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与中国中部草地贪夜蛾种群动态相关的气候因素分析(双翅目:瘿蚊科)。

Climate factors associated with the population dynamics of Sitodiplosis mosellana (Diptera: Cecidomyiidae) in central China.

机构信息

Institute of Plant Protection, Henan Academy of Agricultural Sciences, Key Laboratory of Crop Pest Control of Henan Province, Key Laboratory of Pest Management in South of North-China, Ministry of Agriculture, Zhengzhou, 450002, China.

Plant Protection and Plant Quarantine Station of Henan Province, Zhengzhou, 450002, China.

出版信息

Sci Rep. 2019 Aug 26;9(1):12361. doi: 10.1038/s41598-019-48868-w.

DOI:10.1038/s41598-019-48868-w
PMID:31451745
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6710241/
Abstract

Understanding the impacts of climate on insect pest population dynamics is crucial in forecasting pest outbreaks and developing a sustainable pest management strategy. The orange wheat blossom midge, Sitodiplosis mosellana (Géhin), is a chronic winter wheat (Triticum aestivum L.) pest in China, and its population density can strongly fluctuate. We analyzed climate factors (temperature and precipitation) associated with population dynamics of S. mosellana in a large-scale field trial in central China from 1984 to 2013 using Generalized linear mixed effects models. We found total precipitation during January-March was significantly positively correlated with population density of S. mosellana, whereas temperature parameters were not correlated with the population levels. Moreover, S. mosellana population size was significantly negative effected by interaction between temperature and precipitation, which showed that high precipitation with low temperature in spring also reduced the population density. This suggests that annual population size of S. mosellana in Central China is determined by soil moisture in early spring. These results provide basic information that will help in forecasting population levels and in developing a sound pest management strategy for S. mosellana.

摘要

了解气候对昆虫害虫种群动态的影响对于预测害虫爆发和制定可持续的害虫管理策略至关重要。桔小实蝇(Sitodiplosis mosellana(Géhin))是中国冬季小麦(Triticum aestivum L.)的慢性害虫,其种群密度波动较大。本研究利用广义线性混合效应模型,分析了 1984 年至 2013 年在中国中部进行的大规模田间试验中与 S. mosellana 种群动态相关的气候因素(温度和降水)。我们发现 1 月至 3 月的总降水量与 S. mosellana 的种群密度呈显著正相关,而温度参数与种群水平不相关。此外,温度和降水之间的相互作用显著影响 S. mosellana 的种群大小,表明春季高降水和低温也降低了种群密度。这表明,中国中部 S. mosellana 的年种群数量取决于早春的土壤水分。这些结果提供了基本信息,有助于预测种群水平,并制定针对 S. mosellana 的健全害虫管理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/07f6614ed5b1/41598_2019_48868_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/5802d112f537/41598_2019_48868_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/5584b218f080/41598_2019_48868_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/07f6614ed5b1/41598_2019_48868_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/5802d112f537/41598_2019_48868_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/78d65cd53d73/41598_2019_48868_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/2bfd40a16a5c/41598_2019_48868_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/5584b218f080/41598_2019_48868_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d86/6710241/07f6614ed5b1/41598_2019_48868_Fig5_HTML.jpg

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