| Autor: |
Norbu Wangdi, Nirola, Mani Prasad, Mayer, Mathias, Norbu Zangmo, Karma Orong, Ahmed, Iftekhar Uddin, Darabant, Andras, Jandl, Robert, Gratzer, Georg, Schindlbacher, Andreas |
| Předmět: |
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| Zdroj: |
Biogeosciences Discussions; 2016, p1-25, 25p |
| Abstrakt: |
The biogeochemistry of mountain forests in the Hindu Kush-Himalaya range is poorly studied although climate change is expected to disproportionally affect the region. We measured the soil CO2 efflux (Rs) at a high elevation (3260 m) coniferous, and a lower elevation (2460 m) broadleaved forest in Bhutan, eastern Himalayas, during 2014 and 2015. Both sites experienced typical monsoon weather (cold-dry winters, warm-wet summers) during the study. Trenching was applied to estimate the contribution of autotrophic (Ra) and heterotrophic (Rh) soil respiration. The temperature (Q10) and the moisture sensitivities of Rh were determined under controlled laboratory conditions and were used to model Rh in the field. The higher elevation coniferous forest had a higher standing tree stock, reflected in higher soil C stocks and basal soil respiration (R10). Rs was similar between the two forests (2015: 14.5 ± 1.2 t C yr-1 broadleaved; 12.8 ± 1.0 t C yr-1 coniferous). Modelled annual contribution of Ra was ~ 45% at both forests with a low autotrophic contribution during winter and high contribution during the monsoon season. Ra, estimated from trenching, was lower and highly variable, indicating that trenching poorly performed at these forests/soils. Rs neatly followed the annual course of soil temperature (field Q10 between 4 and 5) at both sites. Co-variation between soil temperature and moisture likely was the main cause for the high Q10 obtained from field Rs. Temperature sensitivity of Rh was lower (Q10 ~ 2.3 at both sites). Under the preceding weather conditions, a simple temperature-driven model was able to explain more than 90% of the temporal variation in Rs. To predict and understand how Rs responds to infrequently occurring extreme climate conditions such as monsoon failures, however, longer Rs time series are required for a better integration of interactions between soil temperature, moisture, Ra and Rh. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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