TY - GEN
T1 - The potential geographical distribution of bactrocera dorsalis (Diptera: Tephrididae) in china based on emergence rate model and arcgis
AU - Wang, Ningbo
AU - Li, Zhihong
AU - Wu, Jiajiao
AU - Rajotte, Edwin G.
AU - Wan, Fanghao
AU - Wang, Zhiling
N1 - Publisher Copyright:
© 2009 by International Federation for Information Processing.
PY - 2009
Y1 - 2009
N2 - 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
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
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M3 - Conference contribution
AN - SCOPUS:79955057158
SN - 9781441902085
T3 - IFIP Advances in Information and Communication Technology
SP - 399
EP - 411
BT - Computer and Computing Technologies in Agriculture II - The 2nd IFIP International Conference on Computer and Computing Technologies in Agriculture, CCTA 2008
A2 - Li, Daoliang
A2 - Zhao, Chunjiang
PB - Springer New York LLC
T2 - 2nd IFIP International Conference on Computer and Computing Technologies in Agriculture, CCTA 2008
Y2 - 18 October 2008 through 20 October 2008
ER -