澳大利亚西阿纳姆地烧伤严重程度和频率对侵蚀的影响

D. Bretreger, Gregory R. Hancock, John Lowry, I. Senanayake, In-Young Yeo
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引用次数: 0

摘要

野火对全球许多生态系统的功能至关重要,其中包括地表侵蚀率的大小。本研究旨在调查澳大利亚热带北部稀树草原地表侵蚀率与野火强度之间的关系。利用遥感数字数据集和模拟侵蚀测量方法确定了澳大利亚北领地阿纳姆地西部的火灾发生情况。利用卫星图像进行分析,通过月度三角洲归一化燃烧比 (dNBR) 量化燃烧严重程度。这与 13 年的地面侵蚀测量(侵蚀针)进行了比较和关联。每年的 dNBR(最多 +0.4)与随后的侵蚀(每年侵蚀/沉积量最多为±4 毫米)没有关系。相关性差的原因是火灾严重程度低、燃烧不均匀、火灾间隔时间长以及降雨导致侵蚀。其他影响因素还包括野猪和气旋影响造成的地表粗糙度。这里的研究结果与其他许多发现火灾会增加地表侵蚀的研究结果相反。这突显了热带北领地独特的生态系统特征和火灾机制特性。本研究没有观察到严重的旱季后期火灾情况,因此需要进行更多的调查。像本文研究的生态系统这样的生态系统需要专门的管理方法,以确认特定的生态系统功能和过程。本文采用的方法结合了模拟和数字传感器,以加深对独特环境系统的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impacts of Burn Severity and Frequency on Erosion in Western Arnhem Land, Australia
Wildfires are pivotal to the functioning of many ecosystems globally, including the magnitude of surface erosion rates. This study aims to investigate the relationships between surface erosion rates and wildfire intensity in the tropical north savanna of Australia. The occurrence of fires in western Arnhem Land, Northern Territory, Australia was determined with remotely sensed digital datasets as well as analogue erosion measurement methods. Analysis was performed using satellite imagery to quantify burn severity via a monthly delta normalised burn ratio (dNBR). This was compared and correlated against on-ground erosion measurements (erosion pins) for 13 years. The dNBR for each year (up to +0.4) displayed no relationship with subsequent erosion (up to ±4 mm of erosion/deposition per year). Poor correlation was attributed to low fire severity, patchy burning, significant time between fires and erosion-inducing rainfall. Other influences included surface roughness from disturbances from feral pigs and cyclone impacts. The findings here oppose many other studies that have found that fires increase surface erosion. This accentuates the unique ecosystem characteristics and fire regime properties found in the tropical Northern Territory. Scenarios of late dry season fires with high severity were not observed in this study and require more investigations. Ecosystems such as the one examined here require specialised management practices acknowledging the specific ecosystem functions and processes. The methods employed here combine both analogue and digital sensors to improve understandings of a unique environmental system.
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