越南西北部地区森林火灾发生的空间模式建模

IF 2.4 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Trang Thanh Pham, Thuan Chu, Bao Quang Tran
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引用次数: 0

摘要

森林火灾对越南西北部地区的热带森林生态系统构成严重威胁。我们的研究旨在评估环境因素对森林火灾发生的影响,并绘制整个地区的森林火灾概率图。本研究采用了 2003 - 2016 年期间的森林火灾发生数据、环境因素(气候、燃料状况、地形和人类活动)以及 MaxEnt 方法。MaxEnt 模型的表现优于随机模型(AUC>0.88)。气候因素(尤其是气候季节性:年温度范围(bio_07)、等温线(bio_03)和最暖季度降水量(bio_18))对模型的贡献最大,其次是人口密度和海拔高度。相比之下,燃料条件(土地覆被类型)对模型的贡献较小。森林火灾的中等、高和极高发生概率出现在整个南部至北部和西部的中高海拔地区(如奠边省、山罗省和莱州省),极低和低发生概率则集中在海拔较低的东南部地区(主要在和平原省)。我们的研究结果可能有助于火灾管理者和决策者为该地区的森林制定更有效的火灾管理策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling spatial patterns of forest fire occurrence in the Northwestern region of Vietnam
Forest fires present a significant threat to the tropical forest ecosystem in the northwestern region of Vietnam. Our study aimed to assess the impacts of environmental factors on forest fire occurrence and to map forest fire probability for the whole region. The forest fire occurrence data over the period 2003 – 2016, environmental factors (climate, fuel condition, topography, and human activity), and the MaxEnt approach were used for this study. The MaxEnt model performed better than the random model (AUC>0.88). Climatic factors (especially climatic seasonality: annual temperature range (bio_07), isothermality (bio_03), and precipitation of warmest quarter (bio_18)) had the highest contribution to the model, followed by population density and elevation. In contrast, fuel condition (Land cover type) had a small contribution to the model. While medium, high, and very high probabilities of forest fire occurred at medium to high elevations (e.g., Dien Bien, Son La, and Lai Chau provinces) throughout southern to northern and western areas, very low and low probability concentrated southeastern areas at lower elevations (mainly in Hoa Bình province). Our results may be helpful references for fire managers and policymakers to establish more effective fire management strategies for the region's forest.
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来源期刊
VIETNAM JOURNAL OF EARTH SCIENCES
VIETNAM JOURNAL OF EARTH SCIENCES GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.60
自引率
20.00%
发文量
0
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