Weight and nutrient content of understorey vegetation in biomass subplots in June 2012 in the exploratory region in Spain

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 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). 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

Spain

Temporal Extent

Spring 2012

Taxonomic Extent

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

Measurement Circumstances

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
SPA04
SPA05
SPA01
SPA02
SPA03
subplot number
indicates which subplot within the plot is considered
Data group: Sub plot id
Values
10b
10c
11a
11b
10a
diversity
Number of target tree species present in subplot
Data group: Species richness
Keywords: diversity
Values
4
3
2
1
target Pinus nigra
Absence/presence of Pinus nigra 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 Quercus faginea
Absence/presence of Quercus faginea in overstorey as target tree species
Data group: Presence data
Values
1
0
target Quercus ilex
Absence/presence of Quercus ilex 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
0.486
0
0.091
0.149
0.381
P non-woody
P content of non-woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1007.9032258064516
1004.2067039106144
1000.6726694915253
1008.6469072164949
1010.6143344709898
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn 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
42.199
42.476
42.776
42.666
40.781
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn 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
1.161
1.176
1.008
0.906
0.952
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
Weight woody
Weight of woody biomass present in biomass sample
Data group: Biomass
Keywords: process, understorey productivity
Values
0.2
0
0.289
0.103
0.349
P woody
P content of woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, P
Values
299.005291005291
1300.090909090909
359.90713587487784
337.151841868823
1153.3896103896107
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
C woody
C content of woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, C
Values
47.006
46.317
47.074
46.825
45.499
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
N woody
N content of woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, N
Values
0.742
0.712
0.663
0.584
0.596
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
Remarks
Remarks about plot/subplot
Data group: Helper
Values
grazed by sheep
a grassy meadow
a dry pasture land with no trees and shrubs - species rich, many annuals!
bare soil = rocks
bare soil: rocks!