DOI: 10.57760/sciencedb.1009
title: An observation dataset of carbon and water fluxes in a mixed coniferous broad-leaved forest at Dinghushan，Southern China (2003 – 2010)
title: 2003–2010年鼎湖山针阔叶混交林碳水通量观测数据集

description: Carbon-water cycle process in terrestrial ecosystems is a critical ecological process in the global ecosystems, and the scientific quantitation of carbon water flux in the carbon-water cycle of forest ecosystem is a key to accurately quantify the carbon-water process in terrestrial ecosystems. The eddy covariance is a micro-meteorological method that is currently used to monitor carbon-water flux and to achieve an accurate quantification of these fluxes in forest ecosystems. The technique provides a solid foundation for the study of carbon source/sink contribution of forest ecosystems in carbon sequestration. As a core member of Chinese Ecosystem Research Network (CERN) and National Ecosystem Research Network of China (CNERN), Dinghushan Forest Ecosystem Research Station has monitored carbon and water flux in a mixed broadleaf-conifer forest being a major forest type in low subtropical China since the end of 2002, and now the monitoring work has been done towards an improved standardization procedure. Among the major forest types, the mixed broadleaf-conifer forest is a typical forest at Dinghushan, and it is also the common forest type in lower subtropical China. According to the unified technical specifications of ChinaFLUX, a 17-year of standardized monitoring of carbon-water flux and key meteorological elements in the mixed coniferous broad-leaved forest ecosystem has been carried out at Dinghushan Forest Ecosystem Research Station. The dataset on the monitoring was systematized and analyzed statistically, and the dynamic measurement data of carbon water flux in the mixed coniferous broad-leaved forest from 2003 to 2010 at Dinghushan were presented. The dataset also includes the information on the process of dataset construction. The setup and data sharing of the carbon-water flux database provide critical data for deep studies on the carbon, water and energy exchange between the forest canopy and atmospheric boundary layers, in the context of water and heat pattern under global change, whereas it is a strong support for forest management and ecosystem service function evaluation in this lower subtropical area.
description: Carbon-water cycle process in terrestrial ecosystems is a critical ecological process in the global ecosystems, and the scientific quantitation of carbon water flux in the carbon-water cycle of forest ecosystem is a key to accurately quantify the carbon-water process in terrestrial ecosystems. The eddy covariance is a micro-meteorological method that is currently used to monitor carbon-water flux and to achieve an accurate quantification of these fluxes in forest ecosystems. The technique provides a solid foundation for the study of carbon source/sink contribution of forest ecosystems in carbon sequestration. As a core member of Chinese Ecosystem Research Network (CERN) and National Ecosystem Research Network of China (CNERN), Dinghushan Forest Ecosystem Research Station has monitored carbon and water flux in a mixed broadleaf-conifer forest being a major forest type in low subtropical China since the end of 2002, and now the monitoring work has been done towards an improved standardization procedure. Among the major forest types, the mixed broadleaf-conifer forest is a typical forest at Dinghushan, and it is also the common forest type in lower subtropical China. According to the unified technical specifications of ChinaFLUX, a 17-year of standardized monitoring of carbon-water flux and key meteorological elements in the mixed coniferous broad-leaved forest ecosystem has been carried out at Dinghushan Forest Ecosystem Research Station. The dataset on the monitoring was systematized and analyzed statistically, and the dynamic measurement data of carbon water flux in the mixed coniferous broad-leaved forest from 2003 to 2010 at Dinghushan were presented. The dataset also includes the information on the process of dataset construction. The setup and data sharing of the carbon-water flux database provide critical data for deep studies on the carbon, water and energy exchange between the forest canopy and atmospheric boundary layers, in the context of water and heat pattern under global change, whereas it is a strong support for forest management and ecosystem service function evaluation in this lower subtropical area.