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  • Hubbard Brook Nitrogen Oligotrophication (HBNO): Leaf mass per area
  • Fahey, Timothy J; Cornell University
    Cleavitt, Natalie L; Cornell University
  • 2024-01-02
  • Fahey, T.J. and N.L. Cleavitt. 2024. Hubbard Brook Nitrogen Oligotrophication (HBNO): Leaf mass per area ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/a62a4261c79ab2de38bc564828582de9 (Accessed 2024-04-27).

  • This data set encompasses leaf area and dry weights for collected freshly shot leaves (early August) and fallen leaves (entire leaf fall period) along the elevation gradient of 14 sites used for the nitrogen oligotrophication study at Hubbard Brook Experimental Forest. This data will be used to calculate nutrient resorption along the elevation gradient for sugar maple (collection years: 2020-2022) and American beech (2021-2022).

    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: 43.959      S: 43.914      E: -71.7022      W: -71.8062
  • knb-lter-hbr.392.1  (Uploaded 2024-01-02)  
  • 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/a62a4261c79ab2de38bc564828582de9
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