Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites

Author

Migliavacca, Mirco

Reichstein, Markus

Richardson, Andrew D.

Colombo, Roberto

Sutton, Mark A.

Lasslop, Gitta

Tomelleri, Enrico

Wohlfahrt, Georg

Carvalhais, Nuno

Cesatti, Alessandro

Mahecha, Miguel D.

Montagnani, Leonardo

Papale, Dario

Zaehle, Sönke

Arain, Altaf

Arneth, Almut

Black, Andrew

Carrara, Arnaud

Dore, Sabina

Gianelle, Damiano

Helfter, Carole

Hollinger, David

Kutsch, Werner L.

Lafleur, Peter M.

Nouvellon, Yann

Rebmann, Corinna

Da Rocha, Humberto R.

Rodeghiero, Mirco

Roupsard, Olivier

Sebastià, Ma. T.

Seufert, Guenther

Soussana, Jean- Françoise

Publication date

2016-12-12T10:15:39Z

2025-01-01

2011



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 Tref515 1C, without stimulation introduced by photosynthetic activity and without water limitations), with a statistically significant linear relationship (r250.52, Po0.001, n5104) 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 forests a negative control of total nitrogen deposition (Ndepo) on reference respiration was also identified. We developed a new semiempirical 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 470% 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.


This work is the outcome of the La Thuile FLUXNET Workshop 2007, which would not have been possible without the financial support provided by CarboEuropeIP, FAO-GTOS-TCO, iLEAPS, Max Planck Institute for Biogeochemistry, National Science Foundation, University of Tuscia and the US Department of Energy.

Document Type

article
publishedVersion

Language

English

Subjects and keywords

Ecosystem respiration; Eddy covariance; Fluxnet

Publisher

Blackwell Publishing Ltd

Related items

Reproducció del document publicat a https://doi.org/10.1111/j.1365-2486.2010.02243.x

Global Change Biology, 2011, vol. 17, núm. 1, p. 390-409

Rights

(c) Blackwell Publishing Ltd, 2010

This item appears in the following Collection(s)