Weight and nutrient content of understorey vegetation in biomass subplots in August 2012 in the exploratory region in Finland

Usage Rights

This data is Free within projects.

FunDiv-intern

Dataset Abstract

Most of the plant diversity in European forests is found in the understorey, and despite its relatively low biomass compared to the forest overstorey, its functional importance is high (nectar source for pollinators, habitat for small mammals, affects tree regeneration, invasion resistance, decomposition and nutrient cycling (Gilliam 2007). Relationships between overstorey and understorey diversity and composition is tackled. For each of the plots per focal region, the core plot is divided in nine quadrants.For each of the plots per focal region, the core plot is divided in nine quadrants. In three quadrants (upper right, central, lower left), a vegetation subplot of 5 m x 5 m (as close as possible to the central quadrant; subplot in the central quadrant located in the upper half) is marked for identification and estimation of cover of understorey vascular plant species. Location of subplots exclude major heterogeneities at any scale of sampling (tree trunks, tracks and paths, streams and ponds, peaty pools, boulders and cliffs…). Thus, terricolous plants growing on mineral and organic soil of the undisturbed forest floor are represented. Within this subplot, understorey vegetation is identified (species, cover) and afterwards clipped in a zone of 0.5 m x 0.5 m (biomass subplot), where understorey vegetation is relatively abundant and where vegetation composition is representative for the whole subplot. Then, biomass is divided into 'woody' (woody juveniles, woody plants) and 'non-woody' (young seedlings, 'green' herbs). The woody fraction is further divided into 'woody-W' (part branches) and 'woody-L' (part leaves, needles).The biomass samples are dried for 24 to 48h at 70°C . Then they are weighed and analysed for P, Ca, K, Mg, C, N (Forest & Nature Lab, Ghent University).

Dataset Design

For each of the plots per focal region, the core plot is divided in nine quadrants. In three quadrants (upper right, central, lower left), a subplot of 5 m x 5 m (as close as possible to the central quadrant; subplot in the central quadrant located in the upper half) is marked for identification and estimation of cover of understorey vascular plant species. Within this subplot, understorey vegetation is identified (species, cover) and afterwards clipped in a zone of 0.5 m x 0.5 m, where understorey vegetation is relatively abundant and where vegetation composition is representative for the whole subplot. Then, biomass is divided into 'woody' (woody juveniles, woody plants) and 'non-woody' (young seedlings, 'green' herbs). The woody fraction is further divided into 'woody-W' (part branches) and 'woody-L' (part leaves, needles). Preparation of biomass samples for chemical analyses: dried at 70°C, grinded using a sieve of 1mm. Before analyses of Ca, Mg, K en P-content, grinded biomass samples are 'destroyed' with HNO3/HClO4, diluted with demineralised water and filtered according to the method of Varian Instruments at work, AA-24 (McKenzie T., 1982. Automated multielement analysis of plant material by flame atomic absorption spectroscopy. Varian Instruments at work, AA-24). Analysis for Ca-content: destruction of biomass sample with the above mentioned method. Then the sample is diluted, 10% CsCI is added as modifer on the AAS (Varian SpectrAA 220) and calibrated to 5mg Ca/l and atomized in a nitrous oxide-acetylene flame, absorption is measured at 422.7nm. The analytical quality of the analysis is verified by repeated measurement of blanco and control samples. Analysis for K-content: destruction of biomass sample with the above mentioned method. Then the sample is diluted, 10% CsCI is added as modifer on the AAS (Varian SpectrAA 220) and calibrated to 1mg K/l and atomized in a air-acetylene flame, absorption is measured at 766.5nm. The analytical quality of the analysis is verified by repeated measurement of blanco and control samples. Analysis for Mg-content: destruction of biomass sample with the above mentioned method. Then the sample is diluted, 10% CsCI is added as modifer on the AAS (Varian SpectrAA 220) and calibrated to 0.5mg Mg/l and atomized in a air-acetylene flame, absorption is measured at 258.2nm. The analytical quality of the analysis is verified by repeated measurement of blanco and control samples. Analysis for P-content: destruction of biomass sample with the above mentioned method, then reaction of the destroyed biomass sample with metholsulphite, ammoniumheptamolybdate and sodiumacetate solution. Finally, measurement of the total P-content with a spectrophotometer type Varian Cary 50 at 700nm (Chemical analysis of plants and soils. Cottenie, Verloo,... Laboratory of analytical and agrochemistry, RUG). Analyses for C, N: analysis is done using an Elementar analyzer, type Vario Macro Cube in configuration CNS, with Argon as carrier gas. Catalytic combustion of the sample (1.5g) is carried out at a permanent temperature of up to 1200°C. This is followed by reduction of the combustion gasses on hot copper in the refuction tube. The formed gasses N2, CO2, H2O, SO2 are separated via purge and trep chromatography and afterwards detected on a thermal conductivity detector (TCD). A connected PC computes the element concentration from the detector signal, and the sample weight on the basis of stored calibration curves.

Spatial Extent

Finland

Temporal Extent

Summer 2012

Taxonomic Extent

Understorey vegetation: woody and non-woody vascular species (herbs, seedlings) < 1.3m

Measurement Circumstances

Overall dry weather

Data columns available in the raw data part of this dataset

plot number
unique number ascribed to each plot
Data group: Exploratory plot id
Values
FIN05
FIN03
FIN01
FIN04
FIN02
subplot number
indicates which subplot within the plot is considered
Data group: Sub plot id
Values
10b
10a
10c
11b
11a
diversity
Number of target tree species present in subplot
Data group: Species richness
Keywords: diversity
Values
3
2
1
target Picea abies
Absence/presence of Picea abies in overstorey as target tree species
Data group: Presence data
Values
0
1
target Pinus sylvestris
Absence/presence of Pinus sylvestris in overstorey as target tree species
Data group: Presence data
Values
0
1
target Betula pendula
Absence/presence of Betula pendula in overstorey as target tree species
Data group: Presence data
Values
1
0
Weight non-woody
Weight of non-woody biomass present in biomass sample
Unit: g
Data group: Biomass
Keywords: process, understorey productivity
Values
0
0.061
0.096
0.132
0.137
* These persons could not be matched within the portal: Maxime Eeraerts also contributed to this column.
K non-woody
K content of non-woody biomass present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, K
Values
11149.055555555557
14114.547837483615
14182.265774378586
12935.819327731093
10689.827689378486
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Ca non-woody
Ca content of non-woody biomass present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, Ca
Values
10244.905821917808
1011.6731517509728
10516.947565543074
10343.16091954023
10472.008781558727
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Mg non-woody
Mg content of non-woody biomass present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, Mg
Values
1057.3199527744982
1066.7584940312213
1089.6341463414635
1000.0984251968507
1144.9056603773586
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
P non-woody
P content of non-woody biomass present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1306.5010351966876
1272.4704336399473
1186.626575028637
1401.434034416826
1250.519957983193
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
C non-woody
C content of non-woody biomass present in biomass sample
Unit: %
Data group: Biomass nutrient concentration
Keywords: process, Ca
Values
40.09
39.914
39.787
39.17
40.218
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
N non-woody
N content of non-woody biomass present in biomass sample
Unit: %
Data group: Biomass nutrient concentration
Keywords: process, N
Values
1.089
0.944
1.079
0.973
1.103
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Weight woody-L
Weight of woody biomass (part leaves, needles) present in biomass sample
Unit: g
Data group: Biomass
Keywords: process, understorey productivity
Values
0.065
0
0.151
0.004
0.067
* These persons could not be matched within the portal: Maxime Eeraerts also contributed to this column.
K woody-L
K content of woody biomass (part leaves, needles) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, K
Values
3999.186046511628
2886.4640883977904
17907.078986587185
12434.078212290506
3793.7939110070256
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Ca woody-L
Ca content of woody biomass (part leaves, needles) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, Ca
Values
11217.416378316033
13158.850226928898
13376.367614879651
10205.040871934603
10578.715728715732
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Mg woody-L
Mg content of woody biomass (part leaves, needles) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, Mg
Values
1289.3805309734516
1343.661971830986
1222.2159730033743
1065.103448275862
1351.5151515151517
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
P woody-L
P content of woody biomass (part leaves, needles) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1043.2413793103449
1034.8484848484848
1013.8249754178958
1010.9228650137742
1016.0951834862385
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
C woody-L
C content of woody biomass (part leaves, needles) present in biomass sample
Unit: %
Data group: Biomass nutrient concentration
Keywords: process, Ca
Values
42.948
45.392
46.084
43.824
45.873
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
N woody-L
N content of woody biomass (part leaves, needles) present in biomass sample
Unit: %
Data group: Biomass nutrient concentration
Keywords: process, N
Values
0.936
0.927
0.962
0.993
0.95
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Weight woody-W
Weight of woody biomass (part branches) present in biomass sample
Unit: g
Data group: Biomass
Keywords: process, understorey productivity
Values
0.066
0
0.056
0.106
0.143
* These persons could not be matched within the portal: Maxime Eeraerts also contributed to this column.
K woody-W
K content of woody biomass (part branches) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, K
Values
2614.7563176895305
2600.2844141069395
2683.3984375000005
2817.043399638336
2046.3696369636962
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Ca woody-W
Ca content of woody biomass (part branches) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, Ca
Values
2069.7445972495093
1759.7192224622033
2469.4161260426317
2403.5846724351054
1881.925522252498
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
Mg woody-W
Mg content of woody biomass (part branches) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, Mg
Values
1020.0086058519795
1002.959927140255
1010.048076923077
1001.4644351464435
1072.4999999999998
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
P woody-W
P content of woody biomass (part branches) present in biomass sample
Unit: mg/kg
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1038.73417721519
1030.7207718501704
1011.4908722109534
1036.8572778827977
1030.7013769363166
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
C woody-W
C content of woody biomass (part branches) present in biomass sample
Unit: %
Data group: Biomass nutrient concentration
Keywords: process, Ca
Values
45.697
45.729
45.667
45.765
46.496
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.
N woody-W
N content of woody biomass (part branches) present in biomass sample
Unit: %
Data group: Biomass nutrient concentration
Keywords: process, N
Values
0.655
0.682
0.678
0.64
0.619
* These persons could not be matched within the portal: Luc Willem, Greet De bruyn also contributed to this column.