Evaluating the convergence between eddy-covariance and biometric methods for assessing carbon budgets of forests
Campioli, Matteo (Universiteit Antwerpen. Departement Biologie)
Malhi, Yadvinder (University of Oxford. Environmental Change Institute)
Vicca, Sara (Universiteit Antwerpen. Departement Biologie)
Luyssaert, Sebastiaan (Laboratoire des Sciences du Climat et de l'Environment)
Papale, D. (Università degli studi della Tuscia. Dipartimento per l'Innovazione dei sistemi biologici, agroalimentari e forestali)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Reichstein, M. (Max Planck Institute for Biogeochemistry)
Migliavacca, Mirco (Max Planck Institute for Biogeochemistry)
Arain, M. Altaf (McMaster University. School of Geography & Earth Sciences)
Janssens, Ivan (Universiteit Antwerpen. Departement Biologie)

Data:	2016
Resum:	The eddy-covariance (EC) micro-meteorological technique and the ecology-based biometric methods (BM) are the primary methodologies to quantify CO₂ exchange between terrestrial ecosystems and the atmosphere (net ecosystem production, NEP) and its two components, ecosystem respiration and gross primary production. Here we show that EC and BM provide different estimates of NEP, but comparable ecosystem respiration and gross primary production for forest ecosystems globally. Discrepancies between methods are not related to environmental or stand variables, but are consistently more pronounced for boreal forests where carbon fluxes are smaller. BM estimates are prone to underestimation of net primary production and overestimation of leaf respiration. EC biases are not apparent across sites, suggesting the effectiveness of standard post-processing procedures. Our results increase confidence in EC, show in which conditions EC and BM estimates can be integrated, and which methodological aspects can improve the convergence between EC and BM.
Ajuts:	European Commission 242564 European Commission 321131 European Commission 610028
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Carbon cycle ; Ecosystem ecology
Publicat a:	Nature communications, Vol. 7, art. 13717 (Dec. 2016) , ISSN 2041-1723

DOI: 10.1038/ncomms13717
PMID: 27966534

12 p, 401.6 KB

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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
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