影响苏格兰荒地和毯状沼泽野火严重程度的因素。

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-06-25 Epub Date: 2024-04-26 DOI:10.1016/j.scitotenv.2024.172746
Noemi A L Naszarkowski, Thomas Cornulier, Sarah J Woodin, Louise C Ross, Alison J Hester, Robin J Pakeman
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引用次数: 0

摘要

温带热地和毯状沼泽在全球范围内十分罕见,面临着日益严重的野火威胁。严重程度不同的火灾对生态系统的影响也不同,严重程度反映了直接的燃料消耗。本研究评估了影响苏格兰荒地和毯状沼泽火灾严重程度的因素,包括加拿大火灾气象指数系统(CFWIS)的功效。利用遥感技术,我们测量了 2015 年至 2021 年期间 92 个野火地点的差异归一化燃烧比。我们使用广义加性混合模型研究了地形、栖息地湿度、CFWIS 成分和 30 天天气对严重程度的影响。干石楠的严重程度高于湿石楠和毯状沼泽,坡度、海拔和朝南面与严重程度呈正相关。由于数据比例的差异,天气的影响并不明显,但仍表明天气对严重程度有重要作用。从火灾发生前约 15 天开始,降雨的负面影响越来越大,而温度的正面影响则越来越大。蒸汽压力不足(VPD)是解释价值最高的天气变量,它比 CFWIS 的任何组成部分都能更好地预测严重程度。解释性最好的火灾严重程度模型(R2 = 0.25)包含了火灾当天的地形、栖息地湿度风和 VPD。干旱代码(DC)可预测土壤深度≥10厘米处的有机物可燃性,是对不同生境具有最高预测效果的CFWIS组成部分。我们的研究结果表明,湿石楠和毯状沼泽的野火通常严重程度较低,但更温暖、更干燥的天气可能会增加发生严重烟火的风险,从而威胁泥炭地的碳储量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors affecting severity of wildfires in Scottish heathlands and blanket bogs.

Temperate heathlands and blanket bogs are globally rare and face growing wildfire threats. Ecosystem impacts differ between low and high severity fires, where severity reflects immediate fuel consumption. This study assessed factors influencing fire severity in Scottish heathlands and blanket bogs, including the efficacy of the Canadian Fire Weather Index System (CFWIS). Using remote sensing, we measured the differenced Normalised Burn Ratio at 92 wildfire sites from 2015 to 2021. We used Generalised Additive Mixed Models to investigate the impact of topography, habitat wetness, CFWIS components and 30-day weather on severity. Dry heath exhibited higher severity than wet heath and blanket bog, and slope, elevation and south facing aspect were positively correlated to severity. Weather effects were less clear due to data scale differences, yet still indicated weather's significant role in severity. Rainfall had an increasingly negative effect from approximately 15 days before the fire, whilst temperature had an increasingly positive effect. Vapour Pressure Deficit (VPD) was the weather variable with highest explanatory value, and predicted severity better than any CFWIS component. The best-explained fire severity model (R2 = 0.25) incorporated topography, habitat wetness wind and VPD on the day of the fire. The Drought Code (DC), predicting organic matter flammability at ≥10 cm soil depth, was the CFWIS component with the highest predictive effect across habitats. Our findings suggest that wildfires in wet heath and blanket bogs are typically characterised by low severity, but that warmer, drier weather may increase the risk of severe, smouldering fires which threaten peatland carbon stores.

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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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