Maximum stand density index (SDIMAX) represents the carrying capacity of a forest stand based on the relationship between the number of trees and their size. Plot‐level inventory data provided through a collaborative network of federal, state, and private forest management groups were utilized to develop SDIMAXmodels for important Pacific Northwest conifers of western Washington and Oregon, USA. The influence of site‐specific climatic and environmental variables was explored within an ensemble learning model. Future climate projections based on global circulation models under different representative CO2concentration pathways (RCP 4.5 and RCP 8.5) and timeframes (2050s and 2080s) were utilized in a space‐for‐time substitution to understand potential shifts in modeled SDIMAX. A majority of the region showed decreases in carrying capacity under future climate conditions. Modeled mean SDIMAXdecreased 5.4% and 11.4% for Douglas‐fir (
- Award ID(s):
- 1916699
- NSF-PAR ID:
- 10302120
- Date Published:
- Journal Name:
- Canadian Journal of Forest Research
- Volume:
- 51
- Issue:
- 8
- ISSN:
- 0045-5067
- Page Range / eLocation ID:
- 1166 to 1177
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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