Restoring Sustainable Forests on Appalachian Mined Lands for Wood Products, Renewable Energy, Carbon Sequestration, and Other Ecosystem Services Quarterly Report: January-March 2006

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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. In this quarterly report we present data that show the spatial distribution of carbon in mine soils. Soil carbon data from deep soil pits from grassland minelands located in Ohio, Virginia, and West Virginia were analyzed to determine the vertical distribution and variability of soil organic carbon (SOC) down to a 2-m depth. Regression analyses were used to describe and model the … continued below

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Burger, James A.; Galbraith, J.; Fox, T.; Amacher, G.; Sullivan, J. & Zipper, C. May 5, 2006.

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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. In this quarterly report we present data that show the spatial distribution of carbon in mine soils. Soil carbon data from deep soil pits from grassland minelands located in Ohio, Virginia, and West Virginia were analyzed to determine the vertical distribution and variability of soil organic carbon (SOC) down to a 2-m depth. Regression analyses were used to describe and model the distribution by soil depth of C(wt%), BD{sub fines}(g cm{sup -3}), and fines (vol%) in mine soils. The volume of excavated mine soil samples was transformed in terms of costs of digging and sampling, including sample collection and preparation, and C(wt%) analysis, in order to determine the maximum cost-effective depth (MCD) for carbon inventorying on the mined sites analyzed. Based on the horizontal variation of SOC(g m{sup -2}), we determined the sampling intensity required to achieve a desired accuracy of the amount of sequestered SOC(g m{sup -2}) at certain probability levels. The MCD and sampling intensity measurements were used to determine the minimum detectable difference (MDD) of SOC(g m{sup -2}) between two consecutive carbon inventories. We also proposed a method to determine the minimum number of years before a future C inventory event is carried out so that the measured SOC(g m{sup -2}) differences were greater than MDD. We used geostatistical analyses procedures to determine spatial dependence predictability of surface SOC(g m{sup -2}) data on the minelands analyzed. Kriging techniques were used to create surface SOC(g m{sup -2}) maps for the sites in Ohio and West Virginia. The average C sequestration rate in the surface soil layer for the Ohio (age 9) sites was estimated at 124 g C m{sup -2} yr{sup -1}, and it was estimated at 107 g C m{sup -2} yr{sup -1} for the West Virginia sites (age 4). Because of the young age of the Virginia sites, 0.2 and 1 year old, we came to a decision that C sequestration rates would be inappropriate at this stage of their development, as these soils are expected to change with time.

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Thumbnail image of item number 1 in: 'Restoring Sustainable Forests on Appalachian Mined Lands for Wood Products, Renewable Energy, Carbon Sequestration, and Other Ecosystem Services Quarterly Report: January-March 2006'.
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Burger, James A.; Galbraith, J.; Fox, T.; Amacher, G.; Sullivan, J. & Zipper, C. Restoring Sustainable Forests on Appalachian Mined Lands for Wood Products, Renewable Energy, Carbon Sequestration, and Other Ecosystem Services Quarterly Report: January-March 2006, report, May 5, 2006; United States. (https://digital.library.unt.edu/ark:/67531/metadc873402/: accessed January 22, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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