Spatial Distribution and Temporal Trend Characteristics of Agro-Climatic Resources and Extreme Climate Events during the Soybean Growing Season in Northeast China from 1981 to 2017

作     者：Shibo GUO Xiaoguang YANG Zhentao ZHANG Fangliang ZHANG Tao LIU Shibo GUO;Xiaoguang YANG;Zhentao ZHANG;Fangliang ZHANG;Tao LIU

作者机构：College of Resources and Environmental SciencesChina Agricultural UniversityBeijing 100193 

出 版 物：《Journal of Meteorological Research》 (气象学报（英文版）)

年 卷 期：2020年第34卷第6期

页      面：1309-1323页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 0901[农学-作物学] 

基　　金：Supported by the National Key Research and Development Program of China(2019YFA0607402) 

主　　题：soybean Northeast China(NEC) agro-climatic resources extreme climate events asymmetry 

摘      要：Soybean is an important oil ***-climatic resources and extreme climate events during the growing season directly affect the crop growth and grain *** this study,we used historical climate data and phenology observation data to investigate the spatial distributions and temporal trends of agro-climatic resources and extreme climate events during the growing season for soybean in Northeast China(NEC).The results showed that during the soybean growing season,the thermal time increased while both the effective precipitation and photosynthetically active radiation(PAR)*** the growing season,the thermal time increased by 44.0°C day decade–1 during the vegetative stage but decreased by 16.5°C day decade–1 during the reproductive stage;the effective precipitation increased by 1.8 mm decade–1 during the vegetative stage but decreased by 7.3 mm decade–1 during the reproductive stage;PAR decreased by 6.5 and 11.9 MJ m–2 decade–1 during the vegetative and reproductive *** frequency of extreme cold days showed a decreasing trend during the four study phases of sowing to emergence,sowing–flowering,15 days before flowering–flowering,and pod to physiological *** the soybean growing season,the frequency of extreme heat days and the maximum number of consecutive dry days(CDD)increased,and the maximum number of consecutive wet days(CWD)and heavy precipitation days *** results of this study could be used in selecting optimal management in soybean production in order to take advantage of beneficial climatic elements.