Scopus: 8 cites, Web of Science: 5 cites,
Temperature dependence of soil respiration modulated by thresholds in soil water availability across European shrubland ecosystems
Lellei-Kovács, Eszter (MTA Ökológiai Kutatóközpont)
Botta-Dukát, Zoltán (MTA Ökológiai Kutatóközpont)
De Dato, Giovanbattista (Università degli studi della Tuscia. Dipartimento per l'Innovazione nei sistemi Biologici, Agroalimentari e Forestali)
Estiarte, Marc (Centre de Recerca Ecològica i Aplicacions Forestals)
Guidolotti, Gabriele (Università degli studi della Tuscia. Dipartimento per l'Innovazione nei sistemi Biologici, Agroalimentari e Forestali)
Kopittke, Gillian R. (Universiteit van Amsterdam. Instituut voor Biodiversiteit en Ecosysteem Dynamica)
Kovács-Láng, Edit (MTA Ökológiai Kutatóközpont)
Kröel-Dulay, György (MTA Ökológiai Kutatóközpont)
Larsen, Klaus Steenberg (Københavns universitet. Institut for Geovidenskab of Naturforvaltning)
Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
Smith, Andrew R. (Centre for Ecology & Hydrology, Oxford)
Sowerby, Alwyn (Centre for Ecology & Hydrology, Oxford)
Tietema, Albert (Universiteit van Amsterdam. Instituut voor Biodiversiteit en Ecosysteem Dynamica)
Schmidt, Inger Kappel (Københavns universitet. Institut for Geovidenskab of Naturforvaltning)

Data: 2016
Resum: 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 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.
Nota: Número d'acord de subvenció EC/FP7/227628
Nota: Número d'acord de subvenció EC/FP7/610028
Nota: Número d'acord de subvenció MINECO/GGL2013/48074-P
Nota: Número d'acord de subvenció AGAUR/2014/SGR-274
Drets: Tots els drets reservats
Llengua: Anglès
Document: article ; recerca ; acceptedVersion
Matèria: Annual soil respiration ; Empirical soil respiration models ; Soil moisture threshold ; Shrubland ; Temperature dependence ; Temperature sensitivity
Publicat a: Ecosystems, Vol. 19, Issue 8 (Dec. 2016) , p. 1460-1477, ISSN 1432-9840

DOI: 10.1007/s10021-016-0016-9


Post-print. Article
27 p, 1.6 MB

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El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
Articles > Articles de recerca
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 Registre creat el 2016-08-05, darrera modificació el 2018-01-25



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