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Guderle, Marcus; Milcu, Alexandru; Escpape, Christophe; Landais, Damien; Ravel, Olivier; Roy, Jacques; Hildebrandt, Anke (2017): Evapotranspiration from the Jena-Ecotron experiment (including 12 soil monoliths with 4- and 16-species mixtures in year 2012) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.877381, 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

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Abstract:
This dataset contains community evapotranspiration derived from root water uptake as well as from weight changes 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 from the Jena Experiment 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 from the twelve plots 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.
Ecosystem evapotranspiration (ET) was measured from the lysimeter weight changes to validate the ET estimated with a water balance method. The weight measurements (6 minutes resolution) were smoothed using a moving average over 30 minutes to reduce noise due to the experimental setup (Milcu et al. 2016).
A water balance method was used to estimate daily root water uptake profiles and thus daily ecosystem ET from diurnal fluctuation of soil water content measurements (Guderle & Hildebrandt, 2015; doi:10.5194/hess-19-409-2015). The method consists in applying a running regression over multiple time steps on soil water content time series of each measurement depth. Here we used measurements with a temporal resolution of 1 minute from 10 cm, 20 cm, 30 cm and 60 cm depth. We split up the time series by fitting a linear function to each day and night branch of the time series in order to disentangle soil water flow and actual root water uptake. In a prior investigation we found the main transpiration time lasted from 5:30 am to 6:30 pm so that the onset of the day and night branch was fixed to these times. Night time transpiration was low (< 23 % of the day time transpiration) and therefore neglected (Milcu et al. 2016). Subsequently, the root water uptake profile was integrated over the entire soil profile to determine the ET per one m² surface and day. The modelled ET was furthermore multiplied by the factor two in order to upscale the modelled ET to the surface of one lysimeter which is two m².
Evapotranspiration values estimated from weight changes between 5:00 am and 6:30 pm of the respective day are provided for 25 June 2012, 28 June 2012 and 29 June 2012. Evapotranspiration values estimated from root water uptake are provided for the days 25 June 2012, 28 June 2012, 29 June 2012, 17 July 2012 and 18 July 2012.
Keyword(s):
Jena-Ecotron Experiment
Related to:
Milcu, Alexandru; Eugster, Werner; Bachmann, Dörte; Guderle, Marcus; Roscher, Christiane; Gockele, Annette; Landais, Damien; Ravel, Olivier; Gessler, Arthur; Lange, Markus; Ebeling, Anne; Weisser, Wolfgang W; Roy, Jacques; Hildebrandt, Anke; Buchmann, Nina (2016): Plant functional diversity increases grassland productivity-related water vapor fluxes: an Ecotron and modeling approach. Ecology, 97(8), 2044-2054, https://doi.org/10.1890/15-1110.1
Milcu, Alexandru; Roscher, Christiane; Gessler, Arthur; Bachmann, Dörte; Gockele, Annette; Guderle, Marcus; Landais, Damien; Piel, Clement; Escpape, Christophe; Devidal, Sébastien; Ravel, Olivier; Buchmann, Nina; Gleixner, Gerd; Hildebrandt, Anke; Roy, Jacques (2014): Functional diversity of leaf nitrogen concentrations drives grassland carbon fluxes. Ecology Letters, 17(4), 435-444, https://doi.org/10.1111/ele.12243
Further details:
Plot information of the Jena Main Experiment
Treatment description
Project(s):
The Jena Experiment (JenExp)
Coverage:
Latitude: 50.946100 * Longitude: 11.611300
Date/Time Start: 2012-01-01T00:00:00 * Date/Time End: 2012-12-31T00:00:00
Minimum HEIGHT above ground: 0.5 m * Maximum HEIGHT above ground: 0.5 m
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:
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.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Experimental plotExperimental plotGuderle, MarcusDetailed explanations of plots and the plant diversity gradient are provided in the section further details.
2 Height aboveground, minimumHeight abovegr minmGuderle, MarcusSoil surface
3 Height aboveground, maximumHeight abovegr maxmGuderle, Marcusrough approximation of ET height
4 HEIGHT above groundHeightmGuderle, MarcusGeocode – Average of min and max value
5 Date/time startDate/time startGuderle, Marcusof sampling campaign
6 Date/time endDate/time endGuderle, Marcusof sampling campaign
7 ReplicateReplGuderle, MarcusSpeciefies if multiple samples per plot have been taken and are provided in the data file.
8 Treatment: mowingT:mowGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
9 Treatment: weedingT:weedGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
10 Treatment: weeding historyT:weed histGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
11 Treatment: seed additionT:seed addGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
12 Treatment: fertilizingT:fertGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
13 Treatment: droughtT:droughtGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
14 Treatment: aboveground: pesticideT:abovegr pestGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
15 Treatment: below pesticideT:below pestGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
16 Treatment: molluscideT:mollusGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
17 Treatment: nematicideT:nemaGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
18 Treatment: eartworm exclosureT:eartworm exclGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
19 Treatment: phytometersT:phytoGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
20 Treatment: specialT:specialGuderle, MarcusDetailed explanations of treatments are provided in the section further details.
21 EvapotranspirationETmm/dayGuderle, Marcusestimated from lysimeter (weight changes)Measured on plot level
22 EvapotranspirationETmm/dayGuderle, Marcusestimated from lysimeter (weight changes)Evapotranspiration derived from diurnal soil water content changes.
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
1236 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 
Experimental plot
(Detailed explanations of plot...)		2 
Height abovegr min [m]
(Soil surface)		3 
Height abovegr max [m]
(rough approximation of ET height)		4 
Height [m]
(Average of min and max value)		5 
Date/time start
(of sampling campaign)		6 
Date/time end
(of sampling campaign)		7 
Repl
(Speciefies if multiple sample...)		8 
T:mow
(Detailed explanations of trea...)		9 
T:weed
(Detailed explanations of trea...)		10 
T:weed hist
(Detailed explanations of trea...)		11 
T:seed add
(Detailed explanations of trea...)		12 
T:fert
(Detailed explanations of trea...)		13 
T:drought
(Detailed explanations of trea...)		14 
T:abovegr pest
(Detailed explanations of trea...)		15 
T:below pest
(Detailed explanations of trea...)		16 
T:mollus
(Detailed explanations of trea...)		17 
T:nema
(Detailed explanations of trea...)		18 
T:eartworm excl
(Detailed explanations of trea...)		19 
T:phyto
(Detailed explanations of trea...)		20 
T:special
(Detailed explanations of trea...)		21 
ET [mm/day]
(Measured on plot level)		22 
ET [mm/day]
(Evapotranspiration derived fr...)
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