Literature DB >> 33746290

Elevation and spatial structure explain most surface-water isotopic variation across five Pacific Coast basins.

L M McGill1, E A Steel2, J R Brooks3, R T Edwards4, A H Fullerton5.   

Abstract

The stable isotope ratios of stream water can be used to trace water sources within river basins; however, drivers of variation in water isotopic spatial patterns across basins must be understood before ecologically relevant and isotopically distinct water sources can be identified and this tool efficiently applied. We measured the isotope ratios of surface-water samples collected during summer low-flow across five basins in Washington and southeast Alaska (Snoqualmie, Green, Skagit, and Wenatchee Rivers, and Cowee Creek) and compared models (isoscapes) describing the spatial variation in surface-water isotope ratios across a range of hydraulic and climatic conditions. We found strong correlations between mean watershed (MWE) elevation and surface-water isotopic ratios on the windward west side of the Cascades and in Alaska, explaining 48-90% of variation in δ18O values. Conversely, in the Wenatchee basin, located leeward of the Cascade Range, MWE alone had no predicative power. The elevation relationship and predictive isoscapes varied between basins, even those adjacent to each other. Applying spatial stream network models (SSNMs) to the Snoqualmie and Wenatchee Rivers, we found incorporating Euclidean and flow-connected spatial autocovariance improved explanatory power. SSNMs improved the accuracy of river water isoscapes in all cases; however, their utility was greater for the Wenatchee basin, where covariates explained only a small proportion of total variation. Our study provides insights into why basinscale surface-water isoscapes may vary even in adjacent basins and the importance of incorporating spatial autocorrelation in isoscapes. For determining source water contributions to downstream waters, our results indicate that surface water isoscapes should be developed for each basin of interest.

Entities:  

Keywords:  Water stable isotopes; isoscapes; river flow; river network; spatial stream network models

Year:  2020        PMID: 33746290      PMCID: PMC7970517          DOI: 10.1016/j.jhydrol.2020.124610

Source DB:  PubMed          Journal:  J Hydrol (Amst)        ISSN: 0022-1694            Impact factor:   5.722


  11 in total

1.  A mixed-model moving-average approach to geostatistical modeling in stream networks.

Authors:  Erin E Peterson; Jay M Ver Hoef
Journal:  Ecology       Date:  2010-03       Impact factor: 5.499

2.  Potential impacts of a warming climate on water availability in snow-dominated regions.

Authors:  T P Barnett; J C Adam; D P Lettenmaier
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

3.  Delineation and evaluation of hydrologic-landscape regions in the United States using geographic information system tools and multivariate statistical analyses.

Authors:  David M Wolock; Thomas C Winter; Gerard McMahon
Journal:  Environ Manage       Date:  2004       Impact factor: 3.266

4.  Methods to quantify variable importance: implications for the analysis of noisy ecological data.

Authors:  Kim Murray; Mary M Conner
Journal:  Ecology       Date:  2009-02       Impact factor: 5.499

5.  Spatial and temporal characterisation of stable isotopes in river water as indicators of groundwater contribution and confirmation of modelling results; a study of the Weser river, Germany.

Authors:  Paul Koeniger; Christian Leibundgut; Willibald Stichler
Journal:  Isotopes Environ Health Stud       Date:  2009-12       Impact factor: 1.675

6.  Linking breeding and wintering grounds of neotropical migrant songbirds using stable hydrogen isotopic analysis of feathers.

Authors:  K A Hobson; Leonard I Wassenaar
Journal:  Oecologia       Date:  1996-12       Impact factor: 3.225

7.  Network analysis reveals multiscale controls on streamwater chemistry.

Authors:  Kevin J McGuire; Christian E Torgersen; Gene E Likens; Donald C Buso; Winsor H Lowe; Scott W Bailey
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

8.  The use of isotope tracers for identifying populations of migratory birds.

Authors:  C P Chamberlain; J D Blum; R T Holmes; Xiahong Feng; T W Sherry; G R Graves
Journal:  Oecologia       Date:  1996-12       Impact factor: 3.225

9.  Deuterium content of snow cores from Sierra Nevada area.

Authors:  I Friedman
Journal:  Science       Date:  1970-07-31       Impact factor: 47.728

10.  The influence of lithology on surface water sources.

Authors:  Lydia B Nickolas; Catalina Segura; J Renée Brooks
Journal:  Hydrol Process       Date:  2017-05-15       Impact factor: 3.565

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  2 in total

1.  Spatiotemporal dynamics of water sources in a mountain river basin inferred through δ2H and δ18O of water.

Authors:  L M McGill; J R Brooks; E A Steel
Journal:  Hydrol Process       Date:  2021-03-11       Impact factor: 3.565

2.  Climate impacts on source contributions and evaporation to flow in the Snake River Basin using surface water isoscapes (δ2H and δ18O).

Authors:  Grace Windler; J Renée Brooks; Henry M Johnson; Randy L Comeleo; Rob Coulombe; Gabriel J Bowen
Journal:  Water Resour Res       Date:  2021-07-01       Impact factor: 6.159

  2 in total

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