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dc.contributor.authorBailey, Robert C
dc.contributor.authorLinke, Simon
dc.contributor.authorYates, Adam G
dc.date.accessioned2017-09-15T02:39:13Z
dc.date.available2017-09-15T02:39:13Z
dc.date.issued2014
dc.identifier.issn2161-9549
dc.identifier.doi10.1086/678771
dc.identifier.urihttp://hdl.handle.net/10072/154452
dc.description.abstractAlthough used in many jurisdictions around the world, analytical approaches of the Reference Condition Approach (RCA) to bioassessment of freshwater ecosystems have evolved quite slowly over the past 2 decades. For this special series of papers in Freshwater Science, researchers analyzed 3 data sets that included both benthic macroinvertebrate and environmental data from a number of reference sites. Australian Capital Territory (ACT) reference sites (ntotal = 107) were wadeable streams in the upper Murrumbidgee River catchment, Australian Capital Territory, Australia. Yukon Territory (YT) reference sites were wadeable streams (ntotal = 158) in the Yukon Territory, Canada, part of the Yukon River basin. Great Lakes (GL) sites (ntotal = 164) were all nearshore (<20 m) lentic sites in the North American Great Lakes. For each data set, sites were divided into model-building (training) and model-testing (validation) groups. Each validation site was further subjected to 3 levels of simulated degradation based on the sensitivity of the biota to eutrophication. The analytical approaches ranged from standard or slight modifications of methods used in national programs (Australian River Assessment [AUSRIVAS], Canadian Aquatic Biomonitoring Network [CABIN]), to improved matching of sites to be assessed and appropriate reference sites, and Bayesian and machine-learning modeling. In comparing Type 1 error rates (proportion of validation sites deemed not in reference condition) and power (proportion of simulated impairment sites deemed not in reference condition), we found no obvious pattern among the 3 data sets or approaches. Approaches commonly used in RCA programs would benefit from incorporating newer methods that better match reference and test-site environments and build better predictive models.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherNorth American Benthological Society
dc.publisher.placeCanada
dc.relation.ispartofpagefrom1204
dc.relation.ispartofpageto1211
dc.relation.ispartofissue4
dc.relation.ispartofjournalFreshwater Science
dc.relation.ispartofvolume33
dc.subject.fieldofresearchEcology
dc.subject.fieldofresearchBiogeography and phylogeography
dc.subject.fieldofresearchOther biological sciences
dc.subject.fieldofresearchcode3103
dc.subject.fieldofresearchcode310402
dc.subject.fieldofresearchcode3199
dc.titleBioassessment of freshwater ecosystems using the Reference Condition Approach: comparing established and new methods with common data sets
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2014 North American Benthological Society. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorLinke, Simon


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