Environmental Data Initiative logo
EDI Data Portal

Data Package Summary    View Full Metadata

  • Hubbard Brook Experimental Forest: Ice Storm Experiment (ISE) Canopy Hemispherical Photos
  • Campbell, John L; USDA Forest Service, Northern Research Station
    Rustad, Lindsey E; USDA Forest Service, Northern Research Station
    Fahey, Robert T; University of Connecticut
    Driscoll, Charles T; Syracuse University
  • 2022-07-07
  • Campbell, J.L., L.E. Rustad, R.T. Fahey, and C.T. Driscoll. 2022. Hubbard Brook Experimental Forest: Ice Storm Experiment (ISE) Canopy Hemispherical Photos ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/aa1ec68480b0d83a0abe4b3552f28f77 (Accessed 2024-04-16).

  • Abstract

    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 consisted of five treatments, including a control (no ice) and three target levels of radial ice accretion: low (6.4 mm), mid (12.7 mm), and high (19.0 mm). Two of the mid-level treatment plots (midx2) were iced in back-to-back years to evaluate impacts of consecutive storms. This dataset consists of hemispherical photographs of the forest canopy with leaves on and off the trees before and after the various ice treatments.

    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.352.1  (Uploaded 2022-07-07)  
  • 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/aa1ec68480b0d83a0abe4b3552f28f77
  • Analyze this data package using:           
Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo