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|Title:||Semi-Empirical Modeling of Abiotic and Biotic Factors Controlling Ecosystem Respiration Across Eddy Covariance Sites|
|Authors:||MIGLIAVACCA Mirco; REICHSTEIN Markus; RICHARDSON Andrew; COLOMBO Roberto; SUTTON Mark; LASSLOP Gitta; TOMELLERI Enrico; WOHLFAHRT Georg; CARVALHAIS Nuno; CESCATTI Alessandro; MAHECHA Miguel D.; MONTAGNANI Leonardo; PAPALE Dario; ZAEHLE Sonke; ARAIN Altaf; ARNETH Almut; BLACK Andrew; CARRARA Arnaud; DORE Sabina; GIANELLE Damiano; HELFTER Carole; HOLLINGER David; KUTSCH Werner L.; LAFLEUR Peter M.; NOUVELON Yann; REBMANN Corinna; ROCHA Humberto; RODEGHIERO Mirco; ROUPSARD Olivier; SEBASTIÀ Maria-Teresa; SEUFERT Guenther; SOUSSANA Jean-Fracoise; VAN DER MOLEN Michiel K.|
|Citation:||GLOBAL CHANGE BIOLOGY vol. 17 no. 1 p. 390-409|
|Type:||Articles in periodicals and books|
|Abstract:||Abstract In this study we examined ecosystem respiration (RECO) data from 104 sites belonging to FLUXNET, the global network of eddy covariance flux measurements. The goal was to identify the main factors involved in the variability of RECO: temporally and between sites as affected by climate, vegetation structure and plant functional type (PFT) (evergreen needleleaf, grasslands, etc.). We demonstrated that a model using only climate drivers as predictors of RECO failed to describe part of the temporal variability in the data and that the dependency on gross primary production (GPP) needed to be included as an additional driver of RECO. The maximum seasonal leaf area index (LAIMAX) had an additional effect that explained the spatial variability of reference respiration (the respiration at reference temperature Tref=15°C, without stimulation introduced by photosynthetic activity and without water limitations), with a statistically significant linear relationship (r2=0.52, p<0.001, n=104) even within each PFT. Besides LAIMAX, we found that reference respiration may be explained partially by total soil carbon content (SoilC). For undisturbed temperate and boreal forest a negative control of total nitrogen deposition (Ndepo) on reference respiration was also identified. We developed a new semi-empirical model incorporating abiotic factors (climate), recent productivity (daily GPP), general site productivity and canopy structure (LAIMAX) which performed well in predicting the spatio-temporal variability of RECO, explaining >70% of the variance for most vegetation types. Exceptions include tropical and Mediterranean broadleaf forests and deciduous broadleaf forests. Part of the variability in respiration that could not be described by our model may be attributed to a series of factors, including phenology in deciduous broadleaf forests and management practices in grasslands and croplands.|
|JRC Institute:||Sustainable Resources|
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