4.5 Article

Nongrowing Season CO2 Emissions Determine the Distinct Carbon Budgets of Two Alpine Wetlands on the Northeastern Qinghai-Tibet Plateau

Journal

ATMOSPHERE
Volume 12, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/atmos12121695

Keywords

CO2 fluxes; boosted regression trees; structural equation models; alpine wetlands; Qinghai-Tibet Plateau

Funding

  1. Chinese Academy of Sciences-People's Government of Qinghai Province Joint Grant on Sanjiangyuan National Park Research [LHZX-2020-07, LHZX-2020-08]
  2. project of Economic Development Research Center of National Forestry and Grassland Administration [JYFL-2021-20]
  3. National Key RD Program [2017YFA0604802]
  4. National Natural Science Foundation of China [41877547]
  5. Second Tibetan Plateau Scientific Expedition and Research (STEP) Program [2019QZKK0302]
  6. 2021 first funds for central government to guide local science and technology development in Qinghai Province [2021ZY002]

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The study analyzed CO2 flux data from two alpine wetlands on the Qinghai-Tibet Plateau, indicating that variations in growing season CO2 fluxes were mainly controlled by atmospheric water vapor, while those in the nongrowing season were jointly determined by site attributes and soil temperatures. The results showed that the alpine peatland acted as a net carbon source, while the alpine swampland behaved as a net carbon sink.
Alpine wetlands sequester large amounts of soil carbon, so it is vital to gain a full understanding of their land-atmospheric CO2 exchanges and how they contribute to regional carbon neutrality; such an understanding is currently lacking for the Qinghai-Tibet Plateau (QTP), which is undergoing unprecedented climate warming. We analyzed two-year (2018-2019) continuous CO2 flux data, measured by eddy covariance techniques, to quantify the carbon budgets of two alpine wetlands (Luanhaizi peatland (LHZ) and Xiaobohu swamp (XBH)) on the northeastern QTP. At an 8-day scale, boosted regression tree model-based analysis showed that variations in growing season CO2 fluxes were predominantly determined by atmospheric water vapor, having a relative contribution of more than 65%. Variations in nongrowing season CO2 fluxes were mainly controlled by site (categorical variable) and topsoil temperature (T-s), with cumulative relative contributions of 81.8%. At a monthly scale, structural equation models revealed that net ecosystem CO2 exchange (NEE) at both sites was regulated more by gross primary productivity (GPP), than by ecosystem respiration (RES), which were both in turn directly controlled by atmospheric water vapor. The general linear model showed that variations in nongrowing season CO2 fluxes were significantly (p < 0.001) driven by the main effect of site and T-s. Annually, LHZ acted as a net carbon source, and NEE, GPP, and RES were 41.5 +/- 17.8, 631.5 +/- 19.4, and 673.0 +/- 37.2 g C/(m(2) year), respectively. XBH behaved as a net carbon sink, and NEE, GPP, and RES were -40.9 +/- 7.5, 595.1 +/- 15.4, and 554.2 +/- 7.9 g C/(m(2) year), respectively. These distinctly different carbon budgets were primarily caused by the nongrowing season RES being approximately twice as large at LHZ (p < 0.001), rather than by other equivalent growing season CO2 fluxes (p > 0.10). Overall, variations in growing season CO2 fluxes were mainly controlled by atmospheric water vapor, while those of the nongrowing season were jointly determined by site attributes and soil temperatures. Our results highlight the different carbon functions of alpine peatland and alpine swampland, and show that nongrowing season CO2 emissions should be taken into full consideration when upscaling regional carbon budgets. Current and predicted marked winter warming will directly stimulate increased CO2 emissions from alpine wetlands, which will positively feedback to climate change.

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