中文摘要：

基于高分辨率遥感影像、GIS和RS技术,利用转移矩阵、景观指数和地图叠加等方法系统分析了辛庄镇域生态用地演变的时空特征,并引入二项Logistic回归模型,选择到农村居民点的距离、到道路的距离、到河流水系的距离、到村镇中心的距离、人均GDP、人均工业总产值、人均农业总产值、人均收入、人口密度为驱动因子,对研究区主要类型生态用地变化的驱动力进行分析。结果表明：1991~2009年,辛庄镇生态用地空间结构和面积变化剧烈,总体上呈加速缩减趋势。其中,水田面积变化尤为明显,18a间累积减少1 806.61hm2;经济效益较高的水产养殖用地和园地规模有所增长,尤其是水产养殖用地,1991~2009年年均增长43.01hm2,长幅为93.26%。生态用地主要转移去向为水产养殖用地、居住用地和工业用地。生态用地总体上破碎化程度加剧,类型水平上,大体上呈现为破碎度加剧、景观形状日趋规则、优势度逐渐降低、聚集度日益增加的态势。各时段生态用地演变的主要驱动因子均为邻域因子,但随着时间的推移,社会经济因子对生态用地变化的解释效力逐渐增强。

英文摘要：

As one of the most important components of the urban social-economic-natural complex ecosystem, ecological lands provide various critical ecosystem services. As an essential resource for human being, the protection of existing ecological land, the restoration of currently damaged ecological zones, and the return of naturally ecological land are important measures for improving and balancing regionally ecological conditions. These methods are also useful for sustainable development and harmony between human and nature. In view of ecosystem services of ecological land and ecological environment effects of land use and land cover change during rapid urbanization processes, it is necessary to select typical urbanization area to quantify the spatiotemporal characteristics and driving mechanisms of ecological land use change, which plays practical roles in providing spatial strategies for improving regionally ecological security and establishing urban ecological security pattern. The research area of this study is located in Xinzhuang Town of Changshu City, south Jiangsu Province, which experiences the most rapid industrialization across China in the past decades. As time goes by with the acceleration of urbanization, considerable amount of ecological land resource has been consumed with the deteriorated ecological environment and the fragmented landscape. Based on high resolution remote sensing images, integrated with GIS and RS technology, and by utilizing transfer matrix and landscape pattern metrics, this study systematically analyzed the changing characteristics of ecological land in Xinzhuang Town. A logistic regression model has also been employed to analyze the driving forces of the main types of ecological land change, with per capita GDP, per capita gross industrial output, per capita gross agricultural output, per capita income, population density and the distance to nearest rural settlements, major road, river, and village center as possible driving factors. Main conclusions are as follows. During the perio