2016-2017年小浪底栓皮栎人工林碳水通量观测数据集

A dataset of carbon and water flux observations in a Quercus variabilis plantation in Xiaolangdi(2016–2017)

全球变化背景下,人工林在区域碳水循环中的重要作用受到越来越多的关注。栓皮栎(Quercus variabilis)是我国天然分布最广的树种之一,太行山南麓位于我国黄河重点生态区,属我国林业工程重点区域,在该区域开展栓皮栎人工林水碳通量观测研究对我国林业生态工程建设、人工林碳汇功能评估有重要意义。自2005年以来,河南黄河小浪底地球关键带国家野外科学观测研究站(简称小浪底站)采用涡度相关通量观测技术,长期开展了栓皮栎人工林碳水通量监测与研究。本数据集为参考中国陆地生态系统通量观测研究网络(China FLUX)质量控制和处理规范整理加工的2016–2017年小浪底站栓皮栎人工林通量和常规气象要素数据,包含生态系统总初级生产力、生态系统呼吸、净生态系统碳交换量、潜热和显热通量及空气温湿度、水汽压、风速、风向、辐射、大气压、降水量、土壤温湿度等气象要素,形成了半小时、日、月和年尺度数据产品。本数据集为人工林生态系统管理、区域碳收支评估提供数据支撑,有助于推动我国野外台站数据共享和数据规范化管理。

The concern about global change has brought more attention to the role of plantations in the regional carbon and water cycle recently.Quercus variabilis is one of the most widely distributed natural tree species in China.The southern foot of Taihang Mountain is one of the key areas of forestry engineering in China.The study on the observation of water and carbon fluxes in a Quercus variabilis plantation in this area is of great significance to the development of forestry ecological engineering and the evaluation of plantation carbon sink function in China.Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River(i.e.XLD)has carried out long-term observation of and research on the carbon and water fluxes in a Quercus variabilis plantation using the eddy covariance technique since 2005.This dataset contains carbon and water flux observations and meteorological data collected from XLD from 2016 to 2017,which have been processed in accordance with the standard quality control system of China FLUX.It covers the data of gross ecosystem primary productivity,ecosystem respiration,net ecosystem carbon exchange,latent heat flux,sensible heat flux and other related meteorological factors,such as air temperature,air relative humidity,vapor pressure,wind speed,wind direction,radiation,soil temperature,soil moisture,precipitation,etc.The dataset is composed of the data collected at the scales of half-hourly,daily,monthly,and yearly intervals.This dataset can provide data support for the management of plantation ecosystems and the assessment of regional carbon budgets.Moreover,it plays a crucial role in promoting data sharing and standardization management of field stations in China.