Responses of aboveground litterfall respiration to unexpected snowfall events in Ailao subtropical forests in Southwest China
2023
Phyo, Zayar | Zhou, Wenjun | Song, Qinghai | Wu, Chuansheng | Liang, Naishen | Yi, Yanyun | Chen, Lijuan | Zeeshan, Mohd | Myo, Sai Tay Zar | Lu, Zhiyun | Sha, Liqing | Zhang, Yiping
Soil respiration, the second largest CO₂ flux in terrestrial ecosystems, involves the microbial respiration of litter from aboveground sources, belowground litter and root respiration, from rhizodeposition. In the subtropical forests of the Ailao Mountain, a chamber with automated CO₂ efflux was set up with two treatments: a control treatment with litterfall to measure the total soil respiration (RT) and a litter removal treatment to measure aboveground litterfall respiration (RL). This study aimed to examine the responses of RL to unexpected heavy snowfall events and soil temperature (ST), soil moisture (SM), rainfall (RF), total litterfall (TL), litter water content (LWC), nitrate nitrogen (NO₃⁻-N), and ammonium nitrogen (NH₄⁺-N). The period of the study was divided into two: before the heavy snowfall event (BS) and during and after the heavy snowfall event (AS). The rate of RL was slightly decreased in AS (1.18 ± 0.03 μmol CO₂ m⁻² s⁻¹) compared with that in BS (1.19 ± 0.02 μmol CO₂ m⁻² s⁻¹). The relationships between RL and ST, SM, RF, and LWC, respectively, were all statistically significant (p < 0.05) in both periods. However, the relationships between RL and TL and NH₄⁺-N, respectively, were not statistically significant for either period. The relationship between RL and NO₃⁻-N was statistically significant for AS but not for BS. The relationship between RL and RF was statistically significant from 2011 to 2018. The temperature dependence of soil respiration was higher in BS than in AS, and the effect of litter removal was 2.55 % and 2.32 % for AS and BS respectively. The results indicate that current global terrestrial models underestimate RL trends for the feedback of global climate change in subtropical forests.
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