Local Models for Forest Canopy Cover with Beta Regression
By Lauri Korhonen, Kari T. Korhonen, Pauline Stenberg, Matti Maltamo, Miina Rautiainen. 2007
60 citations recorded by the source corpus.
Summary of the Suonenjoki modelling data. Pine (n = 52) Spruce (n = 48) Mean Min Max Sd Mean Min Max Sd Canopy cover (%) 51.0 2.5 84 19.3 69.9 34.2 96.8 15.9Basal area (m 2 /ha) 15.0 0.3 34 8.4 20.9 1.0 44.8 10.3Stand density (stems/ha) 2700 260 10500 2380 2880 450 15900 2740Age (years) 65 7 160 40.2 51 11 112 26Mean diameter (cm) 16.7 1.4 36.6 10.1 17.1 2.6 31.3 8.0Mean height (m) 13.7 1.8 29.2 7.4 15.0 2.9 26.7 7.1Deciduous trees (%) 1.8 0 25.9 4.6 8.9 0 47.3 10.6 Table 2. Summary of the Suonenjoki comparison plots. Pine (n = 10) Spruce (n = 9) Mean Min Max Sd Mean Min Max Sd Canopy cover (%) 57.6 35.6 83.3 15.9 65.7 34.2 88.4 17.1Basal area (m 2 /ha) 17.7 9.3 29 6.4 19.4 1.0 27.3 8.9Stand density (stems/ha) 1700 260 4650 1500 3370 580 15900 4900Age (years) 65 25 124 38 52 12 95 26Mean diameter (cm) 17.9 6.3 34.6 9.2 17.2 3.3 27.3 8.5Mean height (m) 15.1 5.8 26.4 6.4 15.7 3.4 25.6 7.7Deciduous trees (%) 0.4 0 3.6 1.1 13.1 0 34.6 11.2
Subfields: Environmental Engineering, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/41bd3def5ff7b273b001912b7f9f0df06c542cd1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
In Nature and Landscape Conservation
Citations in the corpus
- Methods for estimating aboveground biomass and its components for Douglas-fir and lodgepole pine trees (2016, methodology): “Korhonen et al. (2007) used this technique for modeling percent canopy cover in a conifer-dominated study area in central Finland.”
- A general class of zero-or-one inflated beta regression models (2011, background): “els have been studied by Kieschnick & McCullough (2003), Ferrari & Cribari-Neto (2004), Espinheira, Ferrari & Cribari-Neto (2008a, 2008b), Paolino (2001), Smithson & Verkuilen (2006), Korhonen et al. (2007), Simas, BarretoSouza & Rocha (2010), and Ferrari & Pinheiro (2010), a”
- Improved likelihood inference in beta regression (2011, unknown): “[7], Silvestre et al.”