Stomatal conductance, leaf greenness, and height of species in the Jena-Ecotron experiment

DOI

This dataset contains stomatal conductance, leaf greenness, and height of species in the Jena-Ecotron Experiment in 2012. This experiment was conducted in the Montpellier European Ecotron (CNRS, France), an advanced controlled environment facility for ecosystem research, and aimed at understanding the impact of plant species richness (4 vs. 16 species) for ecosystem carbon and water fluxes.The soil monoliths used in this experiment contained plant communities originating from the long- term Jena Experiment (50°57.1' N, 11°37.5' E, 130 m above sea level; mean annual temperature 9.3°C, mean annual precipitation 587 mm) established in May 2002. Twelve plots were selected for the Jena-Ecotron study according to the following criteria: (1) the four functional groups grasses, legumes, small and tall herbs were present, (2) realized species numbers were close to sown species richness, and (3) plots were equally distributed across the experimental field site to account for different soil textures. Large monoliths (2 m² surface area, diameter of 1.6 m, 2 m depth with a weight of 7 to 8 tons) including intact soil and vegetation were excavated in December 2011 and placed in lysimeters. In March 2012, before the start of the vegetation growth, the lysimeters were transported and installed in the Macrocosms platform of the Montpellier European Ecotron.Stomatal conductance (gs, mmol/m²/s) was measured with a portable leaf porometer (SC-1 Leaf porometer, Decagon Devices, Pullman, USA). Measurements were done in the auto mode using the first 30 s of stomatal conductance data to predict the final stomatal conductance under true steady state conditions. Leaf greenness (SPAD; unitless), an estimate of chlorophyll concentrations, was obtained by measuring the absorption of two different wavelength (650 nm and 940 nm) with a portable chlorophyll meter (SPAD-502; Konica-Minolta, Osaka, Japan). The growth height of three shoots (Ind h; cm) per species and unit was measured with a ruler. Values of stomatal conductance, leaf greenness and growth height of the individual measurements were averaged per species per plot.

There are two types of missing values contained in datasets from the Jena Experiment. Empty cells represent missing values that result from the design of the experiment. Empty cells result when the respective value does not occur in the design and could thus not be measured. For example, in the case of species-specific biomass cells are left blank, when the species was not sown in the respective plot. Missing values that resulted from methodological problems, sampling errors, or lost samples/data are marked with "-9999".This dataset is part of a collection of measurements of the Jena-Ecotron Experiment, which was part of the Jena Experiment.

Identifier
DOI https://doi.org/10.1594/PANGAEA.877650
Related Identifier https://doi.org/10.1594/PANGAEA.877687
Related Identifier https://doi.org/10.1111/1365-2435.12948
Related Identifier https://doi.org/10.1890/15-1110.1
Related Identifier https://doi.org/10.1111/ele.12243
Related Identifier https://store.pangaea.de/Publications/Jena_Experiment/PlotInformationMainExperiment.txt
Related Identifier https://store.pangaea.de/Publications/Jena_Experiment/TreatmentDefinitionsJuly2012.pdf
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.877650
Provenance
Creator Bachmann, Dörte ORCID logo; Guderle, Marcus ORCID logo; Roscher, Christiane; Milcu, Alexandru ORCID logo; Buchmann, Nina ORCID logo; Roy, Jacques ORCID logo
Publisher PANGAEA
Publication Year 2017
Rights Creative Commons Attribution 3.0 Unported; https://creativecommons.org/licenses/by/3.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 7476 data points
Discipline History; Humanities
Spatial Coverage (11.611 LON, 50.946 LAT); Thuringia, Germany
Temporal Coverage Begin 2012-07-17T00:00:00Z
Temporal Coverage End 2012-07-19T17:00:00Z