The potential geographical distribution of Bactrocera cucurbitae (Diptera: Tephritidae) in China based on eclosion rate model and ArcGIS

Zhimei Li, Ningbo Wang, Jiajiao Wu, Jay Richard Stauffer, Zhihong Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The melon fruit fly, Bactrocera cucurbitae Coquillett (Diptera: Tephritidae), is one of the important insect pests of fruits and vegetables. In order to monitor and control it effectively, it is necessary to know the potential geographical distribution of this pest. The ER (Eclosion rate) model was constructed from empirical biological data, and analyzed with ArcGIS. Based on the soil temperature and moisture data of Chinese meteorological stations, the potential geographical distribution of B. cucurbitae from January to December in China was predicted. Six categories were used to describe different levels of suitability for B. cucurbitae in China. The potential geographical distribution and suitable levels for every month in China were obtained and showed that almost all locations were suitable from May to September. Further analysis showed that monitoring measures should be taken in Guangdong, Guangxi, Yunnan, and Hainan provinces throughout the year.

Original languageEnglish (US)
Title of host publicationComputer and Computing Technologies in Agriculture VI - 6th IFIP WG 5.14 International Conference, CCTA 2012, Revised Selected Papers
PublisherSpringer New York LLC
Pages334-342
Number of pages9
EditionPART 2
ISBN (Print)9783642361364
DOIs
StatePublished - 2013
Event6th International Conference on Computer and Computing Technologies in Agriculture, CCTA 2012 - Zhangjiajie, China
Duration: Oct 19 2012Oct 21 2012

Publication series

NameIFIP Advances in Information and Communication Technology
NumberPART 2
Volume393 AICT
ISSN (Print)1868-4238

Other

Other6th International Conference on Computer and Computing Technologies in Agriculture, CCTA 2012
Country/TerritoryChina
CityZhangjiajie
Period10/19/1210/21/12

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

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