Detection of severe storm signatures in loblolly pine using seven-year periodic standardized averages and standard deviations

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  • Authors: Douglas, Stevenson; Hennessey, Thomas; Lynch, Thomas; Caterina, Giulia; Mota, Rodolfo; Heineman, Robert; Holeman, Randal; Wilson, Dennis; Anderson, Keith
  • Publication Year: 2016
  • Publication Series: Proceedings - Paper (PR-P)
  • Source: In:Proceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 614 p.

Abstract

A loblolly pine plantation near Eagletown, Oklahoma was used to test standardized tree ring widths in detecting snow and ice storms. Widths of two rings immediately following suspected storms were standardized against widths of seven rings following the storm (Stan1 and Stan2). Values of Stan1 less than -0.900 predict a severe (usually ice) storm when Stan 2 is less than -0.290. Values of Stan1 between 0.000 and -0.900 and Stan2 between 0.000 and -0.290 indicate a mild (usually snow) storm.

  • Citation: Douglas, Stevenson; Hennessey, Thomas; Lynch, Thomas; Caterina, Giulia; Mota, Rodolfo; Heineman, Robert; Holeman, Randal; Wilson, Dennis; Anderson, Keith 2016. Detection of severe storm signatures in loblolly pine using seven-year periodic standardized averages and standard deviations. In:Proceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 2 p.
  • Posted Date: April 28, 2016
  • Modified Date: April 28, 2016

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