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作 者:李杰 付晶 郭鑫[1,3] 张中浩 李巍岳[1,3] 鲍燕妮 马施彤[4] 王玉仓 高峻[1,3] LI Jie;FU Jing;GUO Xin;ZHANG Zhong-hao;LI Wei-yue;BAO Yan-ni;MA Shi-tong;WANG Yu-cang;GAO Jun(School of Environmental and Geographical Sciences,Shanghai Normal University,Shanghai 200234,China;Department of Forestry and Natural Resources,Purdue University,West Lafayette 47907,USA;Institute of Urban Studies,Shanghai Normal University,Shanghai 200234,China;School of Life Science,Shanghai Normal University,Shanghai 200234,China)
机构地区:[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479073 [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
出 处:《自然资源学报》2021年第10期2710-2722,共13页Journal of Natural Resources
基 金: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)。
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。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 crossborder 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.
关 键 词:边境保护地 跨境合作 潜力指标体系 跨境合作措施
分 类 号:X36[环境科学与工程—环境工程]
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