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dc.contributor.authorFellows, Christine S
dc.contributor.authorClapcott, Joanne E
dc.contributor.authorUdy, James W
dc.contributor.authorBunn, Stuart E
dc.contributor.authorHarch, Bronwyn D
dc.contributor.authorSmith, Michael J
dc.contributor.authorDavies, Peter M
dc.date.accessioned2017-05-03T12:21:34Z
dc.date.available2017-05-03T12:21:34Z
dc.date.issued2006
dc.date.modified2010-08-26T07:38:22Z
dc.identifier.issn0018-8158
dc.identifier.doi10.1007/s10750-005-9001-6
dc.identifier.urihttp://hdl.handle.net/10072/14479
dc.description.abstractWe tested direct and indirect measures of benthic metabolism as indicators of stream ecosystem health across a known agricultural land-use disturbance gradient in southeast Queensland, Australia. Gross primary production (GPP) and respiration (R-24) in benthic chambers in cobble and sediment habitats, algal biomass (as chlorophyll a) from cobbles and sediment cores, algal biomass accrual on artificial substrates and stable carbon isotope ratios of aquatic plants and benthic sediments were measured at 53 stream sites, ranging from undisturbed subtropical rainforest to catchments where improved pasture and intensive cropping are major land-uses. Rates of benthic GPP and R-24 varied by more than two orders of magnitude across the study gradient. Generalised linear regression modelling explained 80% or more of the variation in these two indicators when sediment and cobble substrate dominated sites were considered separately, and both catchment and reach scale descriptors of the disturbance gradient were important in explaining this variation. Model fits were poor for net daily benthic metabolism (NDM) and production to respiration ratio (P/R). Algal biomass accrual on artificial substrate and stable carbon isotope ratios of aquatic plants and benthic sediment were the best of the indirect indicators, with regression model R-2 values of 50% or greater. Model fits were poor for algal biomass on natural substrates for cobble sites and all sites. None of these indirect measures of benthic metabolism was a good surrogate for measured GPP. Direct measures of benthic metabolism, GPP and R-24, and several indirect measures were good indicators of stream ecosystem health and are recommended in assessing process-related responses to riparian and catchment land use change and the success of ecosystem rehabilitation actions.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent233211 bytes
dc.format.extent65367 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeDordrecht, Netherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom71
dc.relation.ispartofpageto87
dc.relation.ispartofjournalHydrobiologia
dc.relation.ispartofvolume572
dc.rights.retentionY
dc.subject.fieldofresearchEarth sciences
dc.subject.fieldofresearchEnvironmental sciences
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchcode37
dc.subject.fieldofresearchcode41
dc.subject.fieldofresearchcode31
dc.titleBenthic metabolism as an indicator of stream ecosystem health
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Environment
gro.rights.copyright© 2006 Springer. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorBunn, Stuart E.


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