NDLI: The potential geographic distribution of Bactrocera correcta (Diptera: Tephrididae) in China based on eclosion rate model

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Applied Entomology and Zoology : Volume 50, Issue 2, May 2015

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The potential geographic distribution of Bactrocera correcta (Diptera: Tephrididae) in China based on eclosion rate model

Content Provider	Springer Nature Link
Author	Qin, Yujia Ni, Wenlong Wu, Jiajiao Zhao, Zihua Chen, Hongjun Li, Zhihong
Copyright Year	2015
Abstract	The guava fruit fly, Bactrocera correcta (Bezzi) (Diptera: Tephritidae), is an invasive pest of fruit and vegetable crops that primarily inhabits Southeast Asia and which has the potential to become a major threat within both the Oriental and Australian oceanic regions, as well as California and Florida. In light of the threat posed, it is important to know the potential geographic distribution of this pest in quarantine work in order to provide an early warning and to prevent its widespread invasion effectively. In this study, the eclosion rate model was constructed from empirical biological data and analyzed using stepwise regression, based on the soil temperature and moisture data of Chinese meteorological stations, and mapped with ArcGIS. Using this information, the potential geographic distribution of B. correcta from January to December in China was predicted. The results showed that most regions in China were optimally suitable for B. correcta from May to September. Monitoring measures in the north parts of China should be taken from April to October, and as for Guangdong, Guangxi, Yunnan, and Hainan provinces, the measures should be strengthened through the whole year.
Starting Page	371
Ending Page	381
Page Count	11
File Format	PDF
ISSN	00036862
Journal	Applied Entomology and Zoology
Volume Number	50
Issue Number	3
e-ISSN	1347605X
Language	English
Publisher	Springer Japan
Publisher Date	2015-05-14
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bactrocera correcta Potential geographic distribution Eclosion rate ArcGIS Plant quarantine Entomology Agriculture Applied Ecology Plant Pathology Zoology Environmental Management
Content Type	Text
Resource Type	Article
Subject	Insect Science

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