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dc.contributor.authorBunn, Stuarten_US
dc.contributor.authorD. Harch, Bronwynen_US
dc.contributor.authorDavies, Peter M.en_US
dc.contributor.authorFellows, Christyen_US
dc.contributor.authorUdy, Jamesen_US
dc.date.accessioned2017-04-04T16:04:43Z
dc.date.available2017-04-04T16:04:43Z
dc.date.issued2006en_US
dc.date.modified2010-08-26T07:38:22Z
dc.identifier.issn00188158en_US
dc.identifier.doi10.1007/s10750-005-9001-6en_AU
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent233211 bytes
dc.format.extent65367 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeDordrecht, Netherlandsen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom71en_US
dc.relation.ispartofpageto87en_US
dc.relation.ispartofjournalHydrobiologiaen_US
dc.relation.ispartofvolume572en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode270701en_US
dc.titleBenthic metabolism as an indicator of stream ecosystem healthen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Environmenten_US
gro.rights.copyrightCopyright 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.comen_AU
gro.date.issued2006
gro.hasfulltextFull Text


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