Weight and nutrient content 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' (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

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
ROM05
ROM02
ROM04
ROM03
ROM01
subplot number
indicates which subplot within the plot is considered
Data group: Sub plot id
Values
11a
10b
11b
10a
10c
diversity
Number of target tree species present in subplot
Data group: Species richness
Keywords: diversity
Values
4
2
3
1
target Picea abies
Absence/presence of Picea abies in overstorey as target tree species
Data group: Presence data
Values
1
0
target Abies alba
Absence/presence of Abies alba in overstorey as target tree species
Data group: Presence data
Values
0
1
target Fagus sylvatica
Absence/presence of Fagus sylvatica in overstorey as target tree species
Data group: Presence data
Values
1
0
target Acer pseudoplatanus
Absence/presence of Acer pseudoplatanus 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
0.052
0
0.004
0.008
0.007
P non-woody
P content of non-woody biomass present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, P
Values
1061.8381430363866
1016.1723700887198
1073.160422670509
1049.8839458413927
1038.292307692308
* 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
38.919
39.526
38.385
39.128
37.382
* 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
1.365
1.578
1.615
1.343
1.638
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn 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
0.032
0.027
0.038
0
0.057
* 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
1046.5012406947892
1010.0334224598931
1074.7166666666665
1081.4629847238543
1069.4189765458423
* These persons could not be matched within the portal: Luc Willems, 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
43.046
44.38
43.859
44.442
44.379
* These persons could not be matched within the portal: Luc Willems, 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
1.206
1.34
1.294
1.329
1.331
* These persons could not be matched within the portal: Luc Willems, 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
0.125
0.086
0.066
0.033
* 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
1025.037558685446
1077.016317016317
1095.5719794344473
1083.5416666666667
1421.3772455089818
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
C woody-W
C content of woody biomass (part branches) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, C
Values
44.033
44.821
45.934
45.525
46.028
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
N woody-W
N content of woody biomass (part branches) present in biomass sample
Data group: Biomass nutrient concentration
Keywords: process, N
Values
0.497
0.59
0.523
0.573
0.508
* These persons could not be matched within the portal: Luc Willems, Greet De bruyn also contributed to this column.
Remarks
Remarks
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 (corner of the origin)
subplot placed on different location (lower)