自然资源学报 ›› 2021, Vol. 36 ›› Issue (10): 2710-2722.doi: 10.31497/zrzyxb.20211018

• 其他研究论文 • 上一篇    

中国与周边国家边境保护地跨境合作潜力分析

李杰1,2(), 付晶1,3, 郭鑫1,3, 张中浩1,3, 李巍岳1,3, 鲍燕妮1, 马施彤4, 王玉仓1, 高峻1,3()   

  1. 1.上海师范大学环境与地理科学学院,上海 200234
    2.美国普渡大学林业与自然资源系,西拉法叶 47907
    3.上海师范大学城市发展研究院,上海 200234
    4.上海师范大学生命科学学院,上海 200234
  • 收稿日期:2020-10-17 修回日期:2021-06-09 出版日期:2021-10-28 发布日期:2021-12-28
  • 通讯作者: 高峻(1962- ),男,上海人,博士,教授,博士生导师,研究方向为景观生态、国家公园与自然保护地规划。E-mail: gaojun@shnu.edu.cn
  • 作者简介:李杰(1991- ),男,江苏常州人,博士研究生,研究方向为景观生态、可持续发展与环境管理。E-mail: jerryli1201@163.com
  • 基金资助:
    中国科学院A类战略性先导科技专项(XDA2002030103);第二次青藏高原综合科学考察研究(2019QZKK0401);世界自然基金会陆地生态功能区分类

The potential of cross-border cooperation in border protected areas between China and neighboring countries

LI Jie1,2(), FU Jing1,3, GUO Xin1,3, ZHANG Zhong-hao1,3, LI Wei-yue1,3, BAO Yan-ni1, MA Shi-tong4, WANG Yu-cang1, GAO Jun1,3()   

  1. 1. School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
    2. Department of Forestry and Natural Resources, Purdue University, West Lafayette 47907, USA
    3. Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
    4. School of Life Science, Shanghai Normal University, Shanghai 200234, China
  • Received:2020-10-17 Revised:2021-06-09 Online:2021-10-28 Published:2021-12-28

摘要:

基于《全球跨界自然保护区名录》中涉及中国的16组名录中的10个国家87个保护地,分析其空间分布规律,应用德尔菲法和层次分析法,选取生态完整性、治理结构匹配、制度文化差异和空间距离交通4个层面的9个指标,建立中国与周边国家边境地区保护地跨境合作潜力指标体系,并进行验证。结果表明:黑龙江省与俄罗斯毗邻边境地区保护地分布最集中,喀喇昆仑山—喜马拉雅山脉地区生态系统完整性较好。通过评价结果遴选出中国(兴凯湖)—俄罗斯、中国(西双版纳)—老挝、中国(塔什库尔干)—巴基斯坦、中国(珠穆朗玛峰)—尼泊尔与印度、中国(长白山)—朝鲜与俄罗斯5组未来跨境合作潜力较高的地区,并针对跨境合作存在的难点提出建议措施。研究可为中国边境保护地跨境合作提供方法参考和借鉴依据。

关键词: 边境保护地, 跨境合作, 潜力指标体系, 跨境合作措施

Abstract:

This study uses the 16 groups (87 protected areas in 10 countries) of China involved in the Global List of Transboundary Nature Reserves published by UNEP-WCMC in 2007 as data sources. By analyzing the laws of its spatial distribution pattern, the evaluation system's overall framework is constructed from four aspects: ecological integrity, governance structure matching, institutional and cultural differences, spatial distance, and transportation. It is further decomposed into nine indicators to establish an indicator system of the potential for cross-border cooperation between border protected areas and Chinese nature reserves. Delphi and AHP are used to quantitatively and empirically analyze relevant indicators. The results show that the most concentrated distribution of protected areas in the border area is adjacent to Heilongjiang province and Russia. The Himalayas and Karakorum Mountains are areas with good ecosystem integrity that bear essential ecological functions and are protected by neighboring countries. Five regions with high potential for future cross-border cooperation were initially selected: China (Xingkai Lake)-Russia, China (Xishuangbanna)-Laos, China (Tashkurgan)-Pakistan, China (Qomolangma)-Nepal and India, China (Baitou Mountain)-DPRK and Russia. This study put forward the difficulties and recommended cross-border cooperation measures and can provide a method reference for cross-border cooperation of China's border protection areas.

Key words: border protected areas, cross-border cooperation, potential index system, cross-border cooperation measures