...
首页> 外文期刊>Journal of Medical Entomology >Effectiveness of mosquito traps in measuring species abundance and composition.
【24h】

Effectiveness of mosquito traps in measuring species abundance and composition.

机译:捕蚊器在测量物种丰度和组成方面的有效性。

获取原文
获取原文并翻译 | 示例
           

摘要

Mosquito species abundance and composition estimates provided by trapping devices are commonly used to guide control efforts, but knowledge of trap biases is necessary for accurately interpreting results. We tested the hypothesis that commercially available traps (Mosquito Magnet-Pro, the Mosquito Magnet-X) would be significant improvements over the CDC Miniature Light Trap with respect to abundance, species diversity, and measures of recruitment in a wooded area of the Bronx Zoo in New York City, NY. The Mosquito Magnet-Pro collected significantly more mosquitoes (n = 1,117; mean per night, 124 +/- 28.3) than the CDC Miniature Light Trap (n = 167; mean per night, 19 +/- 5.5). The Simpson's diversity index was greatest for the Mosquito Magnet-Pro. A CDC light trap from a simultaneous surveillance project was located 15 m away and used as a control trap to test for significant differences in mosquito counts on nights with or without the experimental traps. There were no significant differences between nights, indicating the test traps did not recruit beyond 15 m. The traps differed significantly in abundance, but they had similarly limited sampling areas. Measured differences in abundance were independent of differences in diversity. This study highlights how differences between traps might affect species abundance and composition estimates.
机译:捕集设备提供的蚊虫物种丰度和组成估计值通常用于指导控制工作,但是必须准确了解捕集器偏差才能准确解释结果。我们测试了以下假设:在布朗克斯动物园的树木繁茂的区域中,商业陷阱(蚊子Pro,蚊子X)将比CDC微型诱捕器显着改善CDC微型诱捕器。在纽约州纽约市。 Mosquito Magnet-Pro收集的蚊子(n = 1,117;每晚平均124 +/- 28.3)要比CDC微型轻型陷阱(n = 167;每晚平均19 +/- 5.5)更多。辛普森的多样性指数对Mosquito Magnet-Pro来说是最大的。来自同时进行的监视项目的CDC诱集装置位于15 m处,用作控制诱集装置,以测试具有或不具有实验诱集装置的夜间蚊子计数的显着差异。晚上之间没有显着差异,表明测试陷阱没有超过15 m募集。捕集阱的丰度差异很大,但是它们的采样面积也同样有限。测得的丰度差异与多样性差异无关。这项研究强调了陷阱之间的差异如何影响物种的丰度和组成估计。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号