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    Author(s): Brenton J. Dickinson; Brett J. Butler; Michael A. Kilgore; Paul Catanzaro; John Greene; Jaketon H. Hewes; David Kittredge; Mary Tyrrell
    Date: 2012
    Source: In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 20-25.
    Publication Series: Paper (invited, offered, keynote)
    Station: Northern Research Station
    PDF: View PDF  (339.7 KB)

    Description

    Previous research has suggested that heirs to family forest land may sell timber and/or land in order to pay state and/or federal estate taxes, which could result in land use conversion or other adverse ecological impacts. We estimated the number of Minnesota family forest landowners and the associated acreage that could be subject to estate taxes at various exemption levels. Using 2011 Minnesota forest land sale transactional data we calculated the minimum acreage that would trigger the federal estate tax at different hypothetical tax exemption levels and estate compositions (percent of gross estate whose value is comprised of forest land). Using the U.S. Forest Service's National Woodland Owner Survey data for Minnesota and population mortality rates, we estimated the number of family forest ownerships and acres potentially affected under various scenarios.

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    Citation

    Dickinson, Brenton J.; Butler, Brett J.; Kilgore, Michael A.; Catanzaro, Paul; Greene, John; Hewes, Jaketon H.; Kittredge, David; Tyrrell, Mary. 2012. Forest values and the impact of the federal estate tax on family forests. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 20-25.

    Keywords

    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

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https://www.fs.usda.gov/treesearch/pubs/42667