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2015–2020年句容农田生态系统碳水通量观测数据集

A dataset of carbon and water fluxes in the cropland ecosystem at Jurong Station(2015-2020)

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【作者】 周艳莲张永光朱婷婷居为民

【Author】 ZHOU Yanlian;ZHANG Yongguang;ZHU Tingting;JU Weimin;School of Geography and Ocean Science, Nanjing University;International Institute for Earth System Science, Nanjing University;

【通讯作者】 居为民;

【机构】 南京大学,地理与海洋科学学院南京大学,国际地球系统科学研究所

【摘要】 南京大学句容生态实验站(以下简称“句容站”)地处长江中下游平原(江苏省镇江市),主要种植方式为水稻——一年一熟制,是灌溉农田的典型代表。水稻是全球主要的粮食作物,种植面积大,范围广,是陆地生态系统的重要组成部分。它们通过光合作用和呼吸作用完成水、热和CO2的交换,对于区域的水文、气侯和碳水循环有不可忽视的作用。句容站自2015年涡度相关系统架设完成至今,一直开展农田生态系统碳水热通量的观测,且处理流程严格遵循中国通量观测研究联盟(ChinaFLUX)标准质控体系。本数据集整理了句容站2015年1月至2020年12月标准化的生态系统碳水通量和关键气象要素数据,时间尺度包含半小时、日和月,可靠性高,可以为农田灌溉管理、碳水循环过程以及作物模型模拟等相关研究提供数据支撑和理论依据。

【Abstract】 Located in the Middle-lower Yangtze Plain, Jurong Ecological Experimental Station(JRS) is a typical representative of irrigated cropland, where the main crop rotation is rice-biannual system. Rice, being one of the major global food crops, is cultivated extensively across a wide range of regions and is a vital component of terrestrial ecosystems. Rice plants accomplish the exchange of water, heat and CO2 through photosynthesis and respiration, and play a crucial role in regional hydrology, climatology and carbon-water cycle. Currently, eddy covariance technique is the most widely used observation method to explore the carbon and energy cycle between terrestrial ecosystems and the atmosphere. The JRS has been carrying out the flux observations of carbon, water and heat fluxes in agricultural ecosystems since 2015, with the processing process strictly following the quality control system of ChinaFLUX standard. This dataset compiles standardized ecosystem carbon and water fluxes and key meteorological elements data in JRS from January 2015 to December 2020 at various time scales, including half-hourly, daily, and monthly intervals. It can serve as a valuable resource for relevant studies on cropland irrigation management, carbon and water cycle processes and crop model simulations.

【基金】 国家自然科学基金(42077418)~~
  • 【文献出处】 中国科学数据(中英文网络版) ,China Scientific Data , 编辑部邮箱 ,2023年03期
  • 【分类号】S181
  • 【下载频次】2
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