{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T11:45:12Z","timestamp":1774439112568,"version":"3.50.1"},"reference-count":57,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T00:00:00Z","timestamp":1558137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study shows a simplified approach for calculating emissions associated with forest fires in Mexico, based on different satellite observation products: the biomass, burnt area, emission factors, and burning efficiency. Biomass loads were based on a Mexican biomass map, updated with the net primary productivity products. The burning efficiency was estimated from a Random Forest Regression (RFR) model, which considered the fuel, weather and topographical conditions. The burned areas were the downloaded Maryland University MCD64c6 product. The emission factors were obtained from well-known estimations, corrected by a dedicated US Forest Service and Mexican campaign. The uncertainty was estimated from an integrative method. Our method was applied to a four-year period, 2011\u20132014, in three Mexican ecoregions. The total burned in the study region was 12,898 km2 (about 4% of the area), producing 67.5 (\u00b120) Tg of CO2. Discrepancies of the land cover maps were found to be the main cause of a low correlation between our estimations and the Global Emission Database (GFED). The emissions were clearly associated to precipitation patterns. They mainly affected dry and tropical forests (almost 50% of all emissions). Six priority areas were identified, where prevention or mitigation measures must be implemented.<\/jats:p>","DOI":"10.3390\/rs11101185","type":"journal-article","created":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T11:05:07Z","timestamp":1558350307000},"page":"1185","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Spatial Distribution of Forest Fire Emissions: A Case Study in Three Mexican Ecoregions"],"prefix":"10.3390","volume":"11","author":[{"given":"Mar\u00eda Isabel","family":"Cruz-L\u00f3pez","sequence":"first","affiliation":[{"name":"National Commission for the Knowledge and Use of Biodiversity, Liga Perif\u00e9rico-Insurgentes Sur 4903, Col. Parques del Pedregal, Alcald\u00eda de Tlalpan C.P. 14010, Cd. Mexico"}]},{"given":"Lilia de Lourdes","family":"Manzo-Delgado","sequence":"additional","affiliation":[{"name":"Institute of Geography, UNAM, Investigaci\u00f3n Cient\u00edfica, Ciudad Universitaria, Alcald\u00eda de Coyoc\u00e1n, Cd. M\u00e9xico C.P. 04510, Mexico"}]},{"given":"Ra\u00fal","family":"Aguirre-G\u00f3mez","sequence":"additional","affiliation":[{"name":"Institute of Geography, UNAM, Investigaci\u00f3n Cient\u00edfica, Ciudad Universitaria, Alcald\u00eda de Coyoc\u00e1n, Cd. M\u00e9xico C.P. 04510, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5618-4759","authenticated-orcid":false,"given":"Emilio","family":"Chuvieco","sequence":"additional","affiliation":[{"name":"University of Alcala de Henares, Colegios 2, Alcal\u00e1 de Henares, C.P. 28801 Madrid, Spain"}]},{"given":"Juli\u00e1n Alberto","family":"Equihua-Ben\u00edtez","sequence":"additional","affiliation":[{"name":"National Commission for the Knowledge and Use of Biodiversity, Liga Perif\u00e9rico-Insurgentes Sur 4903, Col. Parques del Pedregal, Alcald\u00eda de Tlalpan C.P. 14010, Cd. Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,18]]},"reference":[{"key":"ref_1","unstructured":"Houghto, J.T., Jekins, G.J., and Ephraums, J.J. (1990). Greenhouse Gases and Aerosol. Climate Change the IPCC Scientific Assessment, Cambridge University Press."},{"key":"ref_2","unstructured":"Mart\u00ednez, J., and Fern\u00e1ndez, A. (2004). \u00bfQu\u00e9 es el efecto invernadero?. Cambio Clim\u00e1tico: Una Visi\u00f3n Desde M\u00e9xico, SEMARNAT-INE."},{"key":"ref_3","unstructured":"Hern\u00e1ndez de la Torre, B., and Gaxiola, G. (2007). Principios generales del ciclo del carbono en el oc\u00e9ano. Carbono en Ecosistemas Acu\u00e1ticos de M\u00e9xico, SEMARNAT-INE-CICESE."},{"key":"ref_4","unstructured":"Organizaci\u00f3n Meteorol\u00f3gica Mundial (2016). Estado del Clima Mundial en 2011\u20132015, Organizaci\u00f3n Meteorol\u00f3gica Mundial."},{"key":"ref_5","unstructured":"Csiszar, I., Arino, O., Geraci, R., Giglio, L., Goldammer, J., De Groot, W., Justice, C., Kondragunta, S., Prins, E., Sessa, R., and Tansey, K. (2009). Fire Disturbance Assessment of the Status of the Development of the Standards for the Terrestrial Essential Climate Variables, GTOS."},{"key":"ref_6","unstructured":"GCOS-World Meteorological Organization (2003). The Second Report on the Adequacy of the Global Observing Systems for Climate in Support of the UNFCC\u2014Executive Summary, World Meteorological Organization."},{"key":"ref_7","unstructured":"Keeling, R. (2006). Biomass Burning: The Cycling of Gases and Particulates from the Biosphere to the Atmosphere. The Atmosphere, Elsevier."},{"key":"ref_8","unstructured":"Whelan, R.J. (1995). The Ecology of Fire, Cambridge University Press."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"849","DOI":"10.5194\/bg-6-849-2009","article-title":"Annual and Diurnal African Biomass Temporal Dynamics","volume":"6","author":"Roberts","year":"2009","journal-title":"Biogeoscience"},{"key":"ref_10","unstructured":"Bytnerowicz, A., Arbaugh, M., Riebau, A., and Andersen, C. (2009). Impacts of Vegetation Fire Emissions on the Environment, Human Health and Security: A Global Perspective. Wildland Fires and Air Pollution, Elseiver Science."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/BF00137988","article-title":"Estimates of Gross and Net Fluxes of Carbon between the Biosphere and the Atmosphere from Biomass Burning","volume":"2","author":"Seiler","year":"1980","journal-title":"Clim. Chang."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2005JD006318","article-title":"Retrieval of biomass combustion rated and totals from fires radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release","volume":"110","author":"Wooster","year":"2005","journal-title":"J. Geophys. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"697","DOI":"10.5194\/essd-9-697-2017","article-title":"Global fire emissions estimates during 1997\u20132016","volume":"9","author":"Randerson","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"527","DOI":"10.5194\/bg-9-527-2012","article-title":"Biomass burning emission estimated with a global fire assimilation system based on observe fire radiative power","volume":"9","author":"Kaiser","year":"2012","journal-title":"Biogeosciences"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3419","DOI":"10.1016\/j.atmosenv.2006.02.010","article-title":"Estimating emissions from fires in North America for air quality modeling","volume":"40","author":"Wiedinmyer","year":"2006","journal-title":"Atmos. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1680","DOI":"10.1111\/j.1365-2486.2005.001024.x","article-title":"Seasonal patterns in biomass burning emissions from southern African vegetation fires for the year 2000","volume":"11","author":"Korontzi","year":"2005","journal-title":"Glob. Chang. Biol."},{"key":"ref_17","unstructured":"Anaya Acevedo, J.A. (2009). Estimaci\u00f3n Mensual de Emisiones por Biomasa Quemada para Colombia Basado en Im\u00e1genes de Sat\u00e9lite. [Ph.D. Thesis, Universidad de Alcal\u00e1]."},{"key":"ref_18","unstructured":"CONAFOR (2015). Programa Nacional de Prevenci\u00f3n de Incendios forestales, Comisi\u00f3n Nacional Forestal."},{"key":"ref_19","unstructured":"Olgu\u00edn, M., Rojas, F., Maldonado, V., Paz, F., Etchever, J., Cruz, C.O., and Abad, J.A. (2006). Actualizaci\u00f3n del Inventario Nacional de Emisiones de Gases de Efecto Invernadero 1990\u20132006 en la Categor\u00eda de Agricultura, Silvicultura y otros Usos de la Tierra, Instituto de Ecolog\u00eda."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2014\/958457","article-title":"Estimation of Total Yearly CO2 Emissions by Wildfires in Mexico during the Period 1999\u20132010","volume":"2014","author":"Bautista","year":"2014","journal-title":"Adv. Meteorol."},{"key":"ref_21","unstructured":"CONAFOR (2014). Propuesta del Nivel de Referencia de las Emisiones Forestales de M\u00e9xico, Comisi\u00f3n Nacional Forestal-SEMARNAT."},{"key":"ref_22","unstructured":"INECC\u2014SEMARNAT (2015). Primer Informe Bienal de Actualizaci\u00f3n ante la Convenci\u00f3n Marco de las Naciones Unidas sobre el Cambio Clim\u00e1tico, INECC\/SEMARNAT."},{"key":"ref_23","unstructured":"INEGI-CONABIO-INE (2008). Ecorregiones Terrestres de M\u00e9xico, INEGI-CONABIO-INE. Escala 1:1,000,000."},{"key":"ref_24","unstructured":"(2014, August 22). Sistema de Alerta Temprana de Incendios Forestales. Available online: http:\/\/incendios.conabio.gob.mx\/."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Chuvieco, E. (2008). Satellite Observation of Biomass Burning. Earth Observation of Global Change, The Role of Satellite Remote Sensing in Monitoring the Global Environment, Springer.","DOI":"10.1007\/978-1-4020-6358-9"},{"key":"ref_26","unstructured":"Alianza MREDD (2013). Mapa y Base de Datos sobre la Distribuci\u00f3n de la Biomasa a\u00e9rea de la Vegetaci\u00f3n Le\u00f1osa en M\u00e9xico, Woods Hole Research Center, USAID, CONAFOR, CONABIO, Proyecto M\u00e9xico-Noruega. Versi\u00f3n 1.0."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5559","DOI":"10.3390\/rs6065559","article-title":"A National Detailed Map of Forest Aboveground Carbon Stocks in Mexico","volume":"6","author":"Cartus","year":"2014","journal-title":"Remote Sens."},{"key":"ref_28","unstructured":"Morf\u00edn R\u00edos, J.E., Michael, J.M., Gonz\u00e1lez, R., Carrillo, O., Mayorga, R., Rangel, L., Orozco, J., Rodr\u00edguez, G., and Guerrero, G. (2015). Protocolo Estimaciones de las Reservas del Carbono en la Biomasa Forestal en M\u00e9xico, Gobierno de Noruega Ministerio de Asuntos Internacionales\u2014CONAFOR\u2014PNUD, FAO."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Lieth, H., and Whittaker, R.H. (1975). Primary Production of the Major Vegetation Units of the World. Primary Productivity of the Biosphere, Springer.","DOI":"10.1007\/978-3-642-80913-2"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Lieth, H., and Whittaker, R.H. (1975). Methods of Assessing Terrestrial Productivity. Primary Productivity of the Biosphere, Springer.","DOI":"10.1007\/978-3-642-80913-2"},{"key":"ref_31","unstructured":"(2015, March 11). MODIS GPP\/NPP Project (MOD17). Available online: http:\/\/www.ntsg.umt.edu\/project\/modis\/mod17.php."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ramo, R., and Chuvieco, E. (2017). Developing a Random Forest Algorithm for MODIS Global Burned Area Classification. Remote Sens., 9.","DOI":"10.3390\/rs9111193"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.rse.2012.04.021","article-title":"Generation and analysis of the 2005 land cover map for Mexico Using 250m Modis data","volume":"123","author":"Colditz","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_34","unstructured":"Cervera Taboada, A. (2009). Implementaci\u00f3n de un Modelo para Estimar la Humedad del Combustible Muerto Basado en datos de Sensores Remotos. [Ph.D. Thesis, Universidad Nacional Aut\u00f3noma de M\u00e9xico]."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1175\/1520-0450(1967)006<0203:OTCOSV>2.0.CO;2","article-title":"On the computation of saturation vapor pressure","volume":"6","author":"Murray","year":"1967","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_36","first-page":"119","article-title":"Una Aproximaci\u00f3n para estimar la eficiencia del quemado usando productos satelitales, caso de estudio: M\u00e9xico","volume":"21","year":"2018","journal-title":"Geofocus"},{"key":"ref_37","unstructured":"Roy, D., Boschetti, L., and Justice, C.O. (2007, January 13\u201318). The Global MODIS Burned Area Products. Proceedings of the IV Conferencia internacional sobre incendios forestales, Sevilla, Espa\u00f1a."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.rse.2005.04.007","article-title":"Prototyping a Global Algorithm for Systematic Fire-Affected Area Mapping Using MODIS Time Series Data","volume":"97","author":"Roy","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.rse.2008.10.006","article-title":"An Active-fire Based Burned Area Mapping Algorithm for the MODIS Sensor","volume":"113","author":"Giglio","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_40","unstructured":"Boschetti, L., Roy, D.P., and Justice, C.O. (2019, May 18). International Global Burned Areas Satellite Products Validation Protocol. Part I Production and Standardization of Validation Reference Data. Available online: https:\/\/bit.ly\/2Es6rqT."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1029\/2000GB001382","article-title":"Emission of Trace Gases and Aerosols from Biomass Burning","volume":"15","author":"Andreae","year":"2001","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"6787","DOI":"10.5194\/acp-11-6787-2011","article-title":"Trace Gas and Particle Emissions from Open Biomass in Mexico","volume":"11","author":"Yokelson","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.foreco.2013.05.045","article-title":"Wildland Fire Emissions, Carbon and Climate: Emission Factors","volume":"317","author":"Urbanski","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_44","unstructured":"Monni, S., Herold, M., Grassi, G., Brown, S., and McRoberts, R.E. (2016). Estimation of Uncertainties. A Sourcebook of Methods and Procedures for Monitoring and Reporting Anthropogenic Greenhouse Gas Emissions and Removals Associated with Deforestation, Gains and Losses of Carbon Stocks in Forest Remaining Forest, and Forestation, GOFC-GOLD, Land Cover Project Office Wageningen University."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Congalton, R.G., and Green, K. (2008). Assessing the Accuracy of Remotely Senses Data, CRC Press Taylor & Francis Group.","DOI":"10.1201\/9781420055139"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1002\/jgrg.20042","article-title":"Analysis of Daily, Monthly and Annual Burned Area Using the Fourth-Generation Global Fire Emissions Database (GFED4)","volume":"118","author":"Giglio","year":"2013","journal-title":"J. Geophys. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2012JG002128","article-title":"Global Burned Area and Biomass Burning Emissions from Small Fire","volume":"117","author":"Randerson","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"11707","DOI":"10.5194\/acp-10-11707-2010","article-title":"Global Fire Emissions and the Contribution of Deforestation, Savanna, Forest, Agricultural, and Peat Fires (1997\u20132009)","volume":"10","author":"Randerson","year":"2010","journal-title":"Atmos. Chem. Phys."},{"key":"ref_49","first-page":"983","article-title":"Quantile Regression Forest","volume":"7","author":"Meinshausen","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"ref_50","unstructured":"CONAFOR (2014). Manual de Informaci\u00f3n de Resultados en Incendios Forestales, Comisi\u00f3n Nacional Forestal, Zapopan."},{"key":"ref_51","unstructured":"(2017, May 25). Monitoreo de sequ\u00eda de Am\u00e9rica del Norte 2011. Available online: http:\/\/smn.cna.gob.mx\/es\/climatologia\/monitor-de-sequia\/monitor-de-sequia-de-america-del-norte."},{"key":"ref_52","unstructured":"(2017, May 25). Monitoreo de sequ\u00eda de Am\u00e9rica del Norte 2012. Available online: http:\/\/smn.cna.gob.mx\/es\/climatologia\/monitor-de-sequia\/monitor-de-sequia-de-america-del-norte."},{"key":"ref_53","unstructured":"(2017, March 24). Precipitaci\u00f3n a Nivel Nacional y por Entidad Federativa. Available online: http:\/\/smn.cna.gob.mx\/tools\/DATA\/Climatolog%C3%ADa\/Pron%C3%B3stico%20clim%C3%A1tico\/Temperatura%20y%20Lluvia\/PREC\/."},{"key":"ref_54","unstructured":"Rodr\u00edguez Trejo, D.A. (2014). Incendios de Vegetaci\u00f3n, su Ecolog\u00eda, Manejo e Historia, Biblioteca b\u00e1sica de agricultura."},{"key":"ref_55","unstructured":"Recondeo-Gonz\u00e1lez, C., and y Pend\u00e1s-Molina, E. (2011). Estimaci\u00f3n de la eficiencia del quemado a partir de la severidad de quemado. Teledetecci\u00f3n, Bosque y Cambio Clim\u00e1tico, Proceedings of XIV Congreso de la Asociaci\u00f3n Espa\u00f1ola de Teledetecci\u00f3n, Universidad de Oviedo, Espa\u00f1a, 21 al 23 de septiembre de 2011, Asociaci\u00f3n Espa\u00f1ola de Teledetecci\u00f3n."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.rse.2015.01.005","article-title":"Comparing the Accuracies of Remote Sensing Global Burned Area Products using Stratified Random Sampling and Estimation","volume":"160","author":"Padilla","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_57","unstructured":"Jardel, E. Personal communication."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/10\/1185\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:53:22Z","timestamp":1760187202000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/10\/1185"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,18]]},"references-count":57,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,5]]}},"alternative-id":["rs11101185"],"URL":"https:\/\/doi.org\/10.3390\/rs11101185","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,18]]}}}