| 摘要: |
| 在“2020后全球生物多样性框架”制定和长江大保
护国家重大战略需求下，有必要开展国际视野下的长江流域自
然保护地体系优化研究。通过国际比较、空间荟萃分析、个案
研究，基于“保护价值-人为干扰”分析框架，对全球大河流
域自然保护优先度及自然保护地现状进行评价，筛选出亚马逊
河、湄公河、育空河、多瑙河4个典型案例，剖析其自然保护
地体系优化路径异同。研究发现：1)长江流域整体属于“高价
值-高干扰”区域，局地存在较大空间差异；2)国际大河流域
自然保护地体系的治理主体和途径存在普遍共性，但在空间优
化模式和关键议题上存在显著差异。最后，从治理主体、驱动
力、治理途径、空间优化模式、关键议题等方面提出长江流域
自然保护地体系优化路径建议。 |
| 关键词: 风景园林 自然保护地体系 长江 大河流域 优
化路径 |
| DOI： |
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| 基金项目: |
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| Research on the Optimization Path of Protected Area System in the Yangtze River Basin: Based on the Comparative Analysis of International Big River Basins |
| PENG Lin,HE Qinxuan,CAO Yue,ZHANG Yin |
| Abstract: |
| In the age of developing the post-2020 global
biodiversity framework and the national major strategy of Yangtze
River conservation, exploring the optimization of protected area
system in the Yangtze River basin from an international perspective
has become essential. Through international comparison, spatial
meta-analysis and case studies, an analytical framework based
on conservation value and human disturbance was established to
evaluate the priority of nature conservation and current status of
protected areas in the big river basins globally. Four typical cases
were selected, including the Amazon, the Mekong, the Yukon and
the Danube river basins, to analyze the similarities and differences
of optimization paths of protected area system. This research
revealed that: 1) The Yangtze River basin as a whole belongs to
the area of 'high value-high interference', with large internal spatial
differentiation; 2) Similarities can be found in governance bodies
and tools of protected area system in the international big river
basins, while differences are showcased in spatial optimization
models and key issues. Finallly the optimization path of protected
area system in the Yangtze River Basin was proposed from five
aspects of governance subject, driving force, governance tools,
spatial optimization model, and key issues. |
| Key words: landscape architecture protected area system Yangtze
River big river basin optimization path |
