Towards unification of national vegetation classifications: A comparison of two methods for analysis of large datasets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F00%3A00003421" target="_blank" >RIV/00216224:14310/00:00003421 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Towards unification of national vegetation classifications: A comparison of two methods for analysis of large datasets

Popis výsledku v původním jazyce

In European phytosociology, national classifications of corresponding vegetation types show considerable differences even between neighbouring countries. Therefore, the European Vegetation Survey project urgently needs numerical classification methods for large datasets that are able to produce compatible classifications using datasets from different countries. We tested the ability of two methods, TWINSPAN and COCKTAIL, to produce similar classifications of wet meadows (Calthion, incl. Filipendulenion)for Germany (7909 relevés) and the Czech Republic (1287 relevés) in this respect. In TWINSPAN, the indicator ordination option was used for classification of two national datasets, and the extracted assignment criteria (indicator species) were applied crosswise from one to the other national dataset. Although the datasets presumably contained similar community types, TWINSPAN revealed almost no correspondence between the groups derived from the proper classification of the national datas

Název v anglickém jazyce

Towards unification of national vegetation classifications: A comparison of two methods for analysis of large datasets

Popis výsledku anglicky

In European phytosociology, national classifications of corresponding vegetation types show considerable differences even between neighbouring countries. Therefore, the European Vegetation Survey project urgently needs numerical classification methods for large datasets that are able to produce compatible classifications using datasets from different countries. We tested the ability of two methods, TWINSPAN and COCKTAIL, to produce similar classifications of wet meadows (Calthion, incl. Filipendulenion)for Germany (7909 relevés) and the Czech Republic (1287 relevés) in this respect. In TWINSPAN, the indicator ordination option was used for classification of two national datasets, and the extracted assignment criteria (indicator species) were applied crosswise from one to the other national dataset. Although the datasets presumably contained similar community types, TWINSPAN revealed almost no correspondence between the groups derived from the proper classification of the national datas

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

<a href="/cs/project/GA206%2F99%2F1523" target="_blank" >GA206/99/1523: Parametrizace fytocenologického systému pomocí velkých souborů dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2000

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Vegetation Science

ISSN

110-9233

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

SE - Švédské království

Počet stran výsledku

306

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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