Cover of understorey vegetation in biomass subplots in August 2012 in the exploratory region in Romania

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' (seedlings, 'green' herbs). The woody fraction is further divided into 'woody-woody' (woody part) and 'woody-leaf' ('green' part).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 (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' (seedlings, 'green' herbs). The woody fraction is further divided into 'woody-woody' (woody part) and 'woody-leaf' ('green' part). 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

Romania

Temporal Extent

summer 2012

Taxonomic Extent

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

Measurement Circumstances

warm, dry weather (extremely dry year from August 2011 until August 2012, might have influence the germination of a lot of species as soil was very dry and therefore very hard)

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
ROM02
ROM04
ROM05
ROM01
ROM03
subplot number
Indicates which subplot within the plot is considered
Data group: Sub plot id
Values
10b
10c
11a
10a
11b
diversity
Number of target tree species present in subplot
Data group: Species richness
Keywords: diversity
Values
4
2
1
3
target Picea abies
Absence/presence of Picea abies in overstorey as target tree species; Datagroup description: Presence data
Data group: Presence data
Values
1
0
target Abies alba
Absence/presence of Abies alba in overstorey as target tree species; Datagroup description: Presence data
Data group: Presence data
Values
1
0
target Fagus sylvatica
Absence/presence of Fagus sylvatica in overstorey as target tree species; Datagroup description: Presence data
Data group: Presence data
Values
1
0
target Acer pseudoplatanus
Absence/presence of Acer pseudoplatanus in overstorey as target tree species; Datagroup description: Presence data
Data group: Presence data
Values
1
0
Abies alba
% cover by Abies alba
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
15
1
0
10
0.1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Acer platanoides
% cover by Acer platanoides
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
1
3
0
0.1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Acer pseudoplatanus
% cover by Acer pseudoplatanus
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
20
1
0
0.1
2
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Ajuga reptans
% cover by Ajuga reptans
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
2
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Allium ursinum
% cover by Allium ursinum
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Athyrium filix-femina
% cover by Athyrium filix-femina
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
1
15
10
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Carex sylvatica
% cover by Carex sylvatica
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
2
0.1
3
1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Carpinus betulus
% cover by Carpinus betulus
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Daphne mezereum
% cover by Daphne mezereum
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Dryopteris filix-mas
% cover by Dryopteris filix-mas
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0
1
10
0.1
15
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Fagus sylvatica
% cover by Fagus sylvatica
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
15
1
10
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Fragaria vesca
% cover by Fragaria vesca
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0
0.1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Fraxinus excelsior
% cover by Fraxinus excelsior
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
25
0
1
0.1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Galium mollugo
% cover by Galium mollugo
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
15
2
1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Glechoma hederacea
% cover by Glechoma hederacea
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
3
30
0.1
0
1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Gymnocarpium robertianum
% cover by Gymnocarpium robertianum
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
5
0.1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Hordelymus europaeus
% cover by Hordelymus europaeus
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0
1
0.1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Impatiens noli-tangere
% cover by Impatiens noli-tangere
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
2
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Lamium sp.
% cover by Lamium sp.
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
4
0
1
2
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Luzula luzuloides
% cover by Luzula luzuloides
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
2
4
0
0.1
1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Mercurialis perennis
% cover by Mercurialis perennis
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
2
1
0.1
3
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Mycelis muralis
% cover by Mycelis muralis
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Oxalis acetosella
% cover by Oxalis acetosella
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Petasites albus
% cover by Petasites albus
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0
5
2
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Picea abies
% cover by Picea abies
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
2
7
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Prunella vulgaris
% cover by Prunella vulgaris
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0
0.1
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Prunus avium
% cover by Prunus avium
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
5
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Rubus fruticosus
% cover by Rubus fruticosus
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
15
1
0.1
10
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Salvia glutinosa
% cover by Salvia glutinosa
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
10
25
2
3
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Sambucus nigra
% cover by Sambucus nigra
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Sanicula europaea
% cover by Sanicula europaea
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
1
0
3
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Sorbus aucuparia
% cover by Sorbus aucuparia
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
2
0.1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Ulmus minor
% cover by Ulmus minor
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
10
0
7
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Veronica persica
% cover by Veronica persica
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Viola sp.
% cover by Viola sp.
Unit: %
Data group: Species composition
Keywords: process, understorey productivity
Values
0.1
1
0
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.
Remarks
Remarks about plot/subplot
Data group: Helper
Values
plot differs a lot from other plots: close to river, species rich and abundant vegetation, different composition than other plots
subplot placed on different location (lower)
subplot placed on different location (corner of the origin)
* These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont also contributed to this column.