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    PANGAEA
    In:  Supplement to: Guderle, Marcus; Bachmann, Dörte; Milcu, Alexandru; Gockele, Annette; Bechmann, Marcel; Fischer, Christine; Roscher, Christiane; Landais, Damien; Ravel, Olivier; Devidal, Sébastien; Roy, Jacques; Gessler, Arthur; Buchmann, Nina; Weigelt, Alexandra; Hildebrandt, Anke (2017): Dynamic niche partitioning in root water uptake facilitates efficient water use in more diverse grassland plant communities. Functional Ecology, https://doi.org/10.1111/1365-2435.12948
    Publication Date: 2023-06-24
    Description: This data set contains environmental variables (imposed cumulative precipitation, measurements of radiation, air relative humidity and air temperature), measurements of soil water content, root water uptake estimated from soil moisture contents and community evapotranspiration derived from root water uptake as well as from weight changes, plant trait data (specific leaf area, leaf dry matter content, leaf water potential measured at predawn and midday, stomatal conductance, leaf greenness, height of species, aboveground biomass, species abundances, community leaf area index, vegetation and soil surface cover) and root trait data (biomass, length, diameter, surface area, tips, forks and crossings) from the 12 macrocosms used 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. These data were used to investigate the characteristics of root water uptake profiles in grassland plant communities with different species richness (4-species and 16-species mixtures) and productivity to gain a deeper understanding of how plant species richness affects efficient use of available soil water.
    Keywords: Jena-Ecotron Experiment; JenExp; The Jena Experiment
    Type: Dataset
    Format: application/zip, 12 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-03-19
    Description: This dataset contains root traits (biomass, length, diameter, surface area, tips, forks and crossings) 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. Three soil cores (diameter 3.5 cm) were sampled to 60 cm depth in each plot. Each core was divided into six layers (0-5, 5-10, 10-20, 20-30, 30-40 and 40-60 cm). The respective layers were pooled per plot, and washed with tap water over a sieve (mesh size 200 µm) to separate roots from soil. Cleaned roots were weighed and a subsample of the fresh roots (approx. 2 g) was stored in 70 % ethanol before it was dyed (with neutral red solution) and scanned (Scanner Optical STD4800 Regent Instruments Inc. with top light unit and an image resolution of 600 dpi). Root length density and root surface area were estimated with WinRhizo (Reg 2009c, Regents Instruments Inc.). The smooth off area of WinRhizo was set to 0.0001 and the length-width ratio to 3.0. Belowground biomass was estimated as described above but the samples were then dried at 65°C for three days.
    Keywords: Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena-Ecotron Experiment; Jena Experiment 2012; JenExp; JenExp_2012; Root, biomass belowground; Root, length per volume soil; Root, specific length; Root, surface area per volume soil; Root, volume per volume soil; Root diameter, average; Root trait of crossings; Root trait of forks; Root trait of tips; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Type: Dataset
    Format: text/tab-separated-values, 1944 data points
    Location Call Number Limitation Availability
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