Wildfire danger under changing climates in the southern Great Plains throughout the 21st century

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2025-01-01 Epub Date: 2024-12-14 DOI:10.1016/j.ecolind.2024.112994
Shanmin Fang , Jia Yang , Chris B. Zou , Erik S. Krueger , Tyson E. Ochsner , Quan Zhang
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Abstract

The southern Great Plains (SGP) has recently experienced wildfires with unprecedented severity and frequency, which significantly threatened human life and property and altered terrestrial ecosystem functions. While it is expected that future climate change will affect wildfire danger levels by altering fire weather and fuel conditions, there remains a significant gap in understanding how these changes will manifest in the SGP. Therefore, our objectives were to (1) simulate the spatial and temporal dynamics of the Burning Index (BI), a widely used fire danger index in the National Fire Danger Rating System (NFDRS), and high fire danger days based on CMIP5 climate simulations, comparing the 1986–2005 historical period and 2006–2099 under two climate change scenarios (RCP4.5 and RCP8.5), and (2) identify important weather variables driving projected BI changes. We found that the BI would increase at 0.1 × 10 ft per decade under RCP4.5 and 0.4 × 10 ft per decade under RCP8.5. By the end of the 21st century, the southwestern SGP is projected to become a hotspot for increased wildfire danger, its annual high fire danger days are projected to increase by over 25 days (50 %) under the RCP8.5 and more than 15 days (30 %) under the RCP4.5 compared to 1986–2005. The BI is projected to increase in all months except April, with the highest increases occurring during the summer. The primary climate factor contributing to future BI increases is a decline in relative humidity. Interestingly, our simulations suggest a potential decrease in BI for April, likely due to earlier vegetation green-up prompted by rising temperature. Overall, our study outlines future patterns of fire danger in the SGP. These findings are essential for developing long-term preparedness strategies to mitigate wildfire risks and adapt to the new wildfire regimes under changing climate conditions.

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21世纪大平原南部气候变化下的野火危险
近年来,我国南部大平原地区发生了严重且频繁的森林火灾,严重威胁了人类生命财产安全,改变了陆地生态系统功能。虽然预计未来的气候变化将通过改变火灾天气和燃料条件来影响野火危险水平,但在了解这些变化将如何在SGP中表现出来方面仍然存在重大差距。因此,本研究的目标是(1)基于CMIP5气候模拟,对1986-2005年历史时期和2006-2099年两种气候变化情景(RCP4.5和RCP8.5)下燃烧指数(BI)和高火险日的时空动态进行模拟;(2)确定驱动BI变化的重要天气变量。我们发现,在RCP4.5和RCP8.5下,BI分别以每10年0.1 × 10英尺和0.4 × 10英尺的速度增加。到21世纪末,西南高原将成为山火危险增加的热点地区,与1986-2005年相比,在RCP8.5和RCP4.5下,其年高火险日数分别增加了25天(50%)和15天(30%)以上。预计除4月份外,所有月份的cpi都将上涨,其中夏季涨幅最大。导致未来BI增加的主要气候因子是相对湿度的下降。有趣的是,我们的模拟表明,4月份的BI可能会下降,这可能是由于气温上升导致植被提前变绿。总的来说,我们的研究概述了SGP未来的火灾危险模式。这些发现对于制定长期准备战略以减轻野火风险和适应气候条件变化下的新野火制度至关重要。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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