ASSESSMENT OF ABOVEGROUND BIOMASS AND CARBON STOCK IN THE TREE-BASED LAND USE SYSTEMS OF KODAGU BASED ON GROUND SAMPLING AND SPECTRAL MODELLING

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Date
2019-09-26
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UNIVERSITY OF AGRICULTURAL SCIENCES, GKVK BENGALURU
Abstract
The study on assessment of aboveground biomass and carbon stocks in tree based land use systems of Kodagu was carried out during 2017-18 by using RS and GIS techniques. Significant difference between different land use systems in terms of diversity, composition, density and vegetation structural parameters was observed. Evergreen forests are found to be floristically richer and diverse among all land use systems. Among the production land uses, coffee plantations with native trees are also found to be rich with respect to species richness and diversity and almost resembled natural forests. Aboveground biomass and carbon in dry and moist deciduous forests, robusta and arabica coffee plantations with exotic tree, rubber and teak plantation were found to be on par with each other. On the other hand, biomass and carbon existed in evergreen forest, robusta and arabica coffee plantations with native trees and robusta coffee plantations with mixed trees were almost similar but differed significantly with other land use systems. In dry and moist deciduous forests, robusta coffee plantation with exotic type, arabica coffee plantations with native and exotic types and teak plantations, the maximum biomass and carbon was contributed by 90-120 cm girth class individuals. Whereas, in evergreen forests, robusta coffee plantation with mixed type and robusta coffee plantation with native types, the maximum biomass and carbon has been contributed by higher girth class (>180 cm). Therefore, removal of individuals from these classes significantly alters the carbon stock and dynamics in this region. Geospatial modelling of aboveground biomass and carbon revealed an average of 182.02 Mg ha–1 and 85.55 Mg ha–1 , respectively with a total of 74.70 Mt of biomass and 35.11 Mt of carbon for the entire district with 73% accuracy
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