Morphometry of leaf and shoot variables to assess aboveground biomass structure and carbon sequestration by different varieties of white mulberry (Morus alba L.)

Abstract

Mulberry is economically important and can also play a pivotal role in mitigating greenhouse gases. Leaf and shoot traits were measured for Morus alba var. Kanmasi, M. alba var. Karyansuban, M. alba var. Latifolia, and M. alba var. PFI-1 to assess aboveground biomass (AGB) and carbon sequestration. Variety-specific and multivariety allometric AGB models were developed using the equivalent diameter at breast height (EDBH) and plant height (H). The complete-harvest method was used to measure leaf and shoot traits and biomass, and the ash method was used to measure organic carbon content. The results showed significant (p < 0.01) varietal differences in leaf and shoot traits, AGB and carbon sequestration. PFI-1 variety had the greatest leaf density (mean ± SE: 1828.3 ± 0.3 leaves tree⁻¹), Karyansuban had the largest mean leaf area (185.94 ± 8.95 cm²). A diminishing return was found between leaf area and leaf density. Latifolia had the highest shoot density per tree (46.6 ± 1.83 shoots tree⁻¹), total shoot length (264.1 ± 2.32 m), dry biomass (16.69 ± 0.58 kg tree⁻¹), carbon sequestration (9.99 ± 0.32 kg tree⁻¹) and CO₂ mitigation (36.67 ± 1.16 kg). The variety-specific AGB models b(EDBH) and b(EDBH)² showed good fit and reasonable accuracy with a coefficient of determination (R ²) = 0.98–0.99, standard error of estimates (SEE) = 0.1125–0.3130 and root mean square error (RMSE) = 0.1084–0.3017. The multivariety models bln(EDBH) and (EDBH)^0.756 showed good-fitness and accuracy with R ² = 0.85–0.86, SEE = 1.6231–1.6445 and RMSE = 1.609–1.630. On the basis of these findings, variety Latifolia has good potential for biomass production, and allometric equations based on EDBH can be used to estimate AGB with a reasonable accuracy.

Keywords

Allometry / Biomass estimation / CO₂ mitigation / Moraceae / Mulberry / Regression models

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