Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Data. 2022 Aug 25;9(1):519. doi: 10.1038/s41597-022-01649-z.
Lakes provide water-related ecosystem services that support human life and production. Nevertheless, climate changes and anthropogenic interventions remarkably altered lake and basin hydrology in recent decades, which pose a significant threat to lacustrine ecosystems. Therefore, assessments of lacustrine ecosystems require the spatial and temporal characteristics of key physical and human-dimensional attributes for lakes and lake basins. To facilitate stakeholders obtaining comprehensive data of lake basins in China, we compiled the comprehensive data set for China's lake basins (CODCLAB) mostly from publicly available data sources based on spatial analysis and mathematical statistics methods in this study. The CODCLAB is available in three data formats, including raster layers (Level 1) in "tiff" format, vector shapefiles (Level 2), and attribute tables (Level 3). It covers 767 lakes (>10 km) in China and their basin extent associating with 34 variables organized into five categories: Hydrology, Topography, Climate, Anthropogenic, and Soils. This unique database will provide basic data for research on the physical processes and socioeconomic activities related to these lakes and their basins in China and expect to feed a broad user community for their application in different areas.
湖泊提供了与水有关的生态系统服务,支持着人类的生活和生产。然而,气候变化和人为干预在最近几十年显著改变了湖泊和流域的水文状况,对湖泊生态系统构成了重大威胁。因此,对湖泊生态系统的评估需要湖泊和流域关键物理和人文属性的时空特征。为了方便利益相关者获取中国湖泊流域的综合数据,我们在本研究中主要基于空间分析和数理统计方法,从公开数据源中编制了中国湖泊流域综合数据集(CODCLAB)。CODCLAB 以三种数据格式提供,包括“tiff”格式的栅格层(级别 1)、矢量 shapefile(级别 2)和属性表(级别 3)。它涵盖了中国 767 个(>10km)湖泊及其流域范围,与五个类别中的 34 个变量相关联:水文学、地形、气候、人为和土壤。这个独特的数据库将为中国与这些湖泊及其流域相关的物理过程和社会经济活动研究提供基础数据,并期望为广大用户群体在不同领域的应用提供支持。