Detailed Information on Publication Record
2018
High-resolution and large-extent mapping of plant species richness using vegetation-plot databases
DIVÍŠEK, Jan and Milan CHYTRÝBasic information
Original name
High-resolution and large-extent mapping of plant species richness using vegetation-plot databases
Authors
DIVÍŠEK, Jan (203 Czech Republic, guarantor, belonging to the institution) and Milan CHYTRÝ (203 Czech Republic, belonging to the institution)
Edition
Ecological Indicators, Elsevier B.V. 2018, 1470-160X
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10611 Plant sciences, botany
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.490
RIV identification code
RIV/00216224:14310/18:00100871
Organization unit
Faculty of Science
UT WoS
000430760900079
Keywords in English
Alpha diversity; Czech Republic; Diversity hotspots; Forests; Grasslands; Plant communities; Predictive modelling; Red List species
Tags
International impact, Reviewed
Změněno: 4/1/2019 16:47, prof. RNDr. Milan Chytrý, Ph.D.
Abstract
V originále
The recent increase in the availability of large vegetation-plot databases has created unprecedented opportunities for analysing and explaining patterns of fine-scale plant species richness across large areas and for individual habitat types. Here we demonstrate how these data can be used to (1) prepare country-wide high-resolution maps of species richness and identify national diversity hotspots for grassland and forest vegetation; (2) compare diversity patterns of all, native, alien and Red List species; and (3) identify potential environmental drivers of these patterns. At the same time we examine and quantify the stability of predicted species-richness patterns with respect to the most common biases that are inherent to large vegetation-plot databases. Vegetation-plot records were obtained from the Czech National Phytosociological Database and the Random Forest method was used to map fine-scale spatial diversity patterns of all, native, alien and Red List vascular plant species, separately for grasslands and forests across the Czech Republic. The stability of the predicted species-richness patterns was tested using differently resampled datasets in which we either reduced or increased local oversampling and preferential sampling of more species-rich communities. Models for grassland and forest vegetation explained 40–65% of variation in fine-scale species richness. Spatial patterns of all and native species richness differed considerably between grasslands and forests, whereas alien and Red List species showed a higher congruence between these two vegetation types. Patterns of modelled species richness were highly stable with respect to all resampling strategies applied to the initial datasets. We conclude that vegetation-plot databases are a valuable source of data for high-resolution mapping of the plant species richness of different vegetation types and species groups, because each of them can exhibit a different diversity pattern. The resulting maps provide robust representation of the spatial patterns of fine-scale species richness and can be used both for testing scientific hypotheses about the controls of diversity patterns and for conservation planning.
Links
| GB14-36079G, research and development project |
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