Yang Mingsheng, Yu Jiayi, Wang Yongli, Dewer Youssef, Huo Yiqi, Wang Zhengbing, Zhang Hongfei, Shao Xinliang, Ma Feilong, Shangguan Xinxin, Xu Kedong, Shang Suqin, Ma Keshi
College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan 466001, China.
Dancheng Green Agriculture Observation and Research Station of Henan Province, Zhoukou Normal University, Zhoukou, Henan 466001, China.
J Econ Entomol. 2025 Apr 26;118(2):576-588. doi: 10.1093/jee/toae237.
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.
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,尤其是针对害虫物种的集成建模方法,使用频率较低。禾谷缢管蚜是全球小麦的一种重要害虫,会造成30%的产量损失。在此,我们开发了一系列包含多个变量的集成模型,以预测这种害虫在全球范围内的栖息地适宜性。目前,禾谷缢管蚜的适宜栖息地主要分布在东亚、南亚、欧洲、北美南部、南美南部、澳大利亚东部和新西兰。高度适宜区域主要分布在中国东部、日本、北美大部分地区、南美东南部、欧洲大部分地区以及澳大利亚东南边缘。在未来情景下,适宜栖息地总体上将大幅向北收缩,预计在其他地区不会出现中度或高度适宜的栖息地。我们的研究结果表明,目前上述高度适宜区域存在禾谷缢管蚜爆发的高风险,特别是在小麦种植区,但未来禾谷缢管蚜引发此类爆发的能力将会减弱。与气候相关的因素比土地利用、海拔和寄主植物因素重要得多,尤其是BIO11(最冷月平均温度)在塑造禾谷缢管蚜分布预测方面占主导地位。本文确定的预测分布模式以及影响该模式的关键生态因素可为制定针对这种具有经济重要性的害虫的管理政策提供重要指导。