Title |
Thresholds of lake and reservoir connectivity in river networks control nitrogen removal
|
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Published in |
Nature Communications, July 2018
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DOI | 10.1038/s41467-018-05156-x |
Pubmed ID | |
Authors |
Noah M. Schmadel, Judson W. Harvey, Richard B. Alexander, Gregory E. Schwarz, Richard B. Moore, Ken Eng, Jesus D. Gomez-Velez, Elizabeth W. Boyer, Durelle Scott |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 26 | 36% |
United Kingdom | 4 | 5% |
Canada | 3 | 4% |
Ecuador | 2 | 3% |
India | 2 | 3% |
Norway | 1 | 1% |
Greece | 1 | 1% |
Switzerland | 1 | 1% |
Venezuela, Bolivarian Republic of | 1 | 1% |
Other | 3 | 4% |
Unknown | 29 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 36 | 49% |
Scientists | 34 | 47% |
Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 139 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 24% |
Researcher | 24 | 17% |
Student > Master | 15 | 11% |
Student > Doctoral Student | 7 | 5% |
Student > Bachelor | 6 | 4% |
Other | 21 | 15% |
Unknown | 32 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 53 | 38% |
Earth and Planetary Sciences | 21 | 15% |
Engineering | 9 | 6% |
Agricultural and Biological Sciences | 6 | 4% |
Economics, Econometrics and Finance | 3 | 2% |
Other | 7 | 5% |
Unknown | 40 | 29% |