A dataset of carbon and water flux observation over broad-leaved red pine forest in Changbai Mountain (2003–2010)

It absorbs a large amount of CO2 and generates water and heat exchange during the growth process, which has a significant impact on the composition of atmosphere and regional climate. Eddy covariance flux observation technology based on the theory of the micro meteorological has realized the productivity of forest ecosystems, and greenhouse gas exchange of heat and water transfer process directly, such as its long-term observation data of the mechanism of the processes of terrestrial ecosystem carbon cycle and carbon source/sink and water use of time and space distribution research provides important data base.

This dataset is the long-term flux observation data from 2003 to 2010 of the broad-leaved red pine forest in Changbai Mountain, one of the ChinaFLUX observation and research consortium (ChinaFLUX) stations. Based on the quality control system of ChinaFLUX standard, a standardized dataset of ecosystem carbon and water flux and key meteorological elements is formed. This dataset can provide important scientific knowledge and data basis for the analysis of carbon source and sink functions of temperate forest ecosystems in China and their responses to global changes.