A longitudinal height-diameter model for Norway spruce in Finland

By Lauri Mehtätalo. 2004

104 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1951ee0f09c90bf164cab2d18cf78ffea1f6d5d6

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In Global and Planetary Change

In Mechanical Engineering

In Nature and Landscape Conservation

Citations in the corpus

A spatially explicit height–diameter model for Scots pine in Estonia (2011, methodology): “If mixed model approaches are applied, models are often linearized (Lappi 1997; Mehtätalo 2004; Kinnunen et al. 2007) as linear mixedmodel instead of nonlinearmixed model theory could be used.”
Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach (2007, methodology): “The most common models used in forestry are Chapman–Richards (Chapman, 1961; Richards, 1959), Weibull (Yang et al., 1978), Schnute (Schnute, 1981), exponential (Ratkowsky, 1990), logistic (Ratkowsky and Reedy, 1986), and Korf (Stage, 1963; Zeide, 1989; Mehtatalo, 2004).”
Regional mixed-effects height–diameter models for loblolly pine (Pinus taeda L.) plantations (2007, methodology): “For instance, linear mixed-models were used by Lappi (1991) for Scots pine (Pinus sylvestris L.), Jayaraman and Zakrzewski (2001) for sugar maple (Acer saccharum Marsh), Mehtätalo (2004) for Norway spruce (Picea abies (L.) Karst), and by Lynch et al. (2005) for cherrybark oak(Quercus pagoda Raf).”
Modelling tree height–diameter relationships in multi-species and multi-layered forests: A large observational study from Northeast China (2014, methodology): “Nonlinear mixed effect (NLMEM) was used to account for the hierarchical data structure and to provide predictive equations.”
Height–diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models (2016, background): “…et al., 2014), basal area (Staudhammer and LeMay, 2000; Temesgen et al., 2014), the median diameter of basal area weighted diameter distribution (Mehtätalo, 2004), dominant height (Sharma and Parton, 2007; Temesgen et al., 2014), crown competition factor (Temesgen et al., 2007), the basal area…”
Modeling height-diameter curves for prediction (2015, methodology): “D curves with minimal sample size per plot (e.g., Lappi 1991, 1997; Mehtätalo 2004, 2005; Calama and Montero 2004; Paulo et al. 2011; Sirkiä et al. 2014).”
Height-diameter models for Scots pine and birch in Finland (2005, methodology): “These properties of the model are discussed in Lappi (1997) and Mehtätalo (2004).”
Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forests (2008, background): “Recognizing this lack of independence, several recent studies have explored the use of linear mixed-effects models (LMEM; Monleon 2003; Robinson and Wykoff 2004; Mehtätalo 2004), and nonlinear mixed-effects models (NMEM; Calama and Montero 2004; Castedo et al.”