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date: 2026-08-27T12:47:23
publisher: vivo
type: Document
label: RDF description of Fire hotspots in sierra madre oriental, san luis potosí: Spatial patterns and related factors [Puntos de calor en la sierra madre oriental de san luis potosí: Patrones espaciales y factores asociados] - http://orbis.uaslp.mx/vivo/individual/scopus5364

Madera Bosques
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publication venue for: Fire hotspots in sierra madre oriental, san luis potosí: Spatial patterns and related factors [Puntos de calor en la sierra madre oriental de san luis potosí: Patrones espaciales y factores asociados]
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Article
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Fire hotspots in sierra madre oriental, san luis potosí: Spatial patterns and related factors [Puntos de calor en la sierra madre oriental de san luis potosí: Patrones espaciales y factores asociados]
date time value: article date 5365
type: Generically Dependent Continuant
has publication venue: Madera Bosques
volume: 24
most specific type: Article
issue: 1
related by: authorship_33347
origen: scopus
estado: published
type: Document
accesstype: All Open Access, Gold
most specific type: Document
doi: 10.21829/myb.2018.2411565
abstract: Wildland fires are a fundamental process that shape and maintain the structure of forest ecosystems, and are the result of several environmental and socio-economic factors that interact at the landscape scale to produce specific spatial distribution patterns. The aim of this study was to characterize fire-hotspots patterns and identify the main environmental and anthropogenic factors influencing their density in the Sierra Madre Oriental of San Luis Potosí in the period 2000-2012. The inhomogeneous Ripley´s K function was used to characterize monthly spatial patterns of fire hotspots (second order effects). To identify the main variables and thresholds that best explained the occurrence of fire-hotspots, regression trees were built using kernel density (first order effects) as a continuous response variable. Evidence of aggregated, regular and random patterns was obtained at different spatial scales. Monthly rainfall, diurnal temperature, land use/cover, elevation, distance to populated areas and distance to unpaved roads had a high influence in the occurrence of fire hotspots. Our results can contribute to a better understanding of wildland fire dynamics in the study area and can be used for studies related to forest fire danger and risk by applying the thresholds of the main explaining variables. © 2018, Instituto de Ecologia, A.C.. All rights reserved.
type: Thing
freetext keyword: Forest fires; Kernel; Point patterns; Ripley´s k; Spatial distribution
related by: authorship_33346
type: Article
type: Entity
e iscopus: 2-s2.0-85052235158
crisid: 5365
type: Continuant
type: Information Content Entity