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dc.contributor.authorJyväsjärvi, Jussi
dc.contributor.authorAroviita, Jukka
dc.contributor.authorHämäläinen, Heikki
dc.date.accessioned2016-02-03T11:47:33Z
dc.date.available2016-02-03T11:47:33Z
dc.date.issued2014
dc.identifier.citationJyväsjärvi, J., Aroviita, J., & Hämäläinen, H. (2014). An extended Benthic Quality Index for assessment of lake profundal macroinvertebrates: addition of indicator taxa by multivariate ordination and weighted averaging. <i>Freshwater science</i>, <i>33</i>(3), 995-1007. <a href="https://doi.org/10.1086/676914" target="_blank">https://doi.org/10.1086/676914</a>
dc.identifier.otherCONVID_23847151
dc.identifier.otherTUTKAID_62850
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/48601
dc.description.abstractThe chironomid Benthic Quality Index (BQI) is a widely used metric in assessments of lake status. The BQI is based on 7 indicator taxa, which like most profundal fauna, often occur sporadically in low densities. Hence, a major weakness of the index is that it cannot be calculated when indicator taxa are not captured. Thus, an extension of the BQI that incorporates more macroinvertebrate taxa is desirable. We used 2 statistical approaches (Detrended Correspondence Analysis and Weighted Averaging) to estimate new benthic quality indicator scores for profundal macroinvertebrate taxa and to construct modified BQIs called Profundal Invertebrate Community Metrics (PICMs). We calibrated the PICMs and evaluated their bioassessment performance with macroinvertebrate and environmental data from 735 lake basins in Finland. Both PICMs included 70 taxa and could be calculated for a substantially greater proportion (99.5%) of sites than the original BQI (83.5%). Compared to the BQI, the PICMs were more strongly correlated with whole-community variation and were more predictable from environmental factors independent of human activities in undisturbed reference lakes. PICMs were more specific in identifying undisturbed lakes and more sensitive in discriminating nonreference from reference lakes. The strength of relationships to total P concentration was equal among indices. These results suggest that the extension of BQI to incorporate more taxa will increase generality, accuracy, and representativeness of lake profundal macroinvertebrate assessment.
dc.language.isoeng
dc.publisherNorth American Benthological Society
dc.relation.ispartofseriesFreshwater science
dc.subject.otherbenthic invertebrates
dc.subject.otherbioassessment
dc.subject.otherO/E ratio
dc.subject.otherweighted averaging
dc.titleAn extended Benthic Quality Index for assessment of lake profundal macroinvertebrates: addition of indicator taxa by multivariate ordination and weighted averaging
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201602031420
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineAkvaattiset tieteetfi
dc.contributor.oppiaineAquatic Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2016-02-03T10:15:32Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange995-1007
dc.relation.issn2161-9549
dc.relation.numberinseries3
dc.relation.volume33
dc.type.versionpublishedVersion
dc.rights.copyright© 2014 by The Society for Freshwater Science. Published by University of Chicago Press. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoindikaattorilajit
dc.subject.ysojärvet
jyx.subject.urihttp://www.yso.fi/onto/yso/p27568
jyx.subject.urihttp://www.yso.fi/onto/yso/p9374
dc.relation.doi10.1086/676914


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