alpine peatland
Recently Published Documents


TOTAL DOCUMENTS

24
(FIVE YEARS 17)

H-INDEX

5
(FIVE YEARS 1)

2022 ◽  
Vol 12 ◽  
Author(s):  
Hu Yao ◽  
Haijun Peng ◽  
Bing Hong ◽  
Qian Guo ◽  
Hanwei Ding ◽  
...  

Peatlands are characterized by their large carbon storage capacity and play an essential role in the global carbon cycle. However, the future of the carbon stored in peatland ecosystems under a changing climate remains unclear. In this study, based on the eddy covariance technique, we investigated the net ecosystem CO2 exchange (NEE) and its controlling factors of the Hongyuan peatland, which is a part of the Ruoergai peatland on the eastern Qinghai-Tibet Plateau (QTP). Our results show that the Hongyuan alpine peatland was a CO2 sink with an annual NEE of −226.61 and −185.35 g C m–2 in 2014 and 2015, respectively. While, the non-growing season NEE was 53.35 and 75.08 g C m–2 in 2014 and 2015, suggesting that non-growing seasons carbon emissions should not be neglected. Clear diurnal variation in NEE was observed during the observation period, with the maximum CO2 uptake appearing at 12:30 (Beijing time, UTC+8). The Q10 value of the non-growing season in 2014 and 2015 was significantly higher than that in the growing season, which suggested that the CO2 flux in the non-growing season was more sensitive to warming than that in the growing season. We investigated the multi-scale temporal variations in NEE during the growing season using wavelet analysis. On daily timescales, photosynthetically active radiation was the primary driver of NEE. Seasonal variation in NEE was mainly driven by soil temperature. The amount of precipitation was more responsible for annual variation of NEE. The increasing number of precipitation event was associated with increasing annual carbon uptake. This study highlights the need for continuous eddy covariance measurements and time series analysis approaches to deepen our understanding of the temporal variability in NEE and multi-scale correlation between NEE and environmental factors.


2021 ◽  
Author(s):  
Qian Guo ◽  
Haijun Peng ◽  
Bing Hong ◽  
Hu Yao ◽  
Yongxuan Zhu ◽  
...  

2020 ◽  
Vol 747 ◽  
pp. 141084 ◽  
Author(s):  
Xiaodong Zhang ◽  
Xin Jia ◽  
Haidong Wu ◽  
Jing Li ◽  
Liang Yan ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1165
Author(s):  
Liang Yan ◽  
Xiaodong Zhang ◽  
Haidong Wu ◽  
Enze Kang ◽  
Yong Li ◽  
...  

The Zoige alpine peatlands are one of the highest and largest alpine peatlands in the world and play an important role in the global carbon cycle. Drainage is the main disturbance at Zoige, and the drawdown of the water table level changes CH4 emissions. There is still much uncertainty relating to how CH4 emissions respond to multiple water table levels. Here, we simulated six gradients (−30 cm, −20 cm, −10 cm, 0 cm, 10 cm, and 20 cm) of the water table level through a mesocosm manipulation experiment in the Zoige peatlands. The water table level had a significant effect on CH4 emissions. CH4 emissions did not change with water table levels from −30 cm to −10 cm, but significantly increased as the water table level increased above −10 cm. A significant log-linear relationship (R2 = 0.44, p < 0.001) was found between CH4 emissions and a water table level range from −10 to 20 cm. This study characterized the responses of CH4 emissions to multiple water table levels and provide additional data for accurately evaluating CH4 emissions. The results of this study also have several conservation implications for alpine peatlands.


2020 ◽  
Vol 99 ◽  
pp. 103195
Author(s):  
Zhongqing Yan ◽  
Yong Li ◽  
Haidong Wu ◽  
Kerou Zhang ◽  
Yanbin Hao ◽  
...  

2020 ◽  
Vol 231 (5) ◽  
Author(s):  
Wantong Zhang ◽  
Jinzhi Wang ◽  
Zhengyi Hu ◽  
Yong Li ◽  
Zhongqing Yan ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document