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Predictors of Family Forest Harvest Behavior in the Northeastern United States

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Michigan State University, Forest Carbon and Climate Program (FCCP) has conducted plot-level statistical analysis with the following objectives:

1) Identifying covariates that best predict harvest likelihood (HL) and harvest intensity (HI) on non-industrial private forestland in Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, and Vermont for four forest type groups (FTGs) of interest (Maple/ Beech/ Birch [MBB], Oak/ Hickory [OH], Spruce/ Fir [SF], and White/ Red/ Jack Pine [Pine])

2) Identifying appropriate subregions for analysis and FFCP donor pool selection (i.e., subregions where distinct forest management behaviors exist);

3) Identifying tiers of plot-level carbon potential (i.e., predicted harvest intensity) according to key indicators (e.g., levels of merchantable volume, percent stocking, etc.) to inform FFCP participation requirements or funding tiers (cap impact analysis); and

4) Assessing the impact of selected caps on available donor plots by FTG and ecoregion (cap feasibility testing).

This report details the processes and results of those analyses.

Click here for project information.

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