2026-10-12T14:16:33Z https://www.scidb.cn/oai

10.11922/sciencedb.996 2020-05-13T19:21:31Z

2020-05-13 A dataset of carbon and water fluxes over Xilinhot temperate steppe in Inner Mongolia (2003 – 2010) doi:10.11922/sciencedb.996 en Eddy covariance technology makes it possible to accurately measure water and CO2 fluxes on the ecosystem scale. The data measured by eddy covariance technology is important for the development and verification of carbon-water cycle models and for accurate estimation of carbon sources / sinks and water balance of ecosystem. This dataset is the fluxes data for Inner Mongolia Station (located in a 37-year ungrazed grassland of Inner Mongolia grassland ecosystem Positioning Research Station, Chinese Academy of Sciences). This dataset is analyzed in strict compliance with the ChinaFLUX standardized ecosystem carbon water flux and key meteorological data quality control and specification system. This dataset can provide important data for analyzing the response and mechanism of typical steppe in China to global change. typical grassland; eddy covariance technology; water and heat flux; carbon flux; meteorological factor 郝彦宾 张雷明 孙晓敏 于贵瑞 陈智 王艳芬 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11922/csdata.2020.0040.zh Science Data Bank