Cover page of the report,

Predictors of Family Forest Harvest Behavior in the Northeastern United States


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.

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