How do landscape patterns affect cooling intensity and scale? Evidence from 13 primary urban wetlands in China

• Multi-ring buffer was used to quantify the significant cooling effect of wetlands. • Random forest model was used to quantify the potential cooling effect of wetlands. • IWPS, NP, and PA significantly influenced the cooling effects. • LA emerged as a key factor affecting potential cooling effects. Urban wetlands are important blue–green spaces in cities and, hence, play a pivotal role in regulating local urban ecological environments and thermal conditions. However, despite their significance, studies on the cooling effects of urban wetlands, as well as the influencing factors, remain limited. This study used multi-ring buffer analysis and random forest (RF) model to calculate the significant and potential cooling scales and intensities in urban wetlands. More specifically, we introduced four indicators, integrated patch diversity and proximity (IPDP), integrated wetland proximity and shape (IWPS), patch aggregation (PA), and logarithmic area (LA), to enhance urban wetland characteristic representation, and conducted correlation analyses to investigate their relationships with the cooling effects. The results revealed significant cooling scale and cooling intensity ranges across the 13 urban wetlands. Similarly, potential cooling scales varied from 10,284 to 44,408 m, with potential cooling intensities ranging from 0.35 to 1.81 ℃. Notably, factors such as IWPS, number of patches (NP), and PA significantly influenced the cooling effects, whereas LA emerged as a key factor affecting potential cooling effects. This study highlights the importance of urban wetlands in reducing urban thermal conditions, and advances the understanding of their cooling effects.

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Publication Details

Journal
Ecological Indicators
Published
2024-09-01
DOI
https://doi.org/10.1016/j.ecolind.2024.112574
Citations
12
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
2.47

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article

How do landscape patterns affect cooling intensity and scale? Evidence from 13 primary urban wetlands in China

Ruci Wang, Yuji Murayama, Yangyang Yan, Hao Hou et al.
12 citations
Ecological Indicators
Urban Heat Island Mitigation
2.47
article

How do landscape patterns affect cooling intensity and scale? Evidence from 13 primary urban wetlands in China

Ruci Wang, Yuji Murayama, Yangyang Yan, Hao Hou, Tangao Hu
article en
12 citations

Abstract

• Multi-ring buffer was used to quantify the significant cooling effect of wetlands. • Random forest model was used to quantify the potential cooling effect of wetlands. • IWPS, NP, and PA significantly influenced the cooling effects. • LA emerged as a key factor affecting potential cooling effects. Urban wetlands are important blue–green spaces in cities and, hence, play a pivotal role in regulating local urban ecological environments and thermal conditions. However, despite their significance, studies on the cooling effects of urban wetlands, as well as the influencing factors, remain limited. This study used multi-ring buffer analysis and random forest (RF) model to calculate the significant and potential cooling scales and intensities in urban wetlands. More specifically, we introduced four indicators, integrated patch diversity and proximity (IPDP), integrated wetland proximity and shape (IWPS), patch aggregation (PA), and logarithmic area (LA), to enhance urban wetland characteristic representation, and conducted correlation analyses to investigate their relationships with the cooling effects. The results revealed significant cooling scale and cooling intensity ranges across the 13 urban wetlands. Similarly, potential cooling scales varied from 10,284 to 44,408 m, with potential cooling intensities ranging from 0.35 to 1.81 ℃. Notably, factors such as IWPS, number of patches (NP), and PA significantly influenced the cooling effects, whereas LA emerged as a key factor affecting potential cooling effects. This study highlights the importance of urban wetlands in reducing urban thermal conditions, and advances the understanding of their cooling effects.

Ecological IndicatorsVol. 166
University of Tsukuba (JP), Chiba University (JP), Hangzhou Normal University (CN), Northeast Institute of Geography and Agroecology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 11%
Urban Heat Island Mitigation
2.47
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