长江流域资源与环境 >> 2024, Vol. 33 >> Issue (2): 310-321.doi: 10.11870/cjlyzyyhj202402007

• 自然资源 • 上一篇    下一篇

洞庭湖流域典型生态系统服务评估及权衡/协同关系研究

廖江博1,2,毛德华1,2*,邓美容1,2
  

  1. (1.湖南师范大学地理科学学院,湖南 长沙 410081;2. 洞庭湖流域生态环境变化与固碳增汇湖南省重点实验室,湖南 长沙 410081)
  • 出版日期:2024-02-20 发布日期:2024-03-06

Evaluation of Typical Ecosystem Services and Trade-Offs/Synergies in Dongting Lake Basin

LIAO Jiang-bo1,2, MAO De-hua1,2, DENG Mei-rong1,2   

  1. (1. School of Geographical Sciences,Hunan Normal University,Changsha 410081,China; 2. Hunan Provincial 
    Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin, Changsha 410081,China)
  • Online:2024-02-20 Published:2024-03-06

摘要:  运用InVEST模型、GIS空间分析等方法,在子流域尺度上探究洞庭湖流域2000~2020年生态系统服务的时空特征,进而利用耦合协调度模型和地理探测器模型对水产出、水质净化、碳存储等三项关键生态系统服务进行权衡/协同分析。结果表明:(1)洞庭湖流域生态系统服务的水产出服务和水质净化服务在不断地强化,而碳存储服务在不断地弱化。各项生态系统服务功能在空间上亦表现出差异性,2000和2010年水产出东南多于西北,到了2020年,西北部水产出出现最大值;N、P输出量的分布规律大体上上游少于下游,东部多于西部;碳存储则是在洞庭湖区最少,高值集中在上游区。(2)2000~2020年,整个流域两两生态系统服务之间处于中度协同水平,并向良好协同水平发展,两两生态系统服务存在明显的时空分布格局的差异。(3)洞庭湖流域生态系统服务之间非线性动态关系的形成受到自然和人文因素的影响,主要包括地形地势与气候变化、土地利用类型与分布格局,以及人类活动的干扰等,且自然因素的影响程度要大于人文因素。研究结果可为洞庭湖流域生态保护补偿机制建设提供理论依据。

Abstract: The spatio-temporal characteristics of ecosystem services in Dongting Lake Basin during 2000-2020 were investigated by InVEST model and GIS spatial analysis at sub-watershed scales. The trade-off/synergy analysis of three key ecosystem services such as water yield, water purification and carbon storage was carried out using the coupling coordination degree model and the geodetector model. The results showed that: (1) Water yield services and water purification services were continuously strengthened, while carbon storage services were continuously weakened. In terms of spatial variability, water yield in the southeast was higher than that in the northwest in 2000 and 2010. In 2020, water yield in the northwest was the maximum. The distribution of N and P output was less in the upstream than in the downstream, and higher in the east than in the west. The carbon storage was the least in Dongting Lake area and the highest value was concentrated in the upstream area. (2) From 2000 to 2020, the pairwise ecosystem services in the whole basin were at a moderate level of synergy, and developed to a good level of synergy. There was an obvious difference in the spatial and temporal distribution pattern of pairwise ecosystem services. (3) The formation of nonlinear dynamic relationship between ecosystem services in Dongting Lake Basin was influenced by natural and human factors, including terrain and topography, climate change, land use type and distribution pattern, and human interference. The degree of influence of natural factors was greater than human factors. These results may provide theoretical basis for the construction of ecological protection compensation mechanism in Dongting Lake Basin.

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