Forecasting the future of Fall armyworm Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) in India using ecological niche model

IF 2.6 3区 地球科学 Q2 BIOPHYSICS
Ashok Karuppannasamy, Abdelmutalab G. A. Azrag, Geethalakshmi Vellingiri, John Samuel Kennedy, Patil Santosh Ganapati, Sevgan Subramanian, Balasubramani Venkatasamy
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Abstract

The Fall armyworm, Spodoptera frugiperda is the most notorious invasive pest species on maize, recently reported in India. The continuous spread of Fall armyworms to new ecological niches raises global concern. The current study is the first in India to forecast the suitability of a habitat for S. frugiperda using a maximum entropy algorithm. Predictions were made based on an analysis of the relationship between 109 occurrence records of S. frugiperda and pertinent historical, current, and predicted climatic data for the study area. The model indicated that S. frugiperda could thrive in different habitats under the current environmental circumstances, particularly in the west and south Indian states like Maharashtra, Tamil Nadu, and Karnataka. The model predicted that areas with higher latitudes, particularly in Uttar Pradesh, Odisha, West Bengal, and some portions of Telangana, Rajasthan, Chhattisgarh, and Madhya Pradesh, as well as some tracts of northeastern states like Assam and Arunachal Pradesh, would have highly climate-suitable conditions for S. frugiperda to occur in the future. The average AUC value was 0.852, which indicates excellent accuracy of the prediction. A Jackknife test of variables indicated that isothermality with the highest gain value was determining the potential geographic distribution of S. frugiperda. Our results will be useful for serving as an early warning tool to guide decision-making and prevent further spread toward new areas in India.

Abstract Image

利用生态位模型预测印度秋虫 Spodoptera frugiperda (J. E. Smith)(鳞翅目:夜蛾科)的未来。
据最近在印度的报道,秋绵虫(Spodoptera frugiperda)是玉米上最臭名昭著的入侵害虫物种。秋盘虫不断向新的生态位扩散,引起了全球关注。目前的研究是印度首次使用最大熵算法预测秋铃虫栖息地的适宜性。预测是基于对 109 条拂晓蝇出现记录与研究地区相关历史、当前和预测气候数据之间关系的分析。该模型表明,在目前的环境条件下,弗氏蝰蛇可以在不同的栖息地繁衍生息,尤其是在印度西部和南部的马哈拉施特拉邦、泰米尔纳德邦和卡纳塔克邦。该模型预测,纬度较高的地区,尤其是北方邦、奥迪沙邦、西孟加拉邦、特兰甘纳邦、拉贾斯坦邦、恰蒂斯加尔邦和中央邦的部分地区,以及东北部的阿萨姆邦和阿鲁纳恰尔邦等一些地区,未来将具有非常适合笛琵蛙生长的气候条件。平均 AUC 值为 0.852,表明预测的准确性极高。杰克刀变量检验表明,增益值最高的等温线决定了弗氏蝰可能的地理分布。我们的研究结果将有助于作为一种早期预警工具,指导印度的决策并防止其进一步向新的地区扩散。
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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