Predicting suitable areas for Metcalfa pruinosa (Hemiptera: Flatidae) under climate change and implications for management.

IF 2.1 3区 农林科学 Q1 ENTOMOLOGY Journal of Insect Science Pub Date : 2024-05-01 DOI:10.1093/jisesa/ieae053
Zhengxue Zhao, Lin Yang, Jiankun Long, Zhimin Chang, Xiangsheng Chen
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Abstract

Climate change is a prominent factor reshaping the distribution of invasive species. Metcalfa pruinosa (Say 1830) (Hemiptera: Flatidae), native to North America, has invaded other continents and poses a serious threat to various agricultural crops and the human residential environment. Understanding the distribution of M. pruinosa based on climatic conditions is a critical first step to prevent its further invasion. Therefore, based on its occurrence records and associated environmental variables, a Maxent model was developed to predict suitable areas for this species in the present and future on a global scale. The model exhibited outstanding performance, with a mean area under the receiver operating characteristic curve and true skill statistic values of 0.9329 and 0.926, respectively. The model also indicated that annual precipitation (Bio12) and max temperature of the warmest month (Bio5) were the key environmental variables limiting the distribution of M. pruinosa. Moreover, the model revealed that the current suitable area is 1.01 × 107 km2 worldwide, with southern China, southern Europe, and the eastern United States predicted to be the primary and highly suitable areas in the latter 2 regions. This area is expected to increase under future climate scenarios, mainly in the northern direction. The study's findings contribute to our understanding of climate change's impact on M. pruinosa distribution, and they will aid governments in developing appropriate pest management strategies, including global monitoring and strict quarantine measures.

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预测气候变化下Metcalfa pruinosa(半翅目:扁科)的适宜区域及其对管理的影响。
气候变化是改变入侵物种分布的一个突出因素。Metcalfa pruinosa(Say 1830)(半翅目:鞘翅目)原产于北美洲,现已入侵其他大陆,对各种农作物和人类居住环境构成严重威胁。了解基于气候条件的 M. pruinosa 的分布情况是防止其进一步入侵的关键第一步。因此,根据该物种的出现记录和相关环境变量,建立了一个 Maxent 模型,以预测该物种目前和未来在全球范围内的适宜分布区域。该模型表现优异,接收者工作特征曲线下的平均面积和真实技能统计值分别为 0.9329 和 0.926。该模型还表明,年降水量(Bio12)和最热月份的最高气温(Bio5)是限制普鲁诺萨蘑菇分布的关键环境变量。此外,该模型还显示,目前全球的适宜面积为 1.01 × 107 平方公里,预计中国南部、欧洲南部和美国东部是后两个地区的主要和高度适宜区。在未来的气候情景下,这一面积预计还会增加,主要是向北部方向增加。该研究结果有助于我们了解气候变化对 M. pruinosa 分布的影响,并有助于各国政府制定适当的虫害管理策略,包括全球监测和严格的检疫措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Insect Science
Journal of Insect Science 生物-昆虫学
CiteScore
3.70
自引率
0.00%
发文量
80
审稿时长
7.5 months
期刊介绍: The Journal of Insect Science was founded with support from the University of Arizona library in 2001 by Dr. Henry Hagedorn, who served as editor-in-chief until his death in January 2014. The Entomological Society of America was very pleased to add the Journal of Insect Science to its publishing portfolio in 2014. The fully open access journal publishes papers in all aspects of the biology of insects and other arthropods from the molecular to the ecological, and their agricultural and medical impact.
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