Factors controlling throughfall in a Pinus tabulaeformis forest in North China.

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  • Author(s): Wei X;Wei X;Wei X; Bi H; Bi H; Bi H; Bi H; Bi H; Liang W; Liang W
  • Source:
    Scientific reports [Sci Rep] 2017 Oct 25; Vol. 7 (1), pp. 14060. Date of Electronic Publication: 2017 Oct 25.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep
    • Publication Information:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • Subject Terms:
      Ecosystem* ; Forests* ; Rain*; Pinus/*physiology ; Trees/*physiology; China ; Pinus/growth & development ; Trees/growth & development
    • Abstract:
      The factors that control throughfall in Pinus tabulaeformis plantations were investigated using linear and curve analyses based on direct measurements of rainfall, throughfall and stemflow from 36 rainfall events. The results showed the following: (1) there was significant spatial heterogeneity in throughfall rates in P. tabulaeformis plots; (2) the throughfall rate increased with increasing rainfall; and (3) the rate of increase gradually decreased. When rainfall reached approximately 25 mm, the throughfall rate stabilized. The coefficient of variation of the throughfall rate decreased with increasing rainfall, with a peak at approximately 10 mm of rainfall. The coefficient of variation of throughfall stabilized at 20%, and the coefficient of variation of the throughfall rate stabilized at 17%. A linear regression equation (R 2  = 0.76) was derived by fitting the P. tabulaeformis average diameter at breast height (DBH), average tree height, average branch height, stand density, canopy thickness, canopy density, and the rainfall and throughfall rate. A highly positive correlation was found between the throughfall rate, canopy density, rainfall class and tree height (P < 0.01). By establishing a quadratic response surface model of the stand structure indicators and the throughfall rate, R 2 was increased to 0.85 (P < 0.01). The quadratic regression analysis demonstrated a highly positive correlation between throughfall rate, canopy density and rainfall class.
    • References:
      Ying Yong Sheng Tai Xue Bao. 2008 Sep;19(9):1871-6. (PMID: 19102296)
      PLoS One. 2013;8(2):e49618. (PMID: 23457440)
    • Publication Date:
      Date Created: 20171027 Date Completed: 20190724 Latest Revision: 20240604
    • Publication Date:
      20240604
    • Accession Number:
      PMC5656610
    • Accession Number:
      10.1038/s41598-017-14464-z
    • Accession Number:
      29070837