FunDivEUROPE | Functional significance of forest biodiversity in Europe Header logo fundiv

Title:
Weight and nutrient content of understorey vegetation in biomass subplots in May-June 2012 in the exploratory region in Italy
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' (young seedlings, 'green' herbs). 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).
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). 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:
Italy
Temporal extent:
Spring 2012
Taxonomic extent:
understorey vegetation: woody and non-woody vascular species (herbs, seedlings) < 1.3m
Measurement cirumstances:
Heavy rain on several days
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:
ITA05
ITA01
ITA04
ITA02
ITA03
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:
10c
11a
11b
10a
10b
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:
5
4
2
1
3
Contributors:
No information available

Dataset column

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

Dataset column

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

Dataset column

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

Dataset column

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

Dataset column

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

Dataset column

Name:
Weight non-woody
Definition:
Weight of non-woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass
Keywords:
process, understorey productivity
Values:
0
0.013
0.014
0.008
0.01
Contributors:
No information available

Dataset column

Name:
P non-woody
Definition:
P content of non-woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass nutrient concentration
Keywords:
process, P
Values:
1004.7435897435898
1087.664155005382
1048.5077343039127
1047.019340159272
1058.0858310626702
Contributors:
No information available

Dataset column

Name:
C non-woody
Definition:
C content of non-woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass nutrient concentration
Keywords:
process, C
Values:
36.491
36.281
35.3
33.424
34.667
Contributors:
No information available

Dataset column

Name:
N non-woody
Definition:
N content of non-woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass nutrient concentration
Keywords:
process, N
Values:
0.98
1.239
1.33
1.287
0.939
Contributors:
No information available

Dataset column

Name:
Weight woody
Definition:
Weight of woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass
Keywords:
process, understorey productivity
Values:
0.019
0.02
0.015
0.036
0
Contributors:
No information available

Dataset column

Name:
P woody
Definition:
P content of woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass nutrient concentration
Keywords:
process, P
Values:
1012.40317775571
125.0200267022697
132.31900452488688
1166.8391719745225
1019.1187739463601
Contributors:
No information available

Dataset column

Name:
C woody
Definition:
C content of woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass nutrient concentration
Keywords:
process, C
Values:
43.915
43.306
43.559
44.208
43.579
Contributors:
No information available

Dataset column

Name:
N woody
Definition:
N content of woody biomass present in biomass sample
Unit:
No information available
Datagroup:
Biomass nutrient concentration
Keywords:
process, N
Values:
0.414
0.386
0.488
0.547
0.508
Contributors:
No information available

Dataset column

Name:
Remarks
Definition:
Remarks about plot/subplot
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
chestnut crowns damaged (open canopy)
disturbance by ungulates
chestnut attacked by parasites, small canopy gap
disturbance by animals (wild boar) on the understorey
chestnut canopy damaged by parasite attacks --> gap
Contributors:
No information available

No information available


No information available
No information avialable

Filter:
Avatar missing medium

Kris
Verheyen

Owner of:
52 Datasets

Involved in:
5 Projects

E-Mail Profile
Avatar missing medium

Evy
Ampoorter

Owner of:
30 Datasets

Involved in:
2 Projects

E-Mail Profile
No information available

No information available
No information available

No information available
No information available