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Weigelt, Alexandra; Weisser, Wolfgang W (2015): Aboveground community and species-specific plant biomass from the Jena Experiment (Dominance Experiment, year 2005) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.845449, In: Weigelt, Alexandra; Ebeling, Anne; Roscher, Christiane; Temperton, Vicky; De Luca, Enrica; Wagg, Cameron; Buchmann, Nina; Fischer, Markus; Scherer-Lorenzen, Michael; Schmid, Bernhard; Schulze, Ernst-Detlef; Weisser, Wolfgang W; Luo, Guangjuan; Meyer, Sebastian Tobias (2016): Collection of aboveground community and species-specific plant biomass from the Jena Experiment (time series since 2002) [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.866358

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Abstract:
This data set contains aboveground community plant biomass (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) and species-specific biomass from the sown species of the dominance experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the dominance experiment, 206 grassland plots of 3.5 x 3.5 m were established from a pool of 9 plant species that can be dominant in semi-natural grassland communities of the study region. In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 3, 4, 6, and 9 species). Plots were maintained by bi-annual weeding and mowing. Aboveground community biomass was harvested twice in May and August 2005 on all experimental plots of the dominance experiment. This was done by clipping the vegetation at 3 cm above ground in two rectangles of 0.2 x 0.5 m per experimental plot. The location of these rectangles was assigned by random selection of coordinates within the central area of the plots (excluding an outer edge of 50cm). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: individual species for the sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material, and remaining plant material that could not be assigned to any category. All biomass was dried to constant weight (70°C, >= 48 h) and weighed. Sown plant community biomass was calculated as the sum of the biomass of the individual sown species. The mean of both samples per plot and the individual measurements are provided in the data file. Overall, analyses of the community biomass data have identified species richness and the presence of particular species as an important driver of a positive biodiversity-productivity relationship.
Related to:
Roscher, Christiane; Temperton, Vicky; Scherer-Lorenzen, Michael; Schmid, Bernhard; Schmitz, Martin; Schumacher, Jens; Buchmann, Nina; Weisser, Wolfgang W; Schulze, Ernst-Detlef (2005): Overyielding in experimental grassland communities - irrespective of species pool or spatial scale. Ecology Letters, 8(4), 419-429, https://doi.org/10.1111/j.1461-0248.2005.00736.x
Further details:
Roscher, Christiane; Schumacher, Jens; Baade, Jussi; Wilcken, Sara; Gleixner, Gerd; Weisser, Wolfgang W; Schmid, Bernhard; Schulze, Ernst-Detlef (2004): The role of biodiversity for element cycling and trophic interactions: an experimental approach in a grassland community. Basic and Applied Ecology, 5(2), 107-121, https://doi.org/10.1078/1439-1791-00216
Project(s):
Coverage:
Latitude: 50.946100 * Longitude: 11.611300
Date/Time Start: 2005-01-01T00:00:00 * Date/Time End: 2005-12-31T00:00:00
Minimum HEIGHT above ground: 0.485 m * Maximum HEIGHT above ground: 0.485 m
Event(s):
JenExp_2005 (Jena Experiment 2005) * Latitude: 50.946100 * Longitude: 11.611300 * Date/Time Start: 2005-01-01T00:00:00 * Date/Time End: 2005-12-31T00:00:00 * Location: Thuringia, Germany * Method/Device: Experiment (EXP)
Comment:
There are two types of missing values contained in the dataset. Empty cells represent missing values that result from the design of the experiment when the respective value does not occur and could thus not be measured. For example, in the columns of species-specific biomass cells are left blank, when the species was not sown into the respective plot. Missing values that resulted from methodological problems, sampling errors, or lost samples/data are marked with "-9999".
To calculate plot and annual means from the species specific biomass given per subsample it is important to be aware of the special missing values in the data set. Plots with single missing values indicated by "-9999", result in a difference between the following means: (1) first sum up species specific biomass per subsample for all contained species to calculated a sown species community biomass per subsample and then average the values over the subsamples per plot or (2) first average species specific biomass over subplots to get an average species specific biomass per plot and then sum these averages for all contained species to get an overall plot mean.
This datasets is part of a time series of measurements since 2002 (doi:10.1594/PANGAEA.866358).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Experimental plotExperimental plotDetailed explanations of plots and the plant diversity gradient are provided in the section "further details".
Height aboveground, minimumHeight abovegr minmVegetation was cut in 3cm above the soil surface.
Height aboveground, maximumHeight abovegr maxmRough approximation of maximum vegetation height
HEIGHT above groundHeightmGeocode – Average of min and max value
Date/time startDate/time startOf sampling campaign
Date/time endDate/time endOf sampling campaign
ReplicateReplSpeciefies if multiple samples per plot have been taken and are provided in the data file.
Weeds plant community, biomass as dry weightWeeds biomg/m2Dried biomass sampleMeasured on plot level
Trifolium repens, biomass as dry weightT. repens biomg/m2Dried biomass sampleMeasured on species level
10 Trifolium pratense, biomass as dry weightT. pratense biomg/m2Dried biomass sampleMeasured on species level
11 Poa trivialis, biomass as dry weightP. trivialis biomg/m2Dried biomass sampleMeasured on species level
12 Phleum pratense, biomass as dry weightP. pratense biomg/m2Dried biomass sampleMeasured on species level
13 Geranium pratense, biomass as dry weightG. pratense biomg/m2Dried biomass sampleMeasured on species level
14 Dactylis glomerata, biomass as dry weightD. glomerata biomg/m2Dried biomass sampleMeasured on species level
15 Arrhenatherum elatius, biomass as dry weightA. elatius biomg/m2Dried biomass sampleMeasured on species level
16 Anthriscus sylvestris, biomass as dry weightA. sylvestris biomg/m2Dried biomass sampleMeasured on species level
17 Alopecurus pratensis, biomass as dry weightA. pratensis biomg/m2Dried biomass sampleMeasured on species level
18 Sown plant community, biomass as dry weightSown plant biomg/m2Dried biomass sampleMeasured on plot level
19 Dead plant material, biomass as dry weightDead plant mat biomg/m2Dried biomass sampleMeasured on plot level
20 Unidentified plant material, biomass as dry weightUnid plant mat biomg/m2Dried biomass sampleMeasured on plot level
Size:
16350 data points

Data

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


Experimental plot

Height abovegr min [m]

Height abovegr max [m]

Height [m]

Date/time start

Date/time end

Repl

Weeds biom [g/m2]

T. repens biom [g/m2]
10 
T. pratense biom [g/m2]
11 
P. trivialis biom [g/m2]
12 
P. pratense biom [g/m2]
13 
G. pratense biom [g/m2]
14 
D. glomerata biom [g/m2]
15 
A. elatius biom [g/m2]
16 
A. sylvestris biom [g/m2]
17 
A. pratensis biom [g/m2]
18 
Sown plant biom [g/m2]
19 
Dead plant mat biom [g/m2]
20 
Unid plant mat biom [g/m2]
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B2B0230.0310.4852005-05-302005-06-0821.0001.900442.60039.100483.60014.1000.000
B2B0230.0310.4852005-05-302005-06-08mean9.4001.000500.80019.600521.3007.1000.000
B2B0230.0310.4852005-08-222005-08-3112.1000.06057.7000.00057.76011.3000.000
B2B0230.0310.4852005-08-222005-08-3120.0000.00020.700317.700338.40041.3000.000
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B2B0240.0310.4852005-05-302005-06-08mean1.2001.80032.300303.000337.00034.0000.000
B2B0240.0310.4852005-08-222005-08-3110.0203.9001.020126.400131.3208.3000.000
B2B0240.0310.4852005-08-222005-08-3120.68016.9002.30079.50098.70011.7000.000
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B2B0250.0310.4852005-05-302005-06-08220.7000.090158.900158.99018.1000.000
B2B0250.0310.4852005-05-302005-06-08mean17.8002.900156.400159.30013.0000.000
B2B0250.0310.4852005-08-222005-08-3110.8303.40051.70055.1006.7000.000
B2B0250.0310.4852005-08-222005-08-3120.1100.000117.900117.9008.1000.000
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B2B0260.0310.4852005-08-222005-08-3120.0000.00058.70058.7002.9000.000
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B2B0270.0310.4852005-05-302005-06-08mean2.90061.000184.30039.400143.200427.80021.1000.000
B2B0270.0310.4852005-08-222005-08-3110.0000.0000.00018.70063.70082.4008.7000.000
B2B0270.0310.4852005-08-222005-08-3120.0000.00027.00018.00037.10082.10014.1000.000
B2B0270.0310.4852005-08-222005-08-31mean0.0000.00013.50018.40050.40082.30011.4000.000
B2B0320.0310.4852005-05-302005-06-0810.0001.4000.000197.800199.20020.3000.000
B2B0320.0310.4852005-05-302005-06-0820.0001.1500.520178.100179.77017.5003.600
B2B0320.0310.4852005-05-302005-06-08mean0.0001.3000.300188.000189.50018.9001.800
B2B0320.0310.4852005-08-222005-08-3110.0000.0000.10063.10063.2007.6000.000
B2B0320.0310.4852005-08-222005-08-3120.0000.0000.00049.30049.3006.0000.010
B2B0320.0310.4852005-08-222005-08-31mean0.0000.0000.10056.20056.3006.8000.000
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B2B0350.0310.4852005-05-302005-06-08mean1.60019.800302.500322.3001.8000.000
B2B0350.0310.4852005-08-222005-08-31111.1000.02067.70067.7200.4900.000
B2B0350.0310.4852005-08-222005-08-3121.5000.08063.50063.5800.8700.000
B2B0350.0310.4852005-08-222005-08-31mean6.3000.10065.60065.7000.7000.000
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B2B0360.0310.4852005-05-302005-06-0820.0480.00022.0005.2000.00045.600300.400373.20026.9000.000
B2B0360.0310.4852005-05-302005-06-08mean2.1000.00039.1003.6000.00059.700217.700320.10021.4000.000
B2B0360.0310.4852005-08-222005-08-3110.1700.00012.7000.0000.58044.00029.40086.68021.5000.000
B2B0360.0310.4852005-08-222005-08-312-9999.0000.00020.8006.700156.700184.20011.9000.000
B2B0360.0310.4852005-08-222005-08-31mean0.2000.00016.8000.0000.60025.40093.100135.70016.7000.000
B2B0390.0310.4852005-05-302005-06-0810.0000.260189.40039.700229.36024.7000.000
B2B0390.0310.4852005-05-302005-06-0820.0000.190219.60032.500252.29019.1000.000
B2B0390.0310.4852005-05-302005-06-08mean0.0000.200204.50036.100240.80021.9000.000
B2B0390.0310.4852005-08-222005-08-3110.1400.14021.30026.90048.3407.1000.000
B2B0390.0310.4852005-08-222005-08-3120.1100.25072.20014.90087.35011.0000.420
B2B0390.0310.4852005-08-222005-08-31mean0.1000.20046.80020.90067.8009.1000.200
B2B0400.0310.4852005-05-302005-06-0810.1600.00018.4000.110132.300150.8106.7000.000
B2B0400.0310.4852005-05-302005-06-0820.1105.20027.3000.220174.400207.1207.8000.000
B2B0400.0310.4852005-05-302005-06-08mean0.1002.60022.9000.200153.400179.0007.3000.000
B2B0400.0310.4852005-08-222005-08-3110.0000.0000.0000.000102.800102.80014.4000.000
B2B0400.0310.4852005-08-222005-08-3120.0000.0300.0000.31055.50055.8408.2000.570
B2B0400.0310.4852005-08-222005-08-31mean0.0000.0000.0000.20079.20079.30011.3000.300
B2B0430.0310.4852005-05-302005-06-08129.1000.00081.00081.0000.0000.000
B2B0430.0310.4852005-05-302005-06-08214.10083.40083.4000.0000.000
B2B0430.0310.4852005-05-302005-06-08mean21.60082.20082.2000.0000.000
B2B0430.0310.4852005-08-222005-08-3110.17011.10011.1003.7000.000
B2B0430.0310.4852005-08-222005-08-3120.2403.8003.8003.0000.000
B2B0430.0310.4852005-08-222005-08-31mean0.2007.5007.5003.4000.000
B2B0440.0310.4852005-05-302005-06-0813.0000.0000.000118.600118.60029.3000.000
B2B0440.0310.4852005-05-302005-06-0820.9300.0000.035229.700229.7356.2100.000
B2B0440.0310.4852005-05-302005-06-08mean2.0000.0000.000174.200174.20017.8000.000
B2B0440.0310.4852005-08-222005-08-3110.3300.0000.08096.60096.6805.4000.000
B2B0440.0310.4852005-08-222005-08-3121.6000.0000.00059.70059.7008.3000.000
B2B0440.0310.4852005-08-222005-08-31mean1.0000.0000.00078.20078.2006.9000.000
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B2B0460.0310.4852005-05-302005-06-08mean2.70023.10080.700219.500323.30016.6000.000
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B2B0460.0310.4852005-08-222005-08-3120.2100.00058.3002.50060.8000.6000.000
B2B0460.0310.4852005-08-222005-08-31mean0.2000.00074.40020.00094.3006.0000.000
B2B0510.0310.4852005-05-302005-06-0810.4500.1905.300155.000160.49012.8000.000
B2B0510.0310.4852005-05-302005-06-0820.0000.8305.900261.700268.43014.4000.000
B2B0510.0310.4852005-05-302005-06-08mean0.2000.5005.600208.400214.50013.6000.000
B2B0510.0310.4852005-08-222005-08-3110.0000.0000.320104.100104.42011.8000.000
B2B0510.0310.4852005-08-222005-08-3120.3700.0000.00063.70063.70012.7000.000
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B2B0530.0310.4852005-05-302005-06-0810.06624.200175.800200.00014.4000.000
B2B0530.0310.4852005-05-302005-06-0820.37457.300178.600235.90016.6000.000
B2B0530.0310.4852005-05-302005-06-08mean0.20040.800177.200218.00015.5000.000
B2B0530.0310.4852005-08-222005-08-3110.0000.000110.800110.80015.3000.000
B2B0530.0310.4852005-08-222005-08-3120.0101.10067.80068.90010.7000.000
B2B0530.0310.4852005-08-222005-08-31mean0.0000.60089.30089.90013.0000.000
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B2B0540.0310.4852005-05-302005-06-0823.5000.3907.800162.4000.900171.4909.8000.000
B2B0540.0310.4852005-05-302005-06-08mean1.8000.30020.100154.1000.900175.40010.6000.000
B2B0540.0310.4852005-08-222005-08-3110.0000.1004.60099.2000.000103.90029.0000.940
B2B0540.0310.4852005-08-222005-08-3120.3000.0001.50097.0000.97099.47022.9000.000
B2B0540.0310.4852005-08-222005-08-31mean0.2000.1003.10098.1000.500101.70026.0000.500
B2B0550.0310.4852005-05-302005-06-0810.2511.1600.0000.000190.6001.05971.600264.41931.0000.000
B2B0550.0310.4852005-05-302005-06-0820.00016.90026.2001.188275.7002.081108.200430.26920.3000.000
B2B0550.0310.4852005-05-302005-06-08mean0.1009.00013.1000.600233.2001.60089.900347.30025.7000.000
B2B0550.0310.4852005-08-222005-08-3114.1009.0000.41024.50092.1000.83020.300147.14019.9000.050
B2B0550.0310.4852005-08-222005-08-3120.11047.6003.8000.26067.0001.10028.200147.96014.0000.340
B2B0550.0310.4852005-08-222005-08-31mean2.10028.3002.10012.40079.6001.00024.300147.60017.0000.200
B2B0600.0310.4852005-05-302005-06-0814.0000.0001.21233.100171.100205.41211.6003.900
B2B0600.0310.4852005-05-302005-06-0828.1009.0000.000236.400100.900346.30027.7000.000
B2B0600.0310.4852005-05-302005-06-08mean6.1004.5000.600134.800136.000275.90019.7002.000
B2B0600.0310.4852005-08-222005-08-31114.70013.3000.84035.30040.10089.54015.0004.700
B2B0600.0310.4852005-08-222005-08-3121.1003.6001.40058.80047.800111.6008.0005.900
B2B0600.0310.4852005-08-222005-08-31mean7.9008.5001.10047.10044.000100.60011.5005.300
B2B0610.0310.4852005-05-302005-06-081-9999.0000.0000.000-9999.000-9999.000
B2B0610.0310.4852005-05-302005-06-082-9999.000-9999.000-9999.000-9999.000-9999.000
B2B0610.0310.4852005-05-302005-06-08mean-9999.0000.0000.000-9999.000-9999.000
B2B0610.0310.4852005-08-222005-08-3110.00090.40090.40011.4000.000
B2B0610.0310.4852005-08-222005-08-3120.00057.60057.60013.5000.000
B2B0610.0310.4852005-08-222005-08-31mean0.00074.00074.00012.5000.000
B2B0630.0310.4852005-05-302005-06-08117.40018.700132.300151.0009.7000.000
B2B0630.0310.4852005-05-302005-06-0821.20044.800249.000293.80026.4000.000
B2B0630.0310.4852005-05-302005-06-08mean9.30031.800190.700222.40018.1000.000
B2B0630.0310.4852005-08-222005-08-3110.0001.80027.60029.4006.0000.000
B2B0630.0310.4852005-08-222005-08-3120.00011.00037.40048.40012.1000.000
B2B0630.0310.4852005-08-222005-08-31mean0.0006.40032.50038.9009.1000.000
B2B0640.0310.4852005-05-302005-06-0810.96090.60012.2008.80020.300195.40022.500349.8003.00015.000
B2B0640.0310.4852005-05-302005-06-0820.090226.0008.90014.10077.90079.40037.000443.30014.3000.000
B2B0640.0310.4852005-05-302005-06-08mean0.500158.30010.60011.50049.100137.40029.800396.6008.7007.500
B2B0640.0310.4852005-08-222005-08-3113.100103.3000.0104.50021.20021.60013.900164.51029.2004.800
B2B0640.0310.4852005-08-222005-08-3123.20053.3000.5100.0004.70078.2009.800146.51041.8002.500
B2B0640.0310.4852005-08-222005-08-31mean3.20078.3000.3002.30013.00049.90011.900155.50035.5003.700
B2B0650.0310.4852005-05-302005-06-0810.0105.6000.06028.000195.6000.03054.800284.09021.0000.000
B2B0650.0310.4852005-05-302005-06-0820.0000.7000.12044.600168.5000.04066.400280.36020.7000.000
B2B0650.0310.4852005-05-302005-06-08mean0.0003.2000.10036.300182.1000.00060.600282.20020.9000.000
B2B0650.0310.4852005-08-222005-08-3110.0000.0000.34040.60069.3000.00037.100147.34027.1000.000
B2B0650.0310.4852005-08-222005-08-3120.6500.26010.80031.60032.0000.01025.900100.57015.6002.600
B2B0650.0310.4852005-08-222005-08-31mean0.3000.1005.60036.10050.7000.00031.500124.00021.4001.300
B2B0670.0310.4852005-05-302005-06-08114.800130.2000.000457.2001.600589.00034.9000.000
B2B0670.0310.4852005-05-302005-06-08212.700161.3000.606179.2006.300347.40617.8000.000
B2B0670.0310.4852005-05-302005-06-08mean13.800145.8000.300318.2004.000468.20026.4000.000
B2B0670.0310.4852005-08-222005-08-3110.08080.4008.600101.9000.000190.90021.9000.000
B2B0670.0310.4852005-08-222005-08-3121.70012.2003.700236.2000.630252.73023.3000.000
B2B0670.0310.4852005-08-222005-08-31mean0.90046.3006.200169.1000.300221.80022.6000.000
B2B0680.0310.4852005-05-302005-06-0810.4701.9000.220380.300382.42024.7000.000
B2B0680.0310.4852005-05-302005-06-0825.1001.2003.500273.700278.40022.3000.000
B2B0680.0310.4852005-05-302005-06-08mean2.8001.6001.900327.000330.40023.5000.000
B2B0680.0310.4852005-08-222005-08-3110.5800.18029.80055.20085.18016.5000.000
B2B0680.0310.4852005-08-222005-08-3124.0000.0000.00049.60049.60012.6000.000
B2B0680.0310.4852005-08-222005-08-31mean2.3000.10014.90052.40067.40014.6000.000
B2B0690.0310.4852005-05-302005-06-0811.200117.50026.500144.0000.0000.000
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