地理学报 ›› 2020, Vol. 75 ›› Issue (7): 1386-1405.doi: 10.11821/dlxb202007005

• 青藏高原及人类活动 • 上一篇    下一篇

青藏高原城镇化与生态环境交互影响关系分析

冯雨雪1,2(), 李广东1,2()   

  1. 1. 中国科学院地理科学与资源研究所 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
    2. 中国科学院大学资源与环境学院,北京 100049
  • 收稿日期:2019-05-29 修回日期:2020-04-20 出版日期:2020-07-25 发布日期:2020-09-25
  • 通讯作者: 李广东 E-mail:fengyx.18s@igsnrr.ac.cn;ligd@igsnrr.ac.cn
  • 作者简介:冯雨雪(1996-), 女, 河南信阳人, 硕士生, 主要从事城镇化与生态环境耦合关系研究。E-mail: fengyx.18s@igsnrr.ac.cn
  • 基金资助:
    中国科学院战略性先导科技专项(XDA20040400);国家自然科学基金项目(41971207)

Interaction between urbanization and eco-environment in Tibetan Plateau

FENG Yuxue1,2(), LI Guangdong1,2()   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-05-29 Revised:2020-04-20 Online:2020-07-25 Published:2020-09-25
  • Contact: LI Guangdong E-mail:fengyx.18s@igsnrr.ac.cn;ligd@igsnrr.ac.cn
  • Supported by:
    Strategic Priority Research Program of Chinese Academy of Sciences(XDA20040400);National Natural Science Foundation of China(41971207)

摘要:

科学评估青藏高原城镇化与生态环境交互影响的总体状况,对优化城镇化速度和质量,修复和提升生态环境状态具有重要意义。在梳理青藏高原城镇化与生态环境交互影响研究进展基础上,本文尝试构建一套完整的城镇化与生态环境交互影响分析模型体系,实现从综合评价指数分析、耦合协调度量化、耦合类型识别、解耦路径探索到未来趋势预测的全过程解析。以青藏高原及其省域、地级单元多尺度分析对比为手段,尝试厘清尺度之间的差异性,识别出问题区域,并提出针对性的改进措施。研究发现,青藏高原不同尺度间城镇化综合评价指数呈阶段性上升趋势,青海的整体城镇化指数高于西藏;生态环境指数变化趋势不同,青海呈下降态势,西藏则趋向平稳,各地级单元生态环境指数存在分层现象。青藏高原不同尺度城镇化与生态环境耦合协调度总体呈上升趋势,协调类型由失调衰退类向濒临失调衰退类转变,最后转为勉强协调发展类,基本属于城镇化滞后型。城镇化指数与生态环境指数呈现出强脱钩、弱脱钩交互出现的波动态势,说明不同尺度间存在城镇化与生态环境的负相互作用,消极城镇化现象突出。通过预测,青藏高原各地级单元在未来10年内,系统耦合协调度将稳步上升,但各地增长速度将存在显著差距。

关键词: 城镇化, 生态环境, 耦合协调度, 解耦, 预测, 青藏高原

Abstract:

Scientifically assessing the interaction between urbanization and eco-environment in the Tibetan Plateau is critical for optimization of urbanization speed and quality, and for the restoration and improvement of the eco-environment. Based on previous studies about the interaction between urbanization and eco-environment in the Tibetan Plateau, we established complete analysis models to examine the overall process, including comprehensive evaluation index analysis, coupling coordination degree measurement, coupling type identification, decoupling path exploration, and future trend prediction. We used a multi-scale comparison analysis method to clarify the differences between scales (across the Tibetan Plateau and its provinces and prefecture-level cities), identify the problem regions, and propose customized improvement measures. Here we show that the comprehensive evaluation index of urbanization has experienced a staged upward trend in different scales, and the overall urbanization index of Qinghai is higher than that of Tibet. However, the changing trends of the eco-environment index are different. The changes in eco-environment index of Qinghai show a decreasing trend, whereas Tibet's changes tend to be stable. The eco-environment index of prefecture-level cities is stratified. We also found that the changing trends of coupling coordination degree of urbanization and eco-environment in different scales were overall rising. The coupling type has changed from imbalanced recession type to nearly imbalanced recession type, and finally to grudgingly coordinated development type. However, most of these types are lagged urbanization types. The alternate change trend between strong decoupling and weak decoupling indicates a negative interaction between urbanization and the eco-environment at different scales. Thus, it can be inferred that the lagged urbanization is a prominent phenomenon. The result of predication shows that in the next 10 years the coupling coordination degree of urbanization and eco-environment will increase steadily in all geographic units, but there will be a gap in the growth rate.

Key words: urbanization, eco-environment, coupling coordinated degree, decoupling, predicting, Tibetan Plateau