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dc.contributor.authorKirk, Mark A.
dc.contributor.authorWissinger, Scott A.
dc.date.accessioned2019-12-06T16:44:28Z
dc.date.available2019-12-06T16:44:28Z
dc.date.issued2019-09-18
dc.identifier.citationMark A. Kirk and Scott A. Wissinger, "Accounting for non-native Brown Trout in biological assessments: Implications for selecting reference conditions," Freshwater Science 38, no. 4 (December 2019): 790-801. https://doi.org/10.1086/705918en_US
dc.identifier.issn2161-9549
dc.identifier.issn2161-9565
dc.identifier.urihttps://dspace.allegheny.edu/handle/10456/50151
dc.description.abstractThe efficacy of assessments that evaluate biological integrity can be improved by accounting for the ecological processes that influence assemblage composition. Many studies have emphasized that bioassessments need to account for natural environmental gradients, but there is little consensus on how bioassessments should account for the impacts of non-native species. In particular, non-native trout species have been introduced into many high-quality streams that probably meet the expected reference conditions for bioassessment in a given region. The goal of this study was to test whether the presence of large, piscivorous, non-native Brown Trout (Salmo trutta) at reference sites altered interpretations of taxonomic completeness indices (TCIs) based on fish assemblages. We used fish data from 215 sites in wadeable streams in northwestern Pennsylvania to compare the performance of 3 TCIs that used different modeling approaches to account for Brown Trout impacts. One model accounted for the presence of non-native Brown Trout as a covariate (covariate model), another model censored reference sites with non-native Brown Trout from the reference pool (censored model), and a final model used all reference sites without accounting for the presence of Brown Trout (unaccounted model). TCIs based on observed-to-expected ratios were able to distinguish reference conditions from altered conditions in the covariate and censored models. In contrast, the unaccounted index could not distinguish reference from altered conditions and was, thus, unable to accurately assess biological integrity, probably because large Brown Trout reduce native species richness. Our results provide a framework for how bioassessment practitioners can use different approaches to account for non-native species impacts, especially when considering which criteria are most important for defining reference conditions. Accounting for the effects of non-native species with these approaches should improve the ability of bioassessments designed to summarize the interactive effects of all potential human stressors on stream assemblages.en_US
dc.description.sponsorshipSAW received funding from Allegheny College and grants via the National Fish and Wildlife Federation and the Pennsylvania Fish and Boat Commission through the Unassessed Waters Initiative.en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Chicago Pressen_US
dc.relation.ispartofFreshwater Scienceen_US
dc.relation.isversionofhttps://www.journals.uchicago.edu/doi/10.1086/705918en_US
dc.rightsThis work is licensed under a Attribution 4.0 International (CC BY 4.0) License.en_US
dc.subjectreference conditionsen_US
dc.subjectnon-native speciesen_US
dc.subjecttaxonomic completenessen_US
dc.subjectbiological assessmenten_US
dc.subjectbiological integrityen_US
dc.titleAccounting for non-native Brown Trout in biological assessments: Implications for selecting reference conditionsen_US
dc.description.versionPublished articleen_US
dc.contributor.departmentBiologyen_US
dc.contributor.departmentEnvironmental Science / Studiesen_US
dc.description.embargoThis article is available for viewing to the public after September 18, 2020.en_US
dc.citation.volume38en_US
dc.citation.issue4en_US
dc.citation.spage790en_US
dc.citation.epage801en_US
dc.identifier.doi10.1086/705918
dc.contributor.avlauthorWissinger, Scott A.


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