Table 3:
Open in new tab

testing two set of GLMs for estimating biomass from forest height, using 126 plots remained for model validation

BiomenOverall GLMBiome GLMs
Slope (CI)Intercept (CI)r2Slope (CI)Intercept (CI)r2
All1260.96 (0.87 to 1.06)0.20 (−0.27 to 0.68)0.700.92 (0.84 to 1.01)0.41 (−0.02 to 0.85)0.73
Boreal331.04 (0.85 to 1.27)−0.24 (−1.32 to 0.84)0.700.93 (0.76 to 1.15)0.32 (−0.68 to 1.31)0.68
Temperate240.94 (0.76 to 1.16)0.33 (−0.67 to 1.34)0.770.92 (0.75 to 1.13)0.44 (−0.51 to 1.39)0.78
Warm-temperate451.00 (0.83 to 1.21)−0.03 (−0.97 to 0.91)0.630.97 (0.81 to 1.15)0.17 (−0.68 to 1.03)0.67
Subtropical240.73 (0.58 to 0.91)1.52 (0.64 to 2.41)0.740.79 (0.65 to 0.95)1.18 (0.35 to 2.01)0.81
BiomenOverall GLMBiome GLMs
Slope (CI)Intercept (CI)r2Slope (CI)Intercept (CI)r2
All1260.96 (0.87 to 1.06)0.20 (−0.27 to 0.68)0.700.92 (0.84 to 1.01)0.41 (−0.02 to 0.85)0.73
Boreal331.04 (0.85 to 1.27)−0.24 (−1.32 to 0.84)0.700.93 (0.76 to 1.15)0.32 (−0.68 to 1.31)0.68
Temperate240.94 (0.76 to 1.16)0.33 (−0.67 to 1.34)0.770.92 (0.75 to 1.13)0.44 (−0.51 to 1.39)0.78
Warm-temperate451.00 (0.83 to 1.21)−0.03 (−0.97 to 0.91)0.630.97 (0.81 to 1.15)0.17 (−0.68 to 1.03)0.67
Subtropical240.73 (0.58 to 0.91)1.52 (0.64 to 2.41)0.740.79 (0.65 to 0.95)1.18 (0.35 to 2.01)0.81

The ‘Overall GLM’ was developed using data from all biomes (supplementary Appendix 2), while the ‘Biome GLMs’ were developed for each biome separately (supplementary Appendix 3). For each method, we tested its ability to predict the biomass for each biome and also for all biomes together. For each test, the r2, slope and intercept between predicted and observed biomass were reported. The slopes and intercepts were boldfaced, if the 95% CI of slope included 1 and the intercept CI included 0. n = sample size.

Table 3:
Open in new tab

testing two set of GLMs for estimating biomass from forest height, using 126 plots remained for model validation

BiomenOverall GLMBiome GLMs
Slope (CI)Intercept (CI)r2Slope (CI)Intercept (CI)r2
All1260.96 (0.87 to 1.06)0.20 (−0.27 to 0.68)0.700.92 (0.84 to 1.01)0.41 (−0.02 to 0.85)0.73
Boreal331.04 (0.85 to 1.27)−0.24 (−1.32 to 0.84)0.700.93 (0.76 to 1.15)0.32 (−0.68 to 1.31)0.68
Temperate240.94 (0.76 to 1.16)0.33 (−0.67 to 1.34)0.770.92 (0.75 to 1.13)0.44 (−0.51 to 1.39)0.78
Warm-temperate451.00 (0.83 to 1.21)−0.03 (−0.97 to 0.91)0.630.97 (0.81 to 1.15)0.17 (−0.68 to 1.03)0.67
Subtropical240.73 (0.58 to 0.91)1.52 (0.64 to 2.41)0.740.79 (0.65 to 0.95)1.18 (0.35 to 2.01)0.81
BiomenOverall GLMBiome GLMs
Slope (CI)Intercept (CI)r2Slope (CI)Intercept (CI)r2
All1260.96 (0.87 to 1.06)0.20 (−0.27 to 0.68)0.700.92 (0.84 to 1.01)0.41 (−0.02 to 0.85)0.73
Boreal331.04 (0.85 to 1.27)−0.24 (−1.32 to 0.84)0.700.93 (0.76 to 1.15)0.32 (−0.68 to 1.31)0.68
Temperate240.94 (0.76 to 1.16)0.33 (−0.67 to 1.34)0.770.92 (0.75 to 1.13)0.44 (−0.51 to 1.39)0.78
Warm-temperate451.00 (0.83 to 1.21)−0.03 (−0.97 to 0.91)0.630.97 (0.81 to 1.15)0.17 (−0.68 to 1.03)0.67
Subtropical240.73 (0.58 to 0.91)1.52 (0.64 to 2.41)0.740.79 (0.65 to 0.95)1.18 (0.35 to 2.01)0.81

The ‘Overall GLM’ was developed using data from all biomes (supplementary Appendix 2), while the ‘Biome GLMs’ were developed for each biome separately (supplementary Appendix 3). For each method, we tested its ability to predict the biomass for each biome and also for all biomes together. For each test, the r2, slope and intercept between predicted and observed biomass were reported. The slopes and intercepts were boldfaced, if the 95% CI of slope included 1 and the intercept CI included 0. n = sample size.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close