1. 贵州科学院 山地资源研究所,贵州,贵阳,550001
2. 贵州省土地绿色整治 工程研究中心,贵州,贵阳,550001
3. 贵州省黔西南州自然资源局, 贵州 兴义,562400
纸质出版:2022
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肖玖军, 吴凯, 张蓝月, 等. 云贵高原岩溶区生态系统服务功能重要性空间分异研究[J]. 水土保持通报, 2022,42(6):332-342.
Xiao Jiujun, Wu Kai, Zhang Lanyue, et al. Spatial Differentiation of Importance of Ecosystem Services in Karst Area of Yunnan-Guizhou Plateau[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 332-342.
肖玖军, 吴凯, 张蓝月, 等. 云贵高原岩溶区生态系统服务功能重要性空间分异研究[J]. 水土保持通报, 2022,42(6):332-342. DOI: 10.13961/j.cnki.stbctb.20221028.001.
Xiao Jiujun, Wu Kai, Zhang Lanyue, et al. Spatial Differentiation of Importance of Ecosystem Services in Karst Area of Yunnan-Guizhou Plateau[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 332-342. DOI: 10.13961/j.cnki.stbctb.20221028.001.
[目的] 探索云贵高原岩溶区生态系统服务功能重要性的空间分异规律,为保障岩溶区生态系统有效管理和生态安全格局构建提供科学参考。 [方法] 借助地理信息技术测算2019年黔西南州水源涵养、水土保持和生物多样性维护三项生态系统服务功能,分析其空间格局,在此基础上用空间自相关揭示黔西南州生态系统服务重要性的空间异质性规律。 [结果] ①黔西南州生态水平整体较好,生态系统服务功能较高重要性的国土比例大,为区域提供了较好的生态服务,其中水源涵养功能和生物多样性维护功能的重要以上面积比例比水土保持功能突出。 ②以村为单位,单项功能和总体功能的各级重要全局Moran’s I指数均在0.65以上,空间分布呈现较高的空间聚集特性,表现出条带或区块分布,具体各功能的不同等级重要性又表现出差异性。 ③生物多样性维护功能分别与水源涵养功能、水土保持功能的空间自相关聚类结果存在相似性。 ④生态系统服务功能重要性与水土流失和石漠化存在耦合性,空间分异特征受水热条件、地质背景、人为等因素综合作用。 [结论] 研究区生态系统服务功能供给能力较好,同时表现出较强的空间集聚性和异质性。在生态系统管理和生态治理政策制定时,应当考虑生态系统服务功能空间分异特征,科学划定分区,实现分区管理。
[Objective] The spatial variation pattern of ecosystem service importance in karst area of the Yunnan-Guizhou Plateau was examined to provide statistical support for effective management of the ecosystem and maintenance of an ecologically safe pattern in the area. [Methods] The values of three ecosystem services (water conservation
soil and water conservation
and biodiversity conservation) within Qianxinan Prefecture in 2019 were calculated using geographic information technology
and the spatial variation pattern was identified. Spatial heterogeneity of the ecosystem service importance in the region was pinpointed by spatial autocorrelation analysis. [Results] ① The overall ecological health of Qianxinan Prefecture was good. There was a large proportion of land with high ecosystem service importance
providing good ecological services for the region. The proportion of land providing water conservation function and biodiversity conservation function were larger than the proportion of land providing soil and water conservation function. ② Taking the village as a unit of measurement
the Moran’s I index was significantly high (0.65) in valuing the three ecosystem services both individually and aggregately. The study revealed that the research region featured strong spatial clustering with either “strip-shaped” or “block-shaped” ecosystem service clusters
and the functions and values of each cluster differred. ③ Spatial autocorrelation and clustering analyses of biodiversity conservation
water conservation
and soil and water conservation showed similar results. ④ Ecosystem service importance was coupled with soil and water erosion and rocky desertification. Hydrothermal conditions
geological processes
human impacts
and other factors contributed to such spatial variation. [Conclusion] The researched region possesses strong ecosystem service supply capacity with strong spatial clustering and heterogeneity. Such features should be considered in adopting ecosystem management and governance policies. The region should be subcategorized based on the spatial variation patterns of its ecosystem service values
and governed with tailored policies.
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