2011-2020年海北高寒灌丛碳水热通量观测数据集

A dataset of the observations of carbon,water and heat fluxes over an alpine shrubland in Haibei(2011-2020)

高寒灌丛是青藏高原的重要植被类型之一,多分布在山地阴坡、半阴坡或高海拔山前滩地,具有十分重要的碳素固持和水源涵养及气候调节功能。青海海北高寒草地生态系统国家野外科学观测研究站(简称海北站)自2002年应用涡度相关技术进行高寒金露梅(Potentilla fruticosa)灌丛生态系统碳水热交换,已有近20年的数据积累。在前期公开2003–2010年相关数据的基础上,进一步发布2011–2020年海北高寒灌丛碳水热通量观测数据集。本数据集包含空气温度、空气相对湿度、水汽压、风速、风向、大气压强、总辐射、净辐射、光合有效辐射、降水、土壤温度、土壤水分的常规气象数据子集和净生态系统CO_(2)交换、生态系统CO_(2)呼吸、总生态系统CO_(2)交换、潜热通量、显热通量的碳水热通量数据子集,均由半小时、日、月和年等4种时间尺度组成。本系列数据集不仅可以用于科学评估高寒灌丛生态系统碳水热等生态功能的环境驱动和演变趋势,还能对遥感-生态过程模型的参数验证及优化提供地面观测支撑。

Alpine shrubland is one of the important vegetation types on the Qinghai-Tibet Plateau,which mainly lies in the shady or semi-shady slope of snowpack mountains or the high-altitude alluvium and diluvium on plains.It plays a crucial role in carbon sequestration,water conservation and climate regulation.Since 2002,Haibei National Field Research Station for Alpine Grassland(Haibei Station)has been using eddy covariance techniques to continuously observe the carbon,water and heat exchange between an alpine Potentilla fruticosa shrubland ecosystem and the atmosphere and has accumulated nearly 20-year data.On the basis of the previous publication of relevant data from 2003 to 2010,the carbon,we further released water and heat fluxes of the alpine shrubland and supplementary meteorological data from 2011 to 2020.This dataset consists of the subsets of meteorological factors,covering air temperature,air relative humidity,water vapor pressure,wind speed,wind direction,ambient pressure,total solar radiation,net radiation,photosynthetically active radiation,precipitation,soil temperature,and soil moisture,as well as net ecosystem CO_(2) exchange,ecosystem respiration,gross ecosystem CO_(2) exchange,latent heat flux,and sensible heat flux.The temporal resolutions of the dataset include half-hourly,daily,monthly,and yearly scales.This dataset can not only be used to scientifically evaluate the environmental drivers and evolution trends of the ecological functions of carbon,water and heat in alpine shrub ecosystems,but also provide ground data support for parameter validation and optimization of remote sensing-based ecological process models.