The Chinese Ecosystem Research Network (CERN) is an important part of the knowledge innovation project of the Chinese Academy of Sciences established to monitor China's ecological environment changes, comprehensively study major issues in China's ecological environment, and develop resources in environmental science and ecology. CERN consists of one synthesis research center, five disciplinary sub-centers, and numerous ecological research stations representing diverse ecosystems, including agriculture, forests, grasslands, deserts, marshes, lakes, urban, karst, and marine.
CERN’s monitoring and experimental activities produce various data that is processed, integrated, and accessed through ecological research stations, sub-centers and the synthesis center. Data types include raw record data, processed data, images, and photos. The vision of CERN is to conduct research on China’s major ecosystems on a long-term basis by integrating ground-based networking observation and experiments with simulation and modeling, remote sensing, GIS, and sensors.
With the contributions from CERN, DataONE now exposes over 1.17M data objects across its Member Nodes.
Using a DataONE Metacat software implementation allows CERN to advance its mission to offer data and information to scientists and policy-makers which will contribute to ecosystem management, wise use of natural resources, and sustainable socio-economic development. As a DataONE Member Node, CERN is able facilitate engagement in cooperative research and academic exchange at home and abroad.
DataONE is excited to help make CERN’s growing collection of datasets even more widely available. We extend a warm welcome to the Chinese Ecosystem Research Network!
About CERN: Supported by the Chinese Academy of Sciences (CAS), CERN was established in 1988 to address important environmental issues and to serve as a functional network to meet the needs of both the national and international ecological research communities. It consists of one synthesis research center, five disciplinary sub-centers, and 44 ecological research stations representing diverse ecosystems, including 15 stations for agriculture, 11 for forest, 2 for grassland, 6 for desert, 2 for marsh, 3 for lake ,1 for urban, 1 for karst, and 3 for marine ecosystems.