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作 者:耿金剑 周广胜[1,2] 宋艳玲 任三学 赵花荣[1,2] 周怀林 宋兴阳[1,2] 田晓丽 GENG Jinjian;ZHOU Guangsheng;SONG Yanling;REN Sanxue;ZHAO Huarong;ZHOU Huailin;SONG Xingyang;TIAN Xiaoli(Chinese Academy of Meteorological Sciences,Beijing 100081,P.R.China;Hebei Gucheng Agricultural Meteorology National Observation and Research Station,Baoding 072656,P.R.China)
机构地区:[1]中国气象科学研究院,北京100081 [2]河北固城农业气象国家野外科学观测研究站,河北保定072656
出 处:《中国科学数据(中英文网络版)》2023年第4期179-188,共10页China Scientific Data
基 金:国家科技基础资源调查专项(2021FY100703);中国气象局创新发展专项(CXFZ2022J051);中国气象科学研究院基本科研业务费重点项目(2021Z009)。
摘 要:玉米是我国第一大粮食作物,其高产稳产对于保障国家粮食安全具有重要意义。连续多年不同播期玉米全生育期的生理生态观测数据为研究气候变化对玉米生态系统的影响及其适应提供重要数据支撑。河北固城农业气象国家野外科学观测研究站(简称固城站)地处华北平原北部,是唯一以农业气象为特色的国家野外科学观测研究站。本数据集是固城站玉米农业生态系统2018–2021年适应气候变化试验数据集,主要包含同一品种玉米不同播期的生育期、生物量、叶面积指数、光合生理、光谱特征、土壤水分、灌浆速率、产量构成的年际、年内变化数据。本数据集对玉米生态系统适应气候变化研究的相关农业气象业务服务指标的修订、农业气象模拟模型的改进及区域应用、农业气象适用技术的开发等具有重要意义。Maize is one of the major grain crops in China.Maize high production and stable yield are of great importance to ensure national food security.The dataset of physiological and ecological observations during the whole growth period of maize with different sowing dates in successive years can provide important data support for the study of the effects of climate change on maize ecosystem and its adaptation.Located in the northern part of the North China Plain,Hebei Gucheng Agricultural Meteorology National Observation and Research Station(Gucheng Station for short)is the only national platform for long-term experiments and observations of farmland ecosystem featuring by agrometeorology.This dataset is the experimental results of maize agroecosystem adaptation to climate change from 2018 to 2021 in Gucheng Station.It mainly contains the data of interannual and annual variation data of growth period,biomass,leaf area index,photosynthetic physiology,spectral characteristics,soil moisture,grain filling rate and yield of the same variety of maize at different sowing dates.This dataset is of great significance for the revision of agrometeorological business service indexes,the improvement and regional application of agrometeorological simulation model,and the development of agrometeorological applicable technology for the study of maize ecosystem adaptation to climate change.
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