Abstract Converting natural forests to intensively managed plantations markedly alters soil carbon (C) dynamics. However, the impact of such land-use change on soil respiration (RS) components remains unclear. The objective… Click to show full abstract
Abstract Converting natural forests to intensively managed plantations markedly alters soil carbon (C) dynamics. However, the impact of such land-use change on soil respiration (RS) components remains unclear. The objective of this study was to examine the effect on RS, autotrophic respiration (RA) and heterotrophic respiration (RH) of converting a natural evergreen broadleaf forest to an intensively managed Moso bamboo (Phyllostachys edulis) plantation. A two-year field study was carried out to assess the seasonal dynamics of RS, RA and RH in three broadleaf forest-bamboo plantation pairs, using a portable soil CO2 flux measurement system. Results showed that converting the evergreen broadleaf forest to the bamboo plantation increased the annual cumulative RS and RH by 18.8% and 20.9%, respectively, but did not change the annual cumulative RA. Soil temperature alone explained 48% and 79% of seasonal variations in RA and RH, respectively, in the evergreen broadleaf forest, and 68% and 79%, respectively, in the bamboo plantation. The land-use change increased the apparent temperature sensitivity (Q10) of RA, but did not affect that of RH. Regardless of the land-use type, both RA and RH were positively correlated with soil water soluble organic C, but not with soil moisture content. The RH was positively correlated to soil microbial biomass C (MBC) in the evergreen broadleaf forest, but not in the bamboo plantation. The RA was not correlated with soil MBC, regardless of the land-use type. Therefore, soil RA and RH responded differently to land-use change and variations in environmental factors, suggesting that partitioning of RS to different components is essential to elucidate mechanisms associated with changes in RS induced by land-use change and to predict RS under different climate change scenarios.
               
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