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

Autor: Musavi, Talie, Migliavacca, Mirco, van de Weg, Martine Janet, Kattge, Jens, Wohlfahrt, Georg, van Bodegom, Peter M, Reichstein, Markus, Bahn, Michael, Carrara, Arnaud, Domingues, Tomas F, Gavazzi, Michael, Gianelle, Damiano, Gimeno, Cristina, Granier, André, Gruening, Carsten, Havránková, Kateřina, Herbst, Mathias, Hrynkiw, Charmaine, Kalhori, Aram, Kaminski, Thomas, Klumpp, Katja, Kolari, Pasi, Longdoz, Bernard, Minerbi, Stefano, Montagnani, Leonardo, Moors, Eddy, Oechel, Walter C, Reich, Peter B, Rohatyn, Shani, Rossi, Alessandra, Rotenberg, Eyal, Varlagin, Andrej, Wilkinson, Matthew, Wirth, Christian, Mahecha, Miguel D
Přispěvatelé: Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Amsterdam Global Change Inst, University of Amsterdam [Amsterdam] (UvA), German Centre for Integrative Biodiversity Research, Max-Planck-Institut für Biogeochemie (MPI-BGC), University of Innsbruck, Leiden Univ, Inst Environm Sci, Leiden University, German Ctr Integrat Biodivers Res IDiv, Fondation CEAM, Mediterranean Center for Environmental Studies, FFCLRP-USP, Eastern Forest Environmental Threat Assessment Center (EFETAC), United States Department of Agriculture (USDA), Foxlab Joint CNR-FEM Initiative, Fondazione Edmund Mach di San Michele all'Adige = Edmund Mach Foundation of San Michele all'Adige, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Joint Res Ctr, Inst Environm & Sustainabil, European Commission, Global Change Research Institute of the Czech Academy of Sciences (GCRI), Johann Heinrich von Thunen Inst, Federal Research Institute for Rural Areas, Forestry and Fisheries, 15National Hydrology Research Centre (NHRC), Dept Biol, University of Antwerp (UA), The Inversion Lab, UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Institut National de la Recherche Agronomique (INRA), Dept Phys (OFS OPTICS), University of Florida [Gainesville] (UF), Provincia Autonoma di Bolzano Servizi Forestali, Free University of Bozen-Bolzano, Netherlands, Alterra Green World Research (ALTERRA), School of Environment, Earth and Ecosystem Sciences [Milton Keynes], Faculty of Science, Technology, Engineering and Mathematics [Milton Keynes], The Open University [Milton Keynes] (OU)-The Open University [Milton Keynes] (OU), San Diego State University (SDSU), Hawkesbury Institute for the Environment [Richmond] (HIE), Western Sydney University, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Department of Earth and Planetary Science [Rehovot], Weizmann Institute of Science [Rehovot, Israël], The Hebrew University of Jerusalem (HUJ), Russian Academy of Agricultural Sciences (RAAS), Forest Res, Environm & Human Sci Div, Farnham, Surrey, England, Forest Research, Alice Holt Lodge, Universität Leipzig [Leipzig], Department of Physics, Ecosystem processes (INAR Forest Sciences), Micrometeorology and biogeochemical cycles, University of Amsterdam, USDA, 8Eastern Forest Environmental Threat Assessment Center, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), University of Florida [Gainesville], The Open University [Milton Keynes] (OU), Western Sydney University (UWS), University of Minnesota [Twin Cities], Weizmann Institute of Science
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Biodiversité et Ecologie
[SDE.MCG]Environmental Sciences/Global Changes
CROSS-BIOME ANALYSIS
FLUXNET
traitement des plantes
ecosystem functional property
eddy covariance
interannual variability
photosynthetic capacity
plant traits
spatiotemporal variability
TRY database
Eddy covariance
Ecosystem functional property
114 Physical sciences
variabilité interannuelle
Biodiversity and Ecology
CARBON-DIOXIDE
Interannual variability
WIDE-RANGE
ENVIRONMENTAL VARIATION
Settore BIO/07 - ECOLOGIA
NUTRIENT CONCENTRATIONS
Milieux et Changements globaux
TERRESTRIAL BIOSPHERE
1172 Environmental sciences
Original Research
Plant traits
4112 Forestry
food and beverages
GROSS PRIMARY PRODUCTION
FOREST PRODUCTIVITY
Climate Resilience
Photosynthetic capacity
Klimaatbestendigheid
Spatiotemporal variability
capacité photosynthétique
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
RELATIVE GROWTH-RATE
variabilité spatio temporelle
Zdroj: Ecology and Evolution
Ecology and Evolution, Wiley Open Access, 2016, 6 (20), pp.7352-7366. ⟨10.1002/ece3.2479⟩
Ecology and Evolution 6 (2016) 20
Ecology and Evolution, 6(20), 7352–7366
Ecology and Evolution, 6(20), 7352-7366
Ecology and Evolution 20 (6), 7352-7366. (2016)
ISSN: 2045-7758
DOI: 10.1002/ece3.2479⟩
Popis: 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 R-2 = 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.
Databáze: OpenAIRE
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