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Title: The metabolic regimes of 356 rivers in the United States

Abstract

A national-scale quantification of metabolic energy flow in streams and rivers can improve understanding of the temporal dynamics of in-stream activity, links between energy cycling and ecosystem services, and the effects of human activities on aquatic metabolism. The two dominant terms in aquatic metabolism, gross primary production (GPP) and aerobic respiration (ER), have recently become practical to estimate for many sites due to improved modeling approaches and the availability of requisite model inputs in public datasets. We assembled inputs from the U.S. Geological Survey and National Aeronautics and Space Administration for October 2007 to January 2017. We then ran models to estimate daily GPP, ER, and the gas exchange rate coefficient for 356 streams and rivers across the continental United States. We also gathered potential explanatory variables and spatial information for cross-referencing this dataset with other datasets of watershed characteristics. Furthermore, this dataset offers a first national assessment of many-day time series of metabolic rates for up to 9 years per site, with a total of 490,907 site-days of estimates.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3];  [4];  [5]; ORCiD logo [6];  [7];  [8];  [5]; ORCiD logo [9];  [10];  [11]
  1. U.S. Geological Survey, University Park, PA (United States)
  2. U.S. Geological Survey, Middleton, WI (United States)
  3. Rensselaer Polytechnic Inst., Troy, NY (United States)
  4. Univ. of Montana, Polson, MT (United States); Univ. of the Basque Country, Bilbao (Spain)
  5. Duke Univ., Durham, NC (United States)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  7. Univ. of the Basque Country, Bilbao (Spain)
  8. U.S. Geological Survey, Reston, VA (United States)
  9. Univ. of Wisconsin, Madison, WI (United States)
  10. U.S. Geological Survey, Boulder, CO (United States)
  11. U.S. Geological Survey, Flagstaff, AZ (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1488694
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Data
Additional Journal Information:
Journal Volume: 5; Journal Issue: NA; Journal ID: ISSN 2052-4463
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Appling, Alison P., Read, Jordan S., Winslow, Luke A., Arroita, Maite, Bernhardt, Emily S., Griffiths, Natalie A., Hall, Jr., Robert O., Harvey, Judson W., Heffernan, James B., Stanley, Emily H., Stets, Edward G., and Yackulic, Charles B. The metabolic regimes of 356 rivers in the United States. United States: N. p., 2018. Web. https://doi.org/10.1038/sdata.2018.292.
Appling, Alison P., Read, Jordan S., Winslow, Luke A., Arroita, Maite, Bernhardt, Emily S., Griffiths, Natalie A., Hall, Jr., Robert O., Harvey, Judson W., Heffernan, James B., Stanley, Emily H., Stets, Edward G., & Yackulic, Charles B. The metabolic regimes of 356 rivers in the United States. United States. https://doi.org/10.1038/sdata.2018.292
Appling, Alison P., Read, Jordan S., Winslow, Luke A., Arroita, Maite, Bernhardt, Emily S., Griffiths, Natalie A., Hall, Jr., Robert O., Harvey, Judson W., Heffernan, James B., Stanley, Emily H., Stets, Edward G., and Yackulic, Charles B. Tue . "The metabolic regimes of 356 rivers in the United States". United States. https://doi.org/10.1038/sdata.2018.292. https://www.osti.gov/servlets/purl/1488694.
@article{osti_1488694,
title = {The metabolic regimes of 356 rivers in the United States},
author = {Appling, Alison P. and Read, Jordan S. and Winslow, Luke A. and Arroita, Maite and Bernhardt, Emily S. and Griffiths, Natalie A. and Hall, Jr., Robert O. and Harvey, Judson W. and Heffernan, James B. and Stanley, Emily H. and Stets, Edward G. and Yackulic, Charles B.},
abstractNote = {A national-scale quantification of metabolic energy flow in streams and rivers can improve understanding of the temporal dynamics of in-stream activity, links between energy cycling and ecosystem services, and the effects of human activities on aquatic metabolism. The two dominant terms in aquatic metabolism, gross primary production (GPP) and aerobic respiration (ER), have recently become practical to estimate for many sites due to improved modeling approaches and the availability of requisite model inputs in public datasets. We assembled inputs from the U.S. Geological Survey and National Aeronautics and Space Administration for October 2007 to January 2017. We then ran models to estimate daily GPP, ER, and the gas exchange rate coefficient for 356 streams and rivers across the continental United States. We also gathered potential explanatory variables and spatial information for cross-referencing this dataset with other datasets of watershed characteristics. Furthermore, this dataset offers a first national assessment of many-day time series of metabolic rates for up to 9 years per site, with a total of 490,907 site-days of estimates.},
doi = {10.1038/sdata.2018.292},
journal = {Scientific Data},
number = NA,
volume = 5,
place = {United States},
year = {2018},
month = {12}
}

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Cited by: 7 works
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Figures / Tables:

Figure 1. Figure 1.: Inputs and workflow to generate metabolism estimates and supporting datasets. Inputs are either exogenous (dark orange plaque shapes) or encapsulate the authors’ configuration decisions (gray trapezoids). Data processing steps leverage several R packages and other tools (blue rounded rectangles); specifics of these steps are documented in the text.more » Data products included in this release (yellow rectangles) are organized into 8 final items (superscripts, corresponding to IDs in Table 1).« less

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