生态系统服务价值与人类活动的时空关联分析——以长江中游华阳河湖群地区为例

以1990、2002和2010年华阳河湖群地区LandSat TM影像为数据源，构建生态系统服务价值评估模型、生态系统服务价值流向损益模型和人类活动强度评估模型，应用双变量空间自相关分析生态系统服务价值和人类活动强度的时空关联特征.结果表明：1990~2010年生态系统服务价值持续减少，水域、湿地转为耕地和建设用地是价值损失的主要原因.生态系统服务价值高值区在中部和东北部水域，湖滨价值量减少最严重，北部地区价值量增加，南部减少.人类活动强度低影响区位于水域，中高影响区和中影响区交错分布于北部地区，高影响区集中在南部和西南部地区.3个时期生态系统服务价值和人类活动强度均呈空间负相关，高-低聚集分布于南部和西南部，低-高聚集主要分布于水域.

Spatial-temporal correlation analysis of ecosystem services value and human activities-a case study of Huayang lakes area in the middle reaches of Yangtze River

Based on multi-temporal remote-sensing images (1990, 2002, 2010) in the Huayang Lakes area, a typical lakes area in Yangtze river basin, we built the Ecosystem Services Value (ESV) assessment model using the equivalent factor method and developed the ecosystem service flow gain-and-loss matrix. Meanwhile, a human activity intensity index (HAI) was introduced and correlated with ESV by bivariate spatial autocorrelation method. The results indicated that:The ESV decreased continuously for 20years mainly resulted from the conversions of water area, tidal-flat area into cultivated land and construction land. From 1990to 2010, the lakeside area showed a massive reduction in ESV. The high ESV areas were distributed mainly in the central and northeastern lake areas because of the returning from farmland to forest in hilly areas. The southern lake areas decreased substantially with the decreased area expanded because of the agricultural bases and new cities construction. The supply and support services functions had been strengthened, conversely, the regulation and cultural services had been weakened. Spatially, human activities intensity was dominated by low-intensity, medium-intensity and medium-high intensity. The low-intensity human activities were mainly distributed around lake areas, with medium-intensity and medium-high intensity interlaced in the northern region and high-intensity in the southern and southwestern regions. According to the bivariate spatial autocorrelation analysis, HAI was discovered to have the significant negative correlation with ESV. Spatial correlation was significant and the degree of spatial agglomeration was relatively high in the study area. The bivariate LISA figures between HAI with ESV showed the high-low clusters located near the south shore of lakes and the low-high groups mainly gathered in the center water area. It is vital to establish the regional differentiated utilization management policies under the principle of ecological and economy coordinated development in this region and even in the whole Yangtze River basin.