ArticleScientific reports2023
Predicting the potential geographical distribution of onion thrips, Thrips tabaci in India based on climate change projections using MaxEnt.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Current and Future Potential Distribution of the Invasive ThripsEcology and evolution · 2026Article
- Weather Conditions and the Risk of Tomato Spotted Wilt Virus (TSWV) in Tomato Producing Areas in Southern Ghana.Plant-environment interactions (Hoboken, N.J.) · 2026Article
- Spatial prediction of Spodoptera frugiperda expansion in India using MaxEnt under shifting climate regimes.Scientific reports · 2025Article
- Climate Change Drives the Distribution of Insect Vectors for GLRaV-3 on a Global Scale.Ecology and evolution · 2025Article
- Assessing the impact of climate change on habitat dynamics ofFrontiers in plant science · 2025Article
- Article
- Unravelling the complete mitochondrial genomes ofFrontiers in insect science · 2025Article
- Prediction of Potential Suitable Distribution Areas for Northeastern China Salamander (Animals : an open access journal from MDPI · 2024Article
- Prediction of the potential distribution of a raspberry (Rubus idaeus) in China based on MaxEnt model.Scientific reports · 2024Article
- Predicting possible distribution of rice leaf roller (Cnaphalocrocis medinalis) under climate change scenarios using MaxEnt model in China.Scientific reports · 2024Article
- Prediction of Potential Suitable Distribution Areas for an Endangered Salamander in China.Animals : an open access journal from MDPI · 2024Article
- Opportunities and Challenges in Applying AI to Evolutionary Morphology.Integrative organismal biology (Oxford, England) · 2024Review
- Temperature extremes nip invasive macrophyteFrontiers in plant science · 2024Article
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11 authors.
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Abstract
Onion thrips, Thrips tabaci Lindeman, an economically important onion pest in India, poses a severe threat to the domestic and export supply of onions. Therefore, it is important to study the distribution of this pest in order to assess the possible crop loss, which it may inflict if not managed in time. In this study, MaxEnt was used to analyze the potential distribution of T. tabaci in India and predict the changes in the suitable areas for onion thrips under two scenarios, SSP126 and SSP585. The area under the receiver operating characteristic curve values of 0.993 and 0.989 for training and testing demonstrated excellent model accuracy. The true skill statistic value of 0.944 and 0.921, and the continuous Boyce index of 0.964 and 0.889 for training and testing, also showed higher model accuracy. Annual Mean Temperature (bio1), Annual Precipitation (bio12) and Precipitation Seasonality (bio15) are the main variables that determined the potential distribution of T. tabaci, with the suitable range of 22-28 °C; 300-1000 mm and 70-160, respectively. T. tabaci is distributed mainly in India's central and southern states, with 1.17 × 10
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