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dc.creatorMilošević, Đurađ
dc.creatorStojković Piperac, Milica
dc.creatorPetrović, Ana
dc.creatorČerba, Dubravka
dc.creatorMančev, Dejan
dc.creatorPaunović, Momir
dc.creatorSimić, Vladica
dc.date.accessioned2017-11-23T11:26:38Z
dc.date.available2017-11-23T11:26:38Z
dc.date.issued2017
dc.identifier.issn1470-160X
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1470160X17305010
dc.identifier.urihttp://linkinghub.elsevier.com/retrieve/pii/S1470160X17305010
dc.identifier.urihttps://radar.ibiss.bg.ac.rs/handle/123456789/2897
dc.description.abstractCommunity concordance within aquatic biota could provide useful information for improving the methods used in bioassessment and biodiversity conservation management. The main goal of the study was to investigate the mechanism of community concordance between macroinvertebrates and fish in a single river basin (South Morava river Basin, Serbia). In order to achieve this, a Self organizing map (SOM) ordinated and classified sampling sites based on the community structures of five different taxa groups (macroinveretbrates (MIB), fish (FSH), Chironomidae (CHI), Macroinvertebrates without Chironomidae (MWC) and the Ephemeroptera Plecoptera Trichioptera group (EPT)). SOM also revealed 6 environmental gradients along the groups tested that significantly changed their community structures. Using the results of the SOM analysis as the input, the Mantel test quantified the highest community concordance between FSH and MIB (r = 0.42) followed by FSH and CHI (r = 0.29). The lowest concordance was recorded between FSH and EPT (r = 0.14). The indicator species analysis (IndVal) revealed 39 species to be responsible for the community patterns obtained. The Geo-SOM visualized the spatial distribution of the IndVal taxa, revealing the generators of community concordance. The strength of community concordance depends on the variability of the data on the aquatic biota. Thus, having an appropriate sampling and statistical design as well as high taxonomic resolution, as some of the factors which increase the variability in the data set, could present community concordance between fish and macroinvertebrates in an unbiased way.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/43002/RS//
dc.rightsrestrictedAccess
dc.sourceEcological Indicators
dc.subjectCommunity
dc.subjectBioassessment
dc.subjectSOM method
dc.subjectLotic systems
dc.titleCommunity concordance in lotic ecosystems: How to establish unbiased congruence between macroinvertebrate and fish communitiesen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractСтојковић Пиперац, Милица; Пауновић, Момир; Черба, Дубравка; Манчев, Дејан; Симић, Владица; Петровић, Aна; Милошевић, Ђурађ;
dc.rights.holder© 2017 Elsevier Ltd.
dc.citation.volume83
dc.identifier.doi10.1016/j.ecolind.2017.08.024
dc.identifier.scopus2-s2.0-85028311626
dc.identifier.wos000417551800045
dc.citation.apaMilošević, D., Stojković Piperac, M., Petrović, A., Čerba, D., Mančev, D., Paunović, M., & Simić, V. (2017). Community concordance in lotic ecosystems: How to establish unbiased congruence between macroinvertebrate and fish communities. Ecological Indicators, 83, 474–481.
dc.citation.vancouverMilošević D, Stojković Piperac M, Petrović A, Čerba D, Mančev D, Paunović M, Simić V. Community concordance in lotic ecosystems: How to establish unbiased congruence between macroinvertebrate and fish communities. Ecol Indic. 2017;83:474–81.
dc.citation.spage474
dc.citation.epage481
dc.type.versionpublishedVersionen
dc.citation.rankM21


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