Climatic Risk Assessment of Winter Wheat Aphids in Northern China
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摘要: 基于1958—2018年中国北方冬小麦主产区8个主产省(市)小麦蚜虫发生面积、防治面积和小麦播种面积、产量损失、561个气象站点逐日气象资料和典型农业气象站小麦发育期资料,采用相关分析、主成分分析和回归分析等方法,构建华北、黄淮及苏皖地区小麦蚜虫分区域的气候致灾指数。以小麦蚜虫年代际气候致灾指数所划分不同致灾等级发生频次作为小麦蚜虫气候危险性指标,采用小麦蚜虫发生面积率作为脆弱性指标,防治面积与发生面积比值作为防灾减灾能力指标,综合评估小麦蚜虫气候风险趋势。结果表明:北方冬小麦主产区小麦蚜虫气候危险性呈增加态势,年代际差异明显;小麦蚜虫发生脆弱性随年代变化也呈逐步加重态势;小麦蚜虫防灾减灾能力总体呈逐步增强趋势,20世纪90年代提升显著;90年代起小麦蚜虫气候风险逐步加重,高风险范围逐渐扩大,华北、黄淮分别于21世纪初、2011—2018年风险等级达最高;小麦蚜虫气候风险高的区域主要分布在北京、天津、河北中南部大部、山东北部部分地区,较高区域分布在山东大部、河南北部等地。Abstract: Northern China is a main winter wheat production area and plays an important role in ensuring food security. Wheat aphids, as one kind of main agricultural pest, threaten wheat production. Based on wheat aphids disaster and prevention data, planting area and yield loss of wheat, growth period of winter wheat, and daily meteorological data at 561 observation stations from 1958 to 2018 in 8 main wheat production provinces of northern China, relationships between surface meteorological factors and the occurrence area of wheat aphids for every province in North China and Huanghuai area are fully analyzed using methods of correlation analysis, principal component analysis and stepwise regression analysis in various time-periods from last December to 10 June. Eight key meteorological factors which affect the occurrence area of wheat aphids in North China and 6 key meteorological factors for Huanghuai area are determined. The climate disaster indices of wheat aphids are established based on the normalized key meteorological factors and validated in 8 provinces. Furthermore, climatic risk aspects are assessed to explore the occurrence tendency of winter wheat aphids in northern China. The frequencies of different-level decadal climate disasters are taken as hazard index, the ratio of occurrence area of wheat aphids to the wheat-sown area is defined as vulnerability index, and the ratio of controlled area to occurrence area is calculated to measure the disaster prevention and mitigation capability.Comprehensive risk index is built by integrating hazard, vulnerability, disaster prevention and mitigation capability indexes to assess risk development trend in decades. The results show that the climatic hazard for wheat aphids tends to increase gradually and there are significant differences in different decades. The vulnerability for wheat aphids tends to be severe over time.The disaster prevention and mitigation capability for wheat aphids tends to improve gradually especially in the 1990s, and the trend slows down since 2001. The comprehensive climatic risk has been more severe and their scopes of the highest risk have been larger since the 1990s. The climatic risk is highest in Beijing, Tianjin, central-south Hebei, part of north Shandong. And it's the second highest in most of Shandong, north Henan, eastern and southern Shanxi, and north Jiangsu area, where effective measures should be taken to reduce the detriment of wheat aphids.
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Key words:
- northern China;
- wheat aphids;
- hazard;
- vulnerability;
- climatic risk
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表 1 小麦蚜虫气候风险评估因子分级标准
Table 1 Grade criterion of factors for assessing risk of wheat aphids
因子 低 中等 较高 高 危险性 [0.5,0.65] (0.65,0.70] (0.70,0.75] (0.75,1] 脆弱性 [0.5,0.64] (0.64,0.77] (0.77,0.90] (0.90,1] 防灾减灾能力 [0.5,0.68] (0.68,0.74] (0.74,0.80] (0.80,1] 气候风险 [0.0,0.46] (0.46,0.53] (0.53,0.61] (0.61,1] 表 2 北方冬麦区代表省(市)小麦蚜虫发生面积和发生面积率年代变化
Table 2 Occurrence area, the ratio of occurrence area of wheat aphids in different decades in representative provinces of northern China
时段 河南 山东 河北 年平均发生面积/万公顷次 年平均发生面积率/% 年平均发生面积/万公顷次 年平均发生面积率/% 年平均发生面积/万公顷次 年平均发生面积率/% 1961—1970年 84.9 22.4 14.1 4.0 46.3 21.8 1971—1980年 69.7 18.5 110.5 29.6 104.5 39.4 1981—1990年 143.4 31.6 190.8 49.1 179.2 74.9 1991—2000年 306.7 63.1 332.9 82.6 255.0 98.0 2001—2010年 355.5 70.0 334.1 97.6 220.5 92.0 2011—2018年 376.4 67.4 350.9 89.4 228.9 95.3 -
[1] 王秀美,牟少敏,时爱菊,等.局部支持向量回归在小麦蚜虫预测中的研究与应用.山东农业大学学报(自然科学版),2016,47(1):52-56. https://www.cnki.com.cn/Article/CJFDTOTAL-SCHO201601011.htmWang X M, Mu S M, Shi A J, et al. Research and application of local support vector regression in prediction of wheat aphid. Journal of Shandong Agricultural University (Nat Sci Ed), 2016, 47(1): 52-56. https://www.cnki.com.cn/Article/CJFDTOTAL-SCHO201601011.htm [2] 杨益众, 林冠伦, 胡长富. 麦蚜为害对小麦品质和产量的影响及其防治指标的初步研究. 植物保护学报, 1992, 19(2): 152;158. https://www.cnki.com.cn/Article/CJFDTOTAL-ZWBF199202012.htmYang Y Z, Lin G L, Hu C F. Effects on wheat quality and yield by aphid infestation, index with discussions on control. Acta Phytophylacica Sinica, 1992, 19(2): 152;158. https://www.cnki.com.cn/Article/CJFDTOTAL-ZWBF199202012.htm [3] 程芳芳, 王玉岗, 李红卫, 等. 郑州市麦蚜发生气象条件分析及预报研究. 气象与环境科学, 2012, 35(3): 81-84. https://www.cnki.com.cn/Article/CJFDTOTAL-HNQX201203013.htmCheng F F, Wang Y G, Li H W. Analysis of meteorological conditions and the forecast study on the wheat aphid in Zhengzhou. Meteorological and Environmental Sciences, 2012, 35(3): 81-84. https://www.cnki.com.cn/Article/CJFDTOTAL-HNQX201203013.htm [4] 刘绍友. 农业昆虫学. 杨凌: 天则出版社, 1990: 96-98.Liu S Y. Agricultural Entomology. Yangling: Tianze Press, 1990: 96-98. [5] 牟吉元. 农业昆虫学. 北京: 中国农业科技出版社, 1995: 225-237.Mu J Y. Agricultural Entomology. Beijing: China Agricultural Science and Technology Press, 1995: 225-237. [6] 杨效文. 麦长管蚜穗型蚜研究初报. 华北农学报, 1991, 6(2): 103-107. https://www.cnki.com.cn/Article/CJFDTOTAL-HBNB199102016.htmYang X W. Preliminary study on the ear-type aphid of English grain aphid Sitobion avenae F. Acta Agriculturae Boreali-Sinica, 1991, 6(2): 103-107. https://www.cnki.com.cn/Article/CJFDTOTAL-HBNB199102016.htm [7] 戴鹏. 不同干旱地区麦长管蚜对缺水胁迫的响应及其遗传基础. 杨凌: 西北农林科技大学, 2016.Dai P.Responses of Sitobion avenae (Fabricius) to Water-deficit Stress and the Underlying Genetic Basis.Yangling: Northwest A&F University, 2016. [8] 李淑华. 气候变化对中国农业病虫害的影响//邓根云. 气候变化对中国农业的影响. 北京: 北京科学技术出版社, 1993: 223-234.Li S H.The Influence of Greenhouse Effect on Agricultural Diseases and Pests in China//Deng G Y.The Influence of Greenhouse Effect on Agriculture in China.Beijing: Beijing Science and Technology Press, 1993: 223-234. [9] 郭建平. 气候变化对中国农业生产的影响研究进展. 应用气象学报, 2015, 26(1): 1-11. doi: 10.11898/1001-7313.20150101Guo J P. Advances in impacts of climate change on agricultural production in China. J Appl Meteor Sci, 2015, 26(1): 1-11. doi: 10.11898/1001-7313.20150101 [10] 霍治国, 李茂松, 李娜, 等. 季节性变暖对中国农作物病虫害的影响. 中国农业科学, 2012, 45(11): 2168-2179. https://www.cnki.com.cn/Article/CJFDTOTAL-ZNYK201211006.htmHuo Z G, Li M S, Li N, et al. Impacts of seasonal climate warming on crop diseases and pests in China. Scientia Agricultura Sinica, 2012, 45(11): 2168-2179. https://www.cnki.com.cn/Article/CJFDTOTAL-ZNYK201211006.htm [11] 霍治国, 李茂松, 王丽, 等. 气候变暖对中国农作物病虫害的影响. 中国农业科学, 2012, 45(10): 1926-1934. https://www.cnki.com.cn/Article/CJFDTOTAL-ZNYK201210006.htmHuo Z G, Li M S, Wang L, et al. Impacts of climate warming on crop diseases and pests in China. Scientia Agricultura Sinica, 2012, 45(10): 1926-1934. https://www.cnki.com.cn/Article/CJFDTOTAL-ZNYK201210006.htm [12] 叶彩玲, 霍治国, 丁胜利, 等. 农作物病虫害气象环境成因研究进展. 自然灾害学报, 2005, 14(1): 90-97. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH20050100D.htmYe C L, Huo Z G, Ding S L, et al. Advance in study on formation of meteorological environment causing crop's diseases and insect pests. Journal of Natural Disasters, 2005, 14(1): 90-97. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH20050100D.htm [13] 王纯枝, 霍治国, 张蕾, 等. 北方地区小麦蚜虫气象适宜度预报模型构建. 应用气象学报, 2020, 31(3): 280-289. doi: 10.11898/1001-7313.20200303Wang C Z, Huo Z G, Zhang L, et al. Construction of forecasting model of meteorological suitability for wheat aphids in northern China. J Appl Meteor Sci, 2020, 31(3): 280-289. doi: 10.11898/1001-7313.20200303 [14] 侯英雨, 张蕾, 吴门新, 等. 国家级现代农业气象业务技术进展. 应用气象学报, 2018, 29(6): 641-656. doi: 10.11898/1001-7313.20180601Hou Y Y, Zhang L, Wu M X, et al. Advances of modern agrometeorological service and technology in China. J Appl Meteor Sci, 2018, 29(6): 641-656. doi: 10.11898/1001-7313.20180601 [15] Zhang K, Pan X, Yu D, et al. Systemically modeling the relationship between climate change and wheat aphid abundance. Science of The Total Environment, 2019(674): 392-400. http://www.zhangqiaokeyan.com/academic-journal-foreign_other_thesis/0204113064054.html [16] Drake V A. The influence of weather and climate on agriculturally important insects: An Australian perspective. Australian Journal of Agricultural Research, 1994, 45(3): 487-509. doi: 10.1071/AR9940487 [17] 李文峰, 尹彬, 曹志伟, 等. 许昌市小麦蚜虫种群变化规律及气象预测模型. 河南农业科学, 2011, 40(3): 81-84. https://www.cnki.com.cn/Article/CJFDTOTAL-HNNY201103025.htmLi W F, Yin B, Cao Z W, et al. Variation of wheat aphid population in Xuchang and prediction models with meteorological data. Journal of Henan Agricultural Sciences, 2011, 40(3): 81-84. https://www.cnki.com.cn/Article/CJFDTOTAL-HNNY201103025.htm [18] Mattson W J, Haack R A. The role of drought in outbreaks of Plant eating insects. Bioscience, 1987, 37(2): 110-118. doi: 10.2307/1310365 [19] 张孝羲, 翟保平, 牟吉元, 等. 昆虫生态及预测预报. 北京: 中国农业出版社, 1985: 205-207.Zhang X X, Zhai B P, Mu J Y, et al. Insect Ecology and Forecast. Beijing: China Agriculture Press, 1985: 205-207. [20] 靳然, 李生才. 基于小波神经网络的麦蚜发生程度预测模型. 昆虫学报, 2015, 58(8): 893-903. https://www.cnki.com.cn/Article/CJFDTOTAL-KCXB201508010.htmJin R, Li S C. Forecasting model for the occurrence degree of wheat aphids based on wavelet neural network. Acta Entomologica Sinica, 2015, 58(8): 893-903. https://www.cnki.com.cn/Article/CJFDTOTAL-KCXB201508010.htm [21] 王贺军, 王贵生, 张连生, 等. 河北省棉花苗期蚜虫的生态区划. 中国农业气象, 1989, 10(3): 43-46. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGNY198903009.htmWang H J, Wang G S, Zhang L S, et al. Ecological Regionalization of aphids in cotton seeding stage in Hebei Province. Chinese Journal of Agrometeorology, 1989, 10(3): 43-46. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGNY198903009.htm [22] 郭安红, 王纯枝, 李轩, 等. 东北地区落叶松毛虫灾害气象风险区划初步研究. 灾害学, 2012, 27(2): 24-28. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201202006.htmGuo A H, Wang C Z, Li X, et al. Preliminary study on meteorological risk zoning of pine moth infestation in northeast China. Journal of Catastrophology, 2012, 27(2): 24-28. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU201202006.htm [23] 张蕾, 郭安红, 王纯枝. 小麦白粉病气候风险评估. 生态学杂志, 2016, 35(5): 1330-1337. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201605029.htmZhang L, Guo A H, Wang C Z. Climatic risk assessment of wheat powdery mildew in China. Chinese Journal of Ecology, 2016, 35(5): 1330-1337. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201605029.htm [24] 吴传钧. 中国土地利用图(1: 400万). 北京: 测绘出版社, 2001.Wu C J. Land Use Map of China. Beijing: SinoMaps Press, 2001. [25] Cleveland W S, Devlin S J. Locally weighted regression: An approach to regression analysis by local fitting. Journal of American Statistical Association, 1988, 83: 596-610. doi: 10.1080/01621459.1988.10478639 [26] 徐雅. 基于GIS技术的主要气象灾害风险评估技术研究. 南宁: 广西师范学院, 2014.Xu Y.The Research on Risk Evaluation Technology of Meteorological Disaster Based on GIS.Nanning: Guangxi Teachers Education University, 2014. [27] 毛留喜, 魏丽. 大宗作物气象服务手册. 北京: 气象出版社, 2015.Mao L X, Wei L. Meteorological Service Manual of Staple Crops. Beijing: China Meteorological Press, 2015. [28] 李世奎, 霍治国, 王素艳, 等. 农业气象灾害风险评估体系及模型研究. 自然灾害学报, 2004, 13(1): 77-87. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200401013.htmLi S K, Huo Z G, Wang S Y, et al. Risk evaluation system and models of agrometeorological disasters. Journal of Natural Disasters, 2004, 13(1): 77-87. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200401013.htm [29] 史培军. 五论灾害系统研究的理论与实践. 自然灾害学报, 2009, 18(5): 1-9. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200905000.htmShi P J. Theory and practice on disaster system research in a fifth time. Journal of Natural Disasters, 2009, 18(5): 1-9. https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200905000.htm [30] 贾慧聪, 王静爱, 潘东华, 等. 基于EPIC模型的黄淮海夏玉米旱灾风险评价. 地理学报, 2011, 66(5): 643-652. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201105010.htmJia H C, Wang J A, Pan D H, et al. Maize drought disaster risk assessment based on EPIC model: A case study of maize region in northern China. Acta Geographica Sinica, 2011, 66(5): 643-652. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201105010.htm [31] 陈家金, 李丽纯, 林晶, 等. 福建省枇杷气象灾害综合风险评估. 应用气象学报, 2014, 25(2): 232-241. http://qikan.camscma.cn/article/id/20140213Chen J J, Li L C, Lin J, et al. Integrated risk evaluation on meteorological disasters of loquat in Fujian Province. J Appl Meteor Sci, 2014, 25(2): 232-241. http://qikan.camscma.cn/article/id/20140213 [32] 张福山. 植物保护对中国粮食生产安全影响的研究. 福州: 福建农林大学, 2007.Zhang F S.Study on the impact of plant protection on grain production security in China.Fuzhou: Fujian Agriculture and Forestry University, 2007. [33] 周树堂, 王俊章. 河南小麦病虫害的演变和趋势. 病虫测报, 1991(2): 49-51. https://www.cnki.com.cn/Article/CJFDTOTAL-ZBJS199102020.htmZhou S T, Wang J Z. Development and trend of diseases and pests of wheat in Henan Province. Journal of Forecast of Disease and Pest, 1991(2): 49-51. https://www.cnki.com.cn/Article/CJFDTOTAL-ZBJS199102020.htm [34] 全国农业技术推广服务中心. 农作物重大病虫害监测预警工作年报(2014). 北京: 中国农业出版社, 2015.National Agro-Technical Extension and Service Center. Annual Report on Monitoring and Early Warning of Major Crop Diseases and Pests(2014). Beijing: China Agriculture Press, 2015. [35] 全国农业技术推广服务中心. 农作物重大病虫害监测预警工作年报(2015). 北京: 中国农业出版社, 2016.National Agro-Technical Extension and Service Center. Annual Report on Monitoring and Early Warning of Major Crop Diseases and Pests(2015). Beijing: China Agriculture Press, 2016. [36] 张蕾, 杨冰韵. 北方冬小麦不同生育期干旱风险评估. 干旱地区农业研究, 2016, 34(4): 274-280;286. https://www.cnki.com.cn/Article/CJFDTOTAL-GHDQ201604042.htmZhang L, Yang B Y. Risk assessment of drought damage during growing stages for winter wheat in North China. Agricultural Research in the Arid Areas, 2016, 34(4): 274-280;286. https://www.cnki.com.cn/Article/CJFDTOTAL-GHDQ201604042.htm [37] 王连喜, 王田, 李琪, 等. 基于作物水分亏缺指数的河南省冬小麦干旱时空特征分析. 江苏农业科学, 2019, 47(12): 83-88. https://www.cnki.com.cn/Article/CJFDTOTAL-JSNY201912017.htmWang L X, Wang T, Li Q, et al. Study on spatial and temporal characteristics of drought of winter wheat in Henan Province based on crop water deficit index. Jiangsu Agricultural Sciences, 2019, 47(12): 83-88. https://www.cnki.com.cn/Article/CJFDTOTAL-JSNY201912017.htm [38] 中国气象局. 中国气象灾害年鉴(2014年). 北京: 气象出版社, 2015.China Meteorological Administration. China Meteorological Disaster Yearbook(2014). Beijing: China Meteorological Press, 2015. [39] 王玉洁, 周波涛, 任玉玉, 等. 全球气候变化对我国气候安全影响的思考. 应用气象学报, 2016, 27(6): 750-758. doi: 10.11898/1001-7313.20160612Wang Y J, Zhou B T, Ren Y Y, et al. Impacts of global climate change on China's climate security. J Appl Meteor Sci, 2016, 27(6): 750-758. doi: 10.11898/1001-7313.20160612 [40] 任三学, 赵花荣, 齐月, 等. 气候变化背景下麦田沟金针虫爆发性发生为害. 应用气象学报, 2020, 31(5): 620-630. doi: 10.11898/1001-7313.20200509Ren S X, Zhao H R, Qi Y, et al. The outbreak and damage of the Pleonomus Canaliculatus in wheat field under the background of climate change. J Appl Meteor Sci, 2020, 31(5): 620-630. doi: 10.11898/1001-7313.20200509 [41] 王纯枝, 张蕾, 郭安红, 等. 基于大气环流的稻纵卷叶螟气象预测模型. 应用气象学报, 2019, 30(5): 565-576. doi: 10.11898/1001-7313.20190505Wang C Z, Zhang L, Guo A H, et al. Long-term meteorological prediction model on the occurrence and development of rice leaf roller based on atmospheric circulation. J Appl Meteor Sci, 2019, 30(5): 565-576. doi: 10.11898/1001-7313.20190505 [42] 丁一汇, 李霄, 李巧萍. 气候变暖背景下中国地面风速变化研究进展. 应用气象学报, 2020, 31(1): 1-12. doi: 10.11898/1001-7313.20200101Ding Y H, Li X, Li Q P. Advances of surface wind speed changes over China under global warming. J Appl Meteor Sci, 2020, 31(1): 1-12. doi: 10.11898/1001-7313.20200101 [43] Hartmann D L, Tank A M G K, Rusticucci M. Working Group Ⅰ Contribution to the IPCC Fifth Assessment Report, Climate Change 2013: The Physical Science Basic. Cambridge: Cambridge University Press, 2013: 1535. [44] 周广胜, 何奇瑾, 汲玉河. 适应气候变化的国际行动和农业措施研究进展. 应用气象学报, 2016, 27(5): 527-533. doi: 10.11898/1001-7313.20160502Zhou G S, He Q J, Ji Y H. Advances in the international action and agricultural measurements of adaptation to climate change. J Appl Meteor Sci, 2016, 27(5): 527-533. doi: 10.11898/1001-7313.20160502 [45] 李晶晶. 夜间温度升高对小麦蚜虫实验种群的影响. 杨凌: 西北农林科技大学, 2011.Li J J.Effects of Elevated Nocturnal Temperature on Experimental Population of Cereal Aphids.Yangling: Northwest A&F University, 2011. [46] Awmack C S, Harrington R, Leather S R. Host plant effects on the performance of the aphid 91 Aulacorthum solani (Homoptera: Aphididae) at ambient and elevated CO2. Global Change Biology, 1997(3): 545-549. doi: 10.1046/j.1365-2486.1997.t01-1-00087.x