The potential geographical distribution of bactrocera dorsalis (Diptera: Tephrididae) in China based on emergence rate model and ArcGIS

Ningbo Wang, Zhihong Li, Jiajiao Wu, Edwin G. Rajotte, Fanghao Wan, Zhiling Wang

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

5 Citations (Scopus)

Abstract

The oriental fruit fly, Bactrocera dorsalis (Handel) (Dipteral: Tephrididae), is the important insect pest of fruits and vegetables in tropical and subtropical areas. It is necessary to know the potential geographical distribution of this pest in order to monitor and control it effectively. Pupal development takes place in the soil and is regulated by two key factors; soil temperature and moisture. These factors are primary determinants of fruit fly distribution. In this study, the potential geographical distribution of B. dorsalis from Jan. to Dec. in China was predicted based on the soil temperature and moisture data of Chinese meteorologic stations, the ER (Emergence rate) model constructed from empirical biological data, and analysis with ArcGIS. The ER data were obtained by observing the emergence of 7560 cultured pupae using a crossover design of 7 soil temperature grades and 6 soil moisture grades. The ER model (Z = - 0.0036X2 - 0.0001Y2 + 0.1681X + 0.0123Y - 1.5170) was established with stepwise regression method where emergence rate (Z) is a function of soil temperature (X) and soil moisture (Y). According to reported geographical distributions in the world, four categories were used to describe different levels of suitability for B. dorsalis in China, including negligible (0≤ER≤0.01), low (0.01<ER≤0.2), moderate (0.2<ER≤0.45) and high (0.45<ER≤1). The potential geographical distribution and suitable levels for every month in China were obtained and showed that main parts of the distribution were south of ±35°N, and most regions in China had high suitability levels from May to September. Further analysis showed the desireability of strengthening monitoring in the north parts of China from Apr. to Oct. and to institute whole year monitoring in Guangdong, Guangxi, Yunnan, and Hainan provinces.

Original languageEnglish (US)
Title of host publicationComputer and Computing Technologies In Agriculture II, Volume 1
Subtitle of host publicationThe Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing
EditorsDaoliang Li, Chunjiang Zhao
Pages399-411
Number of pages13
DOIs
StatePublished - Dec 1 2009

Publication series

NameIFIP International Federation for Information Processing
Volume293
ISSN (Print)1571-5736

Fingerprint

Soil
China
Geographical distribution
Temperature
Moisture
Monitoring
Factors
Fruit
Pest
Regression method
Stepwise regression
Fruits and vegetables
Crossover
Guangdong

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

Cite this

Wang, N., Li, Z., Wu, J., Rajotte, E. G., Wan, F., & Wang, Z. (2009). The potential geographical distribution of bactrocera dorsalis (Diptera: Tephrididae) in China based on emergence rate model and ArcGIS. In D. Li, & C. Zhao (Eds.), Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing (pp. 399-411). (IFIP International Federation for Information Processing; Vol. 293). https://doi.org/10.1007/978-1-4419-0209-2-42
Wang, Ningbo ; Li, Zhihong ; Wu, Jiajiao ; Rajotte, Edwin G. ; Wan, Fanghao ; Wang, Zhiling. / The potential geographical distribution of bactrocera dorsalis (Diptera : Tephrididae) in China based on emergence rate model and ArcGIS. Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. editor / Daoliang Li ; Chunjiang Zhao. 2009. pp. 399-411 (IFIP International Federation for Information Processing).
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title = "The potential geographical distribution of bactrocera dorsalis (Diptera: Tephrididae) in China based on emergence rate model and ArcGIS",
abstract = "The oriental fruit fly, Bactrocera dorsalis (Handel) (Dipteral: Tephrididae), is the important insect pest of fruits and vegetables in tropical and subtropical areas. It is necessary to know the potential geographical distribution of this pest in order to monitor and control it effectively. Pupal development takes place in the soil and is regulated by two key factors; soil temperature and moisture. These factors are primary determinants of fruit fly distribution. In this study, the potential geographical distribution of B. dorsalis from Jan. to Dec. in China was predicted based on the soil temperature and moisture data of Chinese meteorologic stations, the ER (Emergence rate) model constructed from empirical biological data, and analysis with ArcGIS. The ER data were obtained by observing the emergence of 7560 cultured pupae using a crossover design of 7 soil temperature grades and 6 soil moisture grades. The ER model (Z = - 0.0036X2 - 0.0001Y2 + 0.1681X + 0.0123Y - 1.5170) was established with stepwise regression method where emergence rate (Z) is a function of soil temperature (X) and soil moisture (Y). According to reported geographical distributions in the world, four categories were used to describe different levels of suitability for B. dorsalis in China, including negligible (0≤ER≤0.01), low (0.01<ER≤0.2), moderate (0.2<ER≤0.45) and high (0.45<ER≤1). The potential geographical distribution and suitable levels for every month in China were obtained and showed that main parts of the distribution were south of ±35°N, and most regions in China had high suitability levels from May to September. Further analysis showed the desireability of strengthening monitoring in the north parts of China from Apr. to Oct. and to institute whole year monitoring in Guangdong, Guangxi, Yunnan, and Hainan provinces.",
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Wang, N, Li, Z, Wu, J, Rajotte, EG, Wan, F & Wang, Z 2009, The potential geographical distribution of bactrocera dorsalis (Diptera: Tephrididae) in China based on emergence rate model and ArcGIS. in D Li & C Zhao (eds), Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. IFIP International Federation for Information Processing, vol. 293, pp. 399-411. https://doi.org/10.1007/978-1-4419-0209-2-42

The potential geographical distribution of bactrocera dorsalis (Diptera : Tephrididae) in China based on emergence rate model and ArcGIS. / Wang, Ningbo; Li, Zhihong; Wu, Jiajiao; Rajotte, Edwin G.; Wan, Fanghao; Wang, Zhiling.

Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. ed. / Daoliang Li; Chunjiang Zhao. 2009. p. 399-411 (IFIP International Federation for Information Processing; Vol. 293).

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

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AU - Rajotte, Edwin G.

AU - Wan, Fanghao

AU - Wang, Zhiling

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AB - The oriental fruit fly, Bactrocera dorsalis (Handel) (Dipteral: Tephrididae), is the important insect pest of fruits and vegetables in tropical and subtropical areas. It is necessary to know the potential geographical distribution of this pest in order to monitor and control it effectively. Pupal development takes place in the soil and is regulated by two key factors; soil temperature and moisture. These factors are primary determinants of fruit fly distribution. In this study, the potential geographical distribution of B. dorsalis from Jan. to Dec. in China was predicted based on the soil temperature and moisture data of Chinese meteorologic stations, the ER (Emergence rate) model constructed from empirical biological data, and analysis with ArcGIS. The ER data were obtained by observing the emergence of 7560 cultured pupae using a crossover design of 7 soil temperature grades and 6 soil moisture grades. The ER model (Z = - 0.0036X2 - 0.0001Y2 + 0.1681X + 0.0123Y - 1.5170) was established with stepwise regression method where emergence rate (Z) is a function of soil temperature (X) and soil moisture (Y). According to reported geographical distributions in the world, four categories were used to describe different levels of suitability for B. dorsalis in China, including negligible (0≤ER≤0.01), low (0.01<ER≤0.2), moderate (0.2<ER≤0.45) and high (0.45<ER≤1). The potential geographical distribution and suitable levels for every month in China were obtained and showed that main parts of the distribution were south of ±35°N, and most regions in China had high suitability levels from May to September. Further analysis showed the desireability of strengthening monitoring in the north parts of China from Apr. to Oct. and to institute whole year monitoring in Guangdong, Guangxi, Yunnan, and Hainan provinces.

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Wang N, Li Z, Wu J, Rajotte EG, Wan F, Wang Z. The potential geographical distribution of bactrocera dorsalis (Diptera: Tephrididae) in China based on emergence rate model and ArcGIS. In Li D, Zhao C, editors, Computer and Computing Technologies In Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing. 2009. p. 399-411. (IFIP International Federation for Information Processing). https://doi.org/10.1007/978-1-4419-0209-2-42