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基于不同收敛交叉映射算法的土地利用变化对环境热舒适度的时空响应因果分析

唐立娜 梁枫迪 颜金珊 何秋琴 王宁 杨晨 张雨辰 郑欣雨 王琳

生态学报2025,Vol.45Issue(12):5619-5636,18.
生态学报2025,Vol.45Issue(12):5619-5636,18.DOI:10.20103/j.stxb.202410182551

基于不同收敛交叉映射算法的土地利用变化对环境热舒适度的时空响应因果分析

Spatiotemporal causal analysis of land use change impacts on environmental thermal comfort using convergent cross-mapping algorithms

唐立娜 1梁枫迪 2颜金珊 2何秋琴 2王宁 3杨晨 2张雨辰 4郑欣雨 2王琳1

作者信息

  • 1. 中国科学院城市环境研究所区域与城市生态安全全国重点实验室,厦门 361021
  • 2. 中国科学院城市环境研究所区域与城市生态安全全国重点实验室,厦门 361021||中国科学院大学,北京 100049
  • 3. 天津大学建筑学院,天津 300072||厦门市城市规划设计研究院有限公司,厦门 361012
  • 4. 中国地质大学(武汉),武汉 430074
  • 折叠

摘要

Abstract

Urbanization leads not only to rising temperatures in urban areas but also to dramatic alterations in local microclimatic conditions,which in turn affect human thermal comfort,a crucial factor for health and wellbeing.Although past research has predominantly focused on the correlation between urbanization and ambient temperature,few studies have explored the causal mechanisms of thermal comfort-a more comprehensive and integrated indicator-across varying urban contexts.This gap in the literature is particularly significant as the influence of urban form and land use on thermal comfort is characterized by complex spatial and temporal heterogeneity.Such complexity presents a formidable challenge when attempting to conduct systematic,large-scale,and long-term analyses.To address these challenges,this study adopts innovative analytical methods that incorporate both spatial diversity and temporal dynamics.Specifically,it integrates Multispatial Convergent Cross Mapping(multispatialCCM)and Geographical Convergent Cross Mapping(GCCM)to identify and quantify the nonlinear causal relationships between different types of land use and urban thermal comfort.The multispatialCCM approach utilizes the reconstruction of time series data from various spatial units,which allows for the detection of hidden causal links that standard correlation analyses might miss.Meanwhile,the GCCM method enhances this analytical framework by incorporating geographical adjacency characteristics,thereby increasing the robustness and reliability of the spatial causal inferences drawn from the data.The study focuses on Fujian Province,examining different scales of built-up areas over an extended period from 2005 to 2022,with an additional focus on varied regional contexts in 2022.The analysis reveals that in small-to-medium and medium-built-up areas,there is a significantly positive causal relationship between the expansion of construction land and thermal comfort degradation,with P-values of 0.037 and 0.015 respectively,indicating the statistical significance of these effects.Notably,the adverse impacts of such expansion are even more pronounced in these urban scales.In contrast,within large-scale built-up areas,the presence of bare land is found to exacerbate heat stress,whereas the influence of farmland is not uniform and depends substantially on regional characteristics and local environmental contexts.Moreover,the study highlights that forest cover exhibits the most substantial beneficial effect on improving urban thermal comfort.In comparison,while grasslands,shrubs,and water bodies do contribute to thermal regulation,their effects are generally weaker and subject to variability across different regions;in some cases,these land use types might even have unfavorable outcomes under specific environmental conditions.Based on these findings,the research advocates for urban planning strategies that are tailored to the specific scales of built-up areas.It recommends an increase in forest,grassland,and shrub coverage,alongside an optimized configuration of water bodies,to mitigate the negative impacts of urban heat and to promote more balanced urban microclimates.Overall,this research provides robust scientific evidence for integrating thermal comfort considerations into urban planning and environmental management.The adoption of advanced causal inference methods such as multispatialCCM and GCCM not only deepens our understanding of the complex interplay between land use and thermal comfort but also offers critical theoretical and practical insights for developing sustainable urban environments in the context of ongoing urbanization challenges.

关键词

土地利用变化/热舒适度/收敛交叉映射算法/因果分析/城市规模

Key words

land use change/thermal comfort/convergent cross mapping algorithm/causal analysis/urban scale

分类

建筑与水利

引用本文复制引用

唐立娜,梁枫迪,颜金珊,何秋琴,王宁,杨晨,张雨辰,郑欣雨,王琳..基于不同收敛交叉映射算法的土地利用变化对环境热舒适度的时空响应因果分析[J].生态学报,2025,45(12):5619-5636,18.

基金项目

国家重点研发计划课题(2022YFF1301302) (2022YFF1301302)

福建省自然科学基金资助项目(2022J05096) (2022J05096)

生态学报

OA北大核心

1000-0933

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