Forest Maturity - Midwestern States, USA

Apr 29, 2023
Dataset was used in a scientifically peer-reviewed publication
Description:

Mature and old-growth forests (MOG) of the conterminous United States collectively support exceptional levels of biodiversity but have declined substantially from logging and development. National-scale proposals to protect 30 and 50% of all lands and waters are useful in assessing MOG conservation targets given the precarious status of these forests. The authors of DellaSala et al. (2022) present the first coast to coast spatially explicit MOG assessment based on three structural development measures—canopy height, canopy cover, and above-ground living biomass to assess relative maturity.


This dataset contains the main project output from "Mature and Old-Growth Forests Contribute to Large-Scale Conservation Targets in the Conterminous USA" DellaSala et al. (2022). This version shows the distribution of forest maturity and stand development using a simplified display, where the ten classes have been collapsed into three categories: Young (classes 1-3); Intermediate (classes 4-6) and Mature (classes 7-9).


Data is included for the states:

  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Minnesota
  • North Dakota
  • South Dakota
  • Michigan
  • Missouri
  • Nebraska
  • Ohio
  • Wisconsin

For more information or to download the national version of this dataset, visit the Mature Forests website: https://www.matureforests.org/home

Data Provided By:
DellaSala et al. (2022)

Post processing by Conservation Biology Institute
Content date:
not specified
Citation:
Dominick A. DellaSala, Brendan Mackey, Patrick Norman, Carly Campbell, Patrick J. Comer, Cyril F. Kormos, Heather Keith and Brendan Rogers (2022) Mature and Old-Growth Forests Contribute to Large-Scale Conservation Targets in the Conterminous USA. Front. For. Glob. Change doi: https://www.frontiersin.org/articles/10.3389/ffgc.2022.979528/full
Spatial Resolution:
30 (Meter)
Contact Organization:
Mature Forests
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Use Constraints:
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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