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@article{928657,
author = {Michalcová, Dana and Chytrý, Milan and Lvončík, Samuel and Hájek, Ondřej},
article_number = {2},
keywords = {Alpha diversity; Beta diversity; Endangered species; Invasive species; Neophytes; Ordination; Parameter estimation; Relevé; Sample-based rarefaction; Species number; Stratification; Subjectivity},
language = {eng},
issn = {1100-9233},
journal = {Journal of Vegetation Science},
title = {Bias in vegetation databases? A comparison of stratified-random and preferential sampling},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2010.01249.x/abstract},
volume = {22},
year = {2011}
}
TY - JOUR
ID - 928657
AU - Michalcová, Dana - Chytrý, Milan - Lvončík, Samuel - Hájek, Ondřej
PY - 2011
TI - Bias in vegetation databases? A comparison of stratified-random and preferential sampling
JF - Journal of Vegetation Science
VL - 22
IS - 2
SP - 281-291
EP - 281-291
PB - Wiley-Blackwell
SN - 11009233
KW - Alpha diversity
KW - Beta diversity
KW - Endangered species
KW - Invasive species
KW - Neophytes
KW - Ordination
KW - Parameter estimation
KW - Relevé
KW - Sample-based rarefaction
KW - Species number
KW - Stratification
KW - Subjectivity
UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2010.01249.x/abstract
N2 - Aim: Vegetation plots collected since the early 20th century and stored in large vegetation databases are an important source of ecological information. These databases are used for analyses of vegetation diversity and estimation of vegetation parameters, however such analyses can be biased due to preferential sampling of the original data. In contrast, modern vegetation survey increasingly uses stratified-random instead of preferential sampling. To explore how these two sampling schemes affect vegetation analyses, we compare parameters of vegetation diversity based on preferentially sampled plots from a large vegetation database with those based on stratified-random sampling. Location: Moravian Karst and Silesia, Czech Republic. Methods: We compared two parallel analyses of forest vegetation, one based on preferentially sampled plots taken from a national vegetation database and the other on plots sampled in the field according to a stratified-random design. We repeated this comparison for two different regions in the Czech Republic. We focussed on vegetation properties commonly analysed using data from large vegetation databases, including alpha (within-plot) diversity, cover and participation of different species groups, such as endangered and alien species within plots, total species richness of data sets, beta diversity and ordination patterns. Results: The preferentially sampled data sets obtained from the database contained more endangered species and had higher beta diversity, whereas estimates of alpha diversity and representation of alien species were not consistently different between preferentially and stratified-randomly sampled data sets. In ordinations, plots from the preferential samples tended to be more common at margins of plot scatters. Conclusions: Vegetation data stored in large databases are influenced by researcher subjectivity in plot positioning, but we demonstrated that not all of their properties necessarily differ from data sets obtained by stratified-random sampling. This indicates the value of vegetation databases for use in biodiversity studies; however, some analyses based on these databases are clearly biased and their results must be interpreted with caution.
ER -
MICHALCOVÁ, Dana, Milan CHYTRÝ, Samuel LVONČÍK and Ondřej HÁJEK. Bias in vegetation databases? A comparison of stratified-random and preferential sampling. \textit{Journal of Vegetation Science}. Wiley-Blackwell, 2011, vol.~22, No~2, p.~281-291. ISSN~1100-9233.
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