Modeling and Mapping Forest Fire Occurrence from Aboveground Carbon Density in Mexico
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Título: | Modeling and Mapping Forest Fire Occurrence from Aboveground Carbon Density in Mexico |
Autor/a: | Briones Herrera, Carlos Iván Vega Nieva, Daniel José Monjarás Vega, Norma Angélica Flores Medina, Favián López Serrano, Pablito Marcelo Corral-Rivas, José Javier Carrillo Parra, Artemio Pulgarín Gámiz, Miguel Ángel Alvarado Celestino, Ernesto González Cabán, Armando Arellano Pérez, Stéfano Álvarez González, Juan Gabriel Ruiz González, Ana Daría Jolly, William Mathew |
Centro/Departamento: | Universidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal |
Palabras chave: | Aboveground biomass | Ecoregions | Fire occurrence | |
Data: | 2019 |
Editor: | MDPI |
Cita bibliográfica: | Briones-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 |
Resumo: | Understanding 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. |
Versión do editor: | https://doi.org/10.3390/f10050402 |
URI: | http://hdl.handle.net/10347/21133 |
DOI: | 10.3390/f10050402 |
E-ISSN: | 1999-4907 |
Dereitos: | © 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 (http://creativecommons.org/licenses/by/4.0/). |
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