中国八大沙漠区湖泊时空分布数据集(2000-2019)

Spatial Distributions of Lakes across the Eight Largest Deserts of China(2000-2019)

沙漠湖泊是维持沙漠地区生物多样性和生态系统稳定的重要环节,及时准确掌握其时空变化特征对揭示区域水循环和生态环境变化具有重要意义。本研究基于全球地表水数据集(JRCGSW和GLAD),以中国八大沙漠(塔克拉玛干沙漠、古尔班通古特沙漠、库姆塔格沙漠、柴达木沙漠、巴丹吉林沙漠、腾格里沙漠、乌兰布和沙漠、库布齐沙漠)地区的湖泊为研究对象,结合人工判读与质量控制,形成了2000-2019年间中国八大沙漠的湖泊时空分布数据集。空间数据包括:(1)中国八大沙漠的湖泊年内最大水体范围分布数据(.shp);(2)中国八大沙漠的湖泊年内永久水体分布数据(.shp)。表格数据包括:(1)2000-2019年逐年中国沙漠湖泊最大水体数量与面积统计;(2)2000-2019年逐年中国沙漠湖泊永久水体数量与面积统计。数据集存储为.shp格式,由321个数据文件组成,数据量为32.3 MB(压缩为1个文件,13.4 MB)。

Desert lakes are an essential link in maintaining the biodiversity and ecosystem stability in desert areas. A timely and accurate understanding of their temporal and spatial characteristics is significant for revealing the regional water cycle and ecological environmental changes. This study is based on the global surface water datasets(JRC GSW and GLAD). The research objects are China’s eight deserts(Taklimakan, Gurbantungut, Kumtagh, Chaidamu, Badain Jaran, Tengger, Ulan Buh, and Hobg Deserts), which are combined with manual interpretation and quality control to form a dataset of the spatial and temporal distribution of lakes in China’s eight significant deserts from 2000 to 2019. The spatial data include:(1) the maxextent water body distribution data of lakes in China’s eight deserts during the year(.shp);(2) the permanent water body distribution data of lakes in China’s eight deserts during the year(.shp). The table data include:(1) number and area of maxextent water bodies in desert lakes of China from 2000 to 2019;(2) number and area of permanent water bodies in desert lakes of China from 2000 to 2019. The dataset is stored in shapefile format, 38 groups of files, and the data volume is 32.3 MB(compressed into one file, 13.4 MB).