【摘要】 基于2000、2010和2020年3个时点的土地利用数据，采用探索性空间数据分析方法探究南四湖流域土地利用与生态系统服务价值(ESV)强度的空间分布格局，并利用双变量Moran的I方法探讨了ESV强度与土地利用程度的空间耦合关系.结果表明：2000、2010和2020年南四湖流域ESV总值分别为416.23亿元、523.25亿元和424.16亿元，其中研究区ESV的贡献主体为耕地和水体；各类用地存在空间相关性，且性质为正(P<0.05),但各类用地的空间聚集特征各异，未利用地和耕地的聚集性逐步削弱，而建设用地则增强.半变异函数分析表明，ESV强度具有很强的空间自相关性，高值区主要分布于南四湖湖区，低值区集中于人口活动活跃的城镇和耕地集中区；土地利用程度与ESV强度在空间上呈显著负相关(P<0.05),极显著相关区域主要在南四湖湖区.更多还原

【Abstract】 Based on land-use data in three time points in 2000,2010,and 2020,the exploratory spatial data analysis method was used to explore the spatial distribution pattern of land use and ESV intensity in Nansi Lake Basin(NLB),and the spatial coupling relationship between ESV intensity and land-use degree was studied by the bivariate Moran’s I method. The results showed that the total value of ESV in the NLB in 2000,2010,and 2020 was 416.23 billion yuan, 523.25 billion yuan, and 42.416 billion yuan, in which cultivated land and water had the largest contribution. The spatial correlation of land-use types was generally positive(P<0.05). The characteristics of spatial aggregation by different land-use types were significantly different. The aggregation of unutilized land and cultivated land decreased gradually, while the aggregation of construction land increased. The analyzing result of the semi-variable function indicates that the ESV intensity has a strong spatial autocorrelation. The high-value area is mainly distributed in the Nansi Lake area, while the low-value area is concentrated in the towns with active population and concentrated cultivated land. Land-use degree and ESV intensity(P<0.05) have a significant spatial negative effect, and the most significant related areas are mainly located in the Nansi Lake area.更多还原