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<p>Perennial in nature, coffee is an integral part of climate-smart farming practice that sequesters carbon in both below- (BGB) and above-ground biomass (ABG). The contribution of BGB to carbon sequestration in standing coffee biomass is poorly understood due to methodological challenges. Allometry has been used to estimate BGB for Arabica coffee plants, but applicability of the functions to Robusta coffee in Uganda is uncertain. Robusta coffee plants (n = 60) were randomly selected from contrasting pedoclimatic districts of southwestern Uganda across a time gradient of organic certification. From each plant, girth at base (G<sub>base</sub>, cm), girth at 15&#xa0;cm above ground (G<sub>15</sub>, cm) girth at nodal separation (G<sub>t</sub>, cm) and plant height (cm) were taken before excavating and collecting all roots &gt; 2&#xa0;mm. The total fresh weight of each biomass part was measured on a digital scale. A fresh sample of each biomass part was measured before oven drying to constant weight to determine BGB and ABG in kg dry weight (DW) per plant. The data set was randomly split into a calibration sub-dataset (n = 40) and an evaluation sub-dataset (n = 20). The existing and developed functions were evaluated qualitatively using unit plots and quantitatively using the root mean square error (RMSE), %bias and squared correlation coefficient (R<sup>2</sup>). The best biomass model was <i>BGB</i> = <i>0.2006G</i><sub><i>base</i></sub><i>−2.757</i> (RMSE = 0.0930, R<sup>2</sup> = 0.978, %bias = 1.03), and <i>AGB</i> = <i>0.5799G</i><sub><i>base</i></sub><i>−4.71</i> (RMSE = 0.140. R<sup>2</sup> = 0.772, %bias = 0.117). These functions are more reliable for estimation of the BGB and AGB of Robusta coffee bushes across pedoclimatic zones and coffee management regimes in Uganda than existing ones.</p>

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Allometric functions for estimating below- and above-ground biomass of Robusta Coffee in Southwestern Uganda

  • 期刊论文

  • 发表日期：

    2026年1月28日

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  • Anna Nowembabazi,
  • Godfrey Taulya,
  • John Baptist Tumuhairwe,
  • James Mutegi

摘要

Perennial in nature, coffee is an integral part of climate-smart farming practice that sequesters carbon in both below- (BGB) and above-ground biomass (ABG). The contribution of BGB to carbon sequestration in standing coffee biomass is poorly understood due to methodological challenges. Allometry has been used to estimate BGB for Arabica coffee plants, but applicability of the functions to Robusta coffee in Uganda is uncertain. Robusta coffee plants (n = 60) were randomly selected from contrasting pedoclimatic districts of southwestern Uganda across a time gradient of organic certification. From each plant, girth at base (Gbase, cm), girth at 15 cm above ground (G15, cm) girth at nodal separation (Gt, cm) and plant height (cm) were taken before excavating and collecting all roots > 2 mm. The total fresh weight of each biomass part was measured on a digital scale. A fresh sample of each biomass part was measured before oven drying to constant weight to determine BGB and ABG in kg dry weight (DW) per plant. The data set was randomly split into a calibration sub-dataset (n = 40) and an evaluation sub-dataset (n = 20). The existing and developed functions were evaluated qualitatively using unit plots and quantitatively using the root mean square error (RMSE), %bias and squared correlation coefficient (R2). The best biomass model was BGB = 0.2006Gbase−2.757 (RMSE = 0.0930, R2 = 0.978, %bias = 1.03), and AGB = 0.5799Gbase−4.71 (RMSE = 0.140. R2 = 0.772, %bias = 0.117). These functions are more reliable for estimation of the BGB and AGB of Robusta coffee bushes across pedoclimatic zones and coffee management regimes in Uganda than existing ones.