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作 者:刘帆 沈彦俊[1,2,3] 曹建生[1] 张玉翠 LIU Fan;SHEN Yanjun;CAO Jiansheng;ZHANG Yucui(Key Laboratory of Agricultural Water Resources Chinese Academy of Sciences/Hebei Laboratory of Water-Saving Agriculture/Center for Agricultural Resources Research,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang 050022,P.R.China;Luancheng Agro-ecosystem Experimental Station of Chinese Academy of Sciences,Shijiazhuang 051430,P.R.China;University of Chinese Academy of Sciences,Beijing 100049,P.R.China)
机构地区:[1]中国科学院遗传与发育生物学研究所农业资源研究中心/中国科学院农业水资源重点实验室/河北省节水农业重点实验室,石家庄050022 [2]中国科学院栾城农业生态系统试验站,石家庄051430 [3]中国科学院大学,北京100049
出 处:《中国科学数据(中英文网络版)》2023年第2期31-40,共10页China Scientific Data
基 金:国家自然科学基金项目(41930865、31870422、42171023、42201052);河北省自然科学基金创新群体项目(D2021503001);河北省自然科学基金(C2022503011)。
摘 要:冬小麦–夏玉米农田是华北平原种植面积最大的生态系统类型,其碳水通量观测数据对于理解区域碳水循环过程及其调控机理至关重要。中国科学院栾城农业生态系统试验站(简称栾城站)地处太行山山前平原,是华北平原地下水灌区的典型代表,自2007年10月采用涡度相关技术开展了冬小麦–夏玉米农田水热碳通量观测。本数据集为2013年10月–2017年9月(包括4个完整的冬小麦和夏玉米生育季)栾城站水热碳通量和气象数据,包括半小时、日、生育季和生育年尺度的生态系统潜热通量(或蒸散发)、感热通量、CO_(2)净交换量、太阳辐射、光合有效辐射、空气温/湿度、降水、土壤温度和土壤体积含水量。数据存储和处理严格按照ChinaFLUX标准执行,数据可靠性高。本数据集可为深入理解华北地区农田水热碳交换过程、提高水资源管理以缓解地下水超采等提供数据支撑。The winter wheat-summer maize double-cropping agro-ecosystem holds the largest planting area in the North China Plain.The carbon and water flux observation data of the croplands are crucial to understanding regional carbon and water cycles and their regulation mechanism.Located in the piedmont Plain of Taihang Mountain,Luancheng Agro-ecosystem Experimental Station(Luancheng Station)is the typical groundwater irrigation district.We have been using the eddy covariance technology to carry out the observation work of the winter-summer maize croplands since October 2007.This is the dataset of water,heat,and carbon fluxes over the winter wheat-summer maize croplands in Luancheng from October 2013 to September 2017(covering four complete growing seasons).The dataset includes latent heat flux(or evapotranspiration),sensible heat flux,net ecosystem exchange of CO_(2),solar radiation,photosynthetically active radiation,air temperature/humidity,precipitation,soil temperature and volumetric soil water content at the half-hourly,daily,crop-season,and crop-year scales.The network observation,quality control and storage process of this dataset strictly abide by ChinaFLUX data management technology system to ensure data reliability.This dataset can provide solid data support for deeply understanding the processes of water,heat and carbon exchange,and improving the management of water resource to relieve the overdraft of groundwater in North China.
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