Bibliografía

Agee, J.,1996. The influence of forest structure on fire behaviour. Proceedings of the 17th annual forest vegetation management conference, Redding, CA, USA, 16–18 Jan: 52–68

Aguado, I., Rodriguez y Silva, F. 2004. El factor meteorológico en incendios forestales. En: Nuevas tecnologías para la estimación del riesgo de incendios forestales. E.Chuvieco, Maria del Pilar Martín (eds) CSIC. Madrid: 63-99

Albini, F.A., 1976. Estimating wildfire behavior and effects. USDA Forest Service. Gen. Tech. Rep. INT-30. Missoula, 92 pp.

Albini, F.A., Baughman, R., G., 1979. Estimating windspeeds for predicting wildland fire behavior. Res. Pap. INT-221. Ogden,UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 12 pp.

Albini , F.A., Alexander, M.E., Cruz,M.G.2012 A mathematical model for predicting the maximum potential spotting distance from a crown fire. Int. J. Wildland Fire 21:609-627

Alexander, M.E., Cruz, M.G. 2012. Interdependencies between flame length and fireline intensity in predicting crown fire initiation and crown scorch height. Int. J. Wildland Fire 21(2):95-113

Alexander, M.E., Cruz, M.G. 2016 Crown fire dynamics in conifer forests. En Werth et al. : Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists. U.S.D.A., Forest Service, Pacific Northwest Research Station Gen. Tech. Rep. PNW-GTR-891. Portland, OR. Chapter 9: 163-258

Alvarado-Celestino, E., Morfín-Ríos, J. E., Jardel-Peláez, E. J., Vihnanek, R. E., Wright, D. K., Michel-Fuentes, J. M., Wright, C. S., Ottmar, R. D., Sandberg, D. V., Nájera-Díaz, A., 2008. 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. Printed version. Pacific Wildland Fire Sciences Laboratory Special Pub. No. 1. Seattle: University of Washington, College of Forest Resources. 93 pp.

Allgöwer, B.,Calogine, D., Camia, A., Cuiñas, P., Fernandes,P., Francesetti, A., Hernando, C., Kötz, B., Koutsias, N., Lindberg, H., Marzano, R., Molina, D., Morsdorf, F., Ribeiro, L.M., Rigolot, E., Séro-Guillaume, O., 2007. Methods for Wildland Fuel Description and Modelling: Final version of the State of the Art. Technical Report: EUFIRELAB Deliverable D-02-01.

Amiro, B.D., Stocks, B.J., Alexander, M.E., Flannigan, M.D. y Wotton B.M., 2001. Fire, climate change, carbon and fuel managemente in the Canadian boreal forest. Int J. Widland Fire, 10.

Anderson, H.E., 1982. Aids to determining fuel models for estimating fire behavior.General Technical Report. INT-122. USDA Forest Service. Intermountain Forest and Range Experiment Station. 22 pp.

Anderson, W.A., Cruz, M.G., Fernandes, P., McCaw., L., Vega, J.A., Bradstock, R.A. ,Fogarty, L., Gould, J., McCarthy, G., Mardsen-Smedley, J.B. Mathews, S., Mattingley, G., Pearce, G.H., van Wilgen, B.W. 2015 A generic empirical-based model for predicting rate of fire spread in shrublands. Int.J. Widland Fire 24: 443-460

Andrews, P.L., 2012a. Behave Plus fire modelling system: version 4.0: Variables. USDA Forest Service RMRS-GTR-2013. 107 pp.

Andrews, P.L., 2012b.Modeling wind adjustment factor and midflame wind speed for Rothermel’s surface fire spread model. United States Department of Agriculture/Forest Service. Rocky Mountain Research Station General Technical Report RMRS-GTR-266

Arnaldos, J., Navalón, X., Pastor, E., Planas, E., Zárate L., 2004. Manual de ingeniería básica para la prevención y extinción de incendios forestales. Ediciones Mundi-Prensa.

Arroyo, L.A., Pascual, C., Manzanera J.A., 2008. Fire models and methods to map fuel types: The role of remote sensing. For. Eco. Manage. 256: 1239-1252

Ascoli, D., Vacchiano, G., Motta, R. Bovio, G., 2015 Buliding Rothermel fire behaviour fuel models by genetic algorithm optimization. Int. J. Wildland Fire 24(3):317-328

Baeza, J. , De Luis ,M., Raventós, J., Escarré, A.2002 Factors influencing fire behaviour in shrublands of different stand ages and the implications for using prescribed burning to reduce wildfire risk. J. Env. Manage. 65:199-208

Battye, W.B., y Battye, R., 2002. Development of emissions inventory methods for widland fire. Prepared for Thompson G. Pace, D205-01 of the US Environmental Protection Agency.

Belcher, C.M., 2013. Fire Phenomena and the Earth System. Wiley –Blackwell. 347pp.

Benscoter, B.W.,Thompson, D.K.,Waddington, J.M., Flannigan, M.D., Wotton, B.M., De Groot, W.J., Turetsky, M.R., 2011. Interactive effects of vegetation, soil moisture and bulk density on depth of burning of thick organic soils. Int. J. Wildland Fire 20: 1–12

Berg, E., 2007. Characterizing and classifying complex fuels – a new approach. Can. J. For. Res. 37, 2381–2382.doi:10.1139/X07-150

Bonazountas, M., Astyakopoulos, A., Martirano, G., Sebastian, A. De la Fuente, D., Ribero, L.M. Viegas, D.X.,Eftychidis, G., Gitas, I., Toukiloglou, P., 2014 LIFE_ArcFUEL: Mediterranean fuel types map geodatabase for widland &forest fire safety. En Advances in Forest Fire Research. D.X. Viegas Chap VI: 1725-1735. Universidad de Coimbra.

Bowman,D.M.J.S.,Balch,J.K., Artaxo,P.,Bond,W.J., Carlson, J.M., Cochrane,M.A., D’Antonio,C.M., DeFries,R.S., Doyle, J.C., Harrison, S.P., Johnston,F.A., Keeley, J.E., Krawchuk, M.A., Kull, C.A., Marston,J.B.,Moritz, M.A.,Prentice,I.C., Roos,C.I., Scott,A.C.,Swetnam, T.W.,Van der Werf,G.R., Pyne, S.J., 2009. Fire in the Earth System. Science 324 (5926):481-484

Bradstock, R.A., Williams, J.E. Gill, A.M. 2002. Flammable Australia. Cambridge University Press. 462 pp

Brose,P. H., 2008. Photo Guide for Estimating Fuel Loading and Fire Behavior in Mixed-Oak Forests of the Mid-Atlantic Region United States Department of Agriculture, Forest Service, General Technical Report NRS-45:, 108 pp.

Brown, J.K. 1974 Handbook for inventorying downed woody material USDA Forest Service Intermountain Forest and Range Experiement Station.General Technical GTR-INT-16, 34 pp.

Burgan, R.E., Rothermel, R.C., 1984. BEHAVE: Fire Behavior Prediction and Fuel Modeling System-FUEL Subsystem.. USDA Forest Service. Intermountain Forest and Range Experiment Station. Gen. Tech. Rep. INT-167, 126 pp.

Burrows, N.D., 1999. Fire behaviour in jarrah forest fuels: 2. Field experiments.

CALM Science 3, 57–84.

Byram, G.M., 1959. Combustion of forest fuels. En “Forest Fire Control and use ” K.P. Davis. McGraw-Hill. New York.

Camia, A., 2012. Fuel type maps of Europe: JRC aproach and current development. Presentado en New Forest UK. 22-24 mayo, http://es.slideshare.net/anest_trip/01camia-fuel-map-of-europe (accedido en 11 de junio 2016).

Canfield, R.H., 1941. Application of the line interception method in sampling range vegetation. J. Forestry 39:388-394.

Casal, M., Basanta, M., Gonzalez, R., Montero, F., Pereiras, J., Puentes,A. 1990. Post-fire dynamics in experimental plots of shrubland ecosystems in Galicia( NW Spain). In Goldammer J.G. y Jenkins, M.J.(eds).Fire and Ecosystem dynamics SPB Academic Publishing. The Hague: 33-42

Castedo-Dorado, F., Gómez-Vázquez, I., Fernandes, P.M., Crecente-Campo, F.,2012. Shrub fuel characteristics estimated from overstory variables in NW Spain pine stands. For. Eco Manage. 275 :130–141

Chávez, A.A., Rubio, E., Flores, J.G., Luna, M., Flores, H.E., Ruiz, J.A., Ramírez, G., Xelhuantzi, J., 2014.Caracterización y clasificación de camas de combustibles prioritarios en México para planificar el manejo del fuego. Fundamentos técnicos y metodológicos. Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias. 162 pp

Chandler, C., Cheney, P., Thomas, P., Trabaud, L., Williams, D., 1983. Fire in Forestry. Volume 1. Forest Fire Behavior and Effects.

Chen, Y. ,Zhu,X.,Yebra,M., Harris,S., Tapper,N., 2016.“Strata-based forest fuel classification for wild fire hazard assessment using terrestrial LiDAR,” J. Appl. Remo. Sens. 10(4), 046025

Cheney, N.P., Gould, J.S., Catchpole, W.R., 1998. Prediction of fire spread in grasslands. Int. J. Wildland Fire 8(1): 1-13.

Cheney, N.P., Gould, J.S., McCawb, W. L., Anderson, W.R., 2012. Predicting fire behaviour in dry eucalypt forest in southern Australia. For. Eco. Manage. 280 (2012): 120–131.

Chuvieco, E., Riaño, D., Van Wagtendok, J., Morsdof, F., 2003. Fuel Loads and Fuel Type Mapping. Chapter 5: 119-142

Clifford, V.R., Pearce, H.G., Anderson, S.A.J., 2013 Guide to New Zealand fuels. Scion, Rural Fires Research Group. N. Z. Forest Research Institute Limited.

Clements , C.B. 2016 Effects of complex terrain. En En Werth et al. : Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists. U.S.D.A., Forest Service, Pacific Northwest Research Station Gen. Tech. Rep. PNW-GTR-891. Portland, OR: 5-23

Cohen, M., Cuiñas, P., Diez, C., Fernandes, P., Gujarro, M,, Moro, C., 2002 Wildland fuel particles characterisation. Database content. Deliverable D6-03 A1.Fire Star Project EVG1-CT-2001-0041. 25 pp.

Cocero, d., Riaño, D, Meza, E. Chuvieco, E. 2004 Cartografía del estado y tipo de los combustibles. En: Nuevas tecnologías para la estimación del riesgo de incendios forestales. E.Chuvieco, Maria del Pilar Martín (eds) CSIC. Madrid: 33-62

Cruz, M.G., Alexander, M.E., y Wakimoto, R.H., 2003. Assessing the probability of crown fire initiation based on fire danger indices. For. Chron. 79:976-983.

Cruz, M.G., Alexander, M.E., y Wakimoto, R.H., 2004. Modeling the likelihood of crown fire occurrence in conifer forest stands. For. Sci. 50(5):640-658.

Cruz, M.G., Alexander, M.E., Wakimoto, R.H., 2005. Development and testing of models for predicting crown fire rate of spread in conifer forest stands. Can. J. For. Res. 35: 1626–1639

Cruz, M.G., Alexander, M.E., Fernandes. P.,2008. Development of a model system to predict wildfire behaviour in pine plantations. Aus. For 71:113–121.

Cruz, M.G., Alexander, M.E., 2010. Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies. Int. J. Wild. Fire 19: 377–398.

Cruz, M., de Mar, P., Adshead, D.,2011, Radiata pine plantation fuel and fire behaviour guide, CSIRO and GDH publication for the Australian Government Department of Agriculture, Fisheries and Forestry,Canberra, ACT.

Cruz, M.G., Alexander, M.E. 2013. Uncertainty associated with model predictions of surface and crown fire rates of spread. Environ. Model. Soft. 47: 16e28

De La Torre, J.R., 1991. Mapa Forestal de España. Escala 1:200.000. Ministerio de Agricultura, Pesca y Alimentación. ICONA.

De Mar, P., Adshead, O., 2011. Blue gum plantation fuel and fire behaviour guide CSIRO and GDH publication for the Australian Government Department of Agriculture, Fisheries and Forestry, Canberra, ACT. 12 pp.

Dieguez, U., Rojo, A., Castedo, F., Álvarez, J., Barrio, M., Crecente, F., González, J.M., Pérez, C., Rodríguez, R., López, C.A., Balboa, M.A., Gorgoso, J.J., Sánchez, F., 2009. Herramientas selvícolas para la gestión forestal sostenible en Galicia. Dirección Xeral de Montes. Cons.Medio Rural. Xunta de Galicia.

Dimitrakopoulos, A.P., 2002. A statistical classification of Mediterranean species based on their flammability components. Int. J. Widland Fire, 10: 113-118

Dimitrakopoulos, A.P. 2002. Mediterranean fuel models and potential fire behaviour in Greece. Int. J. Wildland Fire. 11(2): 127-130

Dold, J., 2010. Flow attachment in eruptive fire growth. VI Int. Confer. on Forest Fire Research. D. X. Viegas (Ed.) 10 pp.

Elvira, L. M. y Hernando, C., 1989. Inflamabilidad y energía de las especies de sotobosque. MAPA. Monografía INIA, Madrid.

Ellis, P.F., 2000. The aerodynamic and combustión characteristics of eucalypt bark- a firebrand study. A Ph. D. Thesis. Dept. of Forestry Australian National University .

Fernandes, P. 2009a. Combining forest structure data and fuel modelling to classify fire hazard in Portugal. Ann. For. Sci. 415:1-9 pp.

Fernandes, P., Gonçalves, H., Loureiro, C., Fernandes, M., Costa, T., Cruz, M.G., Botelho,H., 2009b. Modelos de combustível florestal para Portugal. In: Actas do 6º Congresso Florestal Nacional. SPCF, Lisboa, pp. 348-354.

Fernandes, P.M., Loureiro, C., Palheiro, P., Vale-Gonçalves, H. Fernandes, M.M.,Cruz, M.G.,2011. Fuels and fire hazard in blue gum (Eucalyptus globulus) stands in Portugal. Boletín CIDEU 10: 53-61

Fernández-Alonso, J.M., Alberdi, I., Alvarez-González, J.M., Vega, J.A., Cañellas, I., Ruiz-González, A.D., 2013. Canopy fuel characteristics in relation to crown fire potential in pine stands: analysis, modelling and classification. Eur. J. For. Res. 132(2): 363-377.

Fernández, C., Vega, J.A. Fontúrbel, T., Pérez-Gorostiaga, P.,Jimenez, E., Pérez, J.R. 2007 Fuel reduction treatment influence in soil erosion. Proceedings of the 4th International wildfire Conference. Sevilla 13-17 May 2007: 7 pp.

Finney, M.A., 1998. FARSITE: fire area simulator-model development and evaluation. USDA Forest Service Research Paper RMRS-RP-4.

Fischer, W.C., 1981a. Photo guide for appraising downed woody fuels in Montana forests: How they were made. USDA For. Serv. Gen. Tech. Res. Note INT-299, Intermt. For. and Range Exp. Stn. Ogden, Utah. 12 pp.

Fischer, W.C., 1981b. Photo guide for appraising downed woody fuels in Montana forests: grand fir, larch, Douglas fir, western hemlock, western redcedar and western redcedar cover types. USDA For. Serv. Gen. Tech. Rep. INT-96, Intermt. For. and Range Exp. Stn. Ogden, Utah.

Fischer, W.C., 1981c. 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 For. Serv. Gen. Tech. Rep. INT-97, Intermt. For. and Range Exp. Stn. Ogden, Utah. 142 pp.

Flores-Garnica, J.G., Omi, P.N.2003. Mapeo de combustibles forestales para simulaciones del comportamiento espacial del fuego usando estrategias de geomática. Agrociencia 37: 65-72.

Flores, J.G., Moreno, D.A., Morfín ,J.E. 2010 Muestreo directo y fotoseries en la evaluación de combustibles forestales. INIFAP, SAGARPA. Campo experimental Centro Altos de Jalisco. Folleto técnico Num. 4

Fogarty, L.G. 2001 A flammability guide for some common New Zealand native tree and shrub species. Forest Research Bulletin No.197.Forest and Rural Fires Scientific and Technical Series Report No.6. 24 pp.

Fosberg, M.A. 1970. Drying Rates of Heartwood Below Fiber Saturation. For. Sci. 16(1):57-63

Frazer, G.W., Canham, C.D. y Lertzman, K.P., 1999. Gap Light Analyzer (GLA), Version 2.0: Imaging software to extract canopy structure and gap light transmission indices from true-colour fisheye photographs, users manual and program documentation. Simon Fraser University, Burnaby, British Columbia, and the Institute of Ecosystem Studies, Millbrook, New York.

Gajardo, J.; García, M.; Riaño, D.,2014. Applications of airborne laser scanning in forest fuel assessment and fire prevention. In Forestry Applications of Airborne Laser Scanning; Springer: Dordrecht, The Netherlands: 439–462.

Ganteaume A., Lampin C., Guijarro M., Hernando C., Jappiot M., Pérez-Gorostiaga P., Vega J.A., Fonturbel T., 2009. Spot fires. Fuel bed flammability and ignition capability of firebrands. Int J. Wildland Fire 18:951-969

Ganteaume,A., Guijarro, M.,Jappiot, M., Hernando, C., Lampin-Maillet, C., Pérez-Gorostiaga, P., Vega, J.A.,2011. Laboratory characterization of firebrands involved in spot fires. Ann. For. Sci. 68: 531-541.

Garlough, E.C., Keyes, C.R.,2013. Properties of Long-Unburned Duff Mounds in an Old-Growth Ponderosa Pine Stand. Advances in Forestry Letters (AFL) Volume 2 Issue 4:57-60

Gould, J.S., McCaw, W.L., Cheney, N.P., Ellis, P.F., Matthews, S., 2007a. Field Guide-Fuel assessment and fire behaviour prediction in dry eucalypt forest.Ensis-CSIRO, Canberra, ACT and Department of Environment and Conservation, Perth, WA.

Gould, J.S., McCaw, W.L., Cheney, N.P., Ellis, P.F., Knight, I.K., Sullivan, A.L., 2007b. Proyect Vesta-Fire in Dry Eucalypt Forest: Fuel structure, fuel dynamics and fire behaviour. Ensis-CSIRO, Canberra ACT, and Department of Environment and Conservation, Perth, WA.

Gould, J.S., McCaw, W.L., Cheney, N.P., 2011. Quantifying fine fuel dynamics and structure in dry eucalypt forest (Eucalyptus marginata) in Western Australia for fire management. Forest Ecology and Management 252, 531–546. http://dx.doi.org/10.1016/j/foreco.2011.04022.

Gould, J., Cruz, M., 2012. Australian Fuel Classification: Stage II. Ecosystem Sciences and Climate Adaption Flagship, CSIRO, Canberra Australia. 108 pp.

Guijarro, M., Hernando, C., Díez, C., Martínez, E., Madrigal ,J., Lampin Cabaret, Blanc, L., Colin. P.Y. ,Pérez-Gorostiaga, P., Vega, J.A., Fonturbel, M.T. 2002 Capability of ignition of some forest firebrands. En:Viegas DX (Ed.), Proceedings of IV International Conference on Forest Fire Research. 2002 Wildland Fire Safety Summit, Luso,Portugal, Millpress Scientific Publications, Rotterdam, the Netherlands (CD-ROM).

Guijarro, M., Pérez-G orostiaga, P., Madrigal, J., Diez,C., Vega,J.A.2006 Los focos secundarios en los incendios forestales. IV Congreso Forestal Español. 8 pp.

Hartford,R.A.,1993. Smoldering combustion limits in peat as influenced by moisture mineral content and organic bulk density. Theses, University of Colorado Dissertations, Professional Papers. Paper 7385

Hines, F., Tolhurst, K.G., Wilson, A.A.G., McCarthy, G.J., 2010. Overall Fuel Hazard Assessment Guide, fourth ed. Department of Sustainability and Environment, Melbourne, Victoria.

Hollis, J.J., Gould, J.S., Cruz, M.G., McCaw, L., 2015. Framework for an Australian fuel classification to support bushfire management. Aus. Fore. Vol. 78, No. 1, 1-17.

ICONA, 1987. Guía fotográfica para la identificación de modelos de combustible. MAPA. Madrid.

ICONA , 1990. Clave fotográfica para la identificación de modelos de combustible, Defensa contra incendios forestales. MAPA. Madrid.

Izco, J., Amigo, J., García-San León, D., 1999. Análisis y clasificación de la vegetación leñosa de Galicia. Lazaroa 20: 29-47.

Izco, J., Amigo, J., García-San León, D., 2000. Análisis y clasificación de la vegetación de Galicia II. Vegetación herbácea. Lazaroa 21: 25-50.

Izco, J. , Ramil, P., Diaz, R., sanchez, J.M., 2006. Brezales: Biodiversidad, usos y conservación. IBADER 1-2:5-24

Jiménez, E., Vega, J.A., Ruiz-González, A.D., Guijarro, M., Alvarez-González, J.G., Madrigal, J., Cuiñas, P., Hernando, C., Fernández-Alonso, J.M., 2013. Carbon emissions and vertical pattern of canopy fuel consumption in three Pinus pinaster Ait. active crown fires in Galicia (NW Spain) Eco. Engine. 54: 202– 209

Jiménez, E., Vega-Nieva, D., Rey, E., Fernández, C. y Vega, J.A., 2016. Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. Forest in northern central Spain after thinning and mastication. Eur J Forest Res DOI 10.1007/s10342-016-0963-x.

Johnson, E.A., Miyanishi, K., 2001. Forest Fires Behavior and Ecological Effects. Academic Press. 594pp.

Keane, R.E.; Mincemoyer, S.A.; Schmidt, K. M.; Long, D.G.;Garner, J. 2000. Mapping vegetation and fuels for fire management on the Gila National Forest Complex, New Mexico, [CD-ROM]. US DA Forest Service Gen. Tech. Rep.RMRS-GTR-46-CD. Ogden, UT: Rocky Mountain Research Station, 126 p.

Keane, R.E., Burgan, R., Van Wagtendonk , J., 2001 Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling. Int. J. Wildland Fire 10: 301–319.

Keane, R.E., 2013. Describing wildland surface fuel loading for fire management: a review of approaches, methods, and systems. Int. J. Wildland Fire 22, 51–62.

Keane, R.E., 2015. Wildand Fuel Fundamentals and Application. Springer 191 pp.

Keane, R. E., Herynk, J. M., Toney, C., Urbanski, S.P., Lutes, D.C., Ottmar, R.D.,2015. Assessing three fuel classification systems and their maps using Forest Inventory and Analysis (FIA) surface fuel measurements. In: Keane, Robert E.; Jolly, Matt; Parsons, Russell; Riley, Karin. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station: 128-140.

Keane, R.E.; Dickinson, L.J. 2007a. Development and evaluation of the photoload sampling technique. US Dep. Agric., For. Serv., Rocky Mtn. Res. Stn., Fort Collins, CO. Res. Pap. RMRS-RP-61CD.

Kent, M., Coker, P., 1992. Vegetation description and analysis: A Practical Approach. Belhaven Press, 25 Floral Street. London WC2E 9DS. Printed in Great Britain. 363 pp .

Kidnie, S.M.,Wotton, B.M.,Droog, W.N.,2010. Field Guide for Predicting Fire Behaviour in Ontario’s Tallgrass Prairie Natural Resources Canada Canadian Forest Service 72 pp.

Koo, E., Pagni, P.J. Weise,D.F., Woycheese, J.P. 2010 Firebrands and spotting ignition in large-scale fires. Int. J.Widland Fire 19: 818-843

Koski, W.H. y Fischer, W., 1979. Photo series for appraising thinning slash in north Idaho. USDA Forest Service. Gen. Tech. Rep. INT-46,49p Intermt. For. and Range Experiment Station, Ogden, Utah.

Krivtsov, V., Vigy, O., Legg, C., Curt, T., Rigolot, E., Lecomte, I., Jappiot, M., Lampin-Maillet, C., Fernandes, P., Pezzatti, G.B., 2009. Fuel modelling in terrestrial ecosystems: an overview in the context of the development of an objectorientated database for wild fire analysis. Ecol. Model. 220, 2915–2926.

Kucuk, O., Bilgili, E.,Fernandes, P.M.,2015. Fuel modelling and potential fire behavior in Turkey. Šumarski list, 11–12 (2015): 553–560

Lasaponara, R., Lanorte ,A., 2006.Multispectral fuel type characterization based on remote sensing data and Prometheus model. For. Eco. Manag. 234, S226.

Lasaponara, R., Lanorte, A. 2007.Remotely sensed characterization of forest fuel typesby using satellite ASTER data. Int. J.Appl. Earth Observ. Geoinfo 9: 225–234.

Lanorte, A. Lasaponara,R. 2008.Fuel type characterization based on coarse resolu

tion MODIS satellite data. iForest 1:60-64.

Lavoie,N., Alexander,M.E., Macdonald, S.E., 2010. Photo Guide for Quantitatively Assessing the Characteristics of Forest Fuels in a Jack Pine – Black Spruce Chronosequence in the Northwest Territories Northern Forestry Centre Canadian Forest Service Edmonton, Alberta . 51 pp.

Liang, X., Kankare, V.,Hyyppä, J., Wang, Y., Kukko, A., Haggrén, H., Yu, X., Kaartinen, H., Jaakkola, A., Guan, F.,2016. Terrestrial laser scanning in forest inventories. ISPRS J. Photo.. Remo. Sens : 115:63–77.

Luke, R.H., McArthur, A.G., 1978. Bushfires in Australia. CSIRO Division of Forest Research. 350 pp.

Lutes, D.C. Keane, R.E., Caratti, J.F. 2009a. Surface fuel classification for estimating fire effects. Int. J. Wildland Fire 18. 302-314

Lutes, D.C., Benson, N.C., Keifer, M., Caratti, J.F., Streetman, S.A., 2009. FFI: A software tool for ecological monitoring. Int. J. Wildland Fire 18, 310–314. doi:10.1071/WF08083.

Lutes, D.C., Keane, J.F., Caratti, C.H., Key, C.H., Benson, N.C., Gangi, L.J., 2004. FIREMON: fire effects monitoring and inventory system. In. USDA Forest Service, Rocky Mountain Research Station, Ogden, UT, p 40.

Mallinis,G., Koutsias, N.,2008. Spectral and Spatial-Based Classification for Broad-Scale Land Cover Mapping Based on Logistic Regression. Sensors 8: 8067-8085.

Marsden-Smedley, J.B. and Catchpole, W.R. 1995. Fire behaviour modelling in Tasmanian buttongrass moorlands. II. Fire behaviour. Int. J. Wildland Fire 5: 215–228.

Matthews, S., 2009. A comparison of fire danger rating systems for use in forests. Aus. Meteo. Ocean. J.l 58, 41-48.

McArthur, A.G., 1967.Fire Behaviour in Eucalypt Forest. Commonwealth of Australia Forestry and Timber Bureau, Canberra, ACT. Leaflet No. 107.

McArthur, A.G., 1973. Forest Fire Danger Meter Mark V. Commonwealth of Australia Forestry and Timber Bureau, Canberra, ACT.

McCaw, W.L., Gould, J.S., Cheney, N.P., 2008. Existing fire behaviour models underpredict the rate of spread of summer fires in open jarrah (Eucalyptus marginata)forest. Aust. For. 71, 16–26.

McKenzie, D., Raymond,C.L, Kellogg, L.-K.B., Norheim, R.A., Andreu ,A., Bayard, A.C., Kopper., K.E., 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.

Maxwell, W.G. y Ward, F.R., 1976a. Photo series for quantifying forest residues in the: coastal Douglas-fir-hemlock type, coastal Douglas-fir-hardwood type. USDA Forest Service. Pacific Northwest Gen. Tech. Rep. PNW-51.

Maxwell, W.G. y Ward, F.R., 1976b. Photo series for quantifying forest residues in the: ponderosa pine type, ponderosa pine and associates species type, lodgepole pine type. USDA Forest Service. Pacific Northwest Gen. Tech. Rep. PNW-52.

Maxwell, W.G. y Ward, F.R., 1980a. Guidelines for developing or supplementing natural photo series. USDA Forest Service. Pacific Northwest Forest and Range Experiment Station. Research Note PNW-358.

Maxwell, WG.; Ward, F.R. 1980b. Photo series for quantifying natural forest residues in common vegetation types of the Pacific Northwest. US Dep. Agric., For. Serv., Pac. Northwest For. Range Exp. Stn., Portland, OR. Gen. Tech. Rep. PNW-105.

MARM Ministerio de Medio Ambiente, Medio Rural y Marino.2000. III Inventario Forestal Nacional. Datos de la Comunidad Autónoma de Galicia. Madrid.

MARM Ministerio de Medio Ambiente, Medio Rural y Marino.2011. IV Inventario Forestal Nacional. Datos de la Comunidad Autónoma de Galicia. Madrid.

Mitsopoulos, I.D., Dimitrakopoulos, A.P., 2007.Canopy fuel characteristics and potential crown fire behaviour in Aleppo pine (Pinus halepensis Mill.) forests. Ann. For. Sci. 64:287–299.

Mitsopoulos, I.D., Ribeiro, L.M., Eftychidis, G., Viegas, D.X., 2014. Accuracy assessment of a mediterranean fuel-type map for wildland fire management at national scale: the cases of Greece and Portugal.In Advances in Forest Fire Research. D.X. Viegas Chap VI: 1615-1622 Universidad de Coimbra.

Montero, G., Ruiz-Peinado, R., Muñoz, M, 2005. Producción de Biomasa y Fijación de CO2 por los bosques españoles. Monografías INIA, Serie Forestal Nº13.

Moon, K., Duff, T.J.,Tolhurst, K.G., 2016. Sub-canopy forest winds: understanding wind profiles for fire Behavior simulation. Fire Safe. J. http://dx.doi.org/10.1016/j.firesaf.2016.02.005.

Morfín J.E., Alvarado, E., Jardel, E.J., Vihnanek, R.E., Wright, D.K., Michel, J.M., Wright, C.S., Ottmar, R.D., Sandberg, D.V. y Nájera, A.,2007a. Photo Series for Quantifying Forest Fuels in México: Montane Subtropical Forests of the Sierra Madre del Sur, and Temperate Forests and Montane Shrubland of theNorthern Sierra Madre Orienta

Morfín J.E., Jardel, E.J., Michel, J.M., Alvarado, E., Vihnanek, R.E., Wright, C.S., 2007b. Manual para la evaluacion de cuantificacion de combustibles forestales . Universidad de Guadalajara, Jalisco.México. 30 pp.

Mutlu, M., Popescu, S.C.,Stripling, C., Spencer, T., 2008. Mapping surface fuel models using lidar and multispectral data fusion for fire behavior. Remo. Sens. Enviro. 112:274–285.

Nadeau, L.B., McRae, D.J, Jin, J.Z., 2005 Development of a national fuel-type map for Canada using fuzzy logic. Natural Resources Canada. Canadian Forest Service.vi 18 p.

Noble, I.R., Bary, G.A.V., Gill, A.M., 1980. McArthur's fire-danger meters expressed as equations. Aust. J. Eco.5: 201-203.

O’Bryan, D. 2016. Usable findings in major bushfire behaviour research in eucalypt forests – McArthur, Burrows, Vesta Red Eagle Bushfire Protection Services. 115 pp.

Olsoy, P.J., Glenn, N.F., Clark, P.E., Derryberry, D.R., 2014. Aboveground total and green biomass of dryland shrubderived from terrestrial laser scanning. ISPRS J. Photo. Remo. Sens. 88:166–173.

Ottmar, R. D., Vihnanek, R.E., Wright, C. S., 1998. Stereo photo series for quantifying natural fuels. Volume I: mixed-conifer with mortality, western juniper, sagebrush, and grassland types in the Interior Pacific Northwest. PMS 830. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center. 73 pp.

Ottmar, R. D., Vihnanek, R.E., 1999. Stereo photo series for quantifying natural fuels. Volume V: midwest red and white pine, northern tallgrass prairie, and mixed oak types in the Central and Lake States. PMS 834. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center. 99 pp.

Ottmar, R. D., Vihnanek, R.E., 2000. Stereo photo series for quantifying natural fuels. Volume VI: Longleaf pine, pocosin, and marshgrass in the Southeast United States. PMS 835. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center. 85 pp.

Ottmar, R. D., Vihnanek, R. E. 2002. Stereo photo series for quantifying natural fuels. Volume IIa: hardwoods with spruce in Alaska. PMS 836. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center. 41 pp.

Ottmar, R D., Vihnanek, R.E., Mathey, J.W., 2003. Stereo photo series for quantifying natural fuels. Volume VIa: sand hill, sand pine scrub, and hardwoods with white pine types in the Southeast United States with supplemental sites for volume VI. PMS 838. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center. 78 pp.

Ottmar, R. D., Vihnanek, R. E., Wright, C.S., Olson, D. L., 2004. Stereo photo series for quantifying natural fuels. Volume VII: Oregon white oak, California deciduous oak, and mixed-conifer with shrub types in the Western United States. PMS 839. Boise, ID: National Wildfire Coordinating Group, National Interagency Fire Center. 75 p.

Ottmar, R.D., Sandberg, D.V., Riccardi, C.L., Prichard, S.J., 2007a An overview of the Fuel Characteristic Classification System (FCCS) -Quantifying, classifying, and creating fuel beds for resource planning. Can. J. For. Res. 37, 2383-2393.

Ottmar, R.D., Vihnanek, R.E., Wright, C.S., Seymour, Geoffrey B., 2007b. Stereo photo series for quantifying natural fuels: volume IX: oak/juniper types in southern Arizona and New Mexico. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. Gen. Tech. Rep. PNW-GTR-714. 41 pp.

Pasalodos, M., Ruiz-Peinado, R., Del Río, M., Montero, G. 2015 Shrub biomass accumulation and growth rate models to quantify Carbon stocks and fluxes for the Mediterranean region. Europ J Forest Res 134:537-553

Pearce, H.G.,Anderson, S.A.J.,Clifford, V.R., 2013. A manual for predicting fire behaviour in New Zealand fuels. Scion. Second edition. 73 pp.

Pettinari , A. Chuvieco, E. ,2016. Generation of a global fuel data set using the Fuel Characteristic Classification System. Biogeosciences 13: 2061-2076

Pimont, F., Parsons, R., Rigolot, E.,De Coligny, F.,Dupuy, J.L.,Dreyfus, P., Linn,R.R.,2016. Modeling fuels and fire effects in 3D: Model description and Applications. Env. Mod. Soft. 80:225e244.

Potter, B.E. 2016 Spot fires. En Werth et al. : Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists. U.S.D.A., Forest Service, Pacific Northwest Research Station Gen. Tech. Rep. PNW-GTR-891. Portland, OR. Chapter 7:119-139

Prometheus, S.V., Project: 1999. Management techniques for optimization of suppression and minimization of wildfire effects. System validation, edited by European Comission, Contract Number ENV4-CT98-0716,

Pyne, S.J., Andrews, P.L., Laven, R.D., 1996. Introduction to widland fire. John Wiley and Sons. Inc. USA. 769 pp. Second Edition.

Reeves , M.C, Ryan, K.C, Rollins, M.G. 2009 Spatial fuel data products of the LANDFIRE project. Int.J. Wildland Fire 18: 250-257

Reinhardt E.D., Keane, R. E.,Brown,J.K. 1997 First Order Fire Effects model :FOFEM 4.0 User’s guide .U.S. Department of Agriculture, Forest Service, Intermountain Research Station. Gen. Tech. Rep. PNW-GTR- 344. 65 pp.

Reinhardt E.D., Scott, J.H., Gray, K.L., Keane, R.E., 2006. Estimating canopy fuel characteristics in five conifer stands in the western United States using tree and stand measurements. Can. J. For. Res. 36:2803–2814.

Riaño, D., Chuvieco, E., Salas, J., Palacios-Orueta, A., Batarrika, A., 2002. Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems. Can. J. For. Res. 32: 1301-1315

Riccardi, C.L., Prichard, S.J., Sandberg, D.V., Ottmar, R.D., 2007.Quantifying physical characteristics of wildland fuels using the Fuel Characteristic Classification System (FCCS). Can. J. For. Res. 37, 2413-2420.

Rodriguez y Silva, F., Molina-Martínez, J.R., 2007. Cartografía de modelos de combustible para la defensa contra incendios forestales. 4th International Wildland Fire Conference. Sevilla (España).

Rodriguez y Silva, F., Molina-Martinez, J.R., 2010.Manual técnico para la modelización de la combustibilidad asociada a los ecosistemas forestales mediterráneos. Universidad de Córdoba. 90 pp.

Rodriguez y Silva, F., Molina-Martinez J.R. , 2012.Modeling Mediterranean forest fuels by integrating field data and mapping tools European Journal of Forest Research .Volume 131,: 571-582.

Rodríguez y Silva, F., Molina Martínez, J.R.,Herrera Machuca, M.A, Rodríguez Leal, J.M. 2013. VISUAL-SEVEIF, a tool for integrating fire behavior simulation and economic evaluation of the impact of wildfires. USDA General technical report PSW-GTR-245:163-178.

Rollins, M.G.,2009. LANDFIRE:a nationally consistent vegetation, wildland fire,

and fuel assessment. Int J Wildland Fire 2009, 18: 235–249.

Rothermel, R. C., 1972. A mathematical model for fire spread predictions in wildland fires. Res. Pap. INT-115. 40 pp. USDA Forest Service.

Rothermel, R.C., 1983. How to Predict the Spread and Intensity of Forest and Range Fires. USDA Forest Service. Gen. Techn. Rep. INT-143. Ogden. 161pp.

Rothermel, R., 1991. Predicting behavior and size of crown fires in the northern Rocky Mountains. USDA Forest Service,Intermountain Research Station, Research Paper INT-438, 46 pp.

Ruiz-González, A.D., Álvarez-González, J.G.,2011. Canopy bulk density and canopy base height equations for assessing crown fire hazard in Pinus radiata plantations Can. J. For. Res. 41: 839–850.

Ryan, K.C., Opperman, T.S. 2013 LANDFIRE a national vegetation/fuel data base for use in fuel treatment, restoration and suppression planning. For. Eco. Manag. 294:208-216.

SALTUS ,2001.Fire spotting: mechanism analysis and modelling. EUProject ENV98-CT98-0701. Final report.Probabilistic model.

Sandberg, D.V., Ottmar, R.D., Cushon, G.H., 2001.Characterizing fuels in the 21st Century. Int. J. Wildland Fire, 10. pp: 381-387.

Sando, R.W., Wick, C.H.,1972.A method of evaluating crown fuels in forest stands. USDA Forest Service. Research paper NC-84. 10 pp.

San Miguel-Ayanz ,J., Schulte, E., Schmuck, G., Camia, A., Strobl, P. Liberta, G.,,Giovando, C., Boca, R., Sedano, F., Kempeneers, P. McInerney, D.,Withmore, C., Santos de Oliveira, S., Rodrigues, M., Durrant, T., Corti, P. ,Oehler, F., Vilar, L.,Amatulli, G ,2012.Comprehensive monitoring of wildfires in Europe: the European Forest Fire Information System(EFFIS).In ‘Approaches to Managing Disaster – Assessing Hazards, Emergencies and Disaster Impacts’. (Ed. J Tiefenbacher)

Scott, A.C., Bowman, D.M.J.S., Bond, W.J., Pyne, S.J., Alexander, M. E., 2014.Fire on earth. An introduction. Wiley-Blackwell. 434 pp.

Scott, J.H., Burgan, R.E., 2005.Standard Fire Behaviour Fuel Models: A Comprehensive Set for Use with Rothermel’s Surface Fire Spread Model. USDA Forest Service, Rocky Mountain Research Station. General Technical Report RMRS-GTR-153.

Scott, J.H., Reinhardt, E.D., 2001. Assessing crown fire potential by linking models of surface and crown fire potential. USDA Forest Service, Rocky Mountain Research Station, Research Paper RMRS-29 (Fort Collins, CO).

Scott, J. H. 2006. Comparison of crown fire modeling systems used in three fire management applications. Research Paper RMRS-RP-58, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado, USA.

Sebastián López ,A., San-Miguel-Ayanz, J., Burgan, R., 2002 .Integration of satellite sensor data, fuel type maps and meteorological observations for evaluation of forest fire risk at the panEuropean scale. Int. J. Remo. Sen. 23, 2713-2719.

Serrada, R., 2011. Apuntes de Selvicultura. Fundación Conde del Valle de Salazar. Escuela Universitaria de Ingeniería Técnica Forestal. Ref.- 502 págs. + CD. Madrid. España. ISBN: 978-84-96442-41-2.

Sharples, J.J. (2008) Review of formal methodologies for wind-slope correction of wildfire rate of spread. Int. J. Wildland Fire 17: 179-93.

Sharples, J.R., McRae, and Wilkes,S.,2012.Wind-terrain effects on the propagation of large wildfires in rugged terrain: fire channelling. Int. J. Wildland Fire 21, 599–614.

Sharples, J.J., Simpson, C.C., Evans, J.P.,2013. Examination of wind speed thresholds for vorticity-driven lateral fire spread. 20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013.

Sikkink, P.G., Lutes, D.E. Keane, R.E., 2009. Field guide for identifying Fuel Loading Models. USDA Forest Service, Rocky Mountain Research Station. General Technical Report RMRS-GTR-225.

Sikkink, P.G., Keane, R.E., 2008. A comparison of five sampling techniques to estimate surface fuel loading in montane forests. Int. J. Wildland Fire 17, 363–379. doi:10.1071/WF07003

Stebleton, A., Bunting, S., 2009. Guide for Quantifying Fuels in the Sagebrush Steppe and Juniper Woodlands of the Great Basin. Technical Note 430. Bureau of Land Management, Denver, CO, BLM/ID/PT-09/002+2824. 81pp.

Stephens, S. L., Moghaddas, J. J., Edminster, C., Fiedler, C. E., Haase, S., Harrington, M., Keeley, J. E., Knapp, E. E., McIver, J. D., Metlen, K., Skinner, C. N. and Youngblood, A., 2009. Fire treatment effects on vegetation structure, fuels, and potential fire severity in western U.S. forests. Eco. App.9: 305–320

Thomas, P. H., 1963. The size of flames from natural fires. In: Proceedings, ninth symposium (international) on combustion; 1962 August 27-September 1; Ithaca, NY. New York: Academic Press: 844-859

Tuokiloglou, P, Eftychidis, G. ,Gitas, G, Tompoulidou, M., 2013. ArcFuel methodology for mapping forest fuels in Europe. Proceeding of SPIE. The Intenational Society of Optical Engineering. August 2013. DOI:10.1117/12.2028213.

Van Wagner, C.E., 1977.Conditions for the start and spread of crown fire. Can.J. For. Res. 7: 23-34.

Van Wagner, C.E., 1989. Prediction of crown fire behaviour in conifer stands. Proceedings at the 10th Conference on Fire and Forest Meteorology, 1989, Otawa, Canada. Can.J. For, Res:, 207-213

Vega, J.A., Cuiñas, P., Fontúrbel, M.T.,Pérez-Gorostiaga, P., Fernández, C., 1998. Predicting fire behaviour in Galician (NW Spain) shrubland fuel complexes. In Proc. 3rd Intern. Conf. Forest Fire Research y 14th Fire and Forest Meteorology Conf., Viegas, D.X. (ed.), ADAI: 713-728

Vega, J.A., Cuiñas, P., Fontúrbel, M.T., Pérez-Gorostiaga, P., Fernández, C., 2009 . Modelos de predicción. En: La defensa contra incendios forestales: fundamentos y experiencias. Vélez, R. (coord.). McGraw Hill, Madrid. España: 211-216

Vega, J.A., Pérez-Gorostiaga, P., Cuiñas, P., Fontúrbel, M.T., Fernández, C., 2001. Manual de queimas prescritas para matogueiras de Galicia. Colección Técnica Medio Ambiente. Consellería de Medio Ambiente. Xunta de Galicia. 173+64 pp.

Vega, J.A., Fernandes, P., Cuiñas, P., Fonturbel, T., Pérez, J.R., Loureiro, C., 2006. Fire spread analysis of early summer field experiments in shrubland fuel types of northwestern Iberia. In “Proceedings of the V International Conf Forest Fire Research”. Figueira da Foz, Portugal. For. Eco. Manage. Vol. 234S.S102: 11 pp. ISSN 0378-1127

Vega-Nieva, D., Valero, E., Picos, J., Jiménez, E., 2015. Modeling above and belowground biomass of planted and coppiced <Eucalyptus globulus stands in NW Spain. Ann. For. Sci. 72: 967-980

Vega, J.A., Fernandez, C., Fonturbel,T. 2005.Throughfall,runoff and soil erosion after prescribed burning in gorse shrubland in Galicia(NW Spain. Land Degrad Develop. 16: 37-51

Vega , J.A. Cuiñas, P., fonturbel, T, Perez, J.R., Vega, D., Perez-Gorostiaga, P.,Fernandez, C ., Jimenez, E.2007.Comparing the effect of polyphosphate and foam addition to water on fire propagation in shrubland. Proceedings of the 4th Int Wildfire Conference. Sevilla 13-17 May 2007: 11 pp.

Vega, J.A.; Jiménez. E. Dupuy, J.L.; Linn, R., 2012, Effects of flame interaction on the rate of spread of heading and suppression fires in shrubland experimental fires. Int. J. Wildland Fire. 21 (8). 950-960

Vega, J.A., Bara, S., Gil, M.C., 1985. Algunos efectos a corto plazo del fuego prescrito en pinares de Galicia. En Estudios sobre prevención y efectos ecológicos de incendios forestales. Instituto Nacional para la conservación de la naturaleza: 103-145.

Vega , J.A., Cuiñas, P., Bará, S., Fontúrbel, M.T., Santos, J.A., Rozados, M.J., Alonso, M.,Beloso, M.C., Calvo, E. 1993 Forest fire prevention through prescribed burning: experimental study on fire effects on litter and soil. Contract CE/STEP-CT-90-0087. Final Report. 268 pp.

Vega , J.A., Cuiñas, P., Fontúrbel, M.T., Fernández, C. 2000. Planificar la prescripción para reducir combustibles y disminuir el impacto sobre el suelo en las quemas prescritas. Cuadernos de la S.E.C.F. Nº 9: 189- 198

Vélez, R. (Coord.) 2009. La Defensa contra incendios forestales. Fundamentos y experiencias. McGraw-Hill, Madrid.

Viegas D.X., 2005 A mathematical model for forest fires blowup. Combust. Sci. Tech. 177. 27–51

Viegas D.X. 2006.Parametric study of an eruptive fire behaviour model. Int. J. Wildland Fire 15. 169–177

Viegas DX, Simeoni A 2011 Eruptive behaviour of forest fires. Fire. Technol. 47(2): 303–320.

Vihnanek, R E., Balog, C. S., Wright, C. S., Ottmar, R. D., Kelly, J. W., 2009. Stereo photo series for quantifying natural fuels. Volume XII: Post-hurricane fuels in forests of the Southeast United States. Gen. Tech. Rep. PNW-GTR-803. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 53 pp.

Wallace, L. Gupta, V., Reinke, K., Jones, S. 2016. An Assessment of pre- and post fire near surface fuel hazard in an Australian dry sclerophyll forest using point cloud data captured using a terrestrial laser scanner. Remote Sens. 8: 679

Werth, P. A., Potter, B. E., Alexander, M E., Clements, C B., Cruz,M. G., Finney, M. A., Forthofer, J. M., Goodrick, S. L., Hoffman,C., Jolly, W. M., McAllister, S. S. Ottmar, R. D., Parsons, R. A. 2016. Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists. U.S.D.A., Forest Service, Pacific Northwest Research Station Gen. Tech. Rep. PNW-GTR-891. Portland, OR:. 258 pp.

Weise, D. R., Wright, C.S., 2014, Wildland fire emissions, carbon and climate: Characterizing wildland fuels. For. Eco. Manage. 317: 26-40.

Wright ,C.S., Ottmar, R.D., Vihnanek, R.E.,2006. Stereo photo series for quantifying natural fuels. Volume VIII: hardwood, pitch pine, and red spruce/balsam fir types in the north-eastern United States. National Wildfire Coordinating Group, National Interagency Fire Center PMS 840. (Boise, ID)

Wright,C.S., Ottmar, R.D., Vihnanek, R.E., 2010. Critique of Sikkink and Keane’s comparison of surface fuel sampling techniques Int. J. Wildland Fire 19, 374–376

Wright, C.S., Vihnanek, R. E., Restaino, J. C., Dvorak, J. E., 2012. Photo series for quantifying natural fuels. Volume XI: eastern Oregon sagebrush-steppe and northern spotted owl nesting habitat in the Pacific Northwest. Gen. Tech. Rep. PNW-GTR-878. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 85 pp.

Wright, C. S., Vihnanek, R. E., 2014. Stereo photo series for quantifying natural fuels. Volume XIII: Grasslands, oak-bay woodlands, and eucalyptus forests in the East Bay of California. Gen. Tech. Rep. PNW-GTR-893. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 39 pp.