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  • Baltimore Ecosystem Study: TreeBaltimore data in support of Anderson et al 2022 [JOURNALMANE]. November 2021 Download
  • Anderson, Elsa; Cary Institute of Ecosystem Studies
    Locke, Dexter H; USDA Forest Service, Baltimore Field Station
    Pickett, Steward TA; Cary Institute of Ecosystem Studies
    LaDeau, Shannon L; Cary Institute of Ecosystem Studies
  • 2022-09-28
  • Anderson, E., D.H. Locke, S.T. Pickett, and S.L. LaDeau. 2022. Baltimore Ecosystem Study: TreeBaltimore data in support of Anderson et al 2022 [JOURNALMANE]. November 2021 Download ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • Tree Baltimore (treebaltimore.org) hired Davey Tree to conduct a census of all publicly owned trees and tree pits in the city of Baltimore. This census was completed by arborists in 2017-2018, documenting over 192,000 trees and potential tree sites that reflect the public component of Baltimore’s urban forest. Entries in this dataset include trees in parkways (street trees), mown areas of public parks (forest patches excluded), meridian trees, and vacant spaces for tree planting. Data is continuously updated and the current vintage can be found at https://baltimore.maps.arcgis.com/apps/webappviewer/index.html?id=d2cfbbe9a24b4d988de127852e6c26c8.

  • N: 39.372558      S: 39.197156      E: -76.52895      W: -76.712095
  • knb-lter-bes.5020.1  (Uploaded 2022-09-28)  
  • 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.
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