Too good to be true: Pitfalls of using mean Ellenberg indicator values in vegetation analyses

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00057357" target="_blank" >RIV/00216224:14310/12:00057357 - isvavai.cz</a>

Výsledek na webu

<a href="http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2011.01366.x/abstract" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2011.01366.x/abstract</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/j.1654-1103.2011.01366.x" target="_blank" >10.1111/j.1654-1103.2011.01366.x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Too good to be true: Pitfalls of using mean Ellenberg indicator values in vegetation analyses

Popis výsledku v původním jazyce

Question: Mean Ellenberg indicator values (EIVs) may inherit information about compositional similarity, as during their calculation species abundances (or presence-absences) are used as weights. Can this similarity issue actually be demonstrated, does it bias results of vegetation analyses correlating mean EIVs with other aspects of species composition and how often are biased studies published? Methods: In order to separate information on compositional similarity possibly present in mean EIVs, a new variable was introduced, calculated as a weighted average of randomised species EIVs. The performance of these mean randomized EIVs was compared with that of the mean real EIVs on the one hand and random values (randomized mean EIVs) on the other. To demonstrate the similarity issue, differences between samples were correlated with similarity matrices based on various indices.

Název v anglickém jazyce

Too good to be true: Pitfalls of using mean Ellenberg indicator values in vegetation analyses

Popis výsledku anglicky

Question: Mean Ellenberg indicator values (EIVs) may inherit information about compositional similarity, as during their calculation species abundances (or presence-absences) are used as weights. Can this similarity issue actually be demonstrated, does it bias results of vegetation analyses correlating mean EIVs with other aspects of species composition and how often are biased studies published? Methods: In order to separate information on compositional similarity possibly present in mean EIVs, a new variable was introduced, calculated as a weighted average of randomised species EIVs. The performance of these mean randomized EIVs was compared with that of the mean real EIVs on the one hand and random values (randomized mean EIVs) on the other. To demonstrate the similarity issue, differences between samples were correlated with similarity matrices based on various indices.

Druh

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

CEP obor

EF - Botanika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP505%2F11%2F0732" target="_blank" >GAP505/11/0732: Zobecněná řízená klasifikace v ekologii společenstev</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Journal of Vegetation Science

ISSN

1100-9233

e-ISSN

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Svazek periodika

23

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

419-431

Kód UT WoS článku

000303042300003

EID výsledku v databázi Scopus

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