Referencias Nº3

Referencias Nº3 Junio 2021

Pág 21 – Incendios por rayo en Guadalajara, España. ¿Una gestión alternativa?


Acebrón M.L. 2017. Tipificación de los incendios forestales en la provincia de Guadalajara (Castilla-La Mancha). Foresta 67: 32-39.
Calderón D. 2016. Modelización de la ocurrencia de incendios forestales causados por rayos en Castilla-La Mancha. TFM (MasterFuego).
Domènech R., Piqué M., Larrañaga A., Beltrán M. y Castellnou M. 2018. El papel del fuego en la conservación del hábitat de los bosques de pino laricio (Pinus nigra Arn.). Publicación: Life Pinassa. Edita: Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC) y Bombers de la Generalitat de Catalunya.
Espinosa J., Rodríguez de Rivera O., Madrigal J., Guijarro M. y Hernando C. 2020. Use of Bayesian modelling to determine the effects of meteorological conditions, prescribed burn season, and tree characteristics on litterfall of Pinus nigra and Pinus pinaster stands. Forests 11(9): 1006.
Fulé P., Ribas M., Gutiérrez E., Vallejo R. & Kaye M. 2008. Forest structure and fire history in an old Pinus nigra forest, eastern Spain. Forest Ecology and Management 255: 1234-1242.
Gómez Cantero J., Rodríguez-Torres A., Bustillo Holgado E. y Rodríguez Bustamante P. (Coord.). 2018. Estudio sobre Efectos Constatados y Percepción del Cambio Climático en el Medio Rural de Castilla-La Mancha. Propuestas de Medidas de Adaptación. Junta de Comunidades de Catilla-La Mancha.
JCCM. 2020. FIDIAS Sistema de Información de Incendios Forestales. http://agricultura.jccm.es/fidias08/consulta/forms/fidif001.php. @Plan_INFOCAM.
Keeley J., Bond W., Bradstock R., Pausas J. & Rundel P. 2012. Fire in Mediterranean Ecosystems; Ecology, Evolution and Management. Cambridge University Press, Cambridge.
Myers R. 2006. Convivir con el Fuego – Manteniendo los ecosistemas y los medios de subsistencia mediante el Manejo Integral del Fuego. The Nature Conservancy, Arlington.
Núñez Mora, J.A. Riesco Martín, J. y Mora García, M.A. 2019. Climatología de descargas eléctricas y días de tormenta en España. AEMET.
Pacheco Angulo, C. E., Aguado Suárez, I. y Nieto Solana, H. 2009. “Análisis de ocurrencia de incendios forestales causados por rayo en la España peninsular”, GeoFocus (Artículos), nº 9, p. 232-249.
Pausas, J. 2012. Incendios Forestales. CSIC.
Pausas, J. & Bond, W.J. 2020. On the Three Major Recycling Pathways in Terrestrial Ecosystems. Trends in Ecology & Evolution 35/19: 767-775.
Palau J. 2020. Rewilding Iberia. Lynx Ediciones, Barcelona.
Ramírez, J. Monedero, S. & Buckley, D. 2011. New approaches in fire simulations analysis with Wildfire Analyst. The 5TH International Fire Conference. Sun City, South Africa.
Scott, J. & Burgan, R. 2005. Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. Gen. Tech. Rep. RMRS-GTR-153. U.S. Department of agriculture, Forest Service, Rocky Mountain Research Station. Fort Collins, CO.
SIAR. 2019. Servicio de Información Agroclimática para el Regadío. MAPA.
Tecnosylva y Fora. 2016. Clasificación de modelos de combustible: Memoria metodológica. Para Geacam y JCCM, NP.

Pág 24 – Diseño de áreas de protección para viviendas según umbrales de calor

Anderson H.E. 1968. Fire spread and flame shape. Fire technology, 4: 51-58. Bagster D. F., Pitblado R. M. 1989. Thermal hazards in the process industry. Chemical Engineering Progress, 69-75. Butler B.W. 2014. Wildland firefighter safety zones: a review of past science and summary of future needs. International Journal of Wildland Fire. Butler B.W., Cohen J.J. 1998. Firefighter Safety Zones: a theorical Model Bases on Radiative Heating. International Journal Wildland Fire, 8(2): 73-77. Butler B.W., Cohen J.J. 2000. Field verification of a firefighter safety zone model in: Proceedings of the 2000 International Wildfire Safety Summit, pp. 54-61. Casal J., Montiel H., Planas E., Vilchez J.A. 1999. Análisis de riesgo en instalaciones industriales. Ediciones UPC. Barcelona. Cohen J. D. (2000). Preventing disaster: home ignitability in the wildland-urban interface. Journal of Forestry, 98 (3):15-21. Cohen J. and Butler B. 1996. Modeling potential structure ignitions from flame radiation exposure with implications for wildland/Urban interface fire management.13th Fire and Forest Meteorology Conference. Lorne. Australia. Countryman, C.M. 1974. Can southern California wildland conflagrations be stopped? Gen. Tech. Rep. PSW-7. Berkeley, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station. 11p. Denham M. 2007. Predicción de incendios forestales basada en algoritmos evolutivos guiados por los datos. Memoria en el programa de Doctorado en Informática “Arquitectura de Ordenadores y Procesamiento paralelo”. 2007 Eisenberg, N.A. 1975. Vulnerability Model. A simulation system for assessing damage resulting from marine spills. US Coast Guard, Enviro Control Inc. (Washington, DC) Foote E.I. 1994. Structure survival on the 1990 Santa Barbara “Paint” fire: A retrospective study of urban-wildland interface fire hazard mitigation factors. MS thesis, University of California at Berkeley. Frankman D, Webb BW, Butler BW, Jimenez D, Forthofer JM, Sopko P, Shannon KS, Hiers JK, Ottmar RD, 2013.Measurements of convective and radiative heating in wildland fires. International Journal of Wildland Fire 22, 157–167. doi:10.1071/WF11097 Donnelly M.K., Davis W.D., Lawson R., and Selepak M.J. 2006. Thermal Environment for Electronic Equipment Used by First Responders. NIST Technical Note 1474, National Institute of Standards and Technology, Gaithersburg, Maryland. Manzello S.L. Suzuki S. and Hayashi, Y. 2006. Enabling the study of structure vulnerabilities to ignition from wind driven firebrand showers: A summary of experimental results. Fire Safety Journal, Volume 54, 2012, pp. 181-196 Mudan K.S.; (1984). Thermal radiation hazards from hydrocarbon pool fires. Prog. Energy Combust. Sci., 10, 59-80. Rossi JL, Simeoni A, Moretti B, Leroy-Cancellieri V (2011) An analytical model based on radiative heating for the determination of safety distances for wildland fires. Fire Safety Journal 46, 520–527. doi:10.1016/J.FIRESAF.2011.07.007 Sánchez J.F., González Ferradas E. Díaz F., Palacios D. 2009. New Probit equations for the calculation of thermal effects on humans. Process Safety and Environmental Protection 88(2):109-113 Utech H. 1973. Status Report on Research Programs for Firefighters Protective Clothing. In 45th Annual Fire Department Instructors Conference Proceedings, pages 156–166. International Society of Fi re Service Instructors. Zárate L., Arnaldos J. and Casal J. 2008. Establishing safety distances for wildland fires. Fire Safety Journal. 43, pp. 565-575.

Pág 27 – Inflamabilidad de especies chaqueñas, Argentina


Argañaraz, J. P., Landi, M. A., Bravo, S., Gavier-Pizarro, G., Scavuzzo, C. M., y Bellis, L. M. (2016). Estimation of Live Fuel Moisture Content from MODIS Images for Fire Danger Assessment in Southern Gran Chaco.IEEE Journal of SelectedTopics in AppliedEarthObservations and RemoteSensing, 9(12), 5339–5349.
Bravo, S., Kunst, C., Grau, R., &Aráoz, E. (2010). Fire and rainfall relationships in Argentine Chaco savannas. Journal of AridEnvironments, 74(10), 1319–1323. https://doi.org/10.1016/j.jaridenv.2010.04.010
Bravo, S., Bogino, S., Leiva, M., Cendoya, M. A., Kunst, C., &Biurrun, F. (2021). Wood anatomy, fire wounds and dendrochronological potential of Prosopispugionata Burkart (Fabaceae) in arid Argentine Chaco. IAWA Journal, 37(1), 1–10. https://doi.org/10.1163/22941932-bja10056
Jaureguiberry, P., Bertone, G., y Díaz, S. (2011).Device for the standard measurement ofshoot flammability in the field. Austral Ecology, 36(7), 821–829. https://doi.org/10.1111/j.1442-9993.2010.02222
Kunst, C., Ledesma, R., Bravo, S., Defosse, G., Godoy, J., y Navarrete, V. (2012).Comportamiento del fuego en un pastizal del sitio ecológico media loma, región chaqueña occidental (Argentina). Revista de InvestigacionesAgropecuarias, 38(1), 70–77.
Landi, M. A., Di Bella, C. M., Bravo, S. J., &Bellis, L. M. (2020). Structural resistance andfunctional resilience of the Chaco forest to wildland fires: an approach with MODIS time series. Austral Ecology, September. https://doi.org/10.1111/aec.12977
Madrigal, J.; Hernando C., Guijarro M., Díez C., Marino E., De Castro A.J. (2009). Evaluation of Forest Fuel Flammability and Combustion Properties with an Adapted Mass Loss Calorimeter Device”. Journal of Fire Sciences 27 (4): 323-342.
Pérez-Harguindeguy et al. 2013: Pérez-Harguindeguy, N., Diaz, S., Garnier, E., Lavorel, S., Poorter, H., Jaureguiberry, P., …Cornelissen, J. H. C. (2013). New Handbook for standardized measurement of plantfunctional traits worldwide. Australian Journal of Botany, 61(34), 167–234. https://doi.org/http://dx.doi.org/10.1071/BT12225
Santacruz-García, A.C.; Bravo, S.; del Corro, F.; Ojeda, F. (2019).A comparative assessment of plant flammability through a functional approach: The case of woody species from Argentine Chaco region. Austral. Ecol. 44, 1416–1429.

Pág 58 – La fuente de la eterna juventud


Carta de Juan Ponce de León, Puerto Rico el 15 de febrero de 1521. Portal de archivos españoles en red (PARES).
¿Qué sabemos de incendios forestales? Juli G. Pausas. CSIC.
Distribution of Longleaf pine in the Southeastern United States and its association with climatic conditions. Zhen Sui, Zhaofei Fan, Michael K. Crosby, and Xingang Fan.
Field Guide to the Disney Wilderness Preserve. An Introduction to Familiar Plants & Animals. Mindick/Kavanagh/Leung. The Nature Conservancy.
Ecological Effects of Prescribed Fire Season: A Literature Review and Synthesis for Managers. Eric E. Knapp, Becky L. Estes, and Carl N. Skinner. USDA, 2009.
Prescribed Fire in the Southern Ecosystems. USDA, 2012.
Longleaf, Far as the eye can see. A New Vision of North America’s Richest Forest Bill Finch, Beth Maynor Young, Rhett Johnson, & John C. Hall.
Longleaf Pine-Dependent Industries,” by Richard Porcher, The Citadel, Charleston, S.C., 1985.
Fire regimes in subtropical South Florida. James R. Snyder
Noss, R.F.; LaRoe, E.T.; Scott, J.M. 1995. Endangered ecosystems of the United States: a preliminary assessment of loss and degradation.