Soil carbon stocks under different forest types in Bhutan, Eastern Himalayas
Access status:
Open Access
Type
ThesisThesis type
Doctor of PhilosophyAuthor/s
Tashi, SonamAbstract
This dissertation focusses on quantifying C stocks from forest ecosystems in the Eastern Himalayan. Total soil C and N stocks significantly increased with altitude and decreased with soil depth. Carbon and N stocks were significantly correlated with altitude which accounted for 73% ...
See moreThis dissertation focusses on quantifying C stocks from forest ecosystems in the Eastern Himalayan. Total soil C and N stocks significantly increased with altitude and decreased with soil depth. Carbon and N stocks were significantly correlated with altitude which accounted for 73% and 47% of the variation in C and N stocks, respectively. To elucidate the driving processes of C and N stocks, inputs and stability, C and N isotopes in soil and biomass were measured. Overstorey vegetation contributes significantly to the soil C, as 13C of overstorey and soil showed similar trends. The slope of soil δ13C versus the C concentration, indicative of organic matter decomposition, was smallest at the highest altitude forest. This suggests slow turnover of C and N in the high altitude forest soils. Sequential density fractionation, DRIFT spectroscopy and IRMS were used to determine the different proportion and forms of C in forest soils. Lighter soil density fractions had a greater proportion of aliphatic C, while the heavier soil density fractions had a greater proportion of aromatic C. The larger proportion of aromatic C in the higher soil density fractions suggests that SOC in this fraction has been more processed, corroborated by the accompanied decreased C:N ratio and enrichment of δ13C with increasing soil density fractions. Aboveground biomass (AGB) allometric equations were developed to estimate forest AGB C stocks for the study area. Estimated AGB C stocks increased with altitude from 57 to 207 Mg C ha-1. The use of measured C concentration rather than an assumed 50% C for biomass reduced estimated AGB C stocks between 6.8 and 8.6%. The estimation of C stocks in the forest soils and biomass allometric equations for the different forest types in Bhutan will enable the region to better monitor its C stocks and emission to benefit from the United Nations REDD programs.
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See moreThis dissertation focusses on quantifying C stocks from forest ecosystems in the Eastern Himalayan. Total soil C and N stocks significantly increased with altitude and decreased with soil depth. Carbon and N stocks were significantly correlated with altitude which accounted for 73% and 47% of the variation in C and N stocks, respectively. To elucidate the driving processes of C and N stocks, inputs and stability, C and N isotopes in soil and biomass were measured. Overstorey vegetation contributes significantly to the soil C, as 13C of overstorey and soil showed similar trends. The slope of soil δ13C versus the C concentration, indicative of organic matter decomposition, was smallest at the highest altitude forest. This suggests slow turnover of C and N in the high altitude forest soils. Sequential density fractionation, DRIFT spectroscopy and IRMS were used to determine the different proportion and forms of C in forest soils. Lighter soil density fractions had a greater proportion of aliphatic C, while the heavier soil density fractions had a greater proportion of aromatic C. The larger proportion of aromatic C in the higher soil density fractions suggests that SOC in this fraction has been more processed, corroborated by the accompanied decreased C:N ratio and enrichment of δ13C with increasing soil density fractions. Aboveground biomass (AGB) allometric equations were developed to estimate forest AGB C stocks for the study area. Estimated AGB C stocks increased with altitude from 57 to 207 Mg C ha-1. The use of measured C concentration rather than an assumed 50% C for biomass reduced estimated AGB C stocks between 6.8 and 8.6%. The estimation of C stocks in the forest soils and biomass allometric equations for the different forest types in Bhutan will enable the region to better monitor its C stocks and emission to benefit from the United Nations REDD programs.
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Date
2017-03-16Faculty/School
Faculty of Agriculture and EnvironmentAwarding institution
The University of SydneyShare