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dc.contributor.authorBond, Nick R
dc.contributor.authorKennard, Mark J
dc.date.accessioned2018-03-22T00:25:26Z
dc.date.available2018-03-22T00:25:26Z
dc.date.issued2017
dc.identifier.issn0043-1397
dc.identifier.doi10.1002/2017WR021119
dc.identifier.urihttp://hdl.handle.net/10072/372010
dc.description.abstractHydrologic variability is a fundamental driver of ecological processes and species distribution patterns within river systems, yet the paucity of gauges in many catchments means that streamflow data are often unavailable for ecological survey sites. Filling this data gap is an important challenge in hydroecological research. To address this gap, we first test the ability to spatially extrapolate hydrologic metrics calculated from gauged streamflow data to ungauged sites as a function of stream distance and catchment area. Second, we examine the ability of statistical models to predict flow regime metrics based on climate and catchment physiographic variables. Our assessment focused on Australia's largest catchment, the Murray‐Darling Basin (MDB). We found that hydrologic metrics were predictable only between sites within ∼25 km of one another. Beyond this, correlations between sites declined quickly. We found less than 40% of fish survey sites from a recent basin‐wide monitoring program (n = 777 sites) to fall within this 25 km range, thereby greatly limiting the ability to utilize gauge data for direct spatial transposition of hydrologic metrics to biological survey sites. In contrast, statistical model‐based transposition proved effective in predicting ecologically relevant aspects of the flow regime (including metrics describing central tendency, high‐ and low‐flows intermittency, seasonality, and variability) across the entire gauge network (median R2 ∼ 0.54, range 0.39–0.94). Modeled hydrologic metrics thus offer a useful alternative to empirical data when examining biological survey data from ungauged sites. More widespread use of these statistical tools and modeled metrics could expand our understanding of flow‐ecology relationships. Supporting Information
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherWiley-Blackwell Publishing, Inc.
dc.relation.ispartofpagefrom8781
dc.relation.ispartofpageto8794
dc.relation.ispartofissue11
dc.relation.ispartofjournalWater Resources Research
dc.relation.ispartofvolume53
dc.subject.fieldofresearchEnvironmental Engineering not elsewhere classified
dc.subject.fieldofresearchPhysical Geography and Environmental Geoscience
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchEnvironmental Engineering
dc.subject.fieldofresearchcode090799
dc.subject.fieldofresearchcode0406
dc.subject.fieldofresearchcode0905
dc.subject.fieldofresearchcode0907
dc.titlePrediction of Hydrologic Characteristics for Ungauged Catchments to Support Hydroecological Modeling
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2017 American Geophysical Union. 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.authorKennard, Mark J.
gro.griffith.authorBond, Nick R.


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