Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Carlos Ivan Briones-Herrera; Daniel Jose Vega-Nieva; Norma Angelica Monjaras-Vega; Favian Flores-Medina; Pablito Marcelo Lopez-Serrano; Jose Javier Corral-Rivas; Artemio Carrillo-Parra; Miguel Angel Pulgarin-Gamiz; Ernesto Alvarado-Celestino; Armando Gonzalez-Caban; Stefano Arellano-Perez; Juan Gabriel Alvarez-Gonzalez; Ana Daría Ruiz-Gonzalez; William Mathew Jolly
    Date: 2019
    Source: Forests. 10: 402.
    Publication Series: Scientific Journal (JRNL)
    Station: Pacific Southwest Research Station
    PDF: Download Publication  (3.0 MB)


    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.

    Publication Notes

    • You may send email to to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


    Briones-Herrera, Carlos Ivan; Vega-Nieva, Daniel Jose; Monjaras-Vega, Norma Angelica; Flores-Medina, Favian; Lopez-Serrano, Pablito Marcelo; Corral-Rivas, Jose Javier; Carrillo-Parra, Artemio; Pulgarin-Gamiz, Miguel Angel; Alvarado-Celestino, Ernesto; Gonzalez-Caban, Armando; Arellano-Perez, Stefano; Alvarez-Gonzalez, Juan Gabriel; Ruiz-Gonzalez, Ana Daría; Jolly, William Mathew. 2019. Modeling and mapping forest fire occurrence from aboveground carbon density in Mexico. Forests. 10: 402.


    Google Scholar


    aboveground biomass, ecoregions, fire occurrence

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page