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Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon

Research Journal of Ecology and Environmental Sciences | Vol 1, Issue 2

Table 3. Models parameters andperformance criteria for biomass estimation

Compartments Models Regressions coefficients Adj.R2 RSE AIC FC
a b c d e
Leaf 1 1.04** 0.38 ** 0.75 0.445 8.75 1.10
2 0.52*** 0.011* 0.74 0.433 7.88 1.09
3 2.45** 0.29** 0.76 0.487 7.98 1.12
4 0.82*** 0.09*** 0.87 0.401 6.87 1.08
5 0.44** 0.64 ** 0.85 0.445 10.01 1.10
6 0.08 *** 0.31* 0.88 0.400 6.82 1.08
7 1.92** 2.09** 0.71** 0.76 0.473 11.06 1.11
8 0.80*** 2.02*** 0.31** 0.67 0.438 9.87 1.10
9 3.08** 1.50** 0.01** 0.65 0.459 10.42 1.11
10 3.15*** 1.11* 0.78** 0.74 0.483 9.73 1.12
11 1.02** 0.40** 0.31** 0.15** 0.76 0.487 7.96 1.12
12 3.21*** 0.22*** 0.10** 0.82** 0.77 0.408 10.97 1.08
13 1.04** 0.84** 0.10** 0.02** 0.38** 0.85 0.445 11.05 1.10
Branch 1 2.54** 0.88** 0.73 0.425 10.04 1.09
2 0.92*** 1.11* 0.78 0.411 12.08 1.08
3 0.72** 0.94** 0.83 0.438 10.41 1.10
4 0.53*** 1.79*** 0.75 0.451 10.05 1.10
5 1.04** 0.49** 0.84 0.409 9.88 1.08
6 0.14*** 0.65* 0.89 0.403 8.53 1.08
7 -0.03** -1.89** 0.61** 0.77 0.418 10.07 1.09
8 0.40*** 0.92*** -0.01** 0.74 0.415 8.97 1.08
9 3.08** 0.50** 0.01** 0.84 0.411 10.24 1.08
10 0.15*** -0.11* -0.08** 0.71 0.417 9.05 1.09
11 1.02** 0.40** 0.31** 0.15** 0.82 0.418 10.00 1.09
12 -0.88*** 0.02*** -0.10** 0.82** 0.68 0.415 10.11 1.08
13 -2.94** 0.33** 0.10** 0.02** 0.08** 0.76 0.423 10.94 1.09
Stem 1 0.04** -1.88** 0.86 0.487 9.70 1.12
2 -0.30*** 2.81* 0.87 0.426 10.07 1.09
3 -2.72** 0.04** 0.85 0.445 10.00 1.10
4 2.03*** 1.32*** 0.95 0.401 8.04 1.08
5 -5.04** 0.98** 0.86 0.412 9.06 1.08
6 0.47*** -5.65* 0.88 0.421 10.07 1.09
7 -6.03** -1.05** -6.61** 0.80 0.407 9.76 1.08
8 -7.40*** 2.92*** -0.81** 0.90 0.428 10.89 1.09
9 0.08** -0.90** 0.31** 0.83 0.415 11.01 1.08
10 -3.15*** -0.11* -0.08** 0.91 0.403 10.48 1.08
11 0.92** -7.40** 0.01** 0.75** 0.86 0.407 9.03 1.08
12 -4.01*** 0.23*** -0.43** 0.01** 0.93 0.418 10.99 1.09
13 2.04** -0.54** -1.19** 0.22** 0.07** 0.76 0.405 13.03 1.08
AGB 1 4.55** 2.85** 0.97 0.408 10.07 1.08
2 2.92*** -4.11* 0.85 0.445 10.65 1.10
3 0.72** 0.94** 0.94 0.433 10.94 1.09
4 -4.53*** 0.09*** 0.76 0.487 10.76 1.12
5 -2.04** 0.01** 0.87 0.468 10.57 1.11
6 0.14*** -0.05* 0.86 0.487 10.76 1.12
7 -5.03** -1.00** 1.01** 0.80 0.438 10.85 1.10
8 2.00*** -6.92*** -0.98** 0.65 0.445 10.65 1.10
9 -7.33** 0.77** 0.63** 0.93 0.431 10.94 1.09
10 0.05*** -8.02* 2.06** 0.78 0.480 10.70 1.12
11 1.09** -0.80** 2.31** -6.50** 0.67 0.452 10.63 1.10
12 -3.08*** 1.11*** 0.76** 1.02** 0.77 0.489 10.36 1.12
13 1.31** 0.03** -2.18** 0.58** 0.12** 0.91 0.422 10.15 1.09
BGB 1 3.04** 1.64** 0.85 0.500 8.05 1.13
2 0.92*** 1.11* 0.44 0.598 22.04 1.19
3 0.72** 0.94** 0.73 0.587 20.90 1.18
4 0.53*** 1.79*** 0.47 0.508 10.07 1.13
5 1.04** 0.49** 0.50 0.567 19.03 1.17
6 0.14*** 0.65* 0.57 0.518 10.07 1.14
7 -0.03** -1.89** 0.61** 0.65 0.525 11.65 1.14
8 0.40*** 0.92*** -0.01** 0.64 0.503 11.44 1.13
9 3.08** 0.50** 0.01** 0.80 0.557 18.32 1.16
10 0.15*** -0.11* -0.08** 0.67 0.508 10.07 1.13
11 1.02** 0.40** 0.31** 0.15** 0.76 0.527 10.76 1.14
12 -0.88*** 0.02*** -0.10** 0.82** 0.70 0.528 10.07 1.14
13 -2.94** 0.33** 0.10** 0.02** 0.08** 0.75 0.525 10.65 1.14

The coefficients at p <0.001 are significantly different from zero; *: Significant, **: Very significant, ***: Highly significant, AGB: Aboveground biomass, BGB: Belowground biomass, D: Diameter, H: Height, WD: Wood density, Coefficient of regression model (a, b, c, d and e), coefficient of deter-mination adjusted (Adj.R2), correction factor (CF), residual standard error (RSE) and Akaike in-formation criteria (AIC).

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