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[高寒地区大豆关键生育期低温灾害指标的建立]

[Establishment of indices for soybean low temperature damages in key growth stage in high cold region].

作者信息

Lyu Jia-Jia, Zhu Hai-Xia, Qu Hui-Hui, Gao Xi-Ning, Li Yu-Dong, Wang Liang-Liang, Yan Ping, Jiang Li-Xia

机构信息

Innovation and Opening Laboratory of Eco-Meteorology in Northeast China, China Meteorological Administration, Harbin 150030, China.

Meteorogical Academician Workstation of Heilongjiang Pro-vince, Harbin 150030, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2022 Jun;33(6):1581-1588. doi: 10.13287/j.1001-9332.202206.035.

DOI:10.13287/j.1001-9332.202206.035
PMID:35729136
Abstract

Establishment of indices for low temperature damage of soybeans is important for systematically analyzing the adaptation strategies to climate change and collaborative adaptation technology for disaster prevention and mitigation and other stresses in high cold region. Based on historical data of low temperature damage and phenophase of soybean from 1980 to 2020 and daily temperature data from 78 meteorological stations in Heilongjiang Province, we used GIS to match the phenophase and meteorological data, by considering the accumulated temperature anomaly in different growth stages, and constructed a comprehensive soybean low temperature damages index (CSCDI) in high cold region. Using K-S distribution fitting test and the lower limit value of confidence intervals, we constructed the level index of soybean low temperature damage. The results showed that the CSCDI lower limits of mild, moderate and severe low temperature damage were 0.061, 0.115 and 0.237 from sowing to emergence stage, were 0.072, 0.152 and 0.312 from emergence to flowering, and 0.133, 0.245 and 0.412 from flowering to maturity, respectively. The time distribution of soybean low temperature damage inversed by CSCDI in Heilongjiang Province was consistent with the historical disaster records. The spatial distribution showed obvious latitude characteristics, with the frequency of low temperature damage increasing gradually from south to north.

摘要

建立大豆低温伤害指标对于系统分析高寒地区应对气候变化的适应策略以及防灾减灾和其他胁迫的协同适应技术具有重要意义。基于1980 - 2020年大豆低温伤害和物候期的历史数据以及黑龙江省78个气象站的日温度数据,我们利用地理信息系统(GIS)将物候期与气象数据进行匹配,考虑不同生长阶段的积温异常情况,构建了高寒地区大豆低温综合伤害指数(CSCDI)。利用K - S分布拟合检验和置信区间下限值,构建了大豆低温伤害等级指标。结果表明,从播种到出苗期,轻度、中度和重度低温伤害的CSCDI下限分别为0.061、0.115和0.237;从出苗到开花期分别为0.072、0.152和0.312;从开花到成熟期分别为0.133、0.245和0.412。利用CSCDI反演得到的黑龙江省大豆低温伤害时间分布与历史灾害记录一致。空间分布呈现明显的纬度特征,低温伤害频率由南向北逐渐增加。

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