一种重要蚜虫的潜在全球分布:来自多变量集成模型的见解。

Mingsheng Yang, Jiayi Yu, Yongli Wang, Youssef Dewer, Yiqi Huo, Zhengbing Wang, Hongfei Zhang, Xinliang Shao, Feilong Ma, Xinxin Shangguan, Kedong Xu, Suqin Shang, Keshi Ma
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摘要

物种分布模型被广泛用于预测入侵物种的潜在分布。然而,集成建模方法已较少使用,特别是害虫物种。樱蚜(Rhopalosiphum padi L.)是世界范围内小麦(Triticum aestivum L.)的重要害虫,造成30%的产量损失。在此,我们开发了一系列多变量集合模型来预测该害虫在全球范围内的栖息地适宜性。目前的适宜生境主要分布在东亚、南亚、欧洲、北美南部、南美南部、澳大利亚东部和新西兰。高度适宜的地区主要分布在中国东部、日本、北美大部分地区、南美东南部、欧洲大部分地区和澳大利亚东南部边缘。在未来的情景中,适合这种害虫的栖息地将在整个北部经历显著的收缩,并且预计在其他地区没有中等或高度适合这种害虫的栖息地。我们的研究结果表明,在上述高度适宜的地区,尤其是小麦种植区,目前存在着稻瘟病暴发的高风险,但未来稻瘟病暴发的能力将会减弱。气候相关因子比土地利用、海拔和寄主植物因子更重要,尤其是BIO11(最冷季平均温度)在影响白花蒿分布的预测中占主导地位。本文确定的预测分布格局和影响分布格局的关键生态因子对制定防治政策具有重要的指导意义。
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Potential global distributions of an important aphid pest, Rhopalosiphum padi: insights from ensemble models with multiple variables.

Species distribution modeling is extensively used for predicting potential distributions of invasive species. However, an ensemble modeling approach has been less frequently used particularly pest species. The bird cherry-oat aphid Rhopalosiphum padi L. is an important pest of wheat (Triticum aestivum L.) worldwide and causes 30% yield losses. Here, we developed a series of ensemble models with multiple variables to predict the habitat suitability of this pest at a global scale. The current suitable habitat for R. padi is mainly distributed in East Asia, South Asia, Europe, southern North America, southern South America, eastern Australia, and New Zealand. The highly suitable regions are primarily distributed in east of China, Japan, most of North America, southeastern South America, most of Europe, and southeastern edge of Australia. In future scenarios, the suitable habitats will undergo a significant contraction overall northward, and no moderately nor highly suitable habitats are predicted for this pest in other areas. Our findings indicate that a high risk of R. padi outbreaks currently exists for the highly suitable regions mentioned above, especially with wheat cultivation, but the capacity of R. padi to cause such outbreaks will weaken in the future. Climate-associated factors are significantly more important than land use, elevation and host-plant factors, and the BIO11 (mean temperature of the coldest quarter), in particular, predominated in shaping projections of R. padi's distribution. The predicted distribution pattern and key ecological factors affecting this pattern identified herein could provide important guidance for developing management policies targeting this economically important pest.

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