High carbon stocks in roadside plantations under participatory management in Bangladesh

Abstract

Plantations are important REDD+strategies for increasing carbon sequestration while enhancing local livelihoods. Reforestation along roads and highways under participatory forest management in southwestern Bangladesh could contribute to REDD+. This study assessed the diversity and structure of roadside plantations in order to develop a basal area based generalized allometric model for estimating above- and below-ground tree biomass carbon in Southwestern Bangladesh. All woody plants with d.b.h. ≥2cm were identified and their diameters measured in 108 systematically selected zigzag plots of equal size (2×10m). A total of 36 species in 17 families were recorded. Leguminosae accounted for 28% of species and 94% of the total estimated biomass carbon. We estimated a mean stem density of 4528ha-1, basal area of 52.6m2ha-1 and biomass carbon of 192.80Mgha-1. Samanea saman, Dalbergia sissoo, Acacia nilotica, and Leucaena leucocephala accounted for most density, basal area, and carbon. We developed and validated three allometric models with equal strength (R2 0.94-0.98) using generalized linear regression. Roadside plantations in Bangladesh can now surely participate in the UNFCCC's carbon mitigation and adaptation mechanism, but challenges to their long-term sustainability must be addressed.