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Katsuta, Nagayoshi*; Ikeda, Hisashi*; Shibata, Kenji*; Kokubu, Yoko; Murakami, Takuma*; Tani, Yukinori*; Takano, Masao*; Nakamura, Toshio*; Tanaka, Atsushi*; Naito, Sayuri*; et al.
Global and Planetary Change, 164, p.11 - 26, 2018/05
Times Cited Count：11 Percentile：40.88(Geography, Physical)Paleoenvironmental and paleoclimate changes in Siberia were reconstructed by continuous, high-resolution records of chemical compositions from a sediment core retrieved from the Buguldeika Saddle, Lake Baikal, dating back to the last 33 cal. ka BP. The Holocene climate followed by a shift at ca. 6.5 cal. ka BP toward warm and dry, suggesting that the climate system transition from the glacial to interglacial state occurred. In the last glacial period, the deposition of carbonate mud from the Primorsky Range was associated with Heinrich events (H3 and H1) and the Selenga River inflow was caused by meltwater of mountain glaciers in the Khamar-Daban Range. The anoxic bottom-water during Allerod-Younger Dryas was probably a result of weakened ventilation associated with reduced Selenga River inflow and microbial decomposition of organic matters from the Primorsky Range. The rapid decline in precipitation during the early Holocene may have been a response to the 8.2 ka cooling event.
Nagai, Haruyasu; Koarashi, Jun; Atarashi-Andoh, Mariko
no journal, ,
The proposed project aims to understand processes driving carbon cycling in terrestrial ecosystems and their sensitivity to changes in environment, and to predict carbon cycle feedback to climate change. We focus on soil organic carbon (SOC) in the terrestrial ecosystems. There is growing concern that global warming can lead to accelerated microbial decomposition of SOC and enhance the release of CO
from the soil to the atmosphere. Therefore, understanding the response of SOC to global warming is the key to predicting future climate change. Predicting the response of SOC to global warming requires quantitative evaluation of the SOC decomposability. Our approach is the use of 
C analysis to quantify the decomposability of SOC as a complex of SOC pools characterized by their carbon stocks and specific mean residence times (MRTs). We also introduce a unique methodology using the nuclear test-derived C in the analysis. We aim to expand this study into global scale with the collaboration between FNCA member countries.
