Predicting the Integrated Fire Resistance of Wildland–Urban Interface Plant Communities by Spatial Structure Analysis Learning for Shanghai, China

Forests Pub Date : 2024-07-20 DOI:10.3390/f15071266
Manqing Yao, Deshun Zhang, Ruilin Zhu, Zhen Zhang, M. Elsadek
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Abstract

Abstract: Fire is a prevalent hazard that poses a significant risk to public safety and societal progress. The continuous expansion of densely populated urban areas, exacerbated by global warming and the increasing intensification of urban heat islands, has led to a notable increase in the frequency and severity of fires worldwide. Incorporating measures to withstand different types of calamities has always been a crucial aspect of urban infrastructure. Well-designed plant communities play a pivotal role as a component of green space systems in addressing climate-related challenges, effectively mitigating the occurrence and spread of fires. This study conducted field research on 21 sites in the green belt around Shanghai, China, quantifying tree morphological indexes and coordinate positions. The spatial structure attributes of different plant communities were analyzed by principal component analysis, CRITIC weighting approach, and stepwise regression analysis to build a comprehensive fire resistance prediction model. Through this research, the relationship between community spatial structures and fire resistance was explored. A systematic construction of a prediction model based on community spatial structures for fire resistance was undertaken, and the fire resistance performance could be quickly judged by easily measured tree morphological indexes, providing valuable insights for the dynamic prediction of fire resistance. According to the evaluation and ranking conducted by the prediction model, the Celtis sinensis, Sapindus saponaria, Osmanthus fragrans, Koelreuteria paniculata, and Distylium racemosum + Populus euramericana ‘I-214’ communities exhibited a high level of fire resistance. On the other hand, the Koelreuteria bipinnata + Ligustrum lucidum, Ginkgo biloba + Camphora officinarum + Ligustrum lucidum, and Ligustrum lucidum + Sapindus saponaria communities obtained lower scores and were positioned lower in the ranking. It is emphasized that the integration of monitoring and regulation is essential to ensure the ecological integrity and well-being of green areas in the Wildland–Urban Interface.
通过空间结构分析学习预测中国上海荒地-城市界面植物群落的综合抗火能力
摘要:火灾是一种普遍存在的危险,对公共安全和社会进步构成重大风险。随着全球变暖和城市热岛的日益加剧,人口稠密的城市地区不断扩大,导致全球火灾的频率和严重程度显著增加。采取措施抵御不同类型的灾害一直是城市基础设施的一个重要方面。精心设计的植物群落作为绿地系统的组成部分,在应对与气候相关的挑战、有效缓解火灾的发生和蔓延方面发挥着举足轻重的作用。本研究对中国上海周边绿化带的 21 个地点进行了实地研究,量化了树木形态指标和坐标位置。通过主成分分析法、CRITIC加权法和逐步回归分析法对不同植物群落的空间结构属性进行分析,建立了综合耐火性预测模型。通过这项研究,探索了群落空间结构与耐火性之间的关系。系统地构建了基于群落空间结构的耐火性预测模型,并通过易于测量的树木形态指标快速判断耐火性能,为耐火性的动态预测提供了有价值的启示。根据预测模型的评估和排序,Celtis sinensis、Sapindus saponaria、Osmanthus fragrans、Koelreuteria paniculata、Distylium racemosum + Populus euramericana 'I-214'群落表现出较高的抗火性能。另一方面,双叶小鹅掌楸+女贞、银杏+樟+女贞和女贞+无患子群落的得分较低,排名靠后。需要强调的是,要确保荒地与城市交界处绿地的生态完整性和福祉,必须将监测和监管结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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