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    Author(s): Patrick A. Fekety; Nicholas L. Crookston; Andrew T. Hudak; Steven K. Filippelli; Jody C. Vogeler; Michael J. Falkowski
    Date: 2020
    Source: Carbon Balance and Management. 15: 5.
    Publication Series: Scientific Journal (JRNL)
    Station: Rocky Mountain Research Station
    PDF: Download Publication  (3.0 MB)

    Description

    Forests are an important component of the global carbon balance, and climate sensitive growth and yield models are an essential tool when predicting future forest conditions. In this study, we used the dynamic climate capability of the Forest Vegetation Simulator (FVS) to simulate future (100 year) forest conditions on four National Forests in the northwestern USA: Payette National Forest (NF), Ochoco NF, Gifford Pinchot NF, and Siuslaw NF. Using Forest Inventory and Analysis field plots, aboveground carbon estimates and species compositions were simulated with Climate-FVS for the period between 2016 and 2116 under a no climate change scenario and a future climate scenario. We included a sensitivity analysis that varied calculated disturbance probabilities and the dClim rule, which is one method used by Climate-FVS to introduce climate-related mortality. The dClim rule initiates mortality when the predicted climate change at a site is greater than the change in climate associated with a predetermined shift in elevation.

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    Citation

    Fekety, Patrick A.; Crookston, Nicholas L.; Hudak, Andrew T.; Filippelli, Steven K.; Vogeler, Jody C.; Falkowski, Michael J. 2020. Hundred year projected carbon loads and species compositions for four National Forests in the northwestern USA. Carbon Balance and Management. 15: 5.

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    Keywords

    climate-FVS, climate change, dClim rule, forest carbon planning, Forest Inventory and Analysis (FIA), Forest Vegetation Simulator (FVS), modeling

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https://www.fs.usda.gov/treesearch/pubs/60052