2016-2018年帽儿山站落叶阔叶林碳通量观测数据集

A dataset of carbon fluxes of the deciduous broad-leaved forest at Maoershan Station from 2016 to 2018

森林生态系统是陆地生态系统碳循环的主体,准确估算森林生态系统的碳通量是理解全球变化对全球碳循环影响的基础。基于微气象理论的涡动协方差法是陆地生态系统碳通量的标准监测方法之一,已经广泛用于森林、草地、农田等生态系统碳通量长期监测。黑龙江帽儿山森林生态系统国家野外科学观测研究站,属大陆性季风气候,主要植被为天然次生林(温带落叶阔叶林),在我国东北东部山地森林中具有典型性。本数据集整理了2016–2018年帽儿山落叶阔叶林实测的碳通量数据和气象观测数据,包括总初级生产力、生态系统呼吸、净生态系统交换量、入射太阳辐射、入射光合有效辐射、气温、土壤温度、土壤水分和降水量。数据集分为半小时、日、月和年4个时间尺度。建立和共享本数据集可为评价我国东北温带次生林在区域碳循环中的地位以及优化碳循环模型提供必要、准确、可靠的数据支撑。

Forest ecosystem dominates the terrestrial ecosystem carbon(C)cycle,thus the accurate estimation of C flux in the forest ecosystem is essential to understanding the impact of global change on global C cycle.Based on the micrometeorology theory,the eddy covariance technique is one of the standard methods for C flux monitoring in terrestrial ecosystems,which has been widely used in the long-term monitoring of C flux in forests,grasslands,croplands and other ecosystems.Heilongjiang Maoershan Forest Ecosystem National Observation and Research Station has a continental monsoon climate,dominated by natural secondary forests(temperate deciduous broad-leaved forestd)which are typical in the montane forests of Northeast China.In this dataset,we compiled the measured C flux data and routine meteorological data of a deciduous broad-leaved forest at Maoershan Station from 2016 to 2018,including gross primary productivity,ecosystem respiration,net ecosystem exchange,incoming solar radiation,incoming photosynthetically active radiation,air temperature,soil temperature,soil moisture and precipitation.The dataset is divided into four time scales:half-hourly,daily,monthly and yearly.The establishment and sharing of this dataset will provide necessary,accurate and reliable data to support the evaluation of the role of natural secondary forests in the regional C cycle and the optimization of C cycle models.