EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021

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6/07/2017  |   10:15 AM - 10:30 AM   |  QUANTIFYING THE ROLE OF FLOW-CONNECTION IN STREAM NETWORK CARBON PATTERNS WITH SPATIAL STATISTICAL MODELS   |  306A

QUANTIFYING THE ROLE OF FLOW-CONNECTION IN STREAM NETWORK CARBON PATTERNS WITH SPATIAL STATISTICAL MODELS

Carbon quantity is variable across stream networks as a result of multi-scale processes occurring both in streams and in watersheds. The objectives of this study were to describe type (e.g., patch, gradient) and scale (e.g., patch size) of [DOC] patterns, evaluate which watershed (i.e., aspect, area, elevation, slope, vegetation) and stream (i.e., biofilm, organic matter, physical) predictors created patterns, and quantify the contribution of flow-connection to [DOC] variation in a boreal forest stream network. We included predictors in a statistical model which incorporated spatial autocorrelation due to flow-connection within stream networks. Together with model results, semi-variogram analysis suggested that kilometer-scale patches of varying DOC concentrations were created from spacing of tributaries and contrasting watershed effects on [DOC]. [DOC] was correlated with aspect, and highest concentrations were observed in streams draining north-facing slopes, likely due to flowpaths through organic soil overlying permafrost. Patches created by watershed variation were nested within a gradient of increasing [DOC] with drainage area, thus sources (e.g., production, watershed inputs) to downstream reaches outweighed sinks (e.g., remineralization). Strong autocorrelation among flow-connected sites indicated propagation of watershed and in-stream effects on [DOC] far downstream.

  • C28 Land-Water Interfaces
  • C31 Organic Matter Processing
  • C10 Biogeochemistry

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Presenters/Authors

Tamara Harms (), University of Alaska Fairbanks, tamara.harms@alaska.edu;


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Christina Baker (), University of Alaska Fairbanks, clbaker5@alaska.edu;


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Jeremy Jones (), Univeristy of Alaska Fairbanks, jbjonesjr@alaska.edu;


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