设为首页
加入收藏
Construction of Soybean Chilling Damage Indicator and Its Evolution Characteristics in Northeast China
-
摘要: 冷害是东北地区大豆减产的主要原因之一，冷害指标是冷害监测预警的重要依据。以东北地区大豆为研究对象，基于1971—2020年气象站点逐日平均气温数据、1992—2020年农业气象站大豆发育期数据和历史灾情数据，以热量指数为冷害指标，构建大豆灾害样本序列，利用Kolmogorov-Smirnov（K-S）分布拟合检验获得冷害指标的概率分布，通过t分布区间估计方法确定指标等级阈值，并进行验证。在此基础上，讨论冷害时空变化特征。结果表明：冷害等级与冷害指标完全匹配率达84.4%，该指标等级阈值可以较好反映东北地区大豆冷害发生情况；在相同冷害等级下，大豆三真叶-开花-结荚阶段冷害等级阈值较高，播种-出苗-三真叶阶段相对较低；20世纪70年代的冷害频次最高，1993年前后发生突变，之后呈下降趋势；黑龙江省最北部及吉林省东南部为冷害高发地区，以此为中心冷害频次向四周递减；随年代际变化，冷害频次高值区逐渐缩小，低值区逐渐北伸扩大。Abstract: Chilling damage is the major cause of soybean yield reduction in Northeast China. Chilling damage indicator is an important basis for the monitoring and early warning. Taking soybean in Northeast China as the research object, based on daily average temperature data of 98 meteorological stations from 1971 to 2020, the soybean growth period data and historical disaster data of 42 agro-meteorological stations from 1992 to 2020, using heat index as the indicator, the disaster sample sequences of soybean under 5 growth stages and 3 chilling damage levels are constructed by disaster data. Probability distribution fitting and Kolmogorov-Smirnov test methods are used to obtain the probability distribution of chilling damage indicator, and then the t-distribution interval estimation method is used to determine the damage level threshold, and finally the indicator is verified. In addition, the temporal and spatial characteristics of chilling disaster are studied by applying trend analysis, Mann-Kendallt test method and other methods. The results show that the perfect match rate of disaster level and chilling damage indicator is 84.4%. Therefore, this level threshold of the indicator can well reflect the occurrence of soybean chilling damage in Northeast China. Under the same chilling damage level, the threshold value of chilling damage level in the three-leaf-flowering-podding stage is higher, and that in the sowing-emergence-three-leaf stage is relatively lower. Soybean has higher heat demand in the middle and late stage of growth and development, and lower heat demand in the early stage of growth and development. The frequency of chilling damage is the highest in the 1970s, and the mutation occurred around 1993 and then showed a downward trend until 2004. The spatial distribution of chilling injury frequency in each development stage shows the same change characteristics, and the highest value area is the widest in podding-mature stage. The areas with high incidence of cold damage is the Greater Khingan Range in the northernmost of Heilongjiang Province and the Changbai Mountain in the southeast of Jilin Province. And the frequency of chilling damage shows a decreasing trend around this center. With the inter-decadal change, the high-value area gradually shrinks and the low-value area gradually expands northward.
-
图 1 研究区域气象站与农业气象站分布
Fig. 1 Distribution of meteorological stations and agro-meteorological stations in the taget region
图 2 1971—2020年东北地区大豆全生育期内冷害次数
Fig. 2 Chilling damage frequency during the whole growth period of soybean in Northeast China from 1971 to 2020
图 3 1971—2020年东北地区大豆各发育阶段不同等级冷害及总冷害次数
Fig. 3 Chilling damage frequency in different growth stages of soybean with total chilling damage frequency in Northeast China from 1971 to 2020
图 4 1971—2020年东北地区大豆全生育期冷害次数M-K统计量曲线
Fig. 4 M-K statistic curves of chilling damage frequency during the whole growth period of soybean in Northeast China from 1971 to 2020
图 5 1971—2020年东北地区大豆全生育期和不同发育阶段冷害频次分布
Fig. 5 Distribution of chilling damage frequency in the whole growth period and different growth stages of soybean in Northeast China from 1971 to 2020
图 6 1971—2020年东北地区大豆全生育期冷害频次年代际变化
Fig. 6 Decadal variation of chilling damage frequency in the whole growth period of soybean in Northeast China from 1971 to 2020
表 1 大豆各发育阶段不同冷害等级下样本量
Table 1 Sample size in different growth stages of soybean with different levels of chilling damage
发育阶段 轻度 中度 重度 指标构建 指标检验 指标构建 指标检验 指标构建 指标检验 播种-出苗 22 5 19 3 5 1 出苗-三真叶 13 2 19 3 14 3 三真叶-开花 9 2 11 2 5 1 开花-结荚 5 1 4 1 7 1 结荚-成熟 20 4 14 2 4 1 
下载: 导出CSV
表 2 大豆各发育阶段的三基点温度
Table 2 Three physiological temperatures in different growth stages of soybean
发育阶段 适宜温度/℃ 下限温度/℃ 上限温度/℃ 播种-出苗 15.0 7.5 26.0 出苗-三真叶 19.0 10.0 30.0 三真叶-开花 22.0 13.0 32.0 开花-结荚 24.0 16.0 32.0 结荚-成熟 21.0 11.0 28.0
下载: 导出CSV
表 3 3种函数对大豆热量指数样本序列拟合的K-S检验结果
Table 3 K-S test for results of 3 functions for fitting heat index samples of soybean
发育阶段 冷害等级 显著性检验 正态分布 均匀分布 指数分布 轻度 0.739 0.144 0.000 播种-出苗 中度 0.708 0.043 0.001 重度 0.999 0.438 0.195 轻度 0.964 0.319 0.000 出苗-三真叶 中度 0.855 0.033 0.001 重度 0.875 0.679 0.025 轻度 0.981 0.259 0.001 三真叶-开花 中度 0.899 0.024 0.016 重度 0.999 0.219 0.000 轻度 0.971 0.875 0.084 开花-结荚 中度 0.972 0.455 0.094 重度 0.989 0.106 0.008 轻度 0.750 0.002 0.000 结荚-成熟 中度 0.781 0.151 0.004 重度 0.982 0.718 0.000
下载: 导出CSV
表 4 基于热量指数的东北地区大豆不同发育阶段冷害等级指标
Table 4 Chilling damage level indicators in different growth stages of soybean in Northeast China based on heat index
发育阶段 重度冷害 中度冷害 轻度冷害 无冷害 播种-出苗 (0，58.0] (58.0，65.5] (65.5，71.0] (71.0，100] 出苗-三真叶 (0，59.5] (59.5，67.5] (67.5，73.5] (73.5，100] 三真叶-开花 (0，63.0] (63.0，68.0] (68.0，75.5] (75.5，100] 开花-结荚 (0，63.5] (63.5，69.5] (69.5，78.0] (78.0，100] 结荚-成熟 (0，62.5] (62.5，68.0] (68.0，75.5] (75.5，100]
下载: 导出CSV
表 5 大豆冷害指标的验证准确率(单位：%)
Table 5 Verification accuracy for chilling damage indicator of soybean (unit: %)
发育阶段 轻度 中度 重度 总冷害 播种-出苗 80.0 66.7 100.0 77.8 出苗-三真叶 100.0 100.0 66.7 87.5 三真叶-开花 100.0 50.0 100.0 80.0 开花-结荚 100.0 100.0 100.0 100.0 结荚-成熟 75.0 100.0 100.0 85.7 全生育期 85.7 81.8 85.7 84.4
下载: 导出CSV
-
[1] 查霆, 钟宣伯, 周启政, 等. 我国大豆产业发展现状及振兴策略. 大豆科学, 2018, 37(3): 458-463. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201803020.htmZha T, Zhong X B, Zhou Q Z, et al. Development status of China's soybean industry and strategies of revitalizing. Soyb Sci, 2018, 37(3): 458-463. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201803020.htm [2] 潘晓卉. 东北地区大豆生产布局变化及影响因素分析. 长春: 中国科学院东北地理与农业生态研究所, 2019.Pan X H. Spatio-temporal Variation of Soybean Production in Northeast China and Its Influencing Factors. Changchun: Northeast Institute of Geograph and Agroecology, Chinese Academy of Sciences, 2019. [3] 曲辉辉, 朱海霞, 王秋京, 等. 气候变化对东北三省大豆发育期和产量的影响模拟. 西北农林科技大学学报(自然科学版), 2014, 42(7): 61-69.Qu H H, Zhu H X, Wang Q J, et al. Effects of climate change on soybean growth period and yield in Northeast China. J Northwest Sci-Tech Univ Agric For(Nat Sci), 2014, 42(7): 61-69. [4] 盖志佳, 刘婧琦, 蔡丽君, 等. 大豆低温冷害研究进展及防控技术. 农学学报, 2021, 11(1): 7-10;16.Gai Z J, Liu J Q, Cai L J, et al. Cold damage to soybean and its prevention and control measures: Research progress. J Agric, 2021, 11(1): 7-10;16. [5] Alexandrov V A, Hoogenboom G. The impact of climate variability and change on crop yield in Bulgaria. Agr Forest Meteo-rol, 2000, 104(4): 315-327. doi: 10.1016/S0168-1923(00)00166-0 [6] Andaya V C, Mackill D J. Mapping of QTLs associated with cold tolerance during the vegetative stage in rice. J Exp Bot, 2003, 54(392): 2579-2585. doi: 10.1093/jxb/erg243 [7] 张大伟, 杜翔宇, 刘春燕, 等. 低温胁迫对大豆萌发期生理指标的影响. 大豆科学, 2010, 29(2): 228-232. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201002014.htmZhang D W, Du X Y, Liu C Y, et al. Effect of low-temperature stress on physiological indexes of soybean at germination stage. Soyb Sci, 2010, 29(2): 228-232. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201002014.htm [8] Funatsuki H, Matsuba S, Kawaguchi K, et al. Methods for evaluation of soybean chilling tolerance at the reproductive stage under artificial climatic conditions. Plant Breeding, 2010, 123(6): 558-563. doi: 10.1111/j.1439-0523.2004.01008.x [9] Ikeda T, Ohnishi S, Senda M, et al. A novel major quantitative trait locus controlling seed development at low temperature in soybean(Glycine max). Theor Appl Genet, 2009, 118(8): 1477-1488. doi: 10.1007/s00122-009-0996-3 [10] Tian X, Liu Y, Huang Z, et al. Comparative proteomic analysis of seedling leaves of cold-tolerant and sensitive spring soybean cultivars. Mol Biol Rep, 2015, 42(3): 581-601. doi: 10.1007/s11033-014-3803-4 [11] 常云霞, 徐克东, 陈璨, 等. 水杨酸对低温胁迫下大豆幼苗生长抑制的缓解效应. 大豆科学, 2012, 31(6): 927-931. doi: 10.3969/j.issn.1000-9841.2012.06.015Chang Y X, Xu K D, Chen C, et al. Salicylic acid mitigating the inhibition of low temperature stress to soybean seedlings. Soyb Sci, 2012, 31(6): 927-931. doi: 10.3969/j.issn.1000-9841.2012.06.015 [12] 张倩, 赵艳霞, 王春乙. 我国主要农业气象灾害指标研究进展. 自然灾害学报, 2010, 19(6): 40-54. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201006007.htmZhang Q, Zhao Y X, Wang C Y. Advances in research on major agro-meteorological disaster indexes in China. J Nat Disaster, 2010, 19(6): 40-54. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201006007.htm [13] 郭建平. 农业气象灾害监测预测技术研究进展. 应用气象学报, 2016, 27(5): 620-630. doi: 10.11898/1001-7313.20160510Guo J P. Research progress on agricultural meteorological disaster monitoring and forecasting. J Appl Meteor Sci, 2016, 27(5): 620-630. doi: 10.11898/1001-7313.20160510 [14] 崔一鸣, 毕伊红, 张丹丹, 等. 低温冷害研究进展. 现代农业科技, 2015(24): 240-241;243. doi: 10.3969/j.issn.1007-5739.2015.24.140Cui Y M, Bi Y H, Zhang D D, et al. Research progress of crop low temperature chilling injury indexes. Modern Agric Sci Tech, 2015(24): 240-241;243. doi: 10.3969/j.issn.1007-5739.2015.24.140 [15] 王远皓, 王春乙, 张雪芬. 作物低温冷害指标及风险评估研究进展. 气象科技, 2008, 36(3): 310-317. doi: 10.3969/j.issn.1671-6345.2008.03.011Wang Y H, Wang C Y, Zhang X F. Advances in researches on indexes and risk assessments of crop cold damage. Meteor Sci Technol, 2008, 36(3): 310-317. doi: 10.3969/j.issn.1671-6345.2008.03.011 [16] 王连喜, 孔坚文, 李琪, 等. 中国北方地区几种农业气象灾害指标研究综述. 地球科学进展, 2013, 28(6): 627-636. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201306002.htmWang L X, Kong J W, Li Q, et al. Summary on the main agro-meteorological disasters in Northern China index research. Adv Earth Sci, 2013, 28(6): 627-636. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201306002.htm [17] 丁士晟. 东北地区夏季低温的气候分析及其对农业生产的影响. 气象学报, 1980, 38(3): 234-242. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB198003004.htmDing S S. The climatic analysis of low temperature in summer over the Northeast China and influence for agricultural product. Acta Meteor Sinica, 1980, 38(3): 234-242. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB198003004.htm [18] 马树庆, 袭祝香, 马力文, 等. 北方水稻低温冷害指标持续适用性检验与比较. 气象, 2015, 41(6): 778-785. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201506013.htmMa S Q, Xi Z X, Ma L W, et al. Test and comparison of suitability of meteorological indictors for rice cold damages in the north of China. Meteor Mon, 2015, 41(6): 778-785. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201506013.htm [19] 甄熙, 张超, 李云鹏. 作物低温冷害指标研究进展. 北方农业学报, 2017, 45(2): 94-98. https://www.cnki.com.cn/Article/CJFDTOTAL-NMGN201702020.htmZhen X, Zhang C, Li Y P. Research progress of crop low temperature chilling injury indexes. Northern J Agric, 2017, 45(2): 94-98. https://www.cnki.com.cn/Article/CJFDTOTAL-NMGN201702020.htm [20] 王萍, 李帅, 闫平, 等. 黑龙江省近年低温冷害特征再探. 自然灾害学报, 2010, 19(1): 143-146. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201001024.htmWang P, Li S, Yan P, et al. Re-exploration into recent cold damage characters in Heilongjiang Province. J Nat Disaster, 2010, 19(1): 143-146. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH201001024.htm [21] 李蕊, 郭建平. 东北春玉米非线性积温模型参数改进. 应用气象学报, 2018, 29(2): 154-164. doi: 10.11898/1001-7313.20180203Li R, Guo J P. Improving parameters of nonlinear accumulated temperature model of spring maize in Northeast China. J Appl Meteor Sci, 2018, 29(2): 154-164. doi: 10.11898/1001-7313.20180203 [22] 王春乙, 张继权, 张京红, 等. 综合农业气象灾害风险评估与区划研究. 北京: 气象出版社, 2016: 46. https://www.cnki.com.cn/Article/CJFDTOTAL-ANHE201823128.htmWang C Y, Zhang J Q, Zhang J H, et al. Comprehensive Agrometeorological Disaster Risk Assessment and Regionalization Re-search. Beijing: China Meteorological Press, 2016: 46. https://www.cnki.com.cn/Article/CJFDTOTAL-ANHE201823128.htm [23] 高素华. 玉米延迟型低温冷害的动态监测. 自然灾害学报, 2003, 12(2): 117-121. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200302020.htmGao S H. Dynamic monitoring of growth-delaying type cold damage for corn. J Nat Disaster, 2003, 12(2): 117-121. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200302020.htm [24] 刘布春, 王石立, 庄立伟, 等. 基于东北玉米区域动力模型的低温冷害预报应用研究. 应用气象学报, 2003, 14(5): 616-625. http://qikan.camscma.cn/article/id/20030576Liu B C, Wang S L, Zhuang L W, et al. Study of low temperature damage prediction applications in Northeast China based on a scaling-up maize dynamic model. J Appl Meteor Sci, 2003, 14(5): 616-625. http://qikan.camscma.cn/article/id/20030576 [25] 朱海霞, 陈莉, 王秋京, 等. 1980-2009年期间黑龙江省玉米低温冷害年判定. 灾害学, 2012, 27(1): 44-47;54. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201201008.htmZhu H X, Chen L, Wang Q J, et al. Judgment of corn chilling damage year from 1980 to 2009 in Heilongjiang Province. J Catastr, 2012, 27(1): 44-47;54. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201201008.htm [26] 马玉平, 王石立, 李维京. 基于作物生长模型的玉米生殖期冷害致灾因子研究. 作物学报, 2011, 37(9): 1642-1649. https://www.cnki.com.cn/Article/CJFDTOTAL-XBZW201109019.htmMa Y P, Wang S L, Li W J. Chilling disaster factors in maize reproductive stage based on crop growth model. Acta Agron Sin, 2011, 37(9): 1642-1649. https://www.cnki.com.cn/Article/CJFDTOTAL-XBZW201109019.htm [27] 李祎君. 吉林省玉米低温冷害预测技术研究. 北京: 中国气象科学研究院, 2005.Li Y J. Technical Research in Forecasting the Chilling Damage for Maize of Jilin Provinces. Beijing: Chinese Academy of Meteorological Sciences, 2005. [28] 郭建平, 田志会, 张涓涓. 东北地区玉米热量指数的预测模型研究. 应用气象学报, 2003, 14(5): 626-633. http://qikan.camscma.cn/article/id/20030577Guo J P, Tian Z H, Zhang J J. Forecasting models of heat index for corn in Northeast China. J Appl Meteor Sci, 2003, 14(5): 626-633. http://qikan.camscma.cn/article/id/20030577 [29] 王培娟, 霍治国, 杨建莹, 等. 基于热量指数的东北春玉米冷害指标. 应用气象学报, 2019, 30(1): 13-24. doi: 10.11898/1001-7313.20190102Wang P J, Huo Z G, Yang J Y, et al. Indicators of chilling damage for spring maize based on heat index in Northeast China. J Appl Meteor Sci, 2019, 30(1): 13-24. doi: 10.11898/1001-7313.20190102 [30] 李新建, 毛炜峄, 杨举芳, 等. 以热量指数表示北疆棉区棉花延迟型冷害指标的研究. 棉花学报, 2005, 17(2): 88-93. https://www.cnki.com.cn/Article/CJFDTOTAL-MHXB200502004.htmLi X J, Mao W Y, Yang J F, et al. Characterization of growth-delayed cotton cool damage by heat index in the Northern Xinjiang. Cott Sci, 2005, 17(2): 88-93. https://www.cnki.com.cn/Article/CJFDTOTAL-MHXB200502004.htm [31] 薛志丹, 孟军, 吴秋峰. 基于气候适宜度的黑龙江省大豆种植区划研究. 大豆科学, 2019, 38(3): 399-406. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201903010.htmXue Z D, Meng J, Wu Q F. Soybean planting division in Heilongjiang Province based on climate suitability. Soyb Sci, 2019, 38(3): 399-406. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201903010.htm [32] 温克刚. 中国气象灾害大典(黑龙江卷). 北京: 气象出版社, 2007.Wen K G. Chinese Meteorological Disasters(Heilongjiang). Beijing: China Meteorological Press, 2007. [33] 温克刚. 中国气象灾害大典(吉林卷). 北京: 气象出版社, 2008.Wen K G. Chinese Meteorological Disasters(Jilin). Beijing: China Meteorological Press, 2008. [34] 温克刚. 中国气象灾害大典(辽宁卷). 北京: 气象出版社, 2005.Wen K G. Chinese Meteorological Disasters(Liaoning). Beijing: China Meteorological Press, 2005. [35] 中国气象局. 中国气象灾害年鉴(2005-2019). 北京: 气象出版社, 2005-2019.China Meteorological Administration. China Meteorological Disasters Yearbook(2005-2019). Beijing: China Meteorological Press, 2005-2019. [36] 杨显峰, 杨德光, 汤彦辉, 等. 东北春大豆气候适宜性指标体系的建立研究初步. 种子世界, 2009(11): 36-38. https://www.cnki.com.cn/Article/CJFDTOTAL-SJZZ200911024.htmYang X F, Yang D G, Tang Y H, et al. Preliminary study on establishment of climate suitability index system for spring soybeans in Northeast China. Seed World, 2009(11): 36-38. https://www.cnki.com.cn/Article/CJFDTOTAL-SJZZ200911024.htm [37] 宫丽娟, 吴双, 田宝星, 等. 黑龙江省大豆生长季适宜气象指标的研究. 大豆科学, 2019, 38(3): 391-398. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201903009.htmGong L J, Wu S, Tian B X, et al. Optimal meteorological indices during the growing season of soybean in Heilongjiang Province. Soyb Sci, 2019, 38(3): 391-398. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX201903009.htm [38] 杨建莹, 霍治国, 王培娟, 等. 江西早稻高温热害发生时间分布特征. 应用气象学报, 2020, 31(1): 42-51. doi: 10.11898/1001-7313.20200104Yang J Y, Huo Z G, Wang P J, et al. Occurrence Characteristics of early rice heat disaster in Jiangxi Province. J Appl Meteor Sci, 2020, 31(1): 42-51. doi: 10.11898/1001-7313.20200104 [39] 杨建莹, 霍治国, 王培娟, 等. 中国北方苹果干旱等级指标构建及危险性评价. 应用气象学报, 2021, 32(1): 25-37. doi: 10.11898/1001-7313.20210103Yang J Y, Huo Z G, Wang P J, et al. Evaluation index construction and hazard risk assessment on apple drought in northern China. J Appl Meteor Sci, 2021, 32(1): 25-37. doi: 10.11898/1001-7313.20210103 [40] 汪天颖, 霍治国, 李旭辉, 等. 基于生育时段的湖南省早稻洪涝等级指标及时空变化特征. 生态学杂志, 2016, 35(3): 709-718. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201603020.htmWang T Y, Huo Z G, Li X H, et al. Level indicators and temporal-spatial distribution features of early rice flood disaster in Hunan Province based on different growth stages. Chin J Ecol, 2016, 35(3): 709-718. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201603020.htm [41] 杨建莹, 霍治国, 王培娟, 等. 江西早稻高温热害等级动态判识及时空变化特征. 应用生态学报, 2020, 31(1): 199-207. https://www.cnki.com.cn/Article/CJFDTOTAL-YYSB202001026.htmYang J Y, Huo Z G, Wang P J, et al. Dynamic identification of double-early rice heat and its spatiotemporal characteristics in Jiangxi Province, China. Chin J Appl Ecol, 2020, 31(1): 199-207. https://www.cnki.com.cn/Article/CJFDTOTAL-YYSB202001026.htm [42] 杨宏毅, 霍治国, 杨建莹, 等. 江汉和江南西部春玉米涝渍指标及风险评估. 应用气象学报, 2017, 28(2): 237-246. doi: 10.11898/1001-7313.20170211Yang H Y, Huo Z G, Yang J Y, et al. Indicators and risk of spring corn waterlogging disaster in Jianghan and west region of Jiangnan. J Appl Meteor Sci, 2017, 28(2): 237-246. doi: 10.11898/1001-7313.20170211 [43] 汪天颖, 霍治国, 杨建莹, 等. 湖南晚稻洪涝过程等级指标构建与演变特征. 应用气象学报, 2019, 30(1): 35-48. doi: 10.11898/1001-7313.20190104Wang T Y, Huo Z G, Yang J Y, et al. Process grade indicator construction and evolution characteristics of late rice flood in Hunan. J Appl Meteor Sci, 2019, 30(1): 35-48. doi: 10.11898/1001-7313.20190104 [44] 刘玲, 沙奕卓, 白月明. 中国主要农业气象灾害区域分布与减灾对策. 自然灾害学报, 2003, 12(2): 92-97. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200302015.htmLiu L, Sha Y Z, Bai Y M. Regional distribution of main agrometeorological disasters and disaster mitigation strategies in China. J Nat Disaster, 2003, 12(2): 92-97. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200302015.htm [45] 檀艳静, 张佳华, 姚凤梅, 等. 中国作物低温冷害监测与模拟预报研究进展. 生态学杂志, 2013, 32(7): 1920-1927. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201307038.htmTan Y J, Zhang J H, Yao F M, et al. Monitoring and simulation forecasting on crop chilling damage in China: Research progress. Chin J Ecol, 2013, 32(7): 1920-1927. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201307038.htm [46] 吕佳佳, 朱海霞, 宫丽娟, 等. 1971-2016年寒地大豆霜冻害时空演变特征及对产量影响. 大豆科学, 2020, 39(2): 260-268. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX202002014.htmLyu J J, Zhu H X, Gong L J, et al. Spatial-temporal characteristics of frost damage on soybean and its effect on soybean yield from 1971 to 2016 in cold regions. Soyb Sci, 2020, 39(2): 260-268. https://www.cnki.com.cn/Article/CJFDTOTAL-DDKX202002014.htm [47] 马玉平, 王石立, 李维京. 基于作物生长模型的东北玉米冷害监测预测. 作物学报, 2011, 37(10): 1868-1878. https://www.cnki.com.cn/Article/CJFDTOTAL-XBZW201110024.htmMa Y P, Wang S L, Li W J. Monitoring and predicting of maize chilling damage based on crop growth model in Northeast China. Acta Agron Sin, 2011, 37(10): 1868-1878. https://www.cnki.com.cn/Article/CJFDTOTAL-XBZW201110024.htm -
图(6) / 表(5)
计量
- 摘要浏览量: 1335
- HTML全文浏览量: 319
- PDF下载量: 110
- 被引次数: 0
