A dataset of sap-flow measurements in a mixed coniferous and broad-leaved forest at Dinghushan (2010 – 2011)

Evapotranspiration is one of the main pathways of water resource consumption in terrestrial ecosystem. It is a complex and continuous process that is influenced by the physiological process and physical environment under great uncertainties. How to quantify plant transpiration and its contribution to evapotranspiration accurately is an important issue of scientific methodology. Due to electronic technology advancement, the development of tree sap flow measurement technology makes it possible to quantify plant transpiration scientifically and accurately. As a core member of Chinese Ecosystem Research Network (CERN) and National Ecosystem Research Network of China (CNERN), we have monitored and measured tree sap flow in a coniferous and broad-leaved mixed forest, one of the main forest types in lower subtropical China, over the period from June 2010 to December 2011, at Dinghushan Forest Ecosystem Research Station. The sap flow rate of the dominant tree species of Pinus massoniana, Castanopsis chinensis, Schima superba and Machilus chinensis were monitored. Based on collation and statistics, the data makes a list of the measured data of tree sap flow and incorporates the information on the process of dataset construction. The setup and sharing of the sap-flow database can provide critical data for deep studies on the dynamic and patterns of forest water use under global climate and environment change, supporting forest management and ecosystem service evaluation in this region.