Vegetation is the essential cornerstone of ecosystem cycling, Leaf area index (LAI) is a key parameter to characterize vegetation growth statue. In this study, Jiangsu province as an important coastal province was chosen as the study area, the finished product data of LAI with 500-meter resolution acquired from MODIS sensor were used to reflect the vegetation statue variation and assess the ecological environment. The variation of the mean LAIs in the whole year, in the withering period and in the flourishing period of 2005, 2008, 2011, 2014, 2017 were explored, their spatial distributions were mapped, the stability and trend of vegetation variation were assessed respectively based on the coefficient of variation (CV) and variation rate (VR), the future vegetation statue was simulated by integrating Cellular Automata model and Markov model. Results showed that the mean LAI values in above three periods of 2017 were respectively 0.82, 0.34 and 1.6. From 2005 to 2017, the variation of the mean LAI values was flat except that in flourishing period, their spatial distributions were similar at the same period, northern vegetation statue was better than that in the south especially in the flourishing period. The stability in the whole year was the best of three periods, that in suburban areas was generally better than that in urban areas. Stable trend dominated Jiangsu province all the time, the vegetation in the flourishing period was significantly fluctuant. The vegetation would generally show an improving trend in future six years after 2017.
Ecological land provides goods and services that have direct or indirect benefic to eco-environment and human welfare. In recent years, researches on ecological land have become important in the field of land changes and ecosystem management. In the study, a multi-scale classification scheme of ecological land was developed for land management based on combination of the land-use classification and the ecological function zoning in China, including eco-zone, eco-region, eco-district, land ecosystem, and ecological land-use type. The geographical spatial unit leads toward greater homogeneity from macro to micro scale. The term “ecological land-use type” is the smallest one, being important to maintain the key ecological processes in land ecosystem. Ecological land-use type was categorized into main-functional and multi-functional ecological land-use type according to its ecological function attributes and production function attributes. Main-functional type was defined as one kind of land-use type mainly providing ecological goods and function attributes, such as river, lake, swampland, shoaly land, glacier and snow, while multi-functional type not only providing ecological goods and function attributes but also productive goods and function attributes, such as arable land, forestry land, and grassland. Furthermore, a six-level grid encoding mode was proposed for modern management of ecological land and data update under cadastral encoding. The six-level irregular grid encoding from macro to micro scale included eco-zone, eco-region, eco-district, cadastral area, land ecosystem, land ownership type, ecological land-use type, and parcel. Besides, the methodologies on ecosystem management were discussed for integrated management of natural resources in China.