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Large Landscape Scale Analysis of Tree Death in the Adirondack Park, New York

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We propose that healthy forests depend on quantitatively predictable tree death as a continuous process linked to forest structure and growth. Quantifying a baseline mortality value by forest structure analysis using the Law of de Liocourt allows estimation of forest health by comparing the observed mortality to a baseline value. This method is applicable to large landscape samples, but not generally to individual forest stands. Observed relative mortality per dbh class from a random sample of the Adirondack Park (New York, USA) forest was slightly, but significantly, less than the baseline relative mortality per dbh class required for maintaining size-distribution stability of the forest. This result suggests a changing structure involving increased forest density, or future mortality increase to maintain the current structure. Differences in structure-mortality relationships among the more abundant species indicate changing composition of the forest. This reflects unhealthy conditions in some species (American beech, yellow birch, balsam fir, and red spruce) that are compensated by enhanced development of others (red maple, sugar maple, and eastern hemlock). For. Sci. 47(4):542–549.

Keywords: A. saccharum; Abies balsamea; Acer rubrum; Betula alleghaniensis; Fagus grandifolia; Picea rubens; Pinus strobus; Tsuga canadensis; environmental management; forest; forest health; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources

Document Type: Miscellaneous

Affiliations: 1: Professor State University of New York, College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY, 13210-2788, Phone: (315) 470-6783; Fax: (315) 470-6936 2: Professor Emeritus State University of New York, College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY, 13210-2788, Phone: (315) 470-6786

Publication date: 2001-11-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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