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Title:
Cover of understorey vegetation in biomass subplots in August 2012 in the exploratory region in Romania
Access rights:
Free within projects
Usage rights:
FunDiv-intern
Published:
No information available
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).
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 cirumstances:
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 analysis:
No information available

Filter:
Dataset column

Name:
plot number
Definition:
unique number ascribed to each plot
Unit:
No information available
Datagroup:
Exploratory plot id
Keywords:
No information available
Values:
ROM01
ROM03
ROM02
ROM04
ROM05
Contributors:
No information available

Dataset column

Name:
subplot number
Definition:
Indicates which subplot within the plot is considered
Unit:
No information available
Datagroup:
Sub plot id
Keywords:
No information available
Values:
11a
10b
11b
10c
10a
Contributors:
No information available

Dataset column

Name:
diversity
Definition:
Number of target tree species present in subplot
Unit:
No information available
Datagroup:
Species richness
Keywords:
diversity
Values:
3
1
2
4
Contributors:
No information available

Dataset column

Name:
target Picea abies
Definition:
Absence/presence of Picea abies in overstorey as target tree species; Datagroup description: Presence data
Unit:
No information available
Datagroup:
Presence data
Keywords:
No information available
Values:
1
0
Contributors:
No information available

Dataset column

Name:
target Abies alba
Definition:
Absence/presence of Abies alba in overstorey as target tree species; Datagroup description: Presence data
Unit:
No information available
Datagroup:
Presence data
Keywords:
No information available
Values:
1
0
Contributors:
No information available

Dataset column

Name:
target Fagus sylvatica
Definition:
Absence/presence of Fagus sylvatica in overstorey as target tree species; Datagroup description: Presence data
Unit:
No information available
Datagroup:
Presence data
Keywords:
No information available
Values:
0
1
Contributors:
No information available

Dataset column

Name:
target Acer pseudoplatanus
Definition:
Absence/presence of Acer pseudoplatanus in overstorey as target tree species; Datagroup description: Presence data
Unit:
No information available
Datagroup:
Presence data
Keywords:
No information available
Values:
0
1
Contributors:
No information available

Dataset column

Name:
Abies alba
Definition:
% cover by Abies alba
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
10
15
0
1
0.1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Acer platanoides
Definition:
% cover by Acer platanoides
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
0
0.1
3
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Acer pseudoplatanus
Definition:
% cover by Acer pseudoplatanus
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
2
20
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Ajuga reptans
Definition:
% cover by Ajuga reptans
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
2
0
0.1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Allium ursinum
Definition:
% cover by Allium ursinum
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Athyrium filix-femina
Definition:
% cover by Athyrium filix-femina
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
10
1
15
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Carex sylvatica
Definition:
% cover by Carex sylvatica
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
3
1
2
0
0.1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Carpinus betulus
Definition:
% cover by Carpinus betulus
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Daphne mezereum
Definition:
% cover by Daphne mezereum
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Dryopteris filix-mas
Definition:
% cover by Dryopteris filix-mas
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
0
15
0.1
10
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Fagus sylvatica
Definition:
% cover by Fagus sylvatica
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
10
0.1
15
1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Fragaria vesca
Definition:
% cover by Fragaria vesca
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Fraxinus excelsior
Definition:
% cover by Fraxinus excelsior
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
0.1
25
1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Galium mollugo
Definition:
% cover by Galium mollugo
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
0.1
0
15
2
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Glechoma hederacea
Definition:
% cover by Glechoma hederacea
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
30
1
3
0.1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Gymnocarpium robertianum
Definition:
% cover by Gymnocarpium robertianum
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
5
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Hordelymus europaeus
Definition:
% cover by Hordelymus europaeus
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Impatiens noli-tangere
Definition:
% cover by Impatiens noli-tangere
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
2
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Lamium sp.
Definition:
% cover by Lamium sp.
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
2
0
4
1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Luzula luzuloides
Definition:
% cover by Luzula luzuloides
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
4
1
2
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Mercurialis perennis
Definition:
% cover by Mercurialis perennis
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
2
0
0.1
3
1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Mycelis muralis
Definition:
% cover by Mycelis muralis
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
0.1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Oxalis acetosella
Definition:
% cover by Oxalis acetosella
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Petasites albus
Definition:
% cover by Petasites albus
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
2
0
5
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Picea abies
Definition:
% cover by Picea abies
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
2
0.1
7
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Prunella vulgaris
Definition:
% cover by Prunella vulgaris
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Prunus avium
Definition:
% cover by Prunus avium
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
5
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Rubus fruticosus
Definition:
% cover by Rubus fruticosus
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
1
10
0
0.1
15
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Salvia glutinosa
Definition:
% cover by Salvia glutinosa
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
10
2
3
25
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Sambucus nigra
Definition:
% cover by Sambucus nigra
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Sanicula europaea
Definition:
% cover by Sanicula europaea
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
1
3
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Sorbus aucuparia
Definition:
% cover by Sorbus aucuparia
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
2
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Ulmus minor
Definition:
% cover by Ulmus minor
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
10
7
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Veronica persica
Definition:
% cover by Veronica persica
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0.1
0
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Viola sp.
Definition:
% cover by Viola sp.
Unit:
%
Datagroup:
Species composition
Keywords:
process, understorey productivity
Values:
0
0.1
1
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

Dataset column

Name:
Remarks
Definition:
Remarks about plot/subplot
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
subplot placed on different location (lower)
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 (corner of the origin)
Contributors:
These persons could not be matched within the portal: Kris Ceunen, Margot Vanhellemont

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Kris
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