The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: case study of Albizia grandibracteata and Trichilia dregeana

Daba, Damena Edae; Soromessa, Teshome

doi:10.1186/s13021-019-0134-8

Table 2 Best fitted regression models for predicting aboveground biomass of A. grandibracteata and T. dregeana

From: The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: case study of Albizia grandibracteata and Trichilia dregeana

Equation No.	Allometric equations	Coefficients		Model performance statistics
Equation No.	Allometric equations	Symbol	Value	Adj.R²	RSE	AIC	CF	p-value
AgEq1	TAGB = exp[α + β₁ln(D) + β₂ln(H) + β₃ln(ρ)]	α	− 0.793	0.9936	0.1347	− 79.49	1.0091	≤ 0.001
		β₁	2.117
		β₂	0.062
		β₃	0.991
AgEq2	TAGB = exp[α + β₁ ln(D²H) + β₂ln(ρ)]	α	− 0.810	0.983	0.2198	− 50.96	1.0245	≤ 0.001
		β₁	0.749
		β₂	1.030
AgEq3	TAGB = exp[α + β₁ln(D)]	α	− 1.744	0.9797	0.2408	− 46.41	1.0294	≤ 0.001
AgEq3	TAGB = exp[α + β₁ln(D)]	β₁	2.241	0.9797	0.2408	− 46.41	1.0294	≤ 0.001
AgEq4	TAGB = exp[α + β₁ln(D) + β₂ln(H)]	α	− 1.755	0.979	0.2449	− 44.49	1.0304	≤ 0.001
		β₁	2.199
		β₂	0.049
AgEq5	TAGB = exp[α + β₁ln(D²H)]	α	− 1.834	0.9681	0.3016	− 32.89	1.0465	≤ 0.001
AgEq5	TAGB = exp[α + β₁ln(D²H)]	β₁	0.775	0.9681	0.3016	− 32.89	1.0465	≤ 0.001
AgEq6	TAGB = exp[α + β₁ln(H)]	α	− 1.363	0.8545	0.6437	12.59	1.2302	≤ 0.001
AgEq6	TAGB = exp[α + β₁ln(H)]	β₁	2.286	0.8545	0.6437	12.59	1.2302	≤ 0.001
AgEq7	TAGB = exp[α + β₁ln(ρDH)]	α	− 0.699	0.9682	0.3007	16.97	1.0462	≤ 0.001
AgEq7	TAGB = exp[α + β₁ln(ρDH)]	β₁	1.129	0.9682	0.3007	16.97	1.0462	≤ 0.001
Ag Eq8	TAGB = exp[α + β₁ln(DH)]	α	− 1.803	0.9514	0.3722	29.77	1.0717	≤ 0.001
Ag Eq8	TAGB = exp[α + β₁ln(DH)]	β₁	1.172	0.9514	0.3722	29.77	1.0717	≤ 0.001
TdEq1	TAGB = exp[α + β₁ ln(D) + β₂ ln(H) + β₃ ln(ρ)]	α	− 2.526	0.975	0.3204	22.55	1.0560	≤ 0.001
		β₁	2.029
		β₂	0.593
		β₃	0.648
TdEq 2	TAGB = exp[α + β₁ln(D²H) + β₂ln(ρ)]	α	− 2.756	0.973	0.3302	23.49	1.0560	≤ 0.001
		β₁	0.897
		β₂	0.562
TdEq 3	TAGB = exp[α + β₁ln(D²H)]	α	− 3.168	0.972	0.3408	24.48	1.0598	≤ 0.001
TdEq 3	TAGB = exp[α + β₁ln(D²H)]	β₁	0.888	0.972	0.3408	24.48	1.0598	≤ 0.001
TdEq 4	TAGB = exp[α + β₁ln(D) + β₂ln(H)]	α	− 3.032	0.972	0.3371	24.74	1.0585	≤ 0.001
		β₁	1.964
		β₂	0.641
TdEq 5	TAGB = exp[α + β₁ln(D)]	α	− 2.563	0.962	0.3911	32.74	1.0795	≤ 0.001
TdEq 5	TAGB = exp[α + β₁ln(D)]	β₁	2.427	0.962	0.3911	32.74	1.0795	≤ 0.001
TdEq 6	TAGB = exp[α + β₁ln(DH)]	α	− 3.356	0.958	0.4121	35.87	1.0886	≤ 0.001
TdEq 6	TAGB = exp[α + β₁ln(DH)]	β₁	1.377	0.958	0.4121	35.87	1.0886	≤ 0.001
TdEq 7	TAGB = exp[α + β₁ln(ρDH)]	α	− 2.220	0.951	0.4467	40.71	1.1049	≤ 0.001
TdEq 7	TAGB = exp[α + β₁ln(ρDH)]	β1	1.393	0.951	0.4467	40.71	1.1049	≤ 0.001
TdEq 8	TAGB = exp[α + β₁ln(H)]	α	− 3.088	0.819	0.8565	79.77	1.4431	≤ 0.001
TdEq 8	TAGB = exp[α + β₁ln(H)]	β₁	2.771	0.819	0.8565	79.77	1.4431	≤ 0.001

Where TAGB: aboveground tree biomass (kg); D: diameter at breast height of tree (cm); H: total tree height (m); ρ: Wood Density (g cm⁻³); α: intercept; β₁, β₂, β₃: are slopes; adj.R²: adjusted R square; RSE: Residual Standard Error; AIC: Akaike Information Criterion; CF: correction factor; AgEq: A. grandibracteata Equation; TdEq: T. dregeana equation

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ISSN: 1750-0680

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