Data Package Summary    View Full Metadata

  • Throughfall water volume and chemistry from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest
  • Rustad, Lindsey; USDA Forest Service, Northern Research Station
    Campbell, John; USDA Forest Service, Northern Research Station
    Driscoll, Charles; Syracuse University
  • 2020-06-25
  • Rustad, L., J. Campbell, and C. Driscoll. 2020. Throughfall water volume and chemistry from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/156341bcc10b6a96dcfacf8c11d35be0 (Accessed 2024-04-25).
  • An ice storm simulation was performed at the Hubbard Brook Experimental Forest to evaluate impacts of these extreme weather events on northern hardwood forests. Water was pumped from the main branch of Hubbard Brook and sprayed above the forest canopy in subfreezing conditions so that it rained down and froze on contact with trees. The experiment included five ice storm intensities (0, 6.4, 12.7 and 19.1 mm radial ice accretion) applied in a single year, and one ice storm intensity (12.7 mm) applied in two consecutive years. The volume and chemistry of throughfall was quantified and fluxes of major elements were calculated.

    These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

  • N: 43.9362      S: 43.935      E: -71.7557      W: -71.7592
  • knb-lter-hbr.255.1  (Uploaded 2020-06-26)  
  • 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.
  • https://doi.org/10.6073/pasta/156341bcc10b6a96dcfacf8c11d35be0
  • Analyze this data package using:           
EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo