湖北省潜江市生态系统服务功能价值空间特征

为了揭示生态系统服务功能价值在县级尺度上空间分布状况与特征,运用探索性空间数据分析(ESDA)方法,在已有研究基础上,结合RS/GIS技术,计算潜江市2009年生态系统服务功能价值,分析各样点生态系统服务功能价值强度的全局空间自相关性和局部空间自相关性,并对各样点生态系统服务功能价值强度进行了半变异函数分析、模型模拟和空间插值.结果表明,2009年,潜江市VES总和为190344.45万元.市域空间上生态系统服务功能价值强度呈现明显的全局空间正相关关系,但相关性随距离增加而下降.局部空间自相关模式表现出一个明显的“热核”区及两个明显的“冷极”区.半变异函数分析得到C0=0.005,Co+C=0.447,a=1.68(km),表明数据具有很强的空间自相关性.通过克吕格插值发现生态系统服务功能价值空间分布表现为以西南一东北方向为主轴的高值—低值核心扩散形态.

Spatial characteristics analysis of ecological system service value in QianJiang City of Hubei Province

In order to reveal the spatial distribution characteristics of ecosystem service value on county scale, this paper carries on the land classification of QianJiang City by making use of the multispectral remote sensing image in 2009 of CBERS-02B. And RS/GIS techniques, the paper calculates the ecosystem service value of QianJiang City in 2009, analyzes the spatial autocorrelation and local spatial autocorrelation of ecosystem service value of every sampling point and conducts the semi-variable analysis, model simulation and spatial interpolation. The result indicates that firstly, the overall ecosystem service value of QianJiang City is 1.903 billion yuan in 2009, of which cultivated land and waters make up the main part, respectively accounting for 47.15% and 43.75%. Secondly, the intensity of ecosystem service value on county scale appears obvious overall positive correlation,though the correlation coefficient decreases with increasing distance, which presents significantly positive correlation in 12 km, negative correlation between 12 and 26 km and no correlation 26 km away(P<0.05). Thirdly, the local spatial autocorrelation analysis shows a high-high aggregation and two low-low aggregations (P<0.05). The high-high aggregation is mainly distributed in the southwest of the city while the two low-low aggregations are mainly distributed in north-central and east area. Lastly, the analyzing result of semi-variable function is C₀=0.005,C₀ + C =0.447,a=1.68km, which indicates that the data has a strong spatial autocorrelation. By Kriging interpolation we find out that the ecosystem service value declines from extremely high value in southwest area to low value in northeast area, displaying a diffusion pattern that takes the southwest to northeast as the main axis. In general, the analysis results of the study area's ecosystem service value accord with the natural condition and economic development in QianJiang City.