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典型高原高寒气候区生态系统碳储量演变规律探究——以四川省三州地区为例

An investigation on the evolution of carbon stocks in ecosystems of subtypical highland alpine climate zones: Take the three states in Sichuan Province as an example

  • 摘要: 碳储量在维持生态系统平衡中扮演着举足轻重的作用。高原高寒气候区因其得天独厚的自然禀赋拥有丰富的碳储量,对其碳储量进行估算并分析,对协调与优化区域土地利用格局、提高区域生态系统碳储量潜力具有重要参考价值。以典型高原高寒气候区-四川省三州为例,了解2000~2020年土地利用变化,估算其碳储量时空变化,并分析其区县碳储量空间自相关。结果如下:(1)20年间研究区草地及林地占比最大,占四川三州总面积的90%以上;2000~2020年土地利用转移面积占总面积的5.28%,湿地的转换概率最大。(2)2000年、2010年、2020年碳储量分别为3116.24×106 t、3115.31×106 t、3112.68×106 t,呈现持续减少趋势;20年间,共有24个区县碳储量上升,24个区县碳储量下降,表明研究区碳储量变化在区县上呈现分化状态。(3)全局自相关结果表明,研究区在区县碳储量上呈正相关;局部自相关结果表明,碳储量出现高-高聚集区域在四川三州西部,出现低-低聚集的区域在四川三州南部。本研究有助于深入了解四川三州碳储量时空演变情况,并助力其县域生态文明建设及“双碳”目标实现。

     

    Abstract: Carbon stocks play a pivotal role in maintaining ecosystem balance. Due to its unique natural endowment, the highland alpine climate zone has rich carbon stocks, and the estimation and analysis of its carbon stocks are of great reference value for coordinating and optimizing the regional land-use pattern and improving the potential of regional ecosystems in terms of carbon stocks. Taking the subtypical plateau alpine climate zone-Three Prefectures of Sichuan as an example, to understand the land use changes from 2000 to 2020, to estimate the spatial and temporal changes of its carbon stock, and to analyze the spatial autocorrelation of its district and county carbon stocks. The results are as follows: (1) Grassland and woodland accounted for the largest proportion of the study area during the 20-year period, accounting for more than 90% of the total area of the study area; the area of land use transfer from 2000 to 2020 accounted for 5.28% of the total area, and wetlands had the highest probability of conversion. (2) Carbon stocks in 2000, 2010 and 2020 were 3116.24×106, 3115.31×106 and 3112.68×106, respectively, showing a continuous decreasing trend; during the 20-year period, a total of 24 districts and counties saw an increase in carbon stocks and 24 districts and counties saw a decrease in carbon stocks, indicating that changes in carbon stocks in the study area showed a differentiated state in terms of districts and counties. (3) The global autocorrelation results show that the study area is positively correlated in terms of carbon stocks in the districts and counties; the local autocorrelation results show that the areas where carbon stocks appear to be highly aggregated are in the western part of the study area, and the areas where they appear to be lowly aggregated are in the southern part of the study area. This study contributes to an in-depth understanding of carbon stocks in the three prefectures of Sichuan and assists in the construction of ecological civilization and sustainable development in their counties.

     

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