Objective This study was intended to elucidate the spatial distribution characteristics of fly density, find correlated environmental factors, and respond to the need of fly control in disaster fields. Methods Respectively, in the study, the spatial statistical analysis was used to detect the spatial aggregation of fly population on the scales of village and town. Furthermore, spatial error regression was performed to uncover the correlated environmental factors with fly density on the same two geographic scales. Results The spatial aggregation of fly population displayed statistical significance in flooding sites on the level of village(Moran's I=0.387, P=0.016)and town(Moran's I=0.381, P=0.039), which means that such spatial pattern was not original from random process. Accordingly, as the spatial regression shown, the fly density correlated with different environmental factor on the scales of village and town; The lighting index values was related to village(Correlation Coefficient=0.514)and town(Correlation Coefficient=1.472)scales, while the slop values related only to the village scales(Correlation Coefficient=-2.398). Conclusion Present paper not only shed light on the fly spatial distribution pattern in flooding area in Fangshan, but also could provide direction for the fly control for any disaster sites being similar to flooding region in Fangshan.
WANG Guang-wen, LIU Zhao-hui, ZHANG Jin-lei, LIU Mei-de, ZHANG Yong, TONG Ying, ZENG Xiao-peng, ZHOU Xiao-jie, LI Qiu-hong, QIAN Kun
. Spatial error statistical analysis on the fly density at the scale of village and town after flooding in Fangshan district, Beijing[J]. Chinese Journal of Vector Biology and Control, 2017
, 28(5)
: 433
-436
.
DOI: 10.11853/j.issn.1003.8280.2017.05.005
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