Assessing the Benefits and Economic Feasibility of Stand Improvement for Central Hardwood Forests

Author:

Wang Yangyang1,Ma Wu1,Farlee Lenny D2,Jackson Elizabeth A2,Shao Guofan2,Ochuodho Thomas3,Liang Jingjing1,Zhou Mo1

Affiliation:

1. Lab of Forest Advanced Computing and Artificial Intelligence (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA

2. Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA

3. Department of Forestry and Natural Resources, University of Kentucky, Lexington, KY, USA

Abstract

Abstract Stand improvement (SI) has been widely accepted as an effective forest management tool. Yet most studies on its economic feasibility for nonindustrial private forest (NIPF) landowners are outdated and focus on the single stand level. The objective of this study was to conduct an economic assessment of SI’s effects and feasibility in hardwood stands for a case study in the White River Basin in Indiana. It is shown that SI could make these forests more productive and sustainable than the prevalent “hands-off” practice by enhancing the timber value of the residual stand (TV), generating regular timber income, and to some degree, reversing the decline in oak dominance. On average, a 25% increment in the TV could be achieved. Although costly for some NIPFs, once combined with voluntary financial incentive programs, SI could meet landowners’ demands for low-cost, high-return investment options. In particular, participation in the Environmental Quality Incentive Program could, on average, increase the net present value of timber income from thinning activities by nearly $1,600 per hectare over the course of 30 years. The spatial analysis revealed that there existed considerable spatial heterogeneity in SI benefits and impacts, suggesting that public incentive programs should be spatially targeted to achieve greater efficiency.

Funder

National Institute of Food and Agriculture

Publisher

Oxford University Press (OUP)

Subject

Ecological Modelling,Ecology,Forestry

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