作者: Rinku Moni Kalita , Ashesh Kumar Das , Arun Jyoti Nath
DOI: 10.1016/J.BIOMBIOE.2015.08.017
关键词:
摘要: Tea (Camellia sinensis (L.) O. Kuntze) agroforestry has widespread implications for the earnings and food security a large fraction of population in NorthEast India. It also immense potentiality to act as considerable reservoir biomass carbon providing climate change mitigation options. In present study an attempt was made develop allometric equations above- belowground estimation specific [C. Kuntze] Barak Valley northeast Relationships were developed through destructive sampling regressing diameter alone along height, wood density, crown area, branch count with biomass. Allometric power function equation linear equivalents have been developed. Diameter singly could predict significantly aboveground (AGB) root (BGB) total (TB) over 95% accuracy. Whereas incorporation influenced model terms modified coefficient determination minimized errors. Branches, stem leaves accounted 50, 21 6% AGB respectively. Root contributed 23% bush The samples exhibited overall BGB/AGB ratio 0.30 ± 0.08 expansion factor (BEF) by 4.23 ± 1.6. Biomass different components differs varied sizes.