高寒区大豆苗期低温多雨对产量的影响

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中文摘要：探究大豆苗期低温多雨对产量的影响，为大豆防灾减灾提供依据。基于黑龙江省大豆生长发育观测资料及已有研究成果，对WOFOST模型进行本地化与适应性检验;利用研究区内15个代表站点1971-2020年逐日气象资料、分区作物参数与土壤参数，模拟不同低温多雨情景下大豆产量，定量评价苗期低温多雨对大豆产量的影响。结果表明:WOFOST模型在黑龙江省本地化应用效果较好，可用于该地区大豆产量的模拟;在设定情景中，低温、多雨及二者叠加效应均会造成大豆减产，减产率存在极显著差异，叠加效应持续天数是导致产量降低的最主要因素;t-3。5情景持续6 d未对大豆产量造成显著影响，部分t-3。5处理持续12 d与大部分持续18 d情景则会造成大豆产量显著或极显著下降;在灾害持续时间和发生程度相同的前提下，低温与多雨叠加发生比二者单独发生对大豆产量影响更大。

外文标题：Effects of low temperature and excessive precipitation at seedling stage on soybean yield in high-latitude cold region

外文摘要：The effects of low temperature and rainy weather at seedling state on soybean yield were examined to pro-vide basis for the prevention and reduction of soybean disaster.The localization and adaptability of WOFOST model were firstly tested based on the observation data of soybean growth in Heilongjiang Province and the results of previ-ous research.Using daily meteorological data,regional crop parameters and soil parameters from 15 representative stations in the study area during 1971-2020,soybean yield under different low temperature and rainy scenarios was simulated,and the influence of low temperature and rainy weather at seedling stage on soybean yield was quantita-tively evaluated.The results showed that the localization application of WOFOST model was effective in Heilongjiang Province and thus it could be used to simulate soybean yield in this region.Under the scenarios set here,low tem-perature,rainy weather and their combined effects would lead to significant reductions of soybean yield.The dura-tion of combined effects was the main factor leading to soybean yield reduction.The t-3.5 scenario lasting for 6 days had no significant effect on soybean yield,while some cases of t-3.5 scenario lasting for 12 days and most cases of t-3.5 scenario lasting for 18 days significantly reduced soybean yield.Under the context of the same duration and de-gree of agro-disaster,the combined occurrence of low temperature and heavy rain had stronger effect on soybean yield than that of the two alone.

外文关键词：

soybeanlow temperature and rainy superposition effectWOFOST modelyieldseedling stage

作者：

曲辉辉、李秀芬、朱海霞、王晾晾、曲秉阳、王秋京、吕佳佳、纪仰慧、姜丽霞

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作者单位：

黑龙江省气象科学研究所,中国气象局东北地区生态气象创新开放实验室,哈尔滨 150030

黑龙江省气象数据中心,哈尔滨 150030

关键词：

大豆低温多雨叠加效应 WOFOST模型产量苗期

基金：

黑龙江省科学基金项目中国气象局沈阳大气环境研究所联合开放基金课题中央级公益性科研院所基本科研业务费项目黑龙江省气象局专业气象服务创新发展项目黑龙江省气象局科技创新发展项目

项目编号：

LH2021D0182022SYIAEKFZD04-022020SYIAEHZ1HQFZ2022014HQZC2022032

出版年：

2024

DOI：

10.13292/j.1000-4890.202410.003

生态学杂志

中国生态学学会

生态学杂志

CSTPCD北大核心

影响因子：1.439

ISSN：1000-4890

年,卷(期)：2024.43(10)