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Wagg, Cameron; Ebeling, Anne; Roscher, Christiane; Ravenek, Janneke; Bachmann, Dörte; Eisenhauer, Nico; Mommer, Liesje; Buchmann, Nina; Hillebrand, Helmut; Schmid, Bernhard; Weisser, Wolfgang W (2017): Aboveground species-specific plant biomass from the Jena Trait Based Experiment (year 2012) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.876725, In supplement to: Wagg, C et al. (2017): Functional trait dissimilarity drives both species complementarity and competitive disparity. Functional Ecology, 31(12), 2320-2329, https://doi.org/10.1111/1365-2435.12945

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Abstract:
This data set contains aboveground plant biomass (Sown plant species, Weed plant biomass, the biomass of dead plant material, and the biomass of unidentified plant material) per plots collected in 2012 from a grassland trait diversity experiment (the Jena Trait Based Experiment). The experiment consists of 20 plant species that were assigned to one of three species pools: 1. Species that vary along a gradient of spatial leaf and root trait similarity, 2. Species that vary along a gradient of phenological trait similarity and 3. Species that vary along a gradient of both spatial and phenological similarity (see Ebeling et al. 2014). The experiment consists of 138 grassland plots 3 x 3 m in size that was established within the Jena Experiment, Germany, in 2011. Plots vary in plant species richness (1, 2, 4, or 8 species) and functional diversity (1, 2, 3, 4 functional diversity levels, where 1 indicates species are most similar and 4 being most dissimilar in functional traits). Plots were maintained by manual weeding in March, July and September. Biomass was harvested twice in 2012 (during peak standing biomass in late May and in late August) on all experimental plots. Plots were mown to the same height directly following biomass harvest. Plant biomass was harvested by clipping the vegetation at 3 cm above ground in two 0.2 x 0.5 m quadrats per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. the central 10 x 15 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: individual species of the sown plant species, 'Weed' plant species (species not sown in a plot), detached 'Dead' plant material, and remaining plant material that could not be assigned to any category ('Rest'). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data from individual quadrats were averaged.
Related to:
Ebeling, Anne; Pompe, Sven; Baade, Jussi; Eisenhauer, Nico; Hillebrand, Helmut; Proulx, J F; Roscher, Christiane; Schmid, Bernhard; Wirth, Christian; Weisser, Wolfgang W (2014): A trait-based experimental approach to understand the mechanisms underlying biodiversity–ecosystem functioning relationships. Basic and Applied Ecology, 15(3), 229-240, https://doi.org/10.1016/j.baae.2014.02.003
Project(s):
Coverage:
Latitude: 50.946100 * Longitude: 11.611300
Date/Time Start: 2012-01-01T00:00:00 * Date/Time End: 2012-12-31T00:00:00
Event(s):
JenExp_2012 (Jena Experiment 2012) * Latitude: 50.946100 * Longitude: 11.611300 * Date/Time Start: 2012-01-01T00:00:00 * Date/Time End: 2012-12-31T00:00:00 * Location: Thuringia, Germany * Method/Device: Experiment (EXP)
Comment:
In plots where species were not sown the entry is blank and missing values are indicated by -9999.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1PlotPlotWagg, Cameron
2MonthMonthWagg, Cameron
3Functional diversitywFDcWagg, CameronPre-designed functional diversity level
4Number of speciesSpec No#Wagg, Cameronsown in the plot
5Species PoolSpecies PoolWagg, Cameronspecies pool from which the plot was sown
6BlockBlockWagg, Cameron
7Weeds plant community, biomass as dry weightWeeds biomg/m2Wagg, Cameron
8Unidentified plant material, biomass as dry weightUnid plant mat biomg/m2Wagg, Cameron
9Dead plant material, biomass as dry weightDead plant mat biomg/m2Wagg, Cameron
10Anthoxanthum odoratum, biomass as dry weightA. odoratum biomg/m2Wagg, Cameron
11Anthriscus sylvestris, biomass as dry weightA. sylvestris biomg/m2Wagg, Cameron
12Avenula pubescens, biomass as dry weightA. pubescens biomg/m2Wagg, Cameron
13Centaurea jacea, biomass as dry weightC. jacea biomg/m2Wagg, Cameron
14Cirsium oleraceum, biomass as dry weightC. oleraceum biomg/m2Wagg, Cameron
15Dactylis glomerata, biomass as dry weightD. glomerata biomg/m2Wagg, Cameron
16Festuca rubra, biomass as dry weightF. rubra biomg/m2Wagg, Cameron
17Geranium pratense, biomass as dry weightG. pratense biomg/m2Wagg, Cameron
18Glechoma hederacea, biomass as dry weightG. hederacea biomg/m2Wagg, Cameron
19Holcus lanatus, biomass as dry weightH. lanatus biomg/m2Wagg, Cameron
20Knautia arvensis, biomass as dry weightK. arvensis biomg/m2Wagg, Cameron
21Leucanthemum vulgare, biomass as dry weightL. vulgare biomg/m2Wagg, Cameron
22Phleum pratense, biomass as dry weightP. pratense biomg/m2Wagg, Cameron
23Plantago lanceolata, biomass as dry weightP. lanceolata biomg/m2Wagg, Cameron
24Poa pratensis, biomass as dry weightP. pratensis biomg/m2Wagg, Cameron
25Prunella vulgaris, biomass as dry weightP. vulgaris biomg/m2Wagg, Cameron
26Ranunculus acris, biomass as dry weightR. acris biomg/m2Wagg, Cameron
27Rumex acetosa, biomass as dry weightR. acetosa biomg/m2Wagg, Cameron
28Sanguisorba officinalis, biomass as dry weightS. officinalis biomg/m2Wagg, Cameron
29Veronica chamaedrys, biomass as dry weightV. chamaedrys biomg/m2Wagg, Cameron
Size:
3204 data points

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