Table of Contents
Forest vegetation data from Vltava river valley
Source of data
Zelený & Chytrý (2007)
Description of the dataset
Vegetation plots, located at even distances along transects following the steep valley slopes of Vltava river valley, collected during 2001-2003. Each transect starts at the valley bottom and ends up at the upper part of the valley slope. Altogether 97 plots located in 27 transects were collected, each of the size 10×15 m. In each plot, all tree, shrub and herb species were recorded and their abundances were estimated using 9-degree ordinal Braun-Blanquette scale (these values were consequently transformed into percentage scale). At each plot, various topographical and soil factors were measured or estimated.
Locality
Vltava river valley close to Zlatá Koruna, Český Krumlov, Czech Republic. The transects follow the slopes of various aspect, and only the sites with natural or semi-natural forest vegetation were selected (no forest plantations).
The file with coordinates, which can be opened in Google Earth: vltava.kml 1)
Environmental variables
Name of variable | Description |
---|---|
PLOT | plot number |
ELEVATION | elevation [m a.s.l.] |
SLOPE | slope [°] |
ASPSSW | aspect (deviation of plot aspect from 22.5°, reaching the highest values in SSW orientation) |
HEAT.LOAD | heat load, calculated from plot slope and aspect (McCune & Keon 2002) |
SURFSL | landform shape in the downslope direction (three-degree ordinal scale: -1 concave, 0 flat, 1 convex) |
SURFIS | landform shape along the isohypse (three-degree ordinal scale: -1 concave, 0 flat, 1 convex) |
LITHIC | lithic leptosols (shallow soils near rock outcrops) |
SKELETIC | skeletic and hyperskeletic leptosols (stony soils on scree accumulatons) |
CAMBISOL | cambisols (well-developed zonal soils) |
FLUVISOL | fluvisols (water-influenced soils formed from alluvial deposits) |
SOILDPT | “soil depth [cm], measured by 0.7 m long iron rod (1.5 cm diameter) - average of 5 values measured in 5 places within the plot |
pH | soil pH (measured in water solution) |
COVERE32 | estimated cover of tree and shrub layer [%] (merged tree and shrub estimations, using formula p.tree + p.shrub - p.tree*p.shrub |
COVERE3 | estimated cover of tree layer [%] |
COVERE2 | estimated cover of shrub layer [%] |
COVERE1 | estimated cover of herb layer [%] |
COVERE0 | estimated cover of moss layer [%] |
GROUP | four vegetation types (groups of samples), determined by numerical classification (using Vltava data with herbs + merged trees and shrubs, Ward clustering with Euclidean distance applied on log1p transformed species composition data) |
SPEC.NO | number of species per plot (herbs + merged trees and shrubs) |
TBV.NO | Turboveg number - unique identifier under which the plot is stored in Czech National Phytosociological Database (http://www.sci.muni.cz/botany/vegsci/dbase.php?lang=en) |
TRANSECT | transect number |
LIGHT | mean Ellenberg indicator values for light, calculated as unweighted mean from data in Vltava spe (herbs + merged trees and shrubs) |
TEMP | mean Ellenberg indicator values for temperature, calculated as unweighted mean from data in Vltava spe (herbs + merged trees and shrubs) |
CONT | mean Ellenberg indicator values for continentality, calculated as unweighted mean from data in Vltava spe (herbs + merged trees and shrubs) |
MOIST | mean Ellenberg indicator values for moisture, calculated as unweighted mean from data in Vltava spe (herbs + merged trees and shrubs) |
REACT | mean Ellenberg indicator values for soil reaction calculated as unweighted mean from data in Vltava spe (herbs + merged trees and shrubs) |
NUTR | mean Ellenberg indicator values for nutrients, calculated as unweighted mean from data in Vltava spe (herbs + merged trees and shrubs) |
Data for download
File name | File type | Description |
---|---|---|
vltava.xlsx | Excel file | Contains species × sample matrix, environmental variables, explanation of species abbreviations and metadata |
vltava-spe.txt | tab-delimited txt format | Sample × species matrix (97 samples in rows, 274 species in columns) |
vltava-env.txt | tab-delimited txt format | Environmental variable matrix (samples in rows, variables in columns) |
vltava.cep | canoco condensed file | Species × sample matrix in CANOCO format |
vltava.RData | r object file | An R object, a list with six components (see below for detail description) |
Script for direct import of data to R
Compositional and environmental data (for all species)
vltava.spe <- read.delim ('https://raw.githubusercontent.com/zdealveindy/anadat-r/master/data/vltava-spe.txt', row.names = 1) vltava.env <- read.delim ('https://raw.githubusercontent.com/zdealveindy/anadat-r/master/data/vltava-env.txt')
Ellenberg indicator values for species in the dataset (for all species)
vltava.ell <- read.delim ('https://raw.githubusercontent.com/zdealveindy/anadat-r/master/data/vltava-ell.txt', row.names = 1)
All Vltava dataset matrices as a single R object (list ''vltava'')
load (url ('https://raw.githubusercontent.com/zdealveindy/anadat-r/master/data/vltava.RData'))
The vltava
object which will be loaded into the working space is a list with seven components:
spe
- Compositional matrix of all species in merged layers (sample x species, percentage cover scale)eiv
- Species Ellenberg indicator values (species x Ellenberg values for light, temperature, continentality, moisture, reaction and nutrients, compiled from Ellenberg et al. 1992).civ
- Species Ellenberg-type indicator values (species x Ellenberg-type values forlight
,temp
erature,moist
ure,react
ion andnutr
ients, compiled from Chytrý et al. 2018, and also values including generalists -light_all
,temp_all
,moist_all
,react_all
andnutr_all
).env
- Environmental variables (see Details above).spnames
- Data frame with two columns: Full.species.name - original species names, and Layer - vegetation layer, in which the species occur (1 - herb layer, 23 - shrub or/and tree layer)herbs
- A list with the following items, related only to the subset of herb species:spe
- Compositional matrix of herb species (sample x species, percentage cover scale)eiv
- Species Ellenberg indicator values for herb species (species x Ellenberg values for light, temperature, continentality, moisture, reaction and nutrients)civ
- Species Ellenberg-type indicator values for herb species (species x Ellenberg-type values forlight
,temp
erature,moist
ure,react
ion andnutr
ients, compiled from Chytrý et al. 2018, and also values including generalists -light_all
,temp_all
,moist_all
,react_all
andnutr_all
).traits
- Species functional traits for plant height (compiled from Czech flora, Kubat et al. 2002), specific leaf area (SLA) and seed weight (compiled from LEDA database, Kleyer et al. 2008).spnames
- Data frame with two columns: Full.species.name - original species names, and Layer - vegetation layer, in which the species occur (1 - herb layer)
all
- A list with the following items, related to matrix with all species (trees, shrubs, herbs and juveniles)spe
- Compositional matrix of all species (sample x species, percentage cover scale)spnames
- Data frame with two columns: Full.species.name - original species names, and Layer - vegetation layer, in which the species occur (3 - tree layer, 2 - shrub layer, 1 - herb layer, J - juveniles of woody species)
References
- Ellenberg, H., Weber, H.E., Düll, R., Wirth, V., Werner, W. & Paulissen, D. 1992. Zeigerwerte von Pflanzen in Mitteleuropa. Second Edition. Scripta Geobotanica 18: 1–248.
- Kleyer, M., Bekker, R.M., Knevel, I.C., Bakker, J.P., Thompson, K., Sonnenschein, M., Poschlod, P., van Groenendael, J.M., Klimes, L., Klimesova, J., Klotz, S., Rusch, G.M., Hermy, M., Adriaens, D., Boedeltje, G., Bossuyt, B., Dannemann, A., Endels, P., Gotzenberger, L., Hodgson, J.G., Jackel, A.K., Kuhn, I., Kunzmann, D., Ozinga, W.A., Romermann, C., Stadler, M., Schlegelmilch, J., Steendam, H.J., Tackenberg, O., Wilmann, B., Cornelissen, J.H.C., Eriksson, O., Garnier, E. & Peco, B. 2008. The LEDA Traitbase: a database of life-history traits of the Northwest European flora. Journal of Ecology 96: 1266–1274.
- Zelený, D. & Chytrý, M. 2007. Environmental control of vegetation pattern in deep river valleys of the Bohemian Massif. Preslia 79: 205-222. pdf