Evaluation of methods for estimating macroinvertebrate species richness using individual stones in tropical streams

dc.creatorMelo, AS
dc.creatorFroehlich, CG
dc.date2001
dc.dateJUN
dc.date2014-11-20T03:16:02Z
dc.date2015-11-26T16:04:19Z
dc.date2014-11-20T03:16:02Z
dc.date2015-11-26T16:04:19Z
dc.date.accessioned2018-03-28T22:53:24Z
dc.date.available2018-03-28T22:53:24Z
dc.identifierFreshwater Biology. Wiley-blackwell, v. 46, n. 6, n. 711, n. 721, 2001.
dc.identifier0046-5070
dc.identifierWOS:000169472900001
dc.identifier10.1046/j.1365-2427.2001.00709.x
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/65855
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/65855
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/65855
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1265451
dc.description1. The most straightforward way to assess diversity in a site is the species count. However, a relatively large sample is needed for a reliable result because of the presence of many rare species in rich assemblages. The use of richness estimation methods is suggested by many authors as a solution for this problem in many cases. 2. We examined the performance of 13 methods for estimating richness of stream macroinvertebrates inhabiting riffles both at local (stream) and regional (catchment) scales. The evaluation was based on (1) the smallest sub-sample size needed to estimate total richness in the sample, (2) constancy of this size, (3) lack of erratic behaviour in curve shape and (4) similarity in curve shape through different data sets. Samples were from three single stream sites (local) and three from several streams within the same catchment basin (regional). All collections were made from protected forest areas in south-east Brazil. 3. All estimation methods were dependent on sub-sample size, producing higher estimates when using larger sub-sample sizes. The Stout and Vandermeer method estimated total richness in the samples with the smallest sub-sample size, but showed some erratic behaviour at small sub-sample sizes, and the estimated curves were not similar among the six samples. The Bootstrap method was the best estimator in relation to constancy of sub-sample sizes, but needed an unacceptably large sub-sample to estimate total richness in the samples. The second order Jackknife method was the second best estimator both for minimum sub-sample size and constancy of this size and we suggest its use in future studies of diversity in tropical streams. Despite the inferior performance of several other methods, some produced acceptable results. Comments are made on the utility of using these estimators for predicting species richness in an area and for comparative purposes in diversity studies.
dc.description46
dc.description6
dc.description711
dc.description721
dc.languageen
dc.publisherWiley-blackwell
dc.publisherMalden
dc.publisherEUA
dc.relationFreshwater Biology
dc.relationFreshw. Biol.
dc.rightsfechado
dc.rightshttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dc.sourceWeb of Science
dc.subjectaccumulation curves
dc.subjectjackknife
dc.subjectmacroinvertebrates
dc.subjectspecies richness
dc.subjecttropical streams
dc.subjectCapture Probabilities Vary
dc.subjectPopulation-size
dc.subjectNonparametric-estimation
dc.subjectAccumulation Functions
dc.subjectDiversity
dc.subjectInvertebrates
dc.subjectExtrapolation
dc.subjectAnimals
dc.subjectForest
dc.subjectNumber
dc.titleEvaluation of methods for estimating macroinvertebrate species richness using individual stones in tropical streams
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución