COS 64-8
sPlot and TRY: Characterizing the trait composition of plant communities across the world’s biomes

Wednesday, August 12, 2015: 10:30 AM
322, Baltimore Convention Center
Jens Kattge, Max Planck Institute for Biogeochemistry, Jena, Germany
Jürgen Dengler, University of Bayreuth, Germany
Oliver Purschke, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany
Gerhard Bönisch, Max Planck Institute for Biogeochemistry, Jena, Germany
Helge Bruelheide, Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
Milan Chytrý, Department of Botany and Zoology, Masaryk University, Brno, Czech Republic
Valério D. Pillar, Programa de Pós-graduação em Ecologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Brody Sandel, Aarhus University, Denmark
Sandra Díaz, CONICET - Universidad Nacional de Córdoba, Instituto Multidisciplinario de Biología Vegetal, Córdoba, Argentina
Sandra Lavorel, Laboratoire d'Ecologie Alpine, Université Joseph Fourier, Grenoble, France
I. Colin Prentice, Imperial College, London, England
Paul W. Leadley, Laboratoire Ecologie Systématique Evolution, Université Paris Sud, Orsay, France
Peter B. Reich, Department of Forest Resources, University of Minnesota, St. Paul, MN
Arindam Banerjee, Computer Science and Engineering, University of Minnesota, Minneapolis, MN
Farideh Fazayeli, Computer Science and Engineering, University of Minnesota, Minneapolis, MN
Hanhuai Shan, Computer Science and Engineering, University of Minnesota, Minneapolis, MN
Franziska Schrodt, Max Planck Institute for Biogeochemistry, Jena, Germany
Julia Joswig, Max Planck Institute for Biogeochemistry, Jena, Germany
Christian Wirth, Department of Systematic Botany and Functional Biodiversity, University of Leipzig, Leipzig, Germany
TRY and sPlot Consortium, hosted at iDiv and the Max Planck Institute for Biogeochemistry, Germany
Background/Question/Methods

The trait composition of plant communities is determined by abiotic, biotic and historical factors, but the drivers and patterns of traits and trait-covariation at global scale remain poorly quantified. Such knowledge is crucial for biogeographical and ecological theory and modeling, but also relevant to devise management measures to mitigate effects of climate change.

Results/Conclusions

To address these questions, an iDiv Working Group has established the first global vegetation-plot database (sPlot). sPlot currently contains about 1 million plots from over 50 countries and all biomes, and is steadily growing. The combination with plant traits compiled in the TRY database facilitates characterizing the trait composition of the plant communities. Approx. 70% of the most frequent species in the sPlot plots are represented in the current version of TRY.

We will provide an overview of structure and content of sPlot and TRY in terms of spatial distribution, data properties, trait coverage and gap-filling. First preliminary cross-biome analyses already show clear trends – despite substantial scatter - of community-weighted mean traits, e.g. specific leaf area, with simple environmental drivers, like mean annual temperature. Finally, we will explain next steps and perspectives of the two initiatives.

TRY: https://www.try-db.org/TryWeb/Home.php

sPlot: http://www.idiv-biodiversity.de/de/sdiv/workshops/workshops-2013/splot