2023
DOI: 10.1007/s42690-023-01000-y
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Mapping the risk of quarantine pest Sternochetus mangiferae under different climate change scenarios through species distribution modelling

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Cited by 2 publications
(2 citation statements)
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“…We randomly assigned 25% of the species distribution points as the test dataset, while the remaining 75% were used as the training dataset. To assess the contribution and importance of each variable to the model construction, we conducted jackknife analysis (Fand et al, 2020;Baradevanal et al, 2023;Ullah et al, 2023). Additionally, we utilized the response curve function to determine the threshold range of the impact of individual environmental variables on the distribution of P. yunnanensis.…”
Section: Maxent Model Construction and Results Evaluationmentioning
confidence: 99%
“…We randomly assigned 25% of the species distribution points as the test dataset, while the remaining 75% were used as the training dataset. To assess the contribution and importance of each variable to the model construction, we conducted jackknife analysis (Fand et al, 2020;Baradevanal et al, 2023;Ullah et al, 2023). Additionally, we utilized the response curve function to determine the threshold range of the impact of individual environmental variables on the distribution of P. yunnanensis.…”
Section: Maxent Model Construction and Results Evaluationmentioning
confidence: 99%
“…Given the limited biological information available about S. internatus, we utilized MaxEnt for species distribution modeling as it effectively leverages presence-only data, potentially revealing informative distributions before the pest invasion (Yeh et al 2021;Baradevanal et al 2023;da Silva et al 2023). We used MaxEnt version 3.4.4 (Phillips et al 2023) in R version 4.3.2 (R Core Team 2023) with the RStudio interface (version 2023.09.01 + 494) (RStudio Team 2023) and the 'dismo' package (Hijmans et al 2022), to predict the global and Taiwanese distribution of the weevil.…”
Section: Model Parameter Settings and Optimizationmentioning
confidence: 99%