Global apparent temperature sensitivity of terrestrial carbon turnover modulated by hydrometeorological factors

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Fan Naixin - , Juniorprofessur für Umweltfernerkundung, Max Planck Institute for Biogeochemistry (Autor:in)
  • Markus Reichstein - , Max Planck Institute for Biogeochemistry, European Laboratory for Learning and Intelligent Systems (Autor:in)
  • Sujan Koirala - , Max Planck Institute for Biogeochemistry (Autor:in)
  • Bernhard Ahrens - , Max Planck Institute for Biogeochemistry (Autor:in)
  • Miguel D. Mahecha - , Universität Leipzig, Helmholtz-Zentrum für Umweltforschung (UFZ) (Autor:in)
  • Nuno Carvalhais - , Max Planck Institute for Biogeochemistry, European Laboratory for Learning and Intelligent Systems, NOVA University Lisbon (Autor:in)

Abstract

The ecosystem carbon turnover time—an emergent ecosystem property that partly determines the feedback between the terrestrial carbon cycle and climate—is strongly controlled by temperature. However, it remains uncertain to what extent hydrometeorological conditions may influence the apparent temperature sensitivity of τ, defined as the factor by which the carbon turnover time increases with a 10 °C rise in temperature (Q10). Here, we investigate the responses of the ecosystem carbon turnover to temperature and hydrometeorological factors using an ensemble of observation-based global datasets and a global compilation of in situ measurements. We find that temperature and hydrometeorology are almost equally important in shaping the spatial pattern of ecosystem carbon turnover, explaining 60 and 40% of the global variability, respectively. Accounting for hydrometeorological effects puts a strong constraint on Q10 values with a substantial reduction in magnitude and uncertainties, leading Q10 to converge to 1.6 ± 0.1 globally. These findings suggest that hydrometeorological conditions modulate the apparent temperature sensitivity of terrestrial carbon turnover times, confounding the role of temperature in quantifying the response of the carbon cycle to climate change.

Details

OriginalspracheEnglisch
Seiten (von - bis)989-994
Seitenumfang6
FachzeitschriftNature geoscience
Jahrgang15
Ausgabenummer12
PublikationsstatusVeröffentlicht - Dez. 2022
Peer-Review-StatusJa

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