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目的研究北京市房山区水灾后现场蝇类密度空间分布特征及其相关的环境因素,为灾后蝇类防控提供技术支持。方法应用空间统计方法对乡镇与村庄尺度上蝇类密度的空间聚集性进行检测,并应用空间误差回归方法研究两级尺度上蝇类孳生密度相关的环境因素。结果研究表明,房山区水灾后蝇类密度在乡镇(Morans I=0.381,P=0.039)与村庄(Morans I=0.387,P=0.016)两级尺度的空间聚集差异有统计学意义,蝇密度在水灾后现场的空间分布并不是随机过程。另外,空间误差回归分析表明,乡镇与村庄两级尺度上与蝇类密度相关的环境因素并不相同,灯光指数与村庄和乡镇两级尺度上的蝇密度均呈正相关(相关系数为0.514和1.472),而坡度值与村庄尺度上蝇密度呈负相关(相关系数为-2.398)。结论研究结果不仅阐明了房山地区水灾后不同地理尺度上蝇类的空间分布规律,也可为房山区或类似地区灾后蝇类防控工作提供有针对性的指导。
Objective To study the spatial distribution characteristics of flies in Fangshan District, Beijing and its related environmental factors, and provide technical support for the prevention and control of flies after the disaster. Methods Spatial statistical methods were used to detect the spatial clustering of flies in towns and villages and spatial error regression was used to study the environmental factors related to the density of flies breeding on two scales. Results The results showed that there was significant difference in the spatial distribution of flies after flooding in two scales of townships (Morans I = 0.381, P = 0.039) and villages (Morans I = 0.387, P = 0.016) The spatial distribution of the scene after a flood is not a random process. In addition, spatial error regression analysis showed that the environmental factors related to flies\' density at township and village scales were not the same, and the light index was positively correlated with the flies density at both the village and township levels (correlation coefficients 0.514 and 1.472 ), While the slope value was negatively correlated with the density of flies on the village scale (correlation coefficient -2.398). Conclusion The results not only clarify the spatial distribution of flies in different geographic scales in Fangshan area, but also provide guidance for the prevention and control of flies in Fangshan area or similar areas.