对津巴布韦各地烧毁面积的时空变化进行的二十年分析

M. Shekede, S. Kusangaya, Courage B. Chavava, I. Gwitira, Abel Chemura
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摘要

了解野火在空间和时间上的动态对于野火控制和管理至关重要。在这项研究中,使用了欧洲航天局(ESA)MODIS 火灾产品(ESA/CCI/FireCCI/5_1)中置信度≥ 70% 的火灾数据来描述 2001 年至 2020 年津巴布韦火灾频率的空间和时间变化特征。结果表明,烧毁面积增加了 16%,从 2001 年的 3,689 平方公里增加到 2011 年的 6,130 平方公里,随后逐年减少,到 2020 年降到最低(1,161 平方公里)。在这 20 年间,全国平均每年有 40086.56 平方公里的土地被烧毁。此外,基于广义线性模型的回归分析结果表明,土壤水分、风速和温度对焚烧面积的变化有显著的解释作用。此外,滞后四年的年降雨量与烧毁面积呈正相关,这表明该国某些地区(南部和西部)的草本植物产量有限,从而增加了积累足够燃料负荷所需的时间。这项研究通过在空间分析框架内整合遥感火灾数据,确定了津巴布韦的主要火灾热点。这为了解火灾演变提供了有用的信息,可用于指导火灾易发生态系统的野火控制和管理。此外,针对受野火影响最严重的地区,尤其是在野火活动最频繁的旱季,可以优化火灾管理和减灾的资源分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A two-decade analysis of the spatial and temporal variations in burned areas across Zimbabwe
Understanding wildfire dynamics in space and over time is critical for wildfire control and management. In this study, fire data from European Space Agency (ESA) MODIS fire product (ESA/CCI/FireCCI/5_1) with ≥ 70% confidence level was used to characterise spatial and temporal variation in fire frequency in Zimbabwe between 2001 and 2020. Results showed that burned area increased by 16% from 3,689 km2 in 2001 to 6,130 km2 in 2011 and decreased in subsequent years reaching its lowest in 2020 (1,161km2). Over, the 20-year period, an average of 40,086.56 km2 of land was burned annually across the country. In addition, results of the regression analysis based on Generalised Linear Model illustrated that soil moisture, wind speed and temperature significantly explained variation in burned area. Moreover, the four-year lagged annual rainfall was positively related with burned area suggesting that some parts in the country (southern and western) are characterised by limited herbaceous production thereby increasing the time required for the accumulation of sufficient fuel load. The study identified major fire hotspots in Zimbabwe through the integration of remotely sensed fire data within a spatially analytical framework. This can provide useful insights into fire evolution which can be used to guide wildfire control and management in fire prone ecosystems. Moreover, resource allocation for fire management and mitigation can be optimised through targeting areas most affected by wildfires especially during the dry season where wildfire activity is at its peak.
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