气候变化领域集成服务门户(CCPortal): National-scale spatiotemporal patterns of vegetation fire occurrences using MODIS satellite data

CCPortal

DOI	10.1371/journal.pone.0297309
	National-scale spatiotemporal patterns of vegetation fire occurrences using MODIS satellite data
	Mupfiga, Upenyu Naume; Mutanga, Onisimo; Dube, Timothy
发表日期	2024
ISSN	1932-6203
起始页码	19
结束页码	3
卷号	19 期号:3
英文摘要	As the risk of climate change increases, robust fire monitoring methods become critical for fire management purposes. National-scale spatiotemporal patterns of the fires and how they relate to vegetation and environmental conditions are not well understood in Zimbabwe. This paper presents a spatially explicit method combining satellite data and spatial statistics in detecting spatiotemporal patterns of fires in Zimbabwe. The Emerging Hot Spot Analysis method was utilized to detect statistically significant spatiotemporal patterns of fire occurrence between the years 2002 and 2021. Statistical analysis was done to determine the association between the spatiotemporal patterns and some environmental variables such as topography, land cover, land use, ecoregions and precipitation. The highest number of fires occurred in September, coinciding with Zimbabwe's observed fire season. The number of fires significantly varied among seasons, with the hot and dry season (August to October) recording the highest fire counts. Additionally, although June, July and November are not part of the official fire season in Zimbabwe, the fire counts recorded for these months were relatively high. This new information has therefore shown the need for revision of the fire season in Zimbabwe. The northern regions were characterized by persistent, oscillating, diminishing and historical spatiotemporal fire hotspots. Agroecological regions IIa and IIb and the Southern Miombo bushveld ecoregion were the most fire-prone areas. The research findings also revealed new critical information about the spatiotemporal fire patterns in various terrestrial ecoregions, land cover, land use, precipitation and topography and highlighted potential areas for effective fire management strategies.
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001194753900074
来源期刊	PLOS ONE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298933
作者单位	University of Kwazulu Natal; University of the Western Cape
推荐引用方式 GB/T 7714	Mupfiga, Upenyu Naume,Mutanga, Onisimo,Dube, Timothy. National-scale spatiotemporal patterns of vegetation fire occurrences using MODIS satellite data[J],2024,19(3).
APA	Mupfiga, Upenyu Naume,Mutanga, Onisimo,&Dube, Timothy.(2024).National-scale spatiotemporal patterns of vegetation fire occurrences using MODIS satellite data.PLOS ONE,19(3).
MLA	Mupfiga, Upenyu Naume,et al."National-scale spatiotemporal patterns of vegetation fire occurrences using MODIS satellite data".PLOS ONE 19.3(2024).