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Chen, Hongmei; Elle, Oliver; Weigelt, Alexandra; Mommer, Liesje; Richter, Ronny (2018): Fine root lignin content from different plots of the Jena Experiment [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.895499, In supplement to: Elle, Oliver; Richter, Ronny; Vohland, Michael; Weigelt, Alexandra (2019): Fine root lignin content is well predictable with near-infrared spectroscopy. Scientific Reports, 9(1), 6396, https://doi.org/10.1038/s41598-019-42837-z

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Published: 2018-10-19DOI registered: 2020-04-24

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Project(s):
Coverage:
Latitude: 50.946100 * Longitude: 11.611300
Event(s):
Jena_Experiment (Jena Experiment) * Latitude: 50.946100 * Longitude: 11.611300 * Location: Thuringia, Germany * Method/Device: Experiment (EXP)
Comment:
Dried root samples were ground with a vibratory ball mill (MM 400, Retsch Technology GmbH, Germany). For liquid-solid pre-extraction we extracted up to 50 mg of sample with 12 mL solvent (acetone: ethanol: water; 5:3:2 volume) at 70°C for 150 minutes, turning the tubes regularly. The extracted samples were centrifuged and washed three times before drying (70°C, 48 hours). For lignin extraction, we used the acetyl bromide (AcBr) extraction as described by Iiyama & Wallis (1988), but avoided to use 70% perchloric acid that causes the formation of hydrobromic acid and unwanted acid catalyzed, chromophor-forming oxidation of polysaccharides. In brief, we extracted 10 mg sample with 5 mL 25% (vol:vol) solution of AcBr in glacial acetic acid and heated the vials in an oil bath (70°C, 60 min) with regular shaking to promote sample digestion. We chilled samples on ice (15 min), equilibrated to room temperature (30 min) and centrifuged. To mask strongly absorbing polybromide anions, 1 mL of the supernatant was diluted in 1 mL of 2N NaOH and 8 mL glacial acetic acid. We included microcrystalline cellulose (Sigma-Aldrich, USA) as control. Finally, we measured 3 mL of the sample solution at 280 nm in a spectrophotometer (Jasco V730, Jasco Labor- u. Datentechnik GmbH, Germany) to determine the specific absorption coefficients (SAC): SAC=((ODS-ODB )*F)/Wd*ml*cm^(-1)*mg^(-1); where ODS = optical density of the sample, ODB = optical density of the blank, Wd = weight of the sample and F [mL mg- 1] = dilution factor (= 50) and d [cm] = diameter of the quartz cuvette. In addition, we purified and isolated reference samples. For the calibration curve we diluted 10-750 µL extracted lignin aliquots in 8 mL masking solution, made up to 10 mL with blank solution (25% AcBr in acetic acid) and measured at 280 nm as detailed above. The lignin content (L) of all samples was calculated using regression equation: L=((SAC-0,05)*100)/13,06*%
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Experimental plotExperimental plotChen, HongmeiPlot ID
LigninLignin%Chen, Hongmeifine root lignin content (relative to mass)
Species richnessSChen, Hongmeinumber of species per plot
Species richnessSChen, Hongmeilogarithm of species richness
Functional groupFunctional grChen, Hongmeinumber of functional groups per plot (grasses, legumes, tall- and small herbs)
GrassesGrasses#Chen, Hongmeipresence / absence of grasses in the plot
Herbs, smallHerbs small#Chen, Hongmeipresence / absence of small herbs in the plot
Herbs, tallHerbs tallChen, Hongmeipresence / absence of tall herbs in the plot
LegumesLegumes#Chen, Hongmeipresence / absence of legumes in the plot
Size:
666 data points

Data

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


Experimental plot
(Plot ID)

Lignin [%]
(fine root lignin content (rel...)

S
(number of species per plot)

S
(logarithm of species richness)

Functional gr
(number of functional groups p...)

Grasses [#]
(presence / absence of grasses...)

Herbs small [#]
(presence / absence of small h...)

Herbs tall
(presence / absence of tall he...)

Legumes [#]
(presence / absence of legumes...)
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