Mixed multi-scalar methods to assess wood biomass availability on family forests in Virginia's Southside

M. D. Brinckman; J. F. Munsell

Treesearch

Mixed multi-scalar methods to assess wood biomass availability on family forests in Virginia's Southside

Informally Refereed

Authors:

M. D. Brinckman, J. F. Munsell

Year:

2009

Type:

Proceedings

Station:

Rocky Mountain Research Station

Source:

In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 11 p.

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Abstract

Interest in wood-based bio-energy production systems is increasing. Multiscalar, mixed-method approaches focusing on both biophysical and social aspects of procurable feedstock are needed. Family forests will likely play an important role in supplying forest-based biomass. However, access depends in large part on the management trends among family forest owners. This paper outlines proposed research to estimate feedstock availability in Virginia's Southside using United States Forest Service Forest Inventory Analysis data, cluster modeling, silviculture guidelines, property-level samples, and landowner management intentions. Aims are to contrast property-level volumes as mediated by owner intentions with values derived using a landscape level analysis.

Parent Publication

Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT

Keywords

bio-energy, Forest Inventory Analysis, Theory of Planned Behavior, wood biomass, ethanol, family forests, disproportionality, silviculture

Citation

Brinckman, M. D.; Munsell, J. F. 2009. Mixed multi-scalar methods to assess wood biomass availability on family forests in Virginia's Southside. In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 11 p.