Tree crown ratio models for multi-species and multi-layered stands of southeastern British Columbia

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Using quadratic mean diameter and relative spacing index to enhance height-diameter and crown ratio models fitted to longitudinal data (2016, methodology): “, 1999) or the logistic function (Hasenauer and Monserud, 1996; Temesgen et al., 2005) which is also a non-linear function.”
Accuracy and equivalence testing of crown ratio models and assessment of their impact on diameter growth and basal area increment predictions of two variants of the Forest Vegetation Simulator (2009, background): “The use of logistic equations is advantageous because predictions are easily constrained to be between 0 and 1, i.e., 0% to 100% CR (Ritchie and Hann 1987; Zumrawi and Hann 1989; Hasenauer and Monserud 1996; Temesgen et al. 2005).”
Forest Growth and Yield Modeling (2011, methodology): “Stand-level variables include crown competition factor (Hatch, 1980; Hasenauer and Monserud, 1996; Temesgen et al., 2005), total basal area (Holdaway, 1986; Ritchie and Hann, 1987; Hanus et al.”