2021
DOI: 10.1111/jen.12861
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Biology and associated fungi of an emerging bark beetle pest, the sweetgum inscriber Acanthotomicus suncei (Coleoptera: Curculionidae)

Abstract: The sweetgum inscriber (SI) Acanthotomicus suncei Cognato is an emerging bark beetle pest that seriously damages American sweetgum trees (Liquidambar styraciflua) and Chinese sweetgum trees (L. formosana) in China. Since 2013, SI has killed more than 30,000 sweetgum trees in Shanghai and adjacent areas. In Shanghai, SI was observed to emerge from infested wood between April–September and exhibited two generations per year. Both the flying populations and those in colonized logs were female‐biased. After the pa… Show more

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Cited by 9 publications
(10 citation statements)
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“…(Table 1). Moreover, the abundant of Geosmithia species associated with Acanthotomicus suncei in the current study was also consistent with the frequent occurrence in Shanghai and Jiangxi (Gao et al 2021).…”
Section: Discussionsupporting
confidence: 89%
“…(Table 1). Moreover, the abundant of Geosmithia species associated with Acanthotomicus suncei in the current study was also consistent with the frequent occurrence in Shanghai and Jiangxi (Gao et al 2021).…”
Section: Discussionsupporting
confidence: 89%
“…Increasing the number of survey sites would improve the accuracy of the prediction. Although there is only sparse data of SI in natural vegetation [8], we still successfully recorded it in a general survey and log traps in Fujian and Jiangxi. However, due to limited manpower or expenditure, there are still some areas at the southern and northern edges where the sweetgum tree naturally grow that were not surveyed.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, minimum temperature of the coldest month (Bio 06) was kept, and temperature seasonality (standard deviation * 100) (Bio 04) was abandoned. Because Bio 04 was strong correlation with Bio 06 and Bio 06 has a greater impact on its biology [8]. Six environmental variables were chosen for SI (Table S2): Precipitation of the warmest quarter (Bio 18), Precipitation of the driest quarter (Bio 17), Precipitation seasonality (coefficient of variation) (Bio 15), Precipitation of the driest month (Bio 14), Mean temperature of the warmest quarter (Bio 10) and Bio 06 in the models of MaxEnt.…”
Section: Modeling Methods and Statistical Analysismentioning
confidence: 97%
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