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dc.contributor.authorStewart-Koster, Ben
dc.contributor.authorD. Olden, Julian
dc.contributor.authorB. Gido, Keith
dc.date.accessioned2017-06-21T12:30:58Z
dc.date.available2017-06-21T12:30:58Z
dc.date.issued2014
dc.identifier.issn02626667
dc.identifier.doi10.1080/02626667.2013.860231
dc.identifier.urihttp://hdl.handle.net/10072/64987
dc.description.abstractHydrologic metrics have been used widely to quantify flow-ecology relationships; however, there are several challenges associated with their use, including the selection from a large number of available metrics and the limitation that metrics are a synthetic measure of a multi-dimensional flow regime. Using two case studies of fish species density and community composition, we illustrate the use of functional linear models to provide new insights into flow-ecology relationships and predict the expected impact of environmental flow scenarios, without relying on hydrologic metrics. The models identified statistically significant relationships to river flow over the 12 months prior to sampling (r2 range 36-67%) and an environmental flow scenario that may enhance native species' densities while controlling a non-native species. Hydrologic metrics continue to play an important role in ecohydrology and environmental flow management; however, functional linear models provide an approach that overcomes some of the limitations associated with their use.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent681741 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherTaylor & Francis
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom629
dc.relation.ispartofpageto644
dc.relation.ispartofissue3-4
dc.relation.ispartofjournalHydrological Sciences Journal
dc.relation.ispartofvolume59
dc.rights.retentionY
dc.subject.fieldofresearchPhysical geography and environmental geoscience
dc.subject.fieldofresearchPhysical geography and environmental geoscience not elsewhere classified
dc.subject.fieldofresearchCivil engineering
dc.subject.fieldofresearchEnvironmental engineering
dc.subject.fieldofresearchcode3709
dc.subject.fieldofresearchcode370999
dc.subject.fieldofresearchcode4005
dc.subject.fieldofresearchcode4011
dc.titleQuantifying flow-ecology relationships with functional linear models
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Environment
gro.rights.copyright© 2014 Taylor & Francis. This is an electronic version of an article published in Hydrological Sciences Journal, Volume 59, Issue 3-4, pages 629-644, 2014. Hydrological Sciences Journal is available online at: http://www.tandfonline.com with the open URL of your article.
gro.date.issued2015-08-06T00:13:47Z
gro.hasfulltextFull Text
gro.griffith.authorStewart-Koster, Ben D.


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