Biomass and carbon storage in orchard ecosystems serve as significant carbon sinks to reduce global warming. The objective of this study was to determine the best-fitted model for non-destructive prediction of dry biomass and carbon stock in Psidium guajava. Richard’s model was well validated and considered as best performing with lowest Akaike information criterion of 90.13, ischolar_main mean square error of 1.69 kg tree–1 and highest adjusted R2 of 0.981. Tree components like leaves, branches, bole, total above-ground biomass, total below ground biomass and ischolar_main biomass were fitted in Richard’s model for dry biomass and carbon stock prediction. The total dry biomass of P. guajava ranged from 0.54 to 9.26 Mg ha–1 in 2–10- years-old orchards. The highest mean dry biomass across tree components was observed in branches, while ischolar_mains recorded the lowest mean biomass. The total carbon stock was 0.27 and 4.19 Mg ha–1 with CO2 sequestration potential of 0.76 and 11.54 Mg ha–1 in 2-year and 10-year-old orchards respectively.
Keywords
Biomass production, carbon stock, global warming, growth models, Psidium guajava
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