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Acorn production prediction models for five common oak species of the eastern United States

Authors

  • Anita K. Rose,

    Corresponding author
    1. United States Department of Agriculture Forest Service, Southern Research Station, 4700 Old Kingston Pike, Knoxville, TN 37919, USA
    • United States Department of Agriculture Forest Service, Southern Research Station, 4700 Old Kingston Pike, Knoxville, TN 37919, USA.
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  • Cathryn H. Greenberg,

    1. United States Department of Agriculture Forest Service, Southern Research Station, Bent Creek Experimental Forest, 1577 Brevard Road, Asheville, NC 28806, USA
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  • Todd M. Fearer

    1. Appalachian Mountains Joint Venture, American Bird Conservancy, 1900 Kraft Drive, Suite 250, Blacksburg, VA 24061, USA
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  • Associate Editor: Bruce Thompson

Abstract

Acorn production varies considerably among oak (Quercus) species, individual trees, years, and locations, which directly affects oak regeneration and populations of wildlife species that depend on acorns for food. Hard mast indices provide a relative ranking and basis for comparison of within- and between-year acorn crop size at a broad scale, but do not provide an estimate of actual acorn yield—the number of acorns that can potentially be produced on a given land area unit based on the species, number, and diameter at breast height (dbh) of oak trees present. We used 10 years of acorn production data from 475 oak trees to develop predictive models of potential average annual hard mast production by five common eastern oak species, based on tree diameter and estimated crown area. We found a weak (R2 = 0.08–0.28) relationship between tree dbh and acorn production per unit crown area for most species. The relationship between tree dbh and acorn production per tree was stronger (R2 = 0.33–0.57). However, this is because larger-dbh trees generally have larger crowns, not because they have a greater capacity to produce more acorns per unit crown area. Acorn production is highly variable among individual trees. We estimated that dbh of at least 60 dominant or codominant oak trees per species should be randomly sampled to obtain an adequate representation of the range of dbhs (≥12.7 cm dbh) in a given forest area, and achieve precise estimates when using these equations to predict potential acorn production. Our predictive models provide a tool for estimating potential acorn production that land managers and forest planners can apply to oak inventory data to tailor estimates of potential average annual acorn production to different forest management scenarios and multiple spatial scales. © 2011 The Wildlife Society.

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