel Calc: a method for estimating fuel characteristics. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, OR, pp 273-287. I U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41 Fort Collins, CO.
466. Reinhardt E, Scott J, Gray K, Keane R (2006b) Estimating canopy fuel characteristics in five conifer stands in the western United States using tree and stand measurements. Can J For Res- Revue Canadienne De Recherche Forestiere 36(11):2803-2814. doi:Doi 10.1139/X06-157.
467. Riccardi CL, Ottmar RD, Sandberg DV, Andreu A, Elman E, Kopper K, Long J (2007) The fuelbed: a key element of the Fuel Characteristic Classification System. Can J For Res 37:2394-2412.
468. Sampson RN, Sampson RW (2005) Application of hazard and risk analysis at the project level to assess ecologic impact. For Ecol Manage 211:109-116.
469. Sandberg DV, Ottmar RD, Cushon GH (2001) Characterizing fuels in the 21st century. Int J Wildland Fire 10:381-387.
470. Scott JH, Reinhardt ED (2005) Stereo photo guide for estimating canopy fuel characteristics in conifer stands. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-145 Fort Collins, CO, USA, 47 pp.
471. Sikkink PG, Keane RE (2008) A comparison of five sampling techniques to estimate surface fuel loading in montane forests. Int J Wildland Fire 17(3):363-379. doi:10.1071/Wf07003.
472. Sneeuwjagt RJ (1973) Measuring forest fuels. Forests Department of Western Australia, Research Paper Number 9, Perth, Australia, 6 pp.
473. Stahl G (1998) Transect relascope sampling - a method for the quantification of coarse woody debris. For Sci 44:58-63.
474. Ståhl G, Gove J, Williams M, Ducey M (2010) Critical length sampling: a method to estimate the volume of downed coarse woody debris. Eur J For Res 129(6):993-1000. doi:10.1007/s10342-010-0382-3.
475. Van Wagner CE (1968) The line intersect method in forest fuel sampling. For Sci 14(1):20-26.
476. Vihnanek RE, Balog CS, Wright CS, Ottmar RD, Kelly JW (2009) Stereo photo series for quantifying natural fuels. Post-hurricane fuels in forests of the Southeast United States, vol XII, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Gen. Tech. Rep. PNW-GTR-803. Portland, OR, USA, 53 pp.
477. Vries PGD (1974) Multi-stage line intersect sampling. For Sci 20(2):129-134.
478. Waddell KL (2001) Sampling coarse woody debris for multiple attributes in extensive resource inventories. Ecol Indic 1:139-153.
479. Warren WG, Olsen PF (1964) A line intersect technique for assessing logging waste. For Sci 10(3):267-276.
480. Williams MS, Gove JH (2003) Perpendicular distance sampling: an alternative method for sampling downed coarse woody debris. Can J For Res 33:1564-1579.
481. Woldendorp G, Keenan RJ, Barry S, Spencer DR (2004) Analysis of sampling methods for coarse woody debris. For Ecol Manage 198:133-148.
482. Abell CA (1937) Rate of spread and resistance to control data for Region 7 fuel types and their application to determine strength and speed of attack needed. Preliminary Report. U.S. Department of Agriculture, Forest Service, Asheville, pp 7.
483. Agee JK, Skinner CN (2005) Basic principles of forest fuel reduction treatments. For Ecol Manage 211:83-96.
484. Andersen H-E, McGaughey RJ, Reutebuch SE (2005) Estimating forest canopy fuel parameters using LIDAR data. Remote Sens Environ 94(4):441-449.
485. Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. USDA Forest Service Intermountain Research Station, General Technical Report INT-122 Ogden, Utah, USA, pp 22.
486. Anderson M, Bourgeron P, Bryer MT, Crawford R, Engelking L, Faber-Langendoen D, Gallyoun M, Goodin K, Grossman DH, Landaal S, Metzler K, Patterson KD, Pyne M, Reid M, Sneddon L, Weakley AS (1998) International classification of ecological communities: terrestrial vegetation of the United States. The National Vegetation Classification System: list of types, vol. 2. The Nature Conservancy, Arlington, Virginia, pp 445.
487. Arroyo LA, Pascual C, Manzanera JA (2008) Fire models and methods to map fuel types: the role of remote sensing. For Ecol Manage 256:1239-1252.
488. Asner GP (1998) Biophysical and biochemical sources of variability in canopy reflectance. Remote Sens Environ 64(3):234-253.
489. Ball GL, Guertin DP (1992) Advances in fire spread simulation. In: Proceedings on the third forest service remote sensing applications conference-Protecting natural resources with remote sensing. Tucson, Arizona USA, April 9-13 1992. American Society of Photogrammery and Remote Sensing, 5410 Grosvenor lane, Bethesda, Maryland USA, pp 241-249.
490. Banks WG, Frayer HC (1966) Rate of forest fire spread and resistance to control in the fuel types of the eastern region. U.S. Department of Agriculture, Forest Service, Washington, DC. Fire Control Notes 27(2):10-13.
491. Barrett SW, Arno SF (1991) Classifying fire regimes and defining their topographic controls in the Selway-Bitterroot Wilderness. In: 11th Conference on Fire and Forest Meteorology, Missoula, MT, 1991, pp 233-245.
492. Belfort W (1988) Controlled-scale aerial sampling photography: development and implications for multiresource inventory. J For 86(11):21-28.
493. Bergen KM, Dobson MC (1999) Integration of remotely sensed radar imagery in modeling and mapping of forest biomass and net primary production. Ecol Model 122:257-274.
494. Brandis K, Jacobson C (2003) Estimation of vegetative fuel loads using Landsat TM imagery in New South Wales, Australia. Internat J Wildland Fire 12:185-194.
495. Brown AA, Davis K (1973) Forest fire control and use second edition. McGraw-Hill, New York.
496. Burgan RE, Hardy CC (1994) Ground truthing a national AVHRR based vegetation fuels map. Proceedings of the 12th conference on fire and forest meteorology. Society of American Foresters, Bethesda, Maryland, pp 428-436.
497. Burgan RE, Klaver RW, Klaver JM (1998) Fuel models and fire potential from satellite and surface observations. Int J Wildland Fire 8(3):159-170.
498. Campbell J, Weinstein D, Finney M (1995) Forest fire behavior modeling integrating GIS and BEHAVE. USDA Forest Service, Washington.
499. Chladil MA, Nunez M (1995) Assessing grassland moisture and biomass in Tasmania-The application of remote sensing and empirical models for a cloudy environment. Int J Wildland Fire 5(3):165-171.
500. Chuvieco E, Salas J (1996) Mapping of spatial distribution of forest fire danger using GIS. Int J Geogr Inf Syst 10(3):333-345.
501. De Vasconcelos MJP, Paul JCU, Silva S, Pereira JMC, Caetano MS, Catry FX, Oliveira TM (1998) Regional fuel mapping using a knowledge based system approach. 3rd International conference on forest fire research 14th Conference on fire and forest meteorology, November 1998, pp 2111-2123.
502. Dixon R, Shipley W, Briggs A (1985) Landsat-a tool for mapping fuel types in the boreal forest of Manitoba: a pilot study. In: Proceedings of the Pecora X symposium, 1985. American Society for Photogrammetry and Remote Sensing, Falls Church, Virginia, pp 392-393.
503. Elvidge CD (1988) Thermal infrared reflectance of dry plant materials: 2.5-20.0 micrometers. Remote Sens Environ 26:265-285.
504. Erdody TL, Moskal LM (2010) Fusion of LiDAR and imagery for estimating forest canopy fuels. Remote Sens Environ 114(4):725-737. http://dx.doi.org/10.1016/j.rse.2009.11.002.
505. Falkowski MJ, Gessler PE, Morgan P, Hudak AT, Smith AMS (2005) Characterizing and mapping forest fire fues using ASTER imagery and remote sensing. For Ecol Manage 217:129-146.
506. Finney MA (1998) FARSITE: fire area simulator-model development and evaluation. United States Department of Agriculture, Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-4. Fort Collins, CO USA, pp 47.
507. Finney MA (2005) The challenge of quantitative risk analysis for wildland fire. For Ecol Manage 211:97-108.
508. Finney MA (2006) An overview of Flam Map fire modeling capabilities. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, OR, 28-30 March 2006. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41 Fort Collins, CO USA, pp 213-220.
509. Friedl MA, Michaelsen J, Davis FW, Walker H, Schimel DS (1994) Estimating grassland biomass and leaf area index using ground and satellite data. Int J Remote Sens 15(7):1401-1420.
510. Gosz JR (1992) Gradient analysis of ecological change in time and space: implications for forest management. Ecol Appl 2(3):248-261.
511. Grossman DH, Faber-Langendoen D, Weakley AS, Anderson M, Bourgeron P, Crawford R, Goodin K, Landaal S, Metzler K, Patterson K, Pyne M, Reid M, Sneddon L (1998) International classification of ecological communities: terrestrial vegetation of the United States Volume I. The National Vegetation Classification System: development, status, and applications., vol I. The Nature Conservancy, Arlington VA., USA.
512. Habeck JR (1976) Forest, fuels and fire in the Selway-Bitterroot Wilderness, Idaho. 14th Tall timbers fire ecology conference 14:305-353.
513. Hawkes B, Niemann O, Goodenough D, Lawson B, Thomson A, Sahle W, Fuglem P, Beck J, Bell B, Symingto P (1995) Forest fire fuel type mapping using GIS and remote sensing in British Columbia. In: Heit M, Parker HD, Shortreid A (eds) Proceedings of the symposium GIS applications in natural resources 2 - the 9th symposium on geographic information systems, Vancouver, British Columbia, Canada, pp 290-299.
514. Hessburg PF, Reynolds K, Keane RE, James K, Salter RB (2010) Evaluating wildland fire danger and prioritizing vegetation and fuels treatments. In: Pye JM, Rauscher HM, Sands Y, Lee DC, Beatty JS (eds) Advances in threat assessment and their application to forest and rangeland management, Portland, OR, 2010. Gen. Tech. Rep. PNW-GTR-802. U.S. Department of Agriculture, Forest Service, Pacific Northwest and Southern Research Stations, pp 329-353.
515. Heyerdahl EK, Brubaker LB, Agee JK (2001) Spatial controls of historical fire regimes: a multiscale example from the Interior West, USA. Ecology 82(3):660-678.
516. Hornby LG (1935) Fuel type mapping in region one. J For 33(1):67-72.
517. Hornby LG (1936) Fuel type mapping, its relation to forest fire control plannig. Northwest Sci 4:3-7.
518. Huang S, Crabtree RL, Potter C, Gross P (2009) Estimating the quantity and quality of coarse woody debris in Yellowstone post-fire forest ecosystem from fusion of SAR and optical data. Remote Sens Environ 113(9):1926-1938. doi:10.1016/j.rse.2009.05.001.
519. Jain A, Ravan SA, Singh RK, Das KK, Roy PS (1996) Forest fire risk modelling using remote sensing and geographic information systems. Curr Sci India 70(10):928-933.
520. Jia GJ, Burke IC, Kaufmann MR, Goetz AFH, Kindel BC, Pu Y (2006) Estimates of forest canopy fuel attributes using hyperspectral data. For Ecol Manage 229:27-38.
521. Karau EC, Keane RE (2010) Burn severity mapping using simulation modelling and satellite imagery. Int J Wildland Fire 19(6):710-724.
522. Kasischke ES, French NFH, Bourgeau-Chavez LL, Ustin SL, Christensen NL (1998) Estimating the release of carbon from forest fires in Alaska using satellite remote sensing data. http://cstars.ucdavis.edu/papers/sustin/carbon/paper.html.
523. Keane RE (2013) Describing wildland surface fuel loading for fire management: a review of approaches, methods and systems. Int J Wildland Fire 22(1):51-62.
524. Keane RE, Reeves MC (2011) Use of expert knowledge to develop fuel maps for wildland fire management. In: Perera A, Drew A (eds) Expert knowledge and its application in landscape ecology. Island Press, New York, pp 211-228.
525. Keane RE, Kevin CR, Running SW (1996) Simulating effects of fire on northern Rocky Mountain landscapes with the ecological process model Fire-BGC. Tree Physiol 16:319-331.
526. Keane RE, McNicoll CH, Schmidt KM, Garner JL (1997) Spatially explicit ecological inventories for ecosystem management planning using gradient modeling and remote sensing. In: Proceedings of the sixth forest service remote sensing applications conference-remote sensing; people in partnership with technology. American Society of Photogrammetry and Remote Sensing. Bethesda, MD., USA, pp 135-146.
527. Keane RE, Garner JL, Schmidt KM, Long DG, Menakis JP, Finney MA (1998a) Development of input spatial data layers for the FARSITE fire growth model for the Selway-Bitterroot Wilderness complex, USA. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-3 Fort Collins, CO USA, pp 66.
528. Keane RE, Long DG, Schmidt KM, Mincemoyer SA, Garner JL (1998b) Mapping fuels for spatial fire simulations using remote sensing and biophysical modeling. Natural resource management using remote sensing and GIS: proceedings of the seventh forest service remote sensing applications conference, Nassau Bay, Texas, April 6-10, 1998. American Society for Photogrammetry and Remote Sensing c1998, Bethesda.
529. Keane RE, Mincemoyer SA, Schmidt KM, Menakis JP, Long DG, Garner JL (2000) Mapping vegetation and fuels for fire management on the Gila National Forest Complex. USDA Forest Service, Rocky Mountain Research Station General Technical Report RMRS-GTR-46-CD Fort Collins, CO USA, pp 67.
530. Keane RE, Burgan RE, Wagtendonk JV (2001) Mapping wildland fuels for fire management across multiple scales: integrating remote sensing, GIS, and biophysical modeling. Int J Wildland Fire 10:301-319.
531. Keane RE, Cecilia McNicoll, Rollins MG (2002) Integrating ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-92 Fort Collins, CO USA, pp 61.
532. Keane RE, Frescino TL, Reeves MC, Long J (2006) Mapping wildland fuels across large regions for the LANDFIRE prototype project. In: Rollins MG, Frame C (eds) The LANDFIRE prototype project: nationally consistent and locally relevant geospatial data for wildland fire management, 2006. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-175 Ogden, UT USA, pp 367-396.
533. Keane RE, Holsinger L, Pratt S (2006b) Simulating historical landscape dynamics using the landscape fire succession model LANDSUM version 4.0. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-171CD Fort Collins, CO USA, pp 73.
534. Heyerdahl EK, Brubaker LB, Agee JK (2001) Spatial controls of historical fire regimes: a multiscale example from the Interior West, USA. Ecology 82(3):660-678.
535. Hornby LG (1935) Fuel type mapping in region one. J For 33(1):67-72.
536. Hornby LG (1936) Fuel type mapping, its relation to forest fire control plannig. Northwest Sci 4:3-7.
537. Huang S, Crabtree RL, Potter C, Gross P (2009) Estimating the quantity and quality of coarse woody debris in Yellowstone post-fire forest ecosystem from fusion of SAR and optical data. Remote Sens Environ 113(9):1926-1938. doi:10.1016/j.rse.2009.05.001.
538. Jain A, Ravan SA, Singh RK, Das KK, Roy PS (1996) Forest fire risk modelling using remote sensing and geographic information systems. Curr Sci India 70(10):928-933.
539. Jia GJ, Burke IC, Kaufmann MR, Goetz AFH, Kindel BC, Pu Y (2006) Estimates of forest canopy fuel attributes using hyperspectral data. For Ecol Manage 229:27-38.
540. Karau EC, Keane RE (2010) Burn severity mapping using simulation modelling and satellite imagery. Int J Wildland Fire 19(6):710-724.
541. Kasischke ES, French NFH, Bourgeau-Chavez LL, Ustin SL, Christensen NL (1998) Estimating the release of carbon from forest fires in Alaska using satellite remote sensing data. http://cstars.ucdavis.edu/papers/sustin/carbon/paper.html.
542. Keane RE (2013) Describing wildland surface fuel loading for fire management: a review of approaches, methods and systems. Int J Wildland Fire 22(1):51-62.
543. Keane RE, Reeves MC (2011) Use of expert knowledge to develop fuel maps for wildland fire management. In: Perera A, Drew A (eds) Expert knowledge and its application in landscape ecology. Island Press, New York, pp 211-228.
544. Keane RE, Kevin CR, Running SW (1996) Simulating effects of fire on northern Rocky Mountain landscapes with the ecological process model Fire-BGC. Tree Physiol 16:319-331.
545. Keane RE, McNicoll CH, Schmidt KM, Garner JL (1997) Spatially explicit ecological inventories for ecosystem management planning using gradient modeling and remote sensing. In: Proceedings of the sixth forest service remote sensing applications conference-remote sensing; people in partnership with technology. American Society of Photogrammetry and Remote Sensing. Bethesda, MD., USA, pp 135-146.
546. Keane RE, Garner JL, Schmidt KM, Long DG, Menakis JP, Finney MA (1998a) Development of input spatial data layers for the FARSITE fire growth model for the Selway-Bitterroot Wilderness complex, USA. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-3 Fort Collins, CO USA, pp 66.
547. Keane RE, Long DG, Schmidt KM, Mincemoyer SA, Garner JL (1998b) Mapping fuels for spatial fire simulations using remote sensing and biophysical modeling. Natural resource management using remote sensing and GIS: proceedings of the seventh forest service remote sensing applications conference, Nassau Bay, Texas, April 6-10, 1998. American Society for Photogrammetry and Remote Sensing c1998, Bethesda.
548. Keane RE, Mincemoyer SA, Schmidt KM, Menakis JP, Long DG, Garner JL (2000) Mapping vegetation and fuels for fire management on the Gila National Forest Complex. USDA Forest Service, Rocky Mountain Research Station General Technical Report RMRS-GTR-46-CD Fort Collins, CO USA, pp 67.
549. Keane RE, Burgan RE, Wagtendonk JV (2001) Mapping wildland fuels for fire management across multiple scales: integrating remote sensing, GIS, and biophysical modeling. Int J Wildland Fire 10:301-319.
550. Keane RE, Cecilia McNicoll, Rollins MG (2002) Integrating ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-92 Fort Collins, CO USA, pp 61.
551. Keane RE, Frescino TL, Reeves MC, Long J (2006) Mapping wildland fuels across large regions for the LANDFIRE prototype project. In: Rollins MG, Frame C (eds) The LANDFIRE prototype project: nationally consistent and locally relevant geospatial data for wildland fire management, 2006. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-175 Ogden, UT USA, pp 367-396.
552. Keane RE, Holsinger L, Pratt S (2006b) Simulating historical landscape dynamics using the landscape fire succession model LANDSUM version 4.0. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-171CD Fort Collins, CO USA, pp 73 172 9 Fuel Mapping.
553. Keane RE, Rollins M, Zhu ZL (2007) Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: the LANDFIRE prototype project. Ecol Model 204(3-4):485-502. doi:10.1016/j.ecolmodel.2007.2.005.
554. Keane RE, Loehman RA, Holsinger LM (2011) The FireBGCv2 landscape fire and succession model: a research simulation platform for exploring fire and vegetation dynamics. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-255 Fort Collins, CO USA, pp 137.
555. Keane R, Gray K, Bacciu V, Leirfallom S (2012a) Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA. Landsc Ecol 27(8):1213-1234. doi:10.1007/s10980-012-9773-9.
556. Keane RE, Gray K, Bacciu V (2012b) Spatial variability of wildland fuel characteristics in northern Rocky Mountain ecosystems. USDA Forest Service Rocky Mountain Research Station, Research Paper RMRS-RP-98 Fort Collins, Colorado USA, pp 58.
557. Keane RE, Herynk JM, Toney C, Urbanski SP, Lutes DC, Ottmar RD (2013) Evaluating the performance and mapping of three fuel classification systems using forest inventory and analysis surface fuel measurements. For Ecol Manage 305:248-263. http://dx.doi.org/10.1016/j. foreco.2013.06.001.
558. Keramitsoglou I, Kontoes C, Sykioti O, Sifakis N, Xofis P (2008) Reliable, accurate, and timely forest mapping for wildfire management using ASTER and Hyperion satellite imagery. For Ecol Manage 255:3556-3562.
559. Kessell SR (1976) Gradient modeling: a new approach to fire modeling and wilderness resource management. Environ Manage 1(1):39-48.
560. Kourtz PH (1977) An application of Landsat digital technology to forest fire fuel mapping. In: Dube DE (ed) Fire ecology in resource mangement: a workshop. Northern Forest Research Centre, Information Report NOR-X-210 Edmonton, Alberta, pp 79-81.
561. Krasnow K (2007) Forest fuel mapping and strategic wildfire mitigation in the Montane zone of Boulder County, Colorado. Graduate Thesis, University of Colorado, Boulder, CO USA, pp 55.
562. Krivtsov V, Vigy O, Legg C, Curt T, Rigolot E, Lecomte I, Jappiot M, Lampin-Maillet C, Fernandes P, Pezzatti GB (2009) Fuel modelling in terrestrial ecosystems: an overview in the context of the development of an object-orientated database for wild fire analysis. Ecol Model 220(21):2915-2926.
563. Lanorte A, Lasaponara R, Murgante B, Gervasi O, Iglesias A, Taniar D, Apduhan B (2011) On the use of satellite remote sensing data to characterize and map fuel types. In: Computational science and its applications-ICCSA 2011, vol 6783. Lecture Notes in Computer Science. Springer Berlin/Heidelberg, pp 344-353. doi:10.1007/978-3-642-21887-3_27.
564. Lasaponara R, Lanorte A (2007a) On the capability of satellite VHR Quickbird data for fuel type characterization in fragmented landscapes. Ecol Model 204:79-84.
565. Lasaponara R, Lanorte A (2007b) Remotely sensed characterization of forest fuel types by using satellite ASTER data. Int J Appl Earth Obs Geoinf 9(3):225-234. http://dx.doi.org/10.1016/j. jag.2006.08.001.
566. Leenhouts B (1998) Assessment of biomass burning in the conterminous United States. Conserv Ecol 2(1):1-23.
567. Lenihan JM, Daly C, Bachelet D, Neilson RP (1998) Simulating broad scale fire severity in a dynamic global vegetation model. Northwest Sci 72:91-103.
568. Loveland TR, Merchant JM, Ohlen DO, Brown JF (1991) Development of a land-cover characteristics database for the conterminous U.S. Photogramm Eng Remote Sens 57(11):1453-1463.
569. Loveland TR, Ohlen DO, Brown JF, Reed BC, Merchant JW (1993) Prototype 1990 conterminous United States land cover characteristics data set EROS Data Center, US Geological Survey, CD-ROM 9307 Souix Falls, SD USA.
570. McKenzie D, Raymond CL, Kellogg L-KB, Norheim RA, Andreu A, Bayard AC, Kopper KE, Elman E (2007) Mapping fuels at multiple scales: landscape application of the fuel characteristic classification system. Can J For Res 37:2421-2437. doi:10.1139/x07-056.
571. Menakis JP, Keane RE., Long DG (2000) Mapping ecological attributes using an integrated vegetation classification system approach. J Sustain For 11(1-2):245-265.
572. Merrill EH, Bramble-Brodahl MK, Marrs RW, Boyce MS (1993) Estimation of green herbaceous phytomass from Landsat MSS data in Yellowstone National Park. J Rang Manage 46:151-157.
573. Miller JD, Danzer SR, Watts JM, Stone S, Yool SR (2003) Cluster analysis of structural stage classes to map wildland fuels in a Madrean ecosystem. J Environ Manage 68(3):239-252.
574. Millington AC, Critchley RW, Douglas TD, Ryan P (1994) Estimating woody biomass in sub- Saharan Africa. The World Bank, Washington, DC.
575. Morris WG (1970) Photo inventory of fine logging slash. Photogramm Eng Remote Sens 36:1252-1256.
576. Muraro SJ (1970) Slash fuel inventories from 70 mm low-level photography. Canadian Forest Service, Information Report 1268, Ottawa, Ontario, Canada, pp 63.
577. Mutlu M, Popescu SC, Stripling C, Spencer T (2008) Mapping surface fuel models using lidar and multispectral data fusion for fire behavior. Remote Sens Environ 112(1):274-285. http://dx.doi.org/10.1016/j.rse.2007.5.005 New Jersey Department of Conservation and Development U.S. Department of Agriculture FS (1942) Forest fuel types of New Jersey. New Jersey Department of Conservation and Development, Trenton, NJ.
578. Ohmann JL, Spies TA (1998) Regional gradient analysis and spatial pattern of woody plant communities of Oregon forests. Ecol Monogr 68(2):151-182.
579. Omernik JM (1987) Ecoregions of the conterminous United States. Annu Assoc Am Geogr 77(1):118-125.
580. Oswald BP, Fancher JT, Kulhavy DL, Reeves HC (1999) Classifying fuels with aerial photography in East Texas. Int J Wildland Fire 9(2):109-113.
581. Ottmar RD, Vihnanek R, Alvarado E (1994) Forest health assessment: air quality tradeoffs. In: Proceedings of the 12th international conference on fire and forest meterology, Jekyll Island, Georgia, USA, October 26-28, 1993. Society of American Foresters, Bethesda, MD, USA, pp 47-62.
582. Pala S, Taylor D, Holder G (1990) Integrating satellite-derived forest fuel data into fire management decision support models. In: Proceedings, second national GIS conference, Ottawa, Canada, March 5-8, 1990.
583. Peterson SH, Franklin J, Roberts DA, van Wagtendonk JW (2012) Mapping fuels in Yosemite National Park. Can J For Res 43(1):7-17. doi:10.1139/cjfr-2012-0213.
584. Pierce AD, Farris CA, Taylor AH (2012) Use of random forests for modeling and mapping forest canopy fuels for fire behavior analysis in Lassen Volcanic National Park, California, USA. For Ecol Manage 279:77-89. doi:http://dx.doi.org/10.1016/j.foreco.2012.05.010.
585. Quigley TM, Graham RT, Haynes RW (1996) An integrated scientific assessment for ecosystem management in the Interior Columbia River Basin and portions of the Klamath and Great Basins. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, PNW-GTR-382 Portland, OR., USA, pp 126.
586. Reeves MC, Ryan KC, Rollins MC, Thompson TG (2009) Spatial fuel data products of the LANDFIRE project. Int J Wildland Fire 18:250-267.
587. Reinhardt E, Lutes D, Scott J (2006) Fuel Calc: a method for estimating fuel characteristics. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, OR, 2006a. I U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41 Fort Collins, CO, pp 273-287.
588. Riaño D, Meier E, Allgöwer B, Chuvieco E, Ustin SL (2003) Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling. Remote Sens Environ 86(2):177-186.
589. Rignot E, Way J, Williams C, Viereck L (1994) Radar estimates of aboveground biomass in boreal forests of interior Alaska. IEEE Trans Geosci Remote Sens 32(5):1117-1124.
590. Rollins MG (2009) LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. Int J Wildland Fire 18(3):235-249. doi:10.1071/WF08088.
591. Rollins MG, Keane RE, Parsons R (2004) Mapping ecological attributes using gradient analysis and remote sensing. Ecol Appl 14(1):75-95.
592. Root RR, Wagtendonk J (1999) Hyperspectral analysis of multi-temporal Landsat TM data for mapping fuels in Yosemite National Park. In: Annual ASPRS Conference, Portland, OR., USA, May 17-21, 1999. Society of American Photogrammeters, Bethesda, MD., USA, pp 399-408.
593. Root RR, Stitt SCF, Nyquist MO, Waggoner GS, Agee JK (1985) Vegetation and fire fuel models mapping of North Cascades National Park. In: The tenth William T. Pecora remote sensing symposium, Fort Collins, CO, 1985, pp 287-294.
594. Saatchi S, Halligan K, Despain DG, Crabtree RL (2007) Estimation of forest fuel load from radar remote sensing. Geosci Remote Sens, IEEE Trans 45(6):1726-1740. doi:10.1109/tgrs.2006.887002.
595. Salas J, Chuvieco E (1994) Geographic information systems for wildland fire risk mapping. Wildfire 3(2):7-13.
596. Schmidt KM, Menakis JP, Hardy CC, Hann WJ, Bunnell DL (2002) Development of coarse-scale spatial data for wildland fire and fuel management. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-87 Fort Collins, CO, USA, pp 41.
597. Scott J, Burgan RE (2005) A new set of standard fire behavior fuel models for use with Rothermel’s surface fire spread model. USDA Forest Service Rocky Mountain Research Station, General Technical Report RMRS-GTR-153. Fort Collins, CO USA, pp 66.
598. Sikkink PG, Keane RE (2008) A comparison of five sampling techniques to estimate surface fuel loading in montane forests. Int J Wildland Fire 17(3):363-379. doi:Doi 10.1071/Wf07003.
599. Skidmore AK (1989) A comparison of techniques for calculating gradient and aspect from a gridded digital elevation model. Int J Geogr Info Sys 3(4):323-334.
600. Thornton PE, Law BE, Gholz HL, Clark KL, Falge E, Ellsworth DS, Goldstein AH, Monson RK, Hollinger DY, Falk M, Chen J, Sparks JP (2002) Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agric For Meteorol 113:185-222.
601. Varga TA, Asner GP (2008) Hyperspectral and LiDAR remote sensing of fire fuels in Hawaii Volcanoes National Park. Ecol Appl 18(3):613-623. doi:10.1890/07-1280.1.
602. Vasconcelos JJPd, Paul JCU, Silva S, Pereira JMC, Caetono MS, Catry FX, Oliveira TM (1998) Regional fuel mapping using a knowledge based system approach. In: Proceedings: III international conference on forest fire research and 14th conference on fire and forest meterology, vol. II, 1998. pp 2111-2123.
603. Verbyla DL (1995) Satellite remote sensing of natural resources. Lewis Publishers, CRC Press Valley Stream, New York.
604. Vogelmann JE, Kost JR, Tolk B, Howard S, Short K, Xuexia C, Chengquan H, Pabst K, Rollins MG (2011) Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and Ancillary data. Selected topics in applied earth observations and remote sensing. IEEE J 4(2):252-264. doi:10.1109/jstars.2010.2044478.
605. Willis JM (1985) Applications of Landsat imagery for fire fuels mapping projects covering large geographic areas. In: Proceedings of the Pecora X symposium, 1985. American Society for Photogrammetry and Remote Sensing, Falls Church, Virginia, USA, pp 394-395.
606. Wilson BA, Ow CFY, Heathcott M, Milne D, McCaffrey TM, Ghitter G, Franklin SE (1994) Landsat MSS classification of fire fuel types in Wood Buffalo National Park, Northern Canada. Glob Ecol Biogeogr Lett 4:33-39.
607. Xiao-rui T, McRae D, Li-fu S, Ming-yu W (2005) Fuel classification and mapping from satellite imagines. J For Res 16(4):311-316. doi:10.1007/bf02858198.
608. Agee JK, Skinner CN (2005) Basic principles of forest fuel reduction treatments. For Ecol Manage 211:83-96.
609. Anderson HE (1966) Flammability features of forest fuels. Unpublished Report on file at the Missoula Fire Sciences Laboratory, Missoula, MT 22 pp.
610. Bachmann A, Allgower B (2001) A consistent wildland fire risk terminology is needed! Fire Manage Today 61(4):28-33.
611. Bessie WC, Johnson EA (1995) The relative importance of fuels and weather on fire behaviour in subalpine forests. Ecology 76(3):747-762.
612. Burgan RE, Rothermal RC (1984) BEHAVE: fire behavior prediction and fuel modeling system-FUEL subsystem. USDA Forest Service.
613. Crow TR, Gustafson EJ (1997) Ecosystem management: managing natural resources in time and space. In: Kohm KA, Franklin JF (eds) Creating forestry for the 21st century. Island Press, Washington, DC, pp 215-229.
614. Dimitrakopoulos AP (2001) A statistical classification of Mediterranean species based on their flammability components. Int J Wildland Fire 10(2):113-118. doi:10.1071/WF01004.
615. Dimitrakopoulos AP, Papaioannou K (2001) Flammability assessment of Mediterranean forest fuels. Fire Technol 37(2):143-152. doi:10.1023/a:1011641601076.
616. Finney MA (2005) The challenge of quantitative risk analysis for wildland fire. For Ecol Manage 211:97-108.
617. Finney MA (2006) An overview of Flam Map fire modeling capabilities. In: Andrews PL, Butler BW (eds) Fuels management-how to measure success, Portland, OR, 28-30 March 2006. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41, pp 213-220.
618. Fosberg MA (1970) Drying rates of heartwood below fiber saturation. For Sci 16:57-63.
619. Gisborne HT (1947) Fundamentals of fire behavior. Fire Control Notes 9(1):13-24.
620. Hardy CC (2005) Wildland fire hazard and risk: problems, definitions, and context. For Ecol Manage 211:73-82.
621. Jenkins MJ, Page WG, Hebertson EG, Alexander ME (2012) Fuels and fire behavior dynamics in bark beetle-attacked forests in Western North America and implications for fire management. For Ecol Manage 275:23-34. doi:http://dx.doi.org/10.1016/j.foreco.2012.02.036.
622. Jolly WM, Parsons RA, Hadlow AM, Cohn GM, McAllister SS, Popp JB, Hubbard RM, Negron JF (2012) Relationships between moisture, chemistry, and ignition of Pinus contorta needles during the early stages of mountain pine beetle attack. For Ecol Manage 269:52-59. doi: http://dx.doi.org/10.1016/j.foreco.2011.12.022.
623. Kane JM, Varner JM, Knapp EE, Powers RF (2010) Understory vegetation response to mechanical mastication and other fuels treatments in a ponderosa pine forest. Appl Veg Sci 13(2):207-220. doi:10.1111/j.1654-109X.2009.01062.x.
624. Keane RE, Finney MA (2003) The simulation of landscape fire, climate, and ecosystem dynamics. In: Veblen TT, Baker WL, Montenegro G, Swetnam TW (eds) Fire and global change in temperate ecosystems of the Western Americas, vol 160 (Ecological Studies). Springer-Verlag, New York, pp 32-68.
625. Kreye JK, Kobziar LN, Camp JM (2014) Immediate and short-term response of understory fuels following mechanical mastication in a pine flatwoods site of Florida, USA. For Ecol Manage 313:340-354. doi:http://dx.doi.org/10.1016/j.foreco.2013.10.034.
626. Liodakis S, Bakirtzis D, Dimitrakopoulos A (2002) Ignition characteristics of forest species in relation to thermal analysis data. Thermochim Acta 390(1-2):83-91. doi:http://dx.doi. org/10.1016/S0040-6031(02)00077-1.
627. Mak EHT (1988) Notes: measuring foliar flammability with the limiting oxygen index method. For Sci 34(2):523-529.
628. North M, Collins BM, Stephens S (2012) Using fire to increase the scale, benefits, and future maintenance of fuels treatments. J For 110 (7):392-401. doi:10.5849/jof.12-021.
629. NWCG (2006) Fire terminology. http://www.nwcg.gov/pms/pubs/glossary/. Accessed 1 June 2014.
630. Parsons RA, Mell WE, McCauley P (2010) Linking 3D spatial models of fuels and fire: effects of spatial heterogeneity on fire behavior. Ecol Model 222(3):679-691.
631. Philpot CW (1969) Seasonal changes in heat content and ether extractive content of chamise. Res. Pap. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-61, Ogden, UT, 10 pp.
632. Pollet J, Omi PN (2002) Effect of thinning and prescribed burning on crown fire severity in ponderosa pine forests. Int J Wildland Fire 11:1-10.
633. Reinhardt ED, Keane RE, Calkin DE, Cohen JD (2008) Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States. For Ecol Manage 256(12):1997-2006. doi:10.1016/j.foreco.2008.09.016.
634. Schoennagel T, Veblen TT, Negron JF, Smith JM (2012) Effects of mountain pine beetle on fuels and expected fire behavior in lodgepole pine forests, Colorado, USA. PLoS ONE 7(1):e30002.
635. Thaxton JM, Platt WJ (2006) Small-scale fuel variation alters fire intensity and shrub abundance in a pine savanna. Ecology 87(5):1331-1337. doi:10.1890/0012-9658(2006)87[1331:SFVAFI] 2.0.CO;2.