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dc.contributor.authorBriones Herrera, Carlos Iván
dc.contributor.authorVega Nieva, Daniel José
dc.contributor.authorMonjarás Vega, Norma Angélica
dc.contributor.authorFlores Medina, Favián
dc.contributor.authorLópez Serrano, Pablito Marcelo
dc.contributor.authorCorral-Rivas, José Javier
dc.contributor.authorCarrillo Parra, Artemio
dc.contributor.authorPulgarín Gámiz, Miguel Ángel
dc.contributor.authorAlvarado Celestino, Ernesto
dc.contributor.authorGonzález Cabán, Armando
dc.contributor.authorArellano Pérez, Stéfano
dc.contributor.authorÁlvarez González, Juan Gabriel
dc.contributor.authorRuiz González, Ana Daría
dc.contributor.authorJolly, William Mathew
dc.identifier.citationBriones-Herrera, C.I.; Vega-Nieva, D.J.; Monjarás-Vega, N.A.; Flores-Medina, F.; Lopez-Serrano, P.M.; Corral-Rivas, J.J.; Carrillo-Parra, A.; Pulgarin-Gámiz, M.Á.; Alvarado-Celestino, E.; González-Cabán, A.; Arellano-Pérez, S.; Álvarez-González, J.G.; Ruiz-González, A.D.; Jolly, W.M. Modeling and Mapping Forest Fire Occurrence from Aboveground Carbon Density in Mexico. Forests 2019, 10, 402
dc.description.abstractUnderstanding the spatial patterns of fire occurrence is key for improved forest fires management, particularly under global change scenarios. Very few studies have attempted to relate satellite-based aboveground biomass maps of moderate spatial resolution to spatial fire occurrence under a variety of climatic and vegetation conditions. This study focuses on modeling and mapping fire occurrence based on fire suppression data from 2005–2015 from aboveground biomass—expressed as aboveground carbon density (AGCD)—for the main ecoregions in Mexico. Our results showed that at each ecoregion, unimodal or humped relationships were found between AGCD and fire occurrence, which might be explained by varying constraints of fuel and climate limitation to fire activity. Weibull equations successfully fitted the fire occurrence distributions from AGCD, with the lowest fit for the desert shrub-dominated north region that had the lowest number of observed fires. The models for predicting fire occurrence from AGCD were significantly different by region, with the exception of the temperate forest in the northwest and northeast regions that could be modeled with a single Weibull model. Our results suggest that AGCD could be used to estimate spatial fire occurrence maps; those estimates could be integrated into operational GIS tools for assistance in fire danger mapping and fire and fuel management decision-making. Further investigation of anthropogenic drivers of fire occurrence and fuel characteristics should be considered for improving the operational spatial planning of fire management. The modeling strategy presented here could be replicated in other countries or regions, based on remote-sensed measurements of aboveground biomass and fire activity or fire suppression records.
dc.description.sponsorshipFunding for this work was provided by CONAFOR/CONACYT Projects “CO2-2014-3-252620” and “CO-2018-2-A3-S-131553” for the development and enhancement of a Forest Fire Danger Prediction System for Mexico. The scholarships from CONACYT for Carlos Briones to study a Masters program in Forest Sciences at the Universidad Juarez del Estado de Durango and to fund a research stay at the University of Santiago de Compostela (Spain) is also acknowledged.
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
dc.subjectAboveground biomass
dc.subjectFire occurrence
dc.titleModeling and Mapping Forest Fire Occurrence from Aboveground Carbon Density in Mexico
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal

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