Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China
Liu, Jia2,3,4,5,6; Wang, Yukuan5,6; Guo, Haiyan3; Lu, Yafeng5,6; Xu, Yuanxin3; Sun, Yu1; Gan, Weiwei2,3; Sun, Rui3; Li, Zhengyang4,5,6
刊名FIRE ECOLOGY
2024-03-15
卷号20期号:1页码:22
关键词Panxi region Forest fire Spatiotemporal pattern Driving factor Parameter-optimal geophone
ISSN号1933-9747
DOI10.1186/s42408-024-00257-z
英文摘要

BackgroundThe Panxi region in China is among the areas that are most severely impacted by forest fires. Despite this, there is currently a lack of comprehensive and systematic research on the spatial and temporal distribution patterns, as well as the drivers, of forest fires in the region. To reveal bio-geo-climatic and anthropogenic influences, this study investigated the temporal and spatial characteristics of forest fires and migration patterns of the center of gravity of forest fires in Panxi. A parametric optimal geographical detection model was utilized to quantify the influence of various individual factors and their combinations on the spatial patterns of forest fire occurrence in the whole Panxi region and sub-region, by analyzing the forest fire dataset from 2004 to 2020.ResultsFrom 2004 to 2020, the Panxi region experienced an upward trend in the number of forest fires and the area burned. However, the trends were not consistent over the entire period. Between 2004 and 2014, both the number of fires and the area burned showed fluctuations and an overall increase. In contrast, between 2015 and 2020, there was a significant decrease in the number of fires, while the area burned showed a continued upward trend. The study identified abrupt changes in the frequency of forest fires and burned areas, primarily in 2007 and 2016. Spatially, forest fires in Panxi exhibited a positive correlation and local clustering. The river valley basin and hilly regions displayed a higher incidence of forest fires, which were concentrated mainly along the hill edges. In the whole area of Panxi, climatic factors have a predominant influence on forest fire occurrences. Specifically, evaporation, maximum temperature, average temperature, number of days without rain, and minimum temperature demonstrated the strongest explanatory power. Furthermore, this relationship was found to be reinforced when combined with topographical, human activities, and vegetation factors. The spatial variation of drought within each sub-district has a stronger explanatory power for the distribution characteristics of forest fires in the region than at the Panxi-wide scale. The factor with the maximum interaction in most regions was the dual factor of rainfall and drought.ConclusionsThe study's findings validate the applicability of geographic probes for identifying the drivers of fire occurrence and enhance our understanding of the drivers and their combined effects on the spatial context of the fire-incident study area. AntecedentesLa region de Panxi en China esta entre las areas mas severamente impactadas por los incendios forestales. A pesar de ello, hay al dia de hoy una falta de investigaciones comprensivas y sistematicas sobre los patrones espaciales y temporales en su distribucion, como asi tambien de los factores conducentes a los incendios forestales en esa region. De manera de revelar las influencias bio-geo-climaticas y antropogenicas, este estudio investigo las caracteristicas espaciales y temporales y los patrones de migracion del centro de gravedad de los incendios forestales en Panxi. Un modelo parametrico de deteccion geografica optima fue utilizado para cuantificar la influencia de varios factores individuales y sus combinaciones sobre los patrones espaciales de ocurrencia de incendios en la region de Panxi y en una subregion, mediante el analisis de una base de datos de incendios ocurridos entre 2004 y 2020.ResultadosDesde 2004 y hasta 2020, la region de Panxi experimento una tendencia alcista en el numero de incendios y en el area quemada. Desde luego, estas tendencias no fueron consistentes sobre el periodo total. Entre 2004 y 2014, tanto el numero de incendios como el area quemada mostraron fluctuaciones y un incremento en general. En contraste, entre 2015 y 2020, se noto un decremento significativo en el numero de incendios mientras que el area quemada mostro una tendencia al aumento. El estudio identifico cambios abruptos en la frecuencia de los incendios y areas quemadas, fundamentalmente en 2007 y 2016. Espacialmente, los incendios forestales en Panxi exhibieron una correlacion positiva y un agrupamiento local. La cuenca del valle que bordea el rio y las regiones con colinas mostraron las incidencias mas grandes de los incendios, que se concentraron mayoritariamente alrededor de los bordes de las colinas. En la totalidad del area de Panxi, los factores climaticos tienen una influencia predominante en la ocurrencia de los incendios. Especificamente, la evaporacion, la temperatura maxima, el numero de dias sin lluvia, y las temperaturas minimas demostraron ser las variables explicativas mas poderosas. Ademas, esta relacion se ve reforzada si se combinaba con factores topograficos, vegetacionales, e influencia humana. La variacion espacial de la sequia dentro de cada sub-distrito tuvo un poder explicativo mas fuerte sobre las caracteristicas de distribucion de los incendios que a mayor escala en la region de Panxi. La interaccion maxima en la mayoria de las regiones se debio al factor dual entre precipitaciones y sequias.ConclusionesLos resultados de este estudio validan la aplicabilidad de las pruebas geograficas para identificar los factores conducentes de los incendios forestales y aumenta nuestros conocimientos sobre estos factores conducentes y sus efectos combinados sobre el contexto espacial de los incidentes de incendios en el area de estudios.

资助项目Young Scientists Fund
WOS关键词ANTHROPOGENIC CLIMATE-CHANGE ; WILDLAND FIRE ; WILDFIRE ; VARIABILITY ; DISTURBANCE ; VEGETATION ; IMPACTS ; REGIMES
WOS研究方向Environmental Sciences & Ecology ; Forestry
语种英语
出版者SPRINGER
WOS记录号WOS:001183783700001
资助机构Young Scientists Fund
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/57954]  
专题成都山地灾害与环境研究所_山区发展研究中心
通讯作者Wang, Yukuan; Guo, Haiyan
作者单位1.Sichuan Prov Meteorol Disaster Def Technol Ctr, Sichuan Prov Meteorol Serv, Chengdu 610072, Peoples R China
2.Inst Plateau Meteorol, Heavy Rain & Drought Flood Disasters Plateau & Bas, Chengdu 610072, Peoples R China
3.Sichuan Prov Climate Ctr, Sichuan Prov Meteorol Serv, Chengdu 610072, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Minist Water Resources, Chengdu 610041, Peoples R China
6.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Liu, Jia,Wang, Yukuan,Guo, Haiyan,et al. Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China[J]. FIRE ECOLOGY,2024,20(1):22.
APA Liu, Jia.,Wang, Yukuan.,Guo, Haiyan.,Lu, Yafeng.,Xu, Yuanxin.,...&Li, Zhengyang.(2024).Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China.FIRE ECOLOGY,20(1),22.
MLA Liu, Jia,et al."Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China".FIRE ECOLOGY 20.1(2024):22.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace