2022
DOI: 10.3390/insects13121081
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Predicting Climate Change Effects on the Potential Distribution of Two Invasive Cryptic Species of the Bemisia tabaci Species Complex in China

Abstract: Middle East-Asia Minor 1 (MEAM1) and Mediterranean (MED) are two invasive cryptic species of the Bemisia tabaci species complex (Hemiptera: Aleyrodidae) that cause serious damage to agricultural and horticultural crops worldwide. To explore the possible impact of climate change on their distribution, the maximum entropy (MaxEnt) model was used to predict the potential distribution ranges of MEAM1 and MED in China under current and four future climate scenarios, using shared socioeconomic pathways (SSPs), namel… Show more

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Cited by 6 publications
(6 citation statements)
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“…Climate change affects suitable areas for invasive pests ( Abou-Shaara et al 2021 , Tepa-Yotto et al 2021 , Xue et al 2022 ); such changes should be considered when developing pest management strategies. This study predicted that the suitable areas for M. pruinosa will expand under all climate scenarios, indicating a significant increase in its invasive ability.…”
Section: Discussionmentioning
confidence: 99%
“…Climate change affects suitable areas for invasive pests ( Abou-Shaara et al 2021 , Tepa-Yotto et al 2021 , Xue et al 2022 ); such changes should be considered when developing pest management strategies. This study predicted that the suitable areas for M. pruinosa will expand under all climate scenarios, indicating a significant increase in its invasive ability.…”
Section: Discussionmentioning
confidence: 99%
“…The key task in this context is to select an optimal species distribution model. For this purpose, “Maxent,” a general purpose habitat modelling algorithm, was developed for estimating the probability of distributions based on the principle of maximum entropy (Phillips et al., 2006; Xue et al., 2022). For example, the Maxent modelling technique was used to fit occurrence points and current climate data in order to model potential pine beetle distributions and forest vulnerability (Evangelista et al., 2011).…”
Section: Fields That Benefit From Ai Methodsmentioning
confidence: 99%
“…AI can also help identify the most vulnerable species to climate change. By analysing species traits and environmental variables, machine learning algorithms can predict which species are most likely to experience range contractions or expansions under future climate scenarios (Tabor & Koch, 2021; Xue et al., 2022).…”
Section: Fields That Benefit From Ai Methodsmentioning
confidence: 99%
“…The import and export of agricultural products facilitates the invasion of agricultural pests. These activities increase the variety of invasive agricultural pests and result in signi cant economic losses and ecological harm 25,39 . Erionota torus Evans (Lepidoptera: Hesperiidae), is a common banana pest.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, CMIP6 affords improved consideration of the environmental factors in uencing species distribution and provides a more accurate distribution prediction for invasive alien insects.The import and export of agricultural products facilitates the invasion of agricultural pests. These activities increase the variety of invasive agricultural pests and result in signi cant economic losses and ecological harm 25,39 . Erionota torus Evans (Lepidoptera: Hesperiidae), is a common banana pest.…”
mentioning
confidence: 99%