中国通量观测研究网络(ChinaFLUX)专题 最新来稿(未评审) 版本 ZH1
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2003–2010年长白山阔叶红松林碳水通量观测数据集
A dataset of carbon and water flux observation over broad-leaved red pine forest in Changbai Mountain (2003–010)
: 2020 - 05 - 14
: 2020 - 05 - 14
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摘要&关键词
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的影响。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。
关键词:涡度相关技术;通量观测;长白山;森林生态系统;碳水循环
Abstract & Keywords
Abstract: Forest is the principal part of terrestrial ecosystem. 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.
Keywords: eddy covariance technique; flux observation; Changbai Mountain; forest ecosystems; carbon cycle
稿件与作者信息
吴家兵
Wu Jiabing
关德新
Dexin Guan
王安志
Wang Anzhi
袁凤辉
Fenhui Yuan
刁浩宇
Haoyu Diao
于贵瑞
Yu Guirui
陈智
chenzhi
chenz@igsnrr.ac.cn
张雷明
Zhang Leiming
zhanglm@igsnrr.ac.cn
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