Agriculture Reference
In-Depth Information
Mitchell SJ (2013) Wind as a natural disturbance agent in forests: a synthesis. Forestry 86(2):147-
157. doi:10.1093/forestry/cps058
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
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
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
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
Philpot CW (1970) Influence of mineral content on the pyrolysis of plant materials. Forest Sci
16(4):461-471
Pyne SJ (2001) The fires this time, and next. Science 294:1005-1006
Pyne SJ, Andrews PL, Laven RD (1996) Introduction to wildland fire, 2nd edn. Wiley, New York
Ragland KW, Aerts DJ, Baker AJ (1991) Properties of wood for combustion analysis. Bioresource
Technol 37(2):161-168
Reinhardt E, Dickinson M (2010) First-order fire effects models for land management: overview
and issues. Fire Ecol 6(1):131-142
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 INT-
GTR-344, 65 pp
Reinhardt ED, Keane RE, Brown JK (2001) Modeling fire effects. Int J Wildland Fire 10:373-380
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
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
Sandberg DV, Riccardi CL, Schaaf MD (2007) Reformulation of Rothermel's wildland fire behav-
iour model for heterogeneous fuelbeds. Can J Forest Res 37(12):2438-2455
Scott J, Burgan RE (2005) A new set of standard fire behavior fuel models for use with Rother-
mel's surface fire spread model. USDA Forest Service Rocky Mountain Research Station,
General Technical Report RMRS-GTR-153. Fort Collins, CO, 66 pp
Shafizadeh F, Chin PPS, DeGroot WF (1977) Effective heat content of green forest fuels. Forest
Sci 23(1):81-89
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
Sullivan AL (2009a) Wildland surface fire spread modelling, 1990-2007. 1: physical and quasi-
physical models. Int J Wildland Fire 18(4):349-368
Sullivan AL (2009b) Wildland surface fire spread modelling, 1990-2007. 2: empirical and quasi-
empirical models. Int J Wildland Fire 18(4):369-386
Susott RA, DeGroot WF, Shafizadeh F (1975) Heat content of natural fuels. J Fire Flammability
6:311-325
Thomas PH (1953) Effects of fuel geometry in fires. Building Research Establishment Current Pa-
per. Department of the Environment, Building Research Establishment, Borehamwood, 15 pp
Trakhtenbrot A, Katul GG, Nathan R (2014) Mechanistic modeling of seed dispersal by wind over
hilly terrain. Ecol Model 274(0):29-40
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
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)
Search WWH ::




Custom Search