2023
DOI: 10.1016/j.jia.2022.08.023
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Estimation of the potential geographical distribution of a new potato pest (Schrankia costaestrigalis) in China under climate change

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Cited by 6 publications
(2 citation statements)
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“…Species distribution models (SDMs) are powerful tools for simulating the geographic distribution of species based on the available distributional information and corresponding environmental data, and have been widely applied in the prevention of invasive species [18], and the cultivation [19] and protection [20] of species. Among the available SDMs, the maximum entropy model (MaxEnt) outperforms the others for its high accuracy and stability, rapid calculation, and flexible operation [21,22].…”
Section: Introductionmentioning
confidence: 99%
“…Species distribution models (SDMs) are powerful tools for simulating the geographic distribution of species based on the available distributional information and corresponding environmental data, and have been widely applied in the prevention of invasive species [18], and the cultivation [19] and protection [20] of species. Among the available SDMs, the maximum entropy model (MaxEnt) outperforms the others for its high accuracy and stability, rapid calculation, and flexible operation [21,22].…”
Section: Introductionmentioning
confidence: 99%
“…More recent findings from China and Japan suggest that the natural food is more likely to be underground roots and tubers. For example, S. costaestrigalis has emerged as a new crop pest of potato Solanum tuberosum in Guangxi Province, China, with the larvae living underground and eating tubers; at one affected site crop losses approached 90% across almost 300 hectares of crop ( Xian et al , 2022 ; Zeng et al , 2020 ). Similarly, in Tanegashima Island, Japan, S. costaestrigalis has been recorded as a pest of broad bean Vicia faba , again with larvae living underground and eating roots and root nodules ( Yoshimatsu & Nishioka, 1995 ).…”
Section: Introductionmentioning
confidence: 99%