Interannual and seasonal variations in carbon exchanges over an alpine meadow in the northeastern edge of the Qinghai-Tibet Plateau, China

PLoS One. 2020 Feb 11;15(2):e0228470. doi: 10.1371/journal.pone.0228470. eCollection 2020.

Abstract

The alpine meadow is highly sensitive to global climate change due to its high elevation and cold environment. To understand the dynamics of ecosystem carbon cycling, CO2 fluxes were measured over the Suli alpine meadow, which is located at the upper reach of the Shule River basin at the northeastern edge of the Qinghai-Tibet Plateau (QTP), China. The measurements were taken from October 2008 to September 2012 using the eddy covariance technique. Obvious seasonal and inter-annual variations were observed in the CO2 flux. The annual net carbon exchange ranged from -195.28 g·CO2·m-2 to -118.49 g·CO2·m-2, indicating that the alpine meadow ecosystem in this area played a role as a carbon sink. The inter-annual variability in the net carbon exchange was significantly related to the length of the growing season for the alpine meadow. The results showed that the months of June, July and August were the strongest CO2 absorption periods, while April, May and October were the strongest CO2 release periods. The annual net exchanges of CO2 in the four years were -118.49 g·CO2·m-2, -130.75 g·CO2·m-2, -195.83 g·CO2·m-2 and -160.65 g·CO2·m-2, and the average value was -151.43 g·CO2·m-2. On a seasonal scale, the monthly CO2 fluxes were largely controlled by temperature. At the annual scale, there was no dominant factor that influenced the interannual variations in the CO2 flux.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbon / pharmacokinetics*
  • Carbon Cycle / physiology*
  • Carbon Dioxide / analysis
  • Carbon Sequestration / physiology
  • China
  • Climate Change*
  • Ecosystem
  • Grassland*
  • Humans
  • Rivers / chemistry
  • Seasons
  • Soil / chemistry
  • Temperature
  • Tibet
  • Time Factors

Substances

  • Soil
  • Carbon Dioxide
  • Carbon

Grants and funding

This work was funded by the Strategic Priority Research Program of the Chinese Academy of Sciences, Grant No. XDA23060702 to YD; the National Natural Science Foundation of China, Grant No. 41771084 to JW, and Grant No. 41971094 to MX; and the CRSRI Open Research Program, Program SN: CKWV2017534/KY to JW. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.