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Table 1 Descriptive statistics of the modelling data

From: Evaluation of different approaches to individual tree growth and survival modelling using data collected at irregular intervals – a case study for Pinus patula in Kenya

Modelling Predictor Minimum Mean Maximum Standard deviation
Diameter increment modelling (13,483 observations) dbh (cm) 2.3 18.0 51.0 6.2
Diameter increment (cm · a–1) 0 0.7 8.7 0.7
BALa (m2 · ha–1) 0 35.4 175.0 28.7
Stand basal area (m2 · ha–1) 0.3 74.3 183.6 28.7
Measurement interval (years) 0.6 2.3 12.5 2.6
Survival modelling (14,150 observations) dbh (cm) 2.3 18.0 51.0 6.3
Stand age (year) 7.2 11.5 23.9 4.1
DOM b 0 0.5 1.0 0.3
Measurement interval (year) 0.6 2.4 12.5 2.8
Height modelling (1,698 observations) dbh (cm) 5.0 23.7 51.0 7.3
Height (m) 8.0 19.1 39.0 5.5
Dominant diameter (cm) 17.0 26.8 45.0 6.0
Dominant height (m) 11.0 19.8 33.0 5.3
Dominant height modelling (260 observations) Starting age (T1, year) 4.0 10.3 23.9 4.5
Starting dominant height (H1, m) 4.1 17.6 32.5 6.8
Ending age (T2, year) 6.0 12.7 28.7 6.6
Ending dominant height (H2, m) 6.6 20.4 36.7 6.8
  1. aBasal area in larger trees.
  2. bDominance = 1 – BAL/G where G is stand basal area.