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

Fa-wei Zhang, Hong-qin Li, Leiming Zhang, Jiexia Li, Yongsheng Yang, Guirui Yu, Ying-nian Li
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Abstract

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 CO2 exchange, ecosystem respiration, gross ecosystem CO2 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.
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2011-2020年海北高寒灌丛地表碳、水、热通量观测数据集
高山灌木林是青藏高原重要的植被类型之一,主要分布在雪山的阴坡或半阴坡或平原的高海拔冲洪积层中。它在固碳、节水和气候调节方面发挥着至关重要的作用。自2002年以来,海北国家高山草原野外研究站(海北站)一直采用涡度协方差技术,连续观测高山委陵菜灌木林生态系统与大气的碳、水、热交换,积累了近20年的数据。在之前公布的2003年至2010年相关数据碳的基础上,我们进一步发布了2011年至2020年高山灌木林的水热通量和补充气象数据。该数据集由气象因子的子集组成,包括气温、空气相对湿度、水汽压、风速、风向、环境压力、太阳总辐射、净辐射、光合活性辐射、降水、土壤温度和土壤湿度,以及生态系统净CO2交换、生态系统呼吸、总生态系统CO2交换,潜热通量和显热通量。数据集的时间分辨率包括半小时、每天、每月和每年。该数据集不仅可以用于科学评估高山灌木生态系统碳、水、热生态功能的环境驱动因素和演化趋势,还可以为基于遥感的生态过程模型的参数验证和优化提供地面数据支持。
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