Weight and nutrient content of understorey vegetation in biomass subplots in May-June 2012 in the exploratory region in Poland

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, 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 (species, cover, maximum height, development stage). 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 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 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

Poland, Bialowieza

Temporal Extent

Spring 2012

Taxonomic Extent

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

Measurement Circumstances

rain showers on Friday June 1st, nice weather and quite warm on the other days

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
POL03
POL04
POL02
POL05
POL01
subplot number
indicates which subplot within the plot is considered
Data group: Sub plot id
Values
10a
11b
11a
10c
10b
diversity
Number of target tree species present in subplot
Data group: Species richness
Keywords: diversity
Values
2
3
4
1
0
target Betula pendula
Absence/presence of Betula pendula 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
1
0
target Picea abies
Absence/presence of Picea abies in overstorey as target tree species
Data group: Presence data
Values
1
0
target Carpinus betulus
Absence/presence of Carpinus betulus in overstorey as target tree species
Data group: Presence data
Values
0
1
target Quercus robur
Absence/presence of Quercus robur in overstorey as target tree species
Data group: Presence data
Values
0
1
Weight non-woody
Weight of non-woody biomass present in biomass sample
Data group: Biomass
Keywords: process, understorey productivity
Values
0.725
0.195
0.132
0.641
0.387
P non-woody
P content of non-woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1654.903409090909
1776.1914323962517
1761.9948453608247
1683.344671201814
1649.2271293375393
* These persons could not be matched within the portal: Luc Willem also contributed to this column.
C non-woody
C content of non-woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, C
Values
36.366
37.324
36.907
37.079
36.931
* These persons could not be matched within the portal: Luc Willem also contributed to this column.
N non-woody
N content of non-woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, N
Values
2.216
1.627
1.686
2.04
1.79
* These persons could not be matched within the portal: Luc Willem also contributed to this column.
Weight woody-L
Weight of woody biomass (part leaves, needles) present in biomass sample
Data group: Biomass
Keywords: process, understorey productivity
Values
0.017
0.071
0.041
0
0.03
* These persons could not be matched within the portal: Kris Ceunen also contributed to this column.
P woody-L
P content of woody biomass (part leaves, needles) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1245.9634387351778
1671.6780821917807
1714.517396184063
1345.5756207674945
1841.7521367521372
* These persons could not be matched within the portal: Greet De bruyn also contributed to this column.
C woody-L
C content of woody biomass (part leaves, needles) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, C
Values
42.044
42.029
41.582
41.596
42.198
* These persons could not be matched within the portal: Greet De bruyn also contributed to this column.
N woody-L
N content of woody biomass (part leaves, needles) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, N
Values
1.671
1.794
1.712
1.607
1.606
* These persons could not be matched within the portal: Greet De bruyn also contributed to this column.
Weight woody-W
Weight of woody biomass (part branches) present in biomass sample
Data group: Biomass
Keywords: process, understorey productivity
Values
0.053
0.025
0.09
0
0.03
* These persons could not be matched within the portal: Kris Ceunen also contributed to this column.
P woody-W
P content of woody biomass (part branches) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1123.72691292876
1007.2181628392485
1038.7301587301588
1001.7082860385925
1089.839518555667
C woody-W
C content of woody biomass (part branches) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, C
Values
44.813
45.309
45.402
45.407
45.554
N woody-W
N content of woody biomass (part branches) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, N
Values
0.759
0.808
0.816
0.778
0.66
Remarks
Remarks about plot/subplot
Data group: Helper
Values
churned up by animals
litter: also dead wood
* Baeten, L., These persons could not be matched within the portal: Kris Ceunen, Sander Van Daele also contributed to this column.