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  • Permanent plot data for old-growth white pine - hemlock - hardwood forests in the Huron Mountains, Marquette County, Michigan: 2006-2022
  • Riege, Dennis
    Woods, Kerry D; Director of Research; Huron Mountain Wildlife Foundation
  • 2023-07-27
  • Riege, D. and K.D. Woods. 2023. Permanent plot data for old-growth white pine - hemlock - hardwood forests in the Huron Mountains, Marquette County, Michigan: 2006-2022 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

  • This study was initiated by Dr. Dennis A. Riege with a focus on the role of white pine (Pinus strobus) in old-growth mixed white pine-hemlock-northern hardwood forests. Study areas within the lands of the Huron Mt. Club were selected for prominent presence of canopy white pine. Several permanent study plots, totaling about 3.3 ha, were established, with all trees >5 cm diameter at breast height (dbh) identified, mapped and measured. Initiatl establishment was from 2006-2008. All plots were remeasured in 2011, 2016 and 2021-22. Mortality and new recruits were documented in remeasurements. Reference coordinates for each plot are included in 'Methods'. Data tables in this package include all of these measurements. Additional information, including maps of downed logs, is included in material included under 'other entities'.

  • N: 46.9136      S: 46.8241      E: -87.7878      W: -87.9861
  • 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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