The Role of Urban Vegetation in Mitigating Fire Risk Under Climate Change: A Review DOI Open Access
Zhang Deshun,

Manqing Yao,

Yingying Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2680 - 2680

Published: March 18, 2025

The confluence of global warming, the urban heat island effect, and alterations in nature underlying surfaces has led to a continuous escalation frequency, scale, intensity fires within green spaces. Mitigating or eliminating adverse effects such on service functions ecosystems, while enhancing resilience greening systems disaster prevention risk reduction, become pivotal challenge modern development management. Academic focus progressively broadened from isolated forest domains encompass more intricate environments Wildland–Urban Interface (WUI) urban–suburban forests, with particular emphasis distinctive characteristics in-depth research. This study employs combination CiteSpace bibliometric analysis narrative literature review comprehensively examine three critical aspects fire safety as follows: (1) evaluation fire-resistant performance landscape plants spaces; (2) mechanisms behavior systems; (3) assessment prediction risks. Our findings indicate that play crucial role controlling spread spaces by providing physical barriers inhibiting combustion processes, thereby mitigating propagation. However, diversity non-native greenery species present challenges. existing research lacks standardized experimental indicators often focuses single-dimensional analyses, leading conclusions are limited, inconsistent, even contradictory. Furthermore, most current models designed primarily for forests wildland–urban interface regions. Empirical semi-empirical dominate this field, yet future advancements will likely involve coupled integrate climate environmental factors. Fire represent hotspot, machine learning- deep learning-based approaches increasingly gaining prominence. These advanced methods have demonstrated superior accuracy compared traditional techniques predicting synthesis aims elucidate state, trends, deficiencies Future should explore screening highly resistant plants, goal bolstering ecological theoretical underpinnings realization sustainable security.

Language: Английский

The Role of Urban Vegetation in Mitigating Fire Risk Under Climate Change: A Review DOI Open Access
Zhang Deshun,

Manqing Yao,

Yingying Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2680 - 2680

Published: March 18, 2025

The confluence of global warming, the urban heat island effect, and alterations in nature underlying surfaces has led to a continuous escalation frequency, scale, intensity fires within green spaces. Mitigating or eliminating adverse effects such on service functions ecosystems, while enhancing resilience greening systems disaster prevention risk reduction, become pivotal challenge modern development management. Academic focus progressively broadened from isolated forest domains encompass more intricate environments Wildland–Urban Interface (WUI) urban–suburban forests, with particular emphasis distinctive characteristics in-depth research. This study employs combination CiteSpace bibliometric analysis narrative literature review comprehensively examine three critical aspects fire safety as follows: (1) evaluation fire-resistant performance landscape plants spaces; (2) mechanisms behavior systems; (3) assessment prediction risks. Our findings indicate that play crucial role controlling spread spaces by providing physical barriers inhibiting combustion processes, thereby mitigating propagation. However, diversity non-native greenery species present challenges. existing research lacks standardized experimental indicators often focuses single-dimensional analyses, leading conclusions are limited, inconsistent, even contradictory. Furthermore, most current models designed primarily for forests wildland–urban interface regions. Empirical semi-empirical dominate this field, yet future advancements will likely involve coupled integrate climate environmental factors. Fire represent hotspot, machine learning- deep learning-based approaches increasingly gaining prominence. These advanced methods have demonstrated superior accuracy compared traditional techniques predicting synthesis aims elucidate state, trends, deficiencies Future should explore screening highly resistant plants, goal bolstering ecological theoretical underpinnings realization sustainable security.

Language: Английский

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