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建立当前和未来的豆野螟潜在分布模型,该物种对大豆的危害日益严重。

Modelling the current and future potential distribution of the bean bug Riptortus pedestris with increasingly serious damage to soybean.

机构信息

College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, P. R. China.

College of Life Sciences, Capital Normal University, Beijing, P. R. China.

出版信息

Pest Manag Sci. 2022 Oct;78(10):4340-4352. doi: 10.1002/ps.7053. Epub 2022 Jul 13.

Abstract

BACKGROUND

The bean bug, Riptortus pedestris, has received intense attention in recent years because of its involvement in increasing outbreaks of staygreen syndrome in soybean (Glycine max (L.)), often causing almost 100% loss of soybean yield in China. However, for this pest of great economic importance, potential current and future distribution patterns and their underlying driving factors remain unclear.

RESULTS

Maxent modelling under climate, elevation and land-use (including the distribution information of G. max) variables showed that the current potential distribution covered a vast geographic range, primarily including most parts of south, South East and east Asia. Under future environmental scenarios, suitable habitat expanded markedly. Areas that would become highly suitable for R. pedestris were primarily located in north-east China and west India. Five bioclimatic (BIO13, BIO08, BIO18, BIO02 and BIO07) and one land-use (C3 annual crops) predictors contributed approximately 95% to the modelling, and analyses of curve responses showed that to a certain extent, R. pedestris preferred relatively high temperature and precipitation. Our results indicate that a high risk of R. pedestris outbreaks is present in parts of Asia, especially in the soybean-growing regions of China, and this risk will continue in the future.

CONCLUSION

The predicted distribution pattern and key regulating factors identified herein could provide a vital reference for developing pest management policies and further alleviate the incidence of staygreen syndrome in soybean. © 2022 Society of Chemical Industry.

摘要

背景

豆芜菁(Riptortus pedestris)近年来受到了广泛关注,因为它与大豆(Glycine max (L.))中常绿综合征的爆发有关,在中国,它经常导致大豆几乎 100%的减产。然而,对于这种具有重大经济意义的害虫,其潜在的当前和未来分布模式及其潜在的驱动因素仍不清楚。

结果

基于气候、海拔和土地利用(包括 G. max 的分布信息)变量的 Maxent 模型预测表明,当前的潜在分布范围很广,主要包括南亚、东南亚和东亚的大部分地区。在未来的环境情景下,适宜栖息地显著扩大。对于 R. pedestris 来说,高度适宜的地区主要位于中国东北和印度西部。五个生物气候(BIO13、BIO08、BIO18、BIO02 和 BIO07)和一个土地利用(C3 年生作物)预测因子对模型的贡献约为 95%,曲线响应分析表明,在一定程度上,R. pedestris 更喜欢相对较高的温度和降水。我们的研究结果表明,亚洲部分地区,尤其是中国的大豆种植区,R. pedestris 爆发的风险很高,而且这种风险在未来还将持续。

结论

本研究预测的分布模式和关键调节因子可为制定害虫管理政策提供重要参考,进一步减轻大豆常绿综合征的发生。© 2022 英国化学学会。

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