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  • Data from Sand aggradation alters biofilm standing crop and metabolism in a low-gradient Lake Superior tributary
  • Marcarelli , Amy M; Professor; Michigan Technological University
    Huckins, Casey J; Michigan Technological University
    Eggert, Susan L
  • 2023-07-19
  • Marcarelli, A.M., C.J. Huckins, and S.L. Eggert. 2023. Data from Sand aggradation alters biofilm standing crop and metabolism in a low-gradient Lake Superior tributary ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • We conducted a comparative study of biofilm standing crop and metabolism in the Salmon Trout River,

    a tributary of Lake Superior where watershed disturbances have led to 3-fold increases in streambed fine

    sediments, predominately sand, in the past decade. We compared biofilm standing crop and metabolism rates

    using light–dark chambers in reaches where substrate consisted of predominately exposed rock or sand

    substrates. This data archive includes rates of primary production and respiration, biomass measurements from chambers, and benthic standing crop and water chemistry data collected from the same river sites over the course of a summer. All data were published in Journal of Great Lakes research in 2015, https://doi.org/10.1016/j.jglr.2015.09.004

  • N: 46.865058      S: 46.802938      E: -87.784      W: -87.821766
  • edi.1471.1  (Uploaded 2023-07-19)  
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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