Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits

[en] The aim of this study was to systematically analyze the potential and limitations of using plant functional trait observations from global databases versus in situ data to improve our understanding of vegetation impacts on ecosystem functional properties (EFPs). Using ecosystem photosynthetic capacity as an example, we first provide an objective approach to derive robust EFP estimates from gross primary productivity (GPP) obtained from eddy covariance flux measurements. Second, we investigate the impact of synchronizing EFPs and plant functional traits in time and space to evaluate their relationships, and the extent to which we can benefit from global plant trait databases to explain the variability of ecosystem photosynthetic capacity. Finally, we identify a set of plant functional traits controlling ecosystem photosynthetic capacity at selected sites. Suitable estimates of the ecosystem photosynthetic capacity can be derived from light response curve of GPP responding to radiation (photosynthetically active radiation or absorbed photosynthetically active radiation). Although the effect of climate is minimized in these calculations, the estimates indicate substantial interannual variation of the photosynthetic capacity, even after removing site-years with confounding factors like disturbance such as fire events. The relationships between foliar nitrogen concentration and ecosystem photosynthetic capacity are tighter when both of the measurements are synchronized in space and time. When using multiple plant traits simultaneously as predictors for ecosystem photosynthetic capacity variation, the combination of leaf carbon to nitrogen ratio with leaf phosphorus content explains the variance of ecosystem photosynthetic capacity best (adjusted R2 = 0.55). Overall, this study provides an objective approach to identify links between leaf level traits and canopy level processes and highlights the relevance of the dynamic nature of ecosystems. Synchronizing measurements of eddy covariance fluxes and plant traits in time and space is shown to be highly relevant to better understand the importance of intra- and interspecific trait variation on ecosystem functioning. © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Disciplines :

Earth sciences & physical geography

Author, co-author :

Musavi, T.; Max Planck Institute for Biogeochemistry, Jena, Germany

Migliavacca, M.; Max Planck Institute for Biogeochemistry, Jena, Germany

van de Weg, M. J.; Amsterdam Global Change Institute, VU University Amsterdam, Amsterdam, Netherlands

Kattge, J.; Max Planck Institute for Biogeochemistry, Jena, Germany, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany

Wohlfahrt, G.; Institute of Ecology, University of Innsbruck, Innsbruck, Austria

van Bodegom, P. M.; Institute of Environmental Sciences, Leiden University, Leiden, Netherlands

Reichstein, M.; Max Planck Institute for Biogeochemistry, Jena, Germany, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany

Bahn, M.; Institute of Ecology, University of Innsbruck, Innsbruck, Austria

Carrara, A.; Mediterranean Center for Environmental Studies (Foundation CEAM), Valencia, Spain

Domingues, T. F.; FFCLRP-USP, Ribeirão Preto, Brazil

More authors (25 more)

Language :

English

Title :

Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits

Publication date :

2016

Journal title :

Ecology and Evolution

eISSN :

2045-7758

Publisher :

John Wiley and Sons Ltd

Volume :

Issue :

Pages :

7352-7366

Peer reviewed :

Peer Reviewed verified by ORBi

European Projects :

H2020 - 640176 - BACI - Detecting changes in essential ecosystem and biodiversity properties – towards a Biosphere Atmosphere Change Index: BACI

Name of the research project :

TRY initiative on plant traits; National Sustainability Program I (NPU I), grant number LO1415

Funders :

UE - Union Européenne [BE]
Max Planck Institute for Biogeochemistry
Ministry of Education, Youth and Sports of Czech Republic
CarboEuropeIP
NSF - National Science Foundation [US-VA]
CE - Commission Européenne [BE]

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