Relationships and Modeling of Cerrado Grassland Fuel in Jalapão, Tocantins state, Brazil

dc.creatorMicael Moreira Santos
dc.creatorAntonio Carlos Batista
dc.creatorEduardo Henrique Rezende
dc.creatorAllan Deyvid Pereira da Silva
dc.creatorDaniela Biondi Batista
dc.creatorGil Rodrigues dos Santos
dc.creatorMarcos Giongo
dc.date2024
dc.date.accessioned2026-07-07T02:53:30Z
dc.descriptionThe aim of this study was to understand the relationships between different destructive (grass and 1-h fuel load) and non-destructive fuel variables (grass height, litter height, number of species, and number of individuals), in order to develop models for estimating fuel load and moisture and analyzing fuel consumption. This study was carried out in a protected area located in the Cerrado biome, in the Jalapão region, Tocantins state, Brazil. The non-destructive characteristics of the vegetation were sampled to determine the live and dead fuel loads in different time-lag classes. Equations were obtained to estimate these loads, with values of R²aj, varying from 0.12 to 0.73. The considerable influence of dead grass fuel load on modeling could be observed, which is regarded as the main determining factor for a greater consumption of vegetation by fire.
dc.formatapplication/pdf
dc.identifier0120-0739
dc.identifierhttps://www.redalyc.org/articulo.oa?id=423979072005
dc.identifierhttps://www.redalyc.org/journal/4239/423979072005/
dc.identifierhttps://www.redalyc.org/journal/4239/423979072005/html/
dc.identifierhttps://www.redalyc.org/journal/4239/423979072005/423979072005.epub
dc.identifierhttps://www.redalyc.org/journal/4239/423979072005/movil
dc.identifier10.14483/2256201X.20277
dc.identifier.urihttp://hdl.handle.net/123456789/424046
dc.languageen
dc.publisherUniversidad Distrital Francisco José de Caldas
dc.relationhttp://www.redalyc.org/revista.oa?id=4239
dc.rightsColombia Forestal
dc.sourceColombia Forestal (Colombia) Num.2 Vol.27
dc.subjectAgrociencias
dc.titleRelationships and Modeling of Cerrado Grassland Fuel in Jalapão, Tocantins state, Brazil
dc.typeartículo científico

Archivos