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利用地统计学确定桉树林中切叶蚁巢穴(膜翅目:蚁科)的空间分布和侵染率。

Use of geostatistics to determine the spatial distribution and infestation rate of leaf-cutting ant nests (Hymenoptera: Formicidae) in eucalyptus plantations.

作者信息

Lasmar O, Zanetti R, dos Santos A, Fernandes B V

机构信息

Depto de Entomologia, Univ Federal de Lavras, Lavras, MG, Brasil.

出版信息

Neotrop Entomol. 2012 Aug;41(4):324-32. doi: 10.1007/s13744-012-0040-1. Epub 2012 Jun 26.

Abstract

One of the fundamental steps in pest sampling is the assessment of the population distribution in the field. Several studies have investigated the distribution and appropriate sampling methods for leaf-cutting ants; however, more reliable methods are still required, such as those that use geostatistics. The objective of this study was to determine the spatial distribution and infestation rate of leaf-cutting ant nests in eucalyptus plantations by using geostatistics. The study was carried out in 2008 in two eucalyptus stands in Paraopeba, Minas Gerais, Brazil. All of the nests in the studied area were located and used for the generation of GIS maps, and the spatial pattern of distribution was determined considering the number and size of nests. Each analysis and map was made using the R statistics program and the geoR package. The nest spatial distribution in a savanna area of Minas Gerais was clustered to a certain extent. The models generated allowed the production of kriging maps of areas infested with leaf-cutting ants, where chemical intervention would be necessary, reducing the control costs, impact on humans, and the environment.

摘要

害虫采样的基本步骤之一是评估田间种群分布。已有多项研究调查了切叶蚁的分布及合适的采样方法;然而,仍需要更可靠的方法,比如使用地统计学的方法。本研究的目的是通过地统计学确定桉树林中切叶蚁巢穴的空间分布和侵染率。该研究于2008年在巴西米纳斯吉拉斯州帕拉奥佩巴的两片桉树林中进行。研究区域内的所有巢穴均被定位,并用于生成GIS地图,同时根据巢穴的数量和大小确定分布的空间格局。每项分析和地图制作均使用R统计程序和geoR软件包。米纳斯吉拉斯州一个稀树草原地区的巢穴空间分布在一定程度上呈聚集状。所生成的模型能够制作切叶蚁侵染区域的克里金地图,在这些区域需要进行化学干预,从而降低防治成本、减少对人类和环境的影响。

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