An observation dataset of carbon and water fluxes in a mixed coniferous broad-leaved forest at Dinghushan，Southern China (2003 – 2010)

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.

陆地生态系统碳-水循环过程是全球生态系统中的关键生态过程，科学量化森林生态系统碳-水循环中的碳水通量，是精准量化陆地生态系统碳-水过程的核心所在。涡度协方差法（eddy covariance）是当前用于监测碳水通量、实现森林生态系统此类通量精准量化的微气象学方法，该技术为探究森林生态系统在碳固存中的碳源/汇贡献提供了坚实基础。作为中国生态系统研究网络（CERN）和国家生态系统研究网络（CNERN）的核心成员单位，鼎湖山森林生态系统研究站自2002年末起，便对中国亚热带低地的代表性林型——针阔混交林开展碳水通量监测工作，目前该监测已逐步完善至标准化流程。在主要森林类型中，针阔混交林是鼎湖山的典型林型，同时也是中国亚热带低地的常见林型。依据中国通量观测网络（ChinaFLUX）统一的技术规范，该站已对针阔混交林生态系统的碳水通量及关键气象要素开展了长达17年的标准化监测。本数据集对该监测数据进行了系统化整理与统计分析，呈现了鼎湖山2003年至2010年针阔混交林的碳水通量动态监测数据，同时包含数据集构建的相关流程信息。碳水通量数据库的搭建与数据共享，可为全球变化背景下的水热格局研究、森林冠层与大气边界层间碳、水及能量交换的深入探究提供关键数据支撑，同时可为该亚热带低地区域的森林经营管理与生态系统服务功能评估提供强力支持。