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基于最大熵模型预测卡罗来纳墨天牛(鞘翅目:天牛科)的当前及未来分布

Predicting the current and future distribution of Monochamus carolinensis (Coleoptera: Cerambycidae) based on the maximum entropy model.

作者信息

Zhao Jiaqiang, Zou Xvbing, Yuan Fei, Luo Youqing, Shi Juan

机构信息

Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China.

Sino-France Joint Laboratory for Invasive Forest Pests in Eurasia, Beijing Forestry University, Beijing, China.

出版信息

Pest Manag Sci. 2023 Dec;79(12):5393-5404. doi: 10.1002/ps.7753. Epub 2023 Sep 23.

Abstract

BACKGROUND

Monochamus carolinensis is an important vector of pinewood nematodes in North America that is under quarantine in several countries worldwide. The distribution of M. carolinensis was previously thought to be limited to North America; however, we discovered it during trapping in China in 2022. Using this discovery and information regarding the area of origin, we applied a machine-learning algorithm based on the maximum entropy principle to predict the current and future (2050s, 2070s) potential distribution areas of M. carolinensis using bioclimatic variables.

RESULTS

The biological suitability of M. carolinensis was mainly driven by precipitation factors (BIO18, BIO15, BIO19), with 87.18% of the potential distribution areas located in South America, Asia, North America and Africa. Future potential distribution areas of M. carolinensis are predicted to expand to high latitudes, with an average increase of 10 245 874.88 km , and only 6.89% of the current suitable areas will become unsuitable. The potential distribution areas in 2070 are largest under the SSP585 scenario, with a 41.40% predicted increase (52 309 803.61 km ) above the current distribution, mainly reflecting an increase of the marginally and highly suitable areas.

CONCLUSION

The determination of dominant climatic factors and potential distribution areas will help provide an early warning for an M. carolinensis invasion, as well as provide a scientific basis for the spread and outbreak, facilitating development of effective governmental prevention and control measures. © 2023 Society of Chemical Industry.

摘要

背景

卡罗来纳墨天牛是北美松材线虫的重要传播媒介,在世界多个国家被列入检疫对象。卡罗来纳墨天牛的分布以前被认为仅限于北美;然而,我们在2022年中国的诱捕过程中发现了它。利用这一发现以及有关原产地的信息,我们应用了一种基于最大熵原理的机器学习算法,利用生物气候变量预测卡罗来纳墨天牛当前和未来(2050年代、2070年代)的潜在分布区域。

结果

卡罗来纳墨天牛的生物适宜性主要受降水因子(BIO18、BIO15、BIO19)驱动,87.18%的潜在分布区域位于南美洲、亚洲、北美洲和非洲。预计卡罗来纳墨天牛未来的潜在分布区域将向高纬度地区扩展,平均增加10245874.88平方千米,当前适宜区域中只有6.89%将变得不适宜。在SSP585情景下,2070年的潜在分布区域最大,预计比当前分布增加41.40%(52309803.61平方千米),主要反映了边缘适宜和高度适宜区域的增加。

结论

确定主导气候因子和潜在分布区域将有助于为卡罗来纳墨天牛的入侵提供早期预警,并为其传播和爆发提供科学依据,促进政府制定有效的预防和控制措施。©2023化学工业协会。

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