首页 | 本学科首页   官方微博 | 高级检索  
     


Assessing ant assemblages: pitfall trapping versus nest counting (Hymenoptera, Formicidae)
Authors:B. C. Schlick-Steiner  F. M. Steiner  K. Moder  A. Bruckner  K. Fiedler  E. Christian
Affiliation:(1) Institute of Zoology, Department of Integrative Biology and Biodiversity Research, Boku, University of Natural Resources & Applied Life Sciences Vienna, Gregor-Mendel-Strasse 33, A-1180 Vienna, Austria;(2) Institute of Forest Entomology, Forest Pathology, and Forest Protection, Department of Forest and Soil Sciences, Boku, University of Natural Resources & Applied Life Sciences Vienna, Hasenauer Strasse 38, A-1190 Vienna, Austria;(3) Institute of Mathematics and Applied Statistics, Department of Spatial-, Landscape-, and Infrastructure-Sciences, Boku, University of Natural Resources & Applied Life Sciences Vienna, Gregor-Mendel-Strasse 33, A-1180 Vienna, Austria;(4) Department of Population Ecology, University of Vienna, Althanstrasse 14, A-1090 Vienna, Austria
Abstract:Pitfall trapping and nest counting are the most common census methods for ant assemblages. We examined the concordance between pitfall catches and nest counts on dry grassland. Spearman rank correlations and non-metric multidimensional scaling of the Bray Curtis similarity index revealed moderate concordance between the data collated by the two methods, but overall method-related differences were considerable. The dissimilarity was influenced by the type of land management, but not by trapping period or plot shape. Trapping success depended on nest density, ground vegetation cover and species-specific traits (inhabited stratum, colony size, foraging distance). Even when these factors were taken into account, the convertibility of pitfall trap and nest density values was unsatisfactory: the census method proved to be crucial in designing ant-ecological studies and interpreting literature data. Received 11 November 2005; revised 9 February 2006; accepted 1 March 2006.
Keywords:Community ecology  sampling methods  concordance  rank correlation  Bray Curtis similarity index
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号