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Specifying forest sector models for forest carbon projectionsAuthor(s): David N. Wear; John W. Coulston
Source: Journal of Forest Economics
Publication Series: Scientific Journal (JRNL)
Station: Southern Research Station
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DescriptionForest sector models merge models of timber inputs and final wood products markets with biophysical models of forest dynamics to project forest futures. Comprehensive treatment of biophysical dynamics is required to address the product detail of timber markets and to track changes in forest carbon. We examine assumptions for existing Forest Inventory Projection Models and empirically examine the implications for forest carbon projections. We compare model results with observations from remeasured forest inventories in the eastern United States. Results show forest carbon projections are sensitive to non-harvest disturbances, ownership, and stand-origin. Additionally, bias can arise when forest carbon stocks are estimated using correlations between average stock density and biomass aggregates. Current forest inventories provide a dataset of consistently remeasured forest plot records that will increasingly support a strong empirical foundation for Forest Inventory Projection Models.
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CitationWear, David N.; Coulston, John W. 2019. Specifying forest sector models for forest carbon projections. Journal of Forest Economics. 34(1-2): 73-97.
KeywordsForest production, Age transitions, Greenhouse gas, Carbon sequestration, Forest Inventory and Analysis
- Developing Inventory Projection Models Using Empirical Net Forest Growth and Growing-Stock Density Relationships Across U.S. Regions and Species Group
- Projection of U.S. forest sector carbon sequestration under U.S. and global timber market and wood energy consumption scenarios, 2010-2060
- Forest environmental investments and implications for climate change mitigation.
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