Central-European vegetation types and their optima along
successional gradient

J 2020

Central-European vegetation types and their optima along successional gradient

TICHÝ, Lubomír; Klara REHOUNKOVA; Kamila VITOVCOVA a Karel PRACH

Základní údaje

Originální název

Central-European vegetation types and their optima along successional gradient

Autoři

TICHÝ, Lubomír; Klara REHOUNKOVA; Kamila VITOVCOVA a Karel PRACH

Vydání

Preslia, Praha, Czech Botanical Society, 2020, 0032-7786

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10618 Ecology

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.167

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/20:00117754

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

disturbance; Huisman-Olff-Fresco models; succession; temporal gradient; vegetation alliances; vegetation classification

Štítky

14314020, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 14. 1. 2021 09:25, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Although the identification of plant communities is the basic language of communication, studies that focus on the classification of vegetation in successional series are rather rare, mainly because it is difficult to identify different types of vegetation. Thanks to formalized algorithms of machine learning, we were able to assign some of vegetation plots stored in a Database of Successional Series (DaSS) to alliances in the vegetation classification system. Of the samples in DaSS 67.4% were classified into 96 vegetation alliances. Classification of the seral stages was then used to predict optima and intervals of occurrence of 33 main types of vegetation in the first 70 years from the onset of succession. In accordance with general expectations, main types of vegetation were arranged at the time-scale from ruderal and segetal vegetation, across grasslands to shrubby and forest vegetation. Successional optima of particular units of vegetation can be used to roughly predict the successional changes at human-disturbed sites in central Europe.

Citovat

TICHÝ, Lubomír; Klara REHOUNKOVA; Kamila VITOVCOVA a Karel PRACH. Central-European vegetation types and their optima along successional gradient. Preslia. Praha: Czech Botanical Society, 2020, roč. 92, č. 4, s. 341-352. ISSN 0032-7786. Dostupné z: https://doi.org/10.23855/preslia.2020.341.

@article{1727995,
   author = {Tichý, Lubomír and Rehounkova, Klara and Vitovcova, Kamila and Prach, Karel},
   article_location = {Praha},
   article_number = {4},
   doi = {https://doi.org/10.23855/preslia.2020.341},
   keywords = {disturbance; Huisman-Olff-Fresco models; succession; temporal gradient; vegetation alliances; vegetation classification},
   language = {eng},
   issn = {0032-7786},
   journal = {Preslia},
   title = {Central-European vegetation types and their optima along successional gradient},
   url = {http://www.preslia.cz/doi/preslia.2020.341.html},
   volume = {92},
   year = {2020}
}

TY  - JOUR
ID  - 1727995
AU  - Tichý, Lubomír - Rehounkova, Klara - Vitovcova, Kamila - Prach, Karel
PY  - 2020
TI  - Central-European vegetation types and their optima along successional gradient
JF  - Preslia
VL  - 92
IS  - 4
SP  - 341-352
EP  - 341-352
PB  - Czech Botanical Society
SN  - 00327786
KW  - disturbance
KW  - Huisman-Olff-Fresco models
KW  - succession
KW  - temporal gradient
KW  - vegetation alliances
KW  - vegetation classification
UR  - http://www.preslia.cz/doi/preslia.2020.341.html
L2  - http://www.preslia.cz/doi/preslia.2020.341.html
N2  - Although the identification of plant communities is the basic language of communication, studies that focus on the classification of vegetation in successional series are rather rare, mainly because it is difficult to identify different types of vegetation. Thanks to formalized algorithms of machine learning, we were able to assign some of vegetation plots stored in a Database of Successional Series (DaSS) to alliances in the vegetation classification system. Of the samples in DaSS 67.4% were classified into 96 vegetation alliances. Classification of the seral stages was then used to predict optima and intervals of occurrence of 33 main types of vegetation in the first 70 years from the onset of succession. In accordance with general expectations, main types of vegetation were arranged at the time-scale from ruderal and segetal vegetation, across grasslands to shrubby and forest vegetation. Successional optima of particular units of vegetation can be used to roughly predict the successional changes at human-disturbed sites in central Europe.
ER  -

TICHÝ, Lubomír; Klara REHOUNKOVA; Kamila VITOVCOVA a Karel PRACH. Central-European vegetation types and their optima along successional gradient. \textit{Preslia}. Praha: Czech Botanical Society, 2020, roč.~92, č.~4, s.~341-352. ISSN~0032-7786. Dostupné z: https://doi.org/10.23855/preslia.2020.341.

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