Predictive models for biomass and carbon stocks estimationin Grewiaoptiva on degraded lands in western Himalaya

Abstract

rewia optiva Drummond is one of important agroforestry tree species grown by the farmers in the lower and mid-hills of western Himalaya. Different models viz., monomolicular, logistic, gompetz, allometric, rechards, chapman and linear were fitted to the relationship between total biomass and diameter at breast height (DBH) as independent variable. The adjusted R2 values were more than 0.924 for all the seven models implying that all models are apparently equally efficient. Out of the six non-linear models, allometric model (Y=a9DBHb) fulfils the validation criterion to the best possible extent and is thus considered as best performing. Biomass in different tree components was fitted to allometric models using DBH as explanatory variable, the adjusted R2 for fitted functions varied from 0.872 to 0.965 for different biomass components. The t values for all the components were found non-significant (p[0.05]), thereby indicating that model is valid. Using the developed model, the estimated total biomass varied from 6.62 Mg ha-1 in 4 year to 46.64 Mg ha-1 in 23 year old plantation. MAI in biomass varied from 1.66–2.05 Mg ha-1yr-1. Thetotal biomass carbon stocks varied from 1.99 Mg ha-1 in 4 year to 15.27 Mg ha-1 in 23 year old plantation. Rate of carbon sequestration varied from 0.63–0.81 Mg ha-1yr-1. Carbon storage in the soil up to 30 cm soil depth varied from 25.4 to 33.6 Mg ha-1