为野火和规定火源管理绘制火景图:景观分类方法

IF 3.2 2区 环境科学与生态学 Q2 ENVIRONMENTAL STUDIES
Land Pub Date : 2023-12-17 DOI:10.3390/land12122180
Nicholas P. Gould, Lars Y. Pomara, Sandhya Nepal, Scott L. Goodrick, Danny C. Lee
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引用次数: 1

摘要

由于气候变化、火灾扑救造成的燃料积累、荒地-城市交接地带的不断扩大以及其他因素之间的相互作用,森林景观中与严重野火相关的风险正在不断增加。人类、基础设施、生态系统服务和森林健康都面临着不同程度的风险。影响野火、其影响及管理对策的众多社会和生态因素的空间分布是管理风险和培育具有抗灾能力的土地和社区的重要景观背景。整合这些不同分布的决策支持工具可以提供一个整体的、易于解读的地貌特征,帮助火灾管理决策变得适当、高效和有效。火灾景观--根据火灾、火灾驱动因素及其作为社会生态系统的影响而定义的景观类型--可以发挥这一作用,提供一种沿着多个相关维度组织和解释空间变化的方法。我们以美国东南部为例,介绍了一种用于决策支持的火灾景观分类和绘图定量方法。我们与地区合作伙伴合作汇编了相关的大规模数据集,并确定了 73 个分析变量。我们使用因子分析将数据简化为八个因子,这些因子与火灾动态、火灾历史、森林特征、气候、保护和生态系统服务价值、社会和生态景观属性以及社会脆弱性相关,并具有直观的解释。然后,我们对这些因子进行聚类分析,得出定量景观类别,并将其解释为九种独特的火景类别。火灾景观为野火风险管理和规划提供了广泛的社会生态信息背景。这种分析方法可以适应各种尺度的不同数据类型,在获得新的监测数据时将其纳入其中,并可在数据驱动的情景下用于评估未来变化可能造成的后果。由此绘制的火景图可为森林管理者、规划者和其他利益相关者提供决策支持,为管理火灾及相关风险、建设社区和森林的抗火能力以及改善保护成果的适当战略提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping Firescapes for Wild and Prescribed Fire Management: A Landscape Classification Approach
Risks associated with severe wildfire are growing in forest landscapes due to interactions among climate change, fuel accumulation from fire suppression, an expanding wildland–urban interface, and additional factors. People, infrastructure, ecosystem services, and forest health all face varying degrees of risk. The spatial distributions of the many social and ecological factors that influence wildfire, its impacts, and management responses are an important landscape-level context for managing risks and fostering resilient lands and communities. Decision-support tools that integrate these varied distributions can provide a holistic and readily interpreted characterization of landscapes, helping fire management decision making be appropriate, efficient, and effective. Firescapes—landscape types defined in relation to fire, its drivers, and its effects as a socioecological system—fill this role, providing a way to organize and interpret spatial variation along multiple relevant dimensions. We describe a quantitative approach for classifying and mapping firescapes for decision support, using the southeastern United States as a case study. We worked with regional partners to compile relevant large-scale datasets and identify 73 variables for analysis. We used factor analysis to reduce the data to eight factors with intuitive interpretations relevant to fire dynamics, fire history, forest characteristics, climate, conservation and ecosystem service values, social and ecological landscape properties, and social vulnerabilities. We then used cluster analysis on the factors to generate quantitative landscape classes, which we interpreted as nine distinctive firescape classes. The firescapes provide a broad-scale socioecological information context for wildfire risk management and planning. The analytical approach can accommodate different data types at a variety of scales, incorporate new monitoring data as they are available, and can be used under data-driven scenarios to assess possible consequences of future change. The resulting firescape maps can provide decision support to forest managers, planners, and other stakeholders, informing appropriate strategies to manage fire and associated risks, build community and forest resilience to fire, and improve conservation outcomes.
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来源期刊
Land
Land ENVIRONMENTAL STUDIES-Nature and Landscape Conservation
CiteScore
4.90
自引率
23.10%
发文量
1927
期刊介绍: Land is an international and cross-disciplinary, peer-reviewed, open access journal of land system science, landscape, soil–sediment–water systems, urban study, land–climate interactions, water–energy–land–food (WELF) nexus, biodiversity research and health nexus, land modelling and data processing, ecosystem services, and multifunctionality and sustainability etc., published monthly online by MDPI. The International Association for Landscape Ecology (IALE), European Land-use Institute (ELI), and Landscape Institute (LI) are affiliated with Land, and their members receive a discount on the article processing charge.
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