The overall purpose of this project is to evaluate the biological and economic feasibility of restoring high-quality forests on mined land, and to measure carbon sequestration and wood production benefits that would be achieved from forest restoration procedures. During the reporting period (October-December 2004) we completed the validation of a forest productivity classification model for mined land. A coefficient of determination (R{sup 2}) of 0.68 confirms the model's ability to predict SI based on a selection of mine soil properties. To determine carbon sequestration under different forest management scenarios, a field study was installed as a 3 x 3 factorial in a random complete block design with three replications at each of three locations, Ohio (Figure 1), West Virginia (Figure 2), and Virginia (Figure 3). The treatments included three forest types (white pine, hybrid poplar, mixed hardwood) and three silvicultural regimes (competition control, competition control plus tillage, competition control plus tillage plus fertilization). For hybrid poplar, total plant biomass differences increased significantly with the intensity of silvicultural input. Root, stem, and foliage biomass also increased with the level of silvicultural intensity. Financial feasibility analyses of reforestation on mined lands previously reclaimed to grassland have been completed for conversion to white pine and mixed hardwood species. Examination of potential policy instruments for promoting financial feasibility also have been completed, including lump sum payments at time of conversion, annual payments through the life of the stand, and payments based on carbon sequestration that provide both minimal profitability and fully offset initial reforestation outlays. We have compiled a database containing mine permit information obtained from permitting agencies in Virginia, West Virginia, Pennsylvania, Ohio, and Kentucky. Due to differences and irregularities in permitting procedures between states, we found it necessary to utilize an alternative method to determine mined land acreages in the Appalachian region. We have initiated a proof of concept study, focused in the State of Ohio, to determine the feasibility of using images from the Landsat Thematic Mapper (TM) and/or Enhanced Thematic Mapper Plus (ETM+) to accurately identify mined lands.
