基于系数修正的典型黑土区生态系统服务价值时空变化分析——以吉林省梨树县为例

    Ecosystem service value of typical black soil region based on coefficient correction: A case study of Lishu County

    • 摘要: 社会发展和城镇化进程对东北黑土区的生态系统产生负面影响,准确核算生态系统服务价值(ecosystem service value, ESV)对区域协调发展意义重大。选择吉林省梨树县为研究对象,以梨树县2000—2020年间土地利用类型数据为基础,利用ArcGIS软件通过修正系数和居民消费价格指数(comsumer price index, CPI)的方式估算研究区的ESV,采用1 km×1 km网格分析梨树县ESV的空间演变特征。结果表明: ①在这期间,梨树县ESV先增后减,最高值为2010年的71.71×108元,最低值为2000年的24.47×108元; ②就典型黑土区而言,土壤保持、气候调节、食物生产、气体调节和水文调节5类功能服务价值在所有11个单项ESV中贡献度最高; ③在空间上,梨树县中部区域的单位面积ESV明显低于西部和东南部,高-高型聚集区主要分布在梨树县东南部和西部,低-低型聚集区主要散布在梨树县中部。分析发现,通过整合玉米种植面积、产量及市场价格等核心指标,并运用CPI对2000—2020年3期数据进行修正的方法评估研究区ESV时空演变,可以有效提升ESV的评估精度,为黑土区土地结构调整和生态环境保护提供更可靠的数据参考。

       

      Abstract: The social development and urbanization process have a negative impact on the ecosystem of the black soil region in Northeast China, and accurate accounting of ecosystem service value (ESV) is of great significance to regional coordinated development. Lishu County of Jilin Province was taken as a study case and the land use type data of Lishu County during the period of 2000—2020 were set as basis. Then, the ESV was estimated by means of correction coefficients and consumer price index (CPI) by ArcGIS software, and the spatial evolution characteristics of ESV in Lishu County was researched by using 1 km×1 km grid. The results showed that during the 20-year period, the ESV in Lishu County increased and then decreased, with the highest value of 71.71×108 yuan in 2010 and the lowest value of 24.47×108 yuan in 2000. The five functional service categories of soil conservation, climate regulation, food production, gas regulation and hydrological regulation contributed the most among the value of all 11 individual ecosystem services. Spatially, the ESV per unit area in the central region of Lishu County was significantly lower than that in the west and southeast. The high-high aggregation areas were mainly distributed in the southeast and west of Lishu County, and the low-low aggregation areas were mainly distributed in the middle of Lishu County. The analysis found that it could effectively improve the evaluation accuracy of ESV by integrating the core indicators, such as corn planting area, yield and market price and by using the CPI index to correct the three-stage data from 2000 to 2020 for the temporal and spatial evolution of ESV in the study area. And it could provide more reliable data reference for land structure adjustment and ecological environment protection in black soil area.

       

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