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Table 3 Regression coefficients of the mixed-effects survival models

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

Predictor

Modelling approach

Regression 1

Regression 2

Optimization

Constant

2.81439

6.42965

6.42705

ln(d)

2.96858

3.35703

1.83056

d

–0.08303

–0.08219

–0.02004

ln(T)

–2.31578

–4.14173

–2.72766

DOM

0.78448

0.95684

1.67272

Step

–0.20889

Period 1 (1974–1975)

–0.61513

–0.56050

0.20351

Period 2 (1975–1976)

–0.56811

–1.02784

0.58189

Period 3 (1976–1977)

–0.32775

–0.25067

0.04924

Period 4 (1977–1978)

0.59064

0.85832

0.04480

Period 5 (1978–1979)

–0.23147

0.19763

0.19210

Period 6 (1979–1980)

0.65382

0.66163

–0.21627

Period 7 (1979–1983)

0.49989

0.2948

0.33837

Period 8 (1980–1983)

0.57873

0.24327

0.06472

Period 9 (1983–1990)

0.43741

0.29726

–0.17157

Period 10 (1983–1991)

0.47512

0.29659

–0.42628

Period 11 (1983–1996)

–0.31605

–0.16725

0.10843

Period 12 (1990–1996)

–0.22321

–0.13769

0.52595

Period 13 (1991–1996)

–0.95390

–0.89791

0.97645

  1. d = diameter at breast height; T = stand age; DOM = dominance; Step = length of the projection period.