OzCBI:适用于评估澳大利亚生态系统火灾严重程度和主要动物栖息地特征的复合燃烧指数

IF 0.9 4区 农林科学 Q3 FORESTRY
V. Densmore, R. van Dongen, R. Ong, B. Harris
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引用次数: 0

摘要

尽管火灾管理对于保护澳大利亚的生态系统和社区至关重要,但实现这些目标的最佳方式却存在争议。最近使用卫星图像来绘制火灾严重程度的进展主要集中在冠层效应上,并提供有限的生态信息。火灾和规定的烧伤也可能发生在几周到几个月,限制了单个火灾后图像的相关性。我们采用了复合燃烧指数,这是一种在北美常用的实地调查方法,包括评估澳大利亚桉树常见的再生动态以及关键动物栖息地属性的保留和恢复的简约指标。我们使用多时相卫星图像汇编了几个月来火场范围内的最大影响,并得出了最大差异归一化燃烧比(dNBR max)。我们使用dNBR max和一种新的野外方法OzCBI,为西澳大利亚西南部的三个森林生物地理区域创建了不同的火灾严重程度模型。生态结果被用来设定三个模型共有的严重程度等级之间的阈值。所有模型的平衡精度平均在0.7以上。本研究展示了一种将生态评价纳入火灾严重程度图的实用方法。该方法为实现平衡降低风险和保护自然环境的最佳实践火灾管理提供了信息。OzCBI是一种将主要栖息地特征与不同的火灾严重等级联系起来的简洁方法。不同的生物地理区域需要不同的卫星图像和实地调查模型。当火灾持续较长时间(数周至数月)燃烧时,多时相图像提高了严重程度地图的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OzCBI: the composite burn index adapted to assess fire severity and key fauna habitat features in Australian ecosystems
ABSTRACT Although fire management is essential to conserve ecosystems and protect communities in Australia, the best way to achieve these goals is controversial. Recent advances that use satellite imagery to map fire severity focus on canopy effects and provide limited ecological information. Fires and prescribed burns can also occur over weeks to months, limiting the relevance of a single post-fire image. We adapted the composite burn index, a field-truthing method commonly used in North America, to include parsimonious metrics that assess resprouting dynamics common among Australian eucalypts and the retention and recovery of key fauna habitat attributes. We used multitemporal satellite imagery to compile the greatest impacts within fire boundaries over several months and derive the maximum differenced normalised burn ratio (dNBR max). We used the dNBR max and a new field method, the OzCBI, to create distinct fire-severity models for three forested biogeographical regions in southwest Western Australia. Ecological outcomes were used to set thresholds between severity classes that were common to the three models. Balanced accuracies averaged above 0.7 across the models. This study demonstrates a practical method to incorporate ecological assessment into fire-severity maps. The approach informs efforts to achieve best-practice fire management that balances risk reduction and the conservation of natural environments. Key policy highlights The OzCBI is a parsimonious method for relating key habitat features to distinct fire-severity classes. Different biogeographic regions require distinct models relating satellite imagery and field-truthing. Multitemporal imagery increases the accuracy of severity maps when fires burn over extended periods (weeks to months).
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来源期刊
CiteScore
3.70
自引率
4.80%
发文量
15
审稿时长
>12 weeks
期刊介绍: Australian Forestry is published by Taylor & Francis for the Institute of Foresters of Australia (IFA) for scientific, technical, and professional communication relating to forestry in the Asia Pacific.
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