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城市景观格局演变驱动因子及其特征研究综述

杨筠慧 史文娇 周伟奇 王江浩 钱雨果 王伟民

生态学报2024,Vol.44Issue(22):10486-10498,13.
生态学报2024,Vol.44Issue(22):10486-10498,13.DOI:10.20103/j.stxb.202312122708

城市景观格局演变驱动因子及其特征研究综述

A review on the driving factors and their characteristics in urban landscape pattern changes

杨筠慧 1史文娇 1周伟奇 2王江浩 3钱雨果 2王伟民4

作者信息

  • 1. 中国科学院地理科学与资源研究所,陆地表层格局与模拟院重点实验室,北京 100101||中国科学院大学资源与环境学院,北京 100049
  • 2. 中国科学院生态环境研究中心,城市与区域生态国家重点实验室,北京 100085||中国科学院大学资源与环境学院,北京 100049
  • 3. 中国科学院地理科学与资源研究所,资源与环境信息系统国家重点实验室,北京 100101||中国科学院大学资源与环境学院,北京 100049
  • 4. 广东省深圳生态环境监测中心站,深圳 518049
  • 折叠

摘要

Abstract

Identifying the driving factors of urban landscape pattern changes is key to better understanding the dynamic patterns,processes and influences of urban landscapes,which is crucial for optimizing and predicting of urban landscape patterns and for formulation of urban spatial planning and policies.We systematically reviewed the drivers of changes in urban landscape patterns,generally divided into human activities and natural factors.Human activities,especially population change,economic development,and policies,are the primary driving forces of urban landscape pattern changes,particularly over shorter time scales.Natural factors,such as topography,climate,and water resources,provide the material foundation and environmental conditions shaping urban landscape patterns,primarily determining the spatial pattern of cities over long periods.In addition,we summarized the quantitative analysis models of the drivers of urban landscape pattern changes,including empirically based statistical models and process-based dynamic models.Statistical models dominate in the quantitative analysis of driving factors of urban landscape changes and are classified according to their correlation relationships into linear,non-linear relationship,spatial relationship and causality models.Process-based dynamic models,including the system dynamics model,cellular automata model,and multi-agent system model,effectively simulate the operation of systems by deeply understanding various driving forces and analyzing interactions among the internal components of the system.Furthermore,we clarified the spatio-temporal and scaling heterogeneity patterns of driving factors of urban landscape pattern changes at different scales,including global,national,agglomeration and city levels,as well as the direct and indirect effects of different driving factors.The degree and direction of influence of drivers of urban landscape pattern changes vary regularly over time,differ between regions,and change with the spatial scale of the study unit.Moreover,these drivers are not isolated from each other,and there are complex interactions between them.Changes in these drivers can directly affect the spatial configuration of urban landscapes,and the interactions between different factors can also have indirect effects.Finally,we identified future research directions for the study of driving factors of urban landscape pattern changes,including temporal attribution analysis of urban landscape pattern changes,spatial effects and feedback mechanisms of urban social-ecological landscape patterns and their driving factors,and cross-scale interaction analysis of driving factors influencing urban landscape pattern changes.

关键词

城市景观格局/时空异质性/多尺度/主控因子/驱动力

Key words

urban landscape pattern/spatiotemporal heterogeneity/multi-scales/dominant influence factor/driving forces

引用本文复制引用

杨筠慧,史文娇,周伟奇,王江浩,钱雨果,王伟民..城市景观格局演变驱动因子及其特征研究综述[J].生态学报,2024,44(22):10486-10498,13.

基金项目

国家重点研发计划项目(2022YFF1301101) (2022YFF1301101)

国家自然科学基金项目(42330707) (42330707)

生态学报

OA北大核心CHSSCDCSTPCD

1000-0933

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