Back to Search Start Over

Belowground carbon responses to experimental warming regulated by soil moisture change in an alpine ecosystem of the Qinghai-Tibet Plateau.

Authors :
Xue, Xian
Peng, Fei
You, Quangang
Xu, Manhou
Dong, Siyang
Source :
Ecology & Evolution (20457758). Sep2015, Vol. 5 Issue 18, p4063-4078. 16p.
Publication Year :
2015

Abstract

Recent studies found that the largest uncertainties in the response of the terrestrial carbon cycle to climate change might come from changes in soil moisture under the elevation of temperature. Warming-induced change in soil moisture and its level of influence on terrestrial ecosystems are mostly determined by climate, soil, and vegetation type and their sensitivity to temperature and moisture. Here, we present the results from a warming experiment of an alpine ecosystem conducted in the permafrost region of the Qinghai-Tibet Plateau using infrared heaters. Our results show that 3 years of warming treatments significantly elevated soil temperature at 0-100 cm depth, decreased soil moisture at 10 cm depth, and increased soil moisture at 40-100 cm depth. In contrast to the findings of previous research, experimental warming did not significantly affect NH4+-N, NO3−-N, and heterotrophic respiration, but stimulated the growth of plants and significantly increased root biomass at 30-50 cm depth. This led to increased soil organic carbon, total nitrogen, and liable carbon at 30-50 cm depth, and increased autotrophic respiration of plants. Analysis shows that experimental warming influenced deeper root production via redistributed soil moisture, which favors the accumulation of belowground carbon, but did not significantly affected the decomposition of soil organic carbon. Our findings suggest that future climate change studies need to take greater consideration of changes in the hydrological cycle and the local ecosystem characteristics. The results of our study will aid in understanding the response of terrestrial ecosystems to climate change and provide the regional case for global ecosystem models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20457758
Volume :
5
Issue :
18
Database :
Academic Search Index
Journal :
Ecology & Evolution (20457758)
Publication Type :
Academic Journal
Accession number :
109992244
Full Text :
https://doi.org/10.1002/ece3.1685