Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model

0506071 - ÚVGZ 2020 RIV GB eng J - Článek v odborném periodiku
Peaucelle, M. - Bacour, C. - Ciais, P. - Vuichard, N. - Kuppel, S. - Peňuelas, J. - Marchesini, L. B. - Blanken, P. D. - Buchmann, N. - Chen, J. - Delpierre, N. - Desai, A. R. - Dufrene, E. - Gianelle, D. - Gimeno-Colera, C. - Gruening, C. - Helfter, C. - Hörtnagl, L. - Ibrom, A. - Joffre, R. - Kato, T. - Kolb, T.E. - Law, B. - Lindroth, A. - Mammarella, I. - Merbold, L. - Minerbi, S. - Montagnani, L. - Šigut, Ladislav - Sutton, M. - Varlagin, A. - Vesala, T. - Wohlfahrt, G. - Wolf, S. - Yakir, D. - Viovy, N.
Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model.
Global Ecology and Biogeography. Roč. 1, jun (2019), s. 1-15. ISSN 1466-822X. E-ISSN 1466-8238
Grant CEP: GA MŠMT(CZ) LO1415
Výzkumná infrastruktura: CzeCOS II - 90061
Institucionální podpora: RVO:86652079
Klíčová slova: data assimilation * optimization * orchidee * plant acclimation * plant functional traits * terrestrial model
Obor OECD: Plant sciences, botany
Impakt faktor: 6.446, rok: 2019
Způsob publikování: Omezený přístup
https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.12937

Aim: The mechanisms of plant trait adaptation and acclimation are still poorly un‐ derstood and, consequently, lack a consistent representation in terrestrial biosphere models (TBMs). Despite the increasing availability of geo‐referenced trait obser‐ vations, current databases are still insufficient to cover all vegetation types and environmental conditions. In parallel, the growing number of continuous eddy‐co‐ variance observations of energy and CO2 fluxes has enabled modellers to optimize TBMs with these data. Past attempts to optimize TBM parameters mostly focused on model performance, overlooking the ecological properties of ecosystems. The aim of this study was to assess the ecological consistency of optimized trait‐related parameters while improving the model performances for gross primary productivity (GPP) at sites. Results: The optimized parameter values were shown to be consistent with leaf‐scale traits, in particular, with well‐known trade‐offs observed at the leaf level, echoing the leaf economic spectrum theory. Results showed a marked sensitivity of trait‐related parameters to local bioclimatic variables and reproduced the observed relationships between traits and climate. Main conclusions: Our approach validates some biological processes implemented in the model and enables us to study ecological properties of vegetation at the canopy level, in addition to some traits that are difficult to observe experimentally. This study stresses the need for: (a) implementing explicit trade‐offs and acclimation processes in TBMs, (b) improving the representation of processes to avoid model‐specific pa‐ rameterization, and (c) performing systematic measurements of traits at FLUXNET sites in order to gather information on plant ecophysiology and plant diversity, to‐ gether with micro‐meteorological conditions.
Trvalý link: http://hdl.handle.net/11104/0297375