黄河源区生态系统服务时空变化及权衡协同关系

Spatial-temporal change and trade-off/synergy relationships of ecosystem services in the source region of the Yellow River

  • 摘要: 黄河源区是我国典型的高寒生态脆弱区, 研究其生态系统服务特征及不同服务功能间的权衡协同关系对于区域环境安全和可持续发展有重要意义。本文采用InVEST模型量化了2000—2020年黄河源区产水量、土壤保持、碳储量、生境质量4项生态系统服务, 利用Spearman相关系数分析生态系统服务间的关系, 采用Getis-Ord Gi*统计指数识别生态系统服务冷、热点, 利用GeoDA软件二元局部空间自相关分析对生态系统服务权衡与协同作用进行空间化表达。结果表明: 1) 2000—2020年, 黄河源区产水量和土壤保持呈“先增加后减少再增加”的波动趋势, 碳储量和生境质量呈现微弱降低趋势; 在空间上, 产水量和土壤保持呈“东南高西北低”的分布格局, 碳储量和生境质量高值区集中在研究区中部。2)黄河源区生态系统服务热点区域以中部的林地和草地面积占比最大, 冷点区域主要分布在扎陵湖、鄂陵湖以上的源头区域和研究区北部。3)产水量和生境质量呈权衡关系, 产水量和碳储量由权衡关系转为协同关系, 产水量-土壤保持、碳储量-土壤保持、碳储量-生境质量和土壤保持-生境质量之间呈协同关系。4)在空间格局上, 高-高协同主要分布在研究区中部, 低-低协同主要分布在西部和北部地区, 低-高权衡和高-低权衡分散在研究区的西南部和中北部。研究结果可为黄河源区生态系统服务空间格局优化和生态文明建设提供参考依据。

     

    Abstract: The source region of the Yellow River is a typical alpine ecologically fragile region in China. It is imperative to study the spatio-temporal changes of ecosystem services and their tradeoff/synergy relationships for ecological security and sustainable development in this region. Therefore, in this paper, InVEST model was used to quantify four ecosystem services − water yield, soil conservation, carbon storage and habitat quality in the source region of the Yellow River from 2000 to 2020. The Spearman correlation coefficient method was used to analyze the relationship between ecosystem services, and Getis-Ord Gi* statistical index was used to identify the cold/hot spots of ecosystem services. The trade-offs and synergies of ecosystem services were spatially expressed using GeoDA software for binary local spatial autocorrelation analysis. The results are as follow: (1) From 2000 to 2020, water yield and soil conservation in the source region of the Yellow River showed a fluctuating trend of "increasing, then decreasing and then increasing", while overall, they showed an upward trend with an increase of 139mm and 43.2t/hm2. The carbon storage and habitat quality showed a slight decreasing trend of 0.4% and 1.9%. Spatially, water yield and soil conservation exhibited a distribution pattern of "higher in southeast and lower in northwest". The high-value areas of carbon storage and habitat quality were predominantly located in the central part of the study area. (2) In the source region of the Yellow River, the hot spots area of ecosystem services had the largest proportion of forest land and grassland in the middle of the study area, while the cold spots area was mainly distributed in the source area above Zhaling Lake and Eling Lake and in the northern part of the study area. (3) There was a trade-off relationship between water yield and habitat quality, and the weak trade-off relationship between water yield and carbon storage turned into a weak synergistic relationship in 2020. There was a synergistic relationship between water yield and soil conservation, carbon storage and soil conservation, carbon storage and habitat quality, as well as soil conservation and habitat quality. Trade-offs between ecosystem services were weakened and most synergistic relationships were enhanced. (4) In terms of spatial pattern, there was significant spatial heterogeneity of ecosystem service trade-offs and synergies. High-high synergies were mainly distributed in the central part of the study area, while low-low synergies were mainly located in the western and northern regions. Low-high trade-offs and high-low trade-offs were mainly dispersed in the central and northern regions as well as the southwestern part of the study area.The research results are expected to provide guidance for the optimization of ecosystem service spatial pattern and the construction of ecological civilization in the source region of the Yellow River.

     

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