Thresholds of lake and reservoir connectivity in river networks control nitrogen removal
Noah M. Schmadel (),
Judson W. Harvey,
Richard B. Alexander,
Gregory E. Schwarz,
Richard B. Moore,
Ken Eng,
Jesus D. Gomez-Velez,
Elizabeth W. Boyer and
Durelle Scott
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Noah M. Schmadel: U.S. Geological Survey
Judson W. Harvey: U.S. Geological Survey
Richard B. Alexander: U.S. Geological Survey
Gregory E. Schwarz: U.S. Geological Survey
Richard B. Moore: U.S. Geological Survey
Ken Eng: U.S. Geological Survey
Jesus D. Gomez-Velez: Vanderbilt University
Elizabeth W. Boyer: Pennsylvania State University
Durelle Scott: Virginia Polytechnic Institute and State University
Nature Communications, 2018, vol. 9, issue 1, 1-10
Abstract:
Abstract Lakes, reservoirs, and other ponded waters are ubiquitous features of the aquatic landscape, yet their cumulative role in nitrogen removal in large river basins is often unclear. Here we use predictive modeling, together with comprehensive river water quality, land use, and hydrography datasets, to examine and explain the influences of more than 18,000 ponded waters on nitrogen removal through river networks of the Northeastern United States. Thresholds in pond density where ponded waters become important features to regional nitrogen removal are identified and shown to vary according to a ponded waters’ relative size, network position, and degree of connectivity to the river network, which suggests worldwide importance of these new metrics. Consideration of the interacting physical and biological factors, along with thresholds in connectivity, reveal where, why, and how much ponded waters function differently than streams in removing nitrogen, what regional water quality outcomes may result, and in what capacity management strategies could most effectively achieve desired nitrogen loading reduction.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05156-x
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DOI: 10.1038/s41467-018-05156-x
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