Time Series of Land Ecosystem Classification Dataset of China in Five Yearly Steps
XU Xinliang1LIU Jiyuan1ZHANG Zengxiang2ZHOU Wancun3ZHANG Shuwen4LI Rendong5YAN Changzhen6WU Shixin7SHI Xuezheng8
1State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences2Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences3Chengdu Institute of Mountain Hazards and Environment Chinese Academy of Sciences4Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences5Wuhan Institute of Geodesy and Geophysics Chinese Academy of Sciences6Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences7Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences8Nanjing Institute of Soil Science Chinese Academy of Sciences
Visitors：6187 Data Files Downloaded：6322
Data Downloaded：491226.09 MB Citations：
China,ecosystem classification,spatial changes,five yearly step,time series
Time Series of Land Ecosystem Classification Dataset of China in Five Yearly Steps is consisted of 7 land ecosystem types of China. They are: farmland ecosystem, forest ecosystem, grassland ecosystem, wetland ecosystem, resident ecosystem, desert ecosystem and others. The raster data is in 100 meters pixels. The time series of data products indicate that the wetland changes of China are not very much during the last 25 years, the resident including urban ecosystem increased from 1.65%（1990）to 2.09%（2010）；the farmland ecosystem increased from 18.65%（1990）to 18.80%（2010）. However, grassland ecosystem decreased from 31.98%（1990）down to 31.56%（2010）and forest ecosystem decreased from 23.74% down to 23.64%（2010）.The fluctuating fugues are shown for each ecosystems during the 25 years.
XU Xinliang,LIU Jiyuan,ZHANG Zengxiang,ZHOU Wancun,ZHANG Shuwen,LI Rendong,YAN Changzhen,WU Shixin,SHI Xuezheng.2015.Time Series of Land Ecosystem Classification Dataset of China in Five Yearly Steps ( ChinaEco100 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2015.01.01.V1