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草地贪夜蛾在中国云南的越冬分布及影响环境因素

Overwintering Distribution of Fall Armyworm () in Yunnan, China, and Influencing Environmental Factors.

作者信息

Huang Yanru, Dong Yingying, Huang Wenjiang, Ren Binyuan, Deng Qiaoyu, Shi Yue, Bai Jie, Ren Yu, Geng Yun, Ma Huiqin

机构信息

Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Insects. 2020 Nov 15;11(11):805. doi: 10.3390/insects11110805.

DOI:10.3390/insects11110805
PMID:33203176
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7696661/
Abstract

The first fall armyworm (FAW; ) attack in Yunnan, China, occurred in January 2019. Because FAW lacks diapause ability, its population outbreaks largely depend on environmental conditions experienced during the overwinter months. Thus, there is an urgent need to make short-term predictions regarding the potential overwintering distribution of FAW to prevent outbreaks. In this study, we selected the MaxEnt model with the optimal parameter combination to predict the potential overwintering distribution of FAW in Yunnan. Remote sensing data were used in the prediction to provide real-time surface conditions. The results predict variation in the severity and geographic distribution of suitability. The high potential distribution shows a concentration in southwestern Yunnan that suitability continues to increase from January to March, gradually extending to eastern Yunnan and a small part of the northern areas. The monthly independent contributions of meteorological, vegetation, and soil factors were 30.6%, 16.5%, and 3.4%, respectively, indicating that the suitability of conditions for FAW was not solely dominated by the weather and that ground surface conditions also played a decisive role. These results provide a basis for the precise prevention and control of fall armyworms by guiding management and decision-making and may facilitate meaningful reductions in pesticide application.

摘要

2019年1月,草地贪夜蛾首次入侵中国云南省。由于草地贪夜蛾缺乏滞育能力,其种群爆发在很大程度上取决于越冬期间的环境条件。因此,迫切需要对草地贪夜蛾潜在的越冬分布进行短期预测,以防止其爆发。在本研究中,我们选择具有最优参数组合的最大熵模型来预测草地贪夜蛾在云南的潜在越冬分布。预测过程中使用了遥感数据以提供实时地表状况。结果预测了适宜性的严重程度和地理分布的变化。高潜在分布集中在云南西南部,适宜性从1月到3月持续增加,逐渐扩展到云南东部和北部的一小部分地区。气象、植被和土壤因素的月度独立贡献率分别为30.6%、16.5%和3.4%,这表明草地贪夜蛾的适宜条件不仅仅由天气主导,地表状况也起着决定性作用。这些结果为指导草地贪夜蛾的管理和决策提供了精确防控的依据,并可能有助于大幅减少农药使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/469ab7f3f388/insects-11-00805-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/65da2855df1a/insects-11-00805-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/d590c3f62ea3/insects-11-00805-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/190417f6b1e9/insects-11-00805-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/789adf7b532d/insects-11-00805-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/469ab7f3f388/insects-11-00805-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/65da2855df1a/insects-11-00805-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/d590c3f62ea3/insects-11-00805-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/190417f6b1e9/insects-11-00805-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/789adf7b532d/insects-11-00805-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08c8/7696661/469ab7f3f388/insects-11-00805-g005.jpg

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