基于土壤变量集合模型的3种多食果蝇(双翅目:蝗科)生态位比较

Jiayao He, Peishan Sun, Cong Wang, Fan Jiang, Xubin Pan, Ke Chen
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引用次数: 0

摘要

入侵型多食果蝇(双翅目:绢蝇科),包括西瓜直蝇(Coquillett)、祖直蝇(Walker)和带小实蝇(Saunders),对农业和粮食安全构成重大威胁,特别是在东南亚地区。本研究旨在基于气候、土壤和地形等因素,建立和评价3种绦虫的物种分布模型,预测其潜在分布。采用了个体模型和集合模型,并对其进行了测试,以确定整个地区的合适区域。研究还评估了3种植物在关键环境梯度上的生态位。我们的研究结果强调,在预测建模中经常被忽视的土壤因子在塑造其分布和提高模型预测精度方面发挥着关键作用。进一步证明了集成模型在不同建模算法中的优越性。研究结果为了解这些入侵果蝇物种的生态位提供了有价值的见解,并强调了将土壤因素纳入模型预测的必要性,以改进入侵风险评估并为生物安全措施提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecological niche comparisons of 3 polyphagous fruit fly (Diptera: Tephritidae) species using ensemble models with soil variables.

Invasive polyphagous fruit fly (Diptera: Tephritidae) species, including Zeugodacus cucurbitae (Coquillett), Zeugodacus tau (Walker), and Bactrocera zonata (Saunders), pose significant threats to agricultural and food security, particularly in Southeast Asia. This study aims to develop and evaluate species distribution models to predict the potential distribution of the 3 tephritid species based on climatic, soil, and topographic factors. Individual models and ensemble models were employed and tested to identify suitable areas across the region. The study also assesses the ecological niches of the 3 species across key environmental gradients. Our findings highlight that soil factors, often overlooked in predictive modeling, play a critical role in shaping their distributions and improving model prediction accuracy. The outperformance of ensemble models is further demonstrated among different modeling algorithms. The results provide valuable insights into the ecological niches of these invasive fruit fly species, and underscore the necessary of incorporating soil factors in model predictions, to improve invasive risk assessments and inform biosecurity measures.

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