【摘要】 森林是陆地生态系统的主体,它在生长过程中吸收大量的CO2,并产生水热交换,对大气组成与区域气候都会产生显著影响。基于微气象理论的涡度相关通量观测技术实现了对森林生态系统生产力、水热传输和温室气体交换等过程的直接测定,其长期观测数据为陆地生态系统碳水循环过程的机理解析及碳源/汇和水分利用的时空分布研究提供了重要的数据基础。本数据集为中国通量观测研究联盟(ChinaFLUX)站之一长白山阔叶红松林2003–2010年长期通量观测数据,并基于ChinaFLUX标准质控体系形成了标准化的生态系统碳水通量和关键气象要素数据集。本数据集可为分析我国温带森林生态系统碳源汇功能及其对全球变化的响应提供重要的科学知识和数据基础。更多还原

【Abstract】 As the principal part of terrestrial ecosystem, forests absorb a large amount of CO2 and generate water and heat exchange during the growth process, and have a significant impact on the composition of atmosphere and regional climate. Eddy covariance flux observation technology based on the theory of the micro meteorology theory has realized the direct determination of forest ecosystem productivity, and greenhouse gas exchange of heat and water transfer process. The long-term observation provides data support for analyzing the mechanism of the processes of terrestrial ecosystem carbon cycle and studying the carbon source/sink and water use of time and space distribution. This dataset is composed of the long-term flux observation data from 2003 to 2010 in the broad-leaved red pine forests in Changbai Mountain, one of the ChinaFLUX observation and research consortium(ChinaFLUX) stations. Based on the quality control system of ChinaFLUX standard, we compiled in this dataset a standardized dataset of ecosystem carbon and water flux and key meteorological elements. This dataset can provide important scientific knowledge and data basis for the analysis of carbon source and sink function of temperate forest ecosystems in China and their responses to global changes.更多还原