Fersiynau electronig

Dogfennau

  • Eszter Lellei-Kovács
    MTA Centre for Ecological Research, Hungary
  • Zoltan Botta-Dukat
    MTA Centre for Ecological Research, Hungary
  • Giovanbattista de Dato
    University of Tuscia
  • Marc Estiarte
    Global Ecology Unit, Catalonia
  • Gabriele Guidolotti
    University of Tuscia
  • Gillian R. Kopittke
    University of Amsterdam
  • Edit Kovács-Láng
    MTA Centre for Ecological Research, Hungary
  • Gyorgy Kröel-Dulay
    MTA Centre for Ecological Research, Hungary
  • Klaus Steeben Larsen
    University of Copenhagen
  • Josep Penuelas
    Global Ecology Unit, Catalonia
  • Andrew Smith
  • Alwyn Sowerby
  • Albert Tietema
    University of Amsterdam
  • Inger Kappel Scmidt
    University of Copenhagen
Soil respiration (SR) is a major component of the global carbon cycle and plays a fundamental role in ecosystem feedback to climate change. Empirical modelling is an essential tool for predicting ecosystem responses to environmental change, and also provides important data for calibrating and corroborating process-based models. In this study, we evaluated the performance of three empirical temperature–SR response functions (exponential, Lloyd–Taylor and Gaussian) at seven shrublands located within three climatic regions (Atlantic, Mediterranean and Continental) across Europe. We investigated the performance of SR models by including the interaction between soil moisture and soil temperature. We found that the best fit for the temperature functions depended on the site-specific climatic conditions. Including soil moisture, we identified thresholds in the three different response functions that improved the model fit in all cases. The direct soil moisture effect on SR, however, was weak at the annual time scale. We conclude that the exponential soil temperature function may only be a good predictor for SR in a narrow temperature range, and that extrapolating predictions for future climate based on this function should be treated with caution as modelled outputs may underestimate SR. The addition of soil moisture thresholds improved the model fit at all sites, but had a far greater ecological significance in the wet Atlantic shrubland where a fundamental change in the soil CO2 efflux would likely have an impact on the whole carbon budget.
Iaith wreiddiolSaesneg
Tudalennau (o-i)1460-1477
CyfnodolynEcosystems
Cyfrol19
Rhif y cyfnodolyn8
Dyddiad ar-lein cynnar15 Gorff 2016
StatwsCyhoeddwyd - Rhag 2016

Cyfanswm lawlrlwytho

Nid oes data ar gael
Gweld graff cysylltiadau