论文部分内容阅读
目的了解蚊虫与地物特征的对应关系,为利用“3S”技术〔地理信息系统(GIS)、全球定位系统(GPS)、遥感(RS)的统称)〕开展蚊虫预警监测提供参考。方法2010-2011年3-12月调查无锡市建设用地、农村用地、湿地、林地和耕地5种环境类型中的蚊虫群落,并应用3S技术分析每个研究点50、100、150、200、250、300、350、400 m缓冲区内建筑用地、耕地、绿地、湿地、静止水体、牲畜的地物构成,在Canoco 4.53软件中对蚊虫群落与地物特征的对应关系做冗余分析(RDA)。结果蚊虫与环境变量的RDA经蒙特卡罗置换检验,轴ⅠF=42.198,P=0.002,总轴F=17.616,P=0.002,分析结果非常可靠。研究点蚊虫群落与250 m缓冲区内地物特征的典范特征值总和最高,为0.889。向前引入法分析,蚊虫群落与建筑用地、牲畜、耕地、绿地、湿地的相关性差异有统计学意义(P<0.01),与静止水体的相关性无统计学意义(P>0.05)。RDA经二维排序显示,与淡色库蚊显著正相关的地物特征为湿地,与三带喙库蚊、中华按蚊、骚扰阿蚊显著正相关的是牲畜>耕地,与骚扰阿蚊显著正相关的是耕地>牲畜,与白纹伊蚊显著正相关的是建筑用地。结论优势蚊种与地物特征的对应关系显著相关,可以应用3S技术对目标点位的优势蚊种进行预警监测。建筑用地、耕地、牲畜、绿地、湿地与蚊虫群落演替显著相关,是蚊虫防制的重点地物类型。
Objective To understand the correspondence between mosquitoes and features and to provide references for the early warning and monitoring of mosquitoes by using “3S ” technology [Geographic Information System (GIS), Global Positioning System (GPS) and Remote Sensing (RS)]. Methods From March to December 2010, mosquito communities in five environmental types of construction land, rural land, wetland, woodland and cultivated land in Wuxi were investigated and 3S techniques were used to analyze each site 50,100,150,200,250 , 300,350,400 m buffer zone construction land, arable land, green space, wetlands, still waters, livestock composition, in Canoco 4.53 software on the relationship between mosquito communities and features make redundant analysis (RDA) . Results The RDA of mosquito and environmental variables was verified by Monte Carlo test with axis I F = 42.198, P = 0.002, total axis F = 17.616, P = 0.002 and the results were very reliable. The sum of the canonical eigenvalues of the ground object features in the mosquito community and the 250-m buffer zone at the study site was 0.889. The analysis of forward introduction, the correlation between mosquito community and construction land, livestock, arable land, green land and wetland had statistical significance (P <0.01), but there was no significant correlation with resting water (P> 0.05). Two-dimensional RDA rankings showed that the most significant positive correlation between Culex pipiens pallens and Culex pipiens pallens was wetland, which was significantly positively correlated with Culex tritaeniorhynchus, Anopheles sinensis, Related to arable land> livestock, significant positive correlation with Aedes albopictus is for construction land. Conclusion The corresponding relationship between dominant mosquito species and geographical features is significant, and 3S techniques can be used to monitor the predominant mosquito species at the target point. The land for construction, cultivated land, livestock, green space and wetland are significantly related to the succession of mosquito communities, and are the most important types of mosquito control.