• Title of article

    Evaluation of easily measured stand inventory parameters as predictors of PAR transmittance for use in poplar silvopastoral management

  • Author/Authors

    Andrew J. Wall، نويسنده , , Peter D. Kemp، نويسنده , , Alec D. Mackay، نويسنده , , Ian L. Power، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    10
  • From page
    665
  • To page
    674
  • Abstract
    This study compares the ability of several poplar (Populus spp.) stand parameters to predict photosynthetically active radiation (PAR) transmission through the overstorey canopy in a silvopastoral system. As an indirect measure of PAR transmission, diffuse non-intercepted radiation (DIFN) levels underneath fully foliated poplar stands were measured in two climatically contrasting regions of the North Island of New Zealand. The ability of several easily measured stand inventory parameters to predict understorey DIFN was then evaluated using regression analysis. Pasture net herbage accumulation (NHA) was also measured below the fully foliated trees and related to understorey DIFN. A directly inverse relationship between DIFN in the gap between tree crowns and stand canopy closure measured with a standard digital camera was found to be the simplest, most accurate and robust of the stand parameters examined. In comparison, there were site differences in the relationship for this understorey environment for all of the stand parameters based on individual tree metrics. Site differences in the relationship for DIFN directly underneath the tree-crowns were also apparent for both the stand parameters based on individual tree metrics and digital photographs. Inter-site variation in these relationships was attributed to unaccounted differences in stand leaf area. There was a strong straight-line relationship between DIFN and understorey pasture NHA.
  • Keywords
    Canopy closure , DIFN , Silvopastoral systems , PAR transmission , Forest inventories
  • Journal title
    Agriculture Ecosystems and Environment
  • Serial Year
    2010
  • Journal title
    Agriculture Ecosystems and Environment
  • Record number

    1288993