Impact of environmental factors on the dependency of litter biomass in carbon cycling of Hooghly estuary, India

Abstract

Litterfall of the mangroves and its subsequent decomposition is an important mechanism in terms of productivity and nutrient cycle of that ecosystem. Present study emphasizes on the significance of litter biomass and role of environmental factors impacting this process. Mangrove litter undergoes degradation and decomposition and serves as the main source of carbon in different forms within the system, mangrove forests adjacent to the creeks at Sagar Island of the Hooghly–Matla estuarine ecosystem. This system receives a major load of carbon from adjacent mangrove forest in the form of litterfall throughout the year. Keeping in view the effect of environmental factors on litterfall and dynamics of carbon, machine learning method has been applied for this study. Different forms of carbon and environmental factors like temperature, salinity, pH, dissolved oxygen are estimated following standard procedure. Correlation, redundancy analysis and LASSO (Least Absolute Shrinkage and Selection Operator) regression are done in order to know the impact of environmental variables on carbon pool dynamics and effect of litterfall on the carbon pools in soil and water. The results reflect a strong correlation among the studied environmental factors and carbon pool dynamics. It has been revealed from the LASSO prediction results that each carbon pool is sensitive to a separate set of environmental factors.