Towards a more balanced combination of multiple traits when computing functional differences between species

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43904208" target="_blank" >RIV/60076658:12310/21:43904208 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60077344:_____/21:00536345 RIV/67985939:_____/21:00536345

Výsledek na webu

<a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13537" target="_blank" >https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13537</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/2041-210X.13537" target="_blank" >10.1111/2041-210X.13537</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards a more balanced combination of multiple traits when computing functional differences between species

Popis výsledku v původním jazyce

Functional trait differences between species are key drivers of community assembly and ecosystem functioning. Quantifying these differences routinely requires using approaches like the Gower distance to combine various types of traits into a multi-trait dissimilarity. Without special care, the Gower distance can however produce a multi-trait dissimilarity with a disproportional contribution of certain traits, particularly categorical traits and bundle of correlated traits reflecting similar ecological functions. These effects persist even after applying multivariate analyses traditionally used to reduce trait dimensionality. We propose the &apos;gawdis&apos; R function, and corresponding package, to produce multi-trait dissimilarity with more uniform contributions of different traits, including fuzzy coded ones. The approach is based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytical or a numerical solution, both available in the function. Properly taking into account the contribution of multiple traits into multi-trait dissimilarity is key for interpreting the ecological effects of complex species differences. The gawdis r package in CRAN can be further applied to improve equitability in distance-based measures in other field of research, such as social sciences or marketing surveys, which routinely analyse mixed type data.

Název v anglickém jazyce

Towards a more balanced combination of multiple traits when computing functional differences between species

Popis výsledku anglicky

Functional trait differences between species are key drivers of community assembly and ecosystem functioning. Quantifying these differences routinely requires using approaches like the Gower distance to combine various types of traits into a multi-trait dissimilarity. Without special care, the Gower distance can however produce a multi-trait dissimilarity with a disproportional contribution of certain traits, particularly categorical traits and bundle of correlated traits reflecting similar ecological functions. These effects persist even after applying multivariate analyses traditionally used to reduce trait dimensionality. We propose the &apos;gawdis&apos; R function, and corresponding package, to produce multi-trait dissimilarity with more uniform contributions of different traits, including fuzzy coded ones. The approach is based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytical or a numerical solution, both available in the function. Properly taking into account the contribution of multiple traits into multi-trait dissimilarity is key for interpreting the ecological effects of complex species differences. The gawdis r package in CRAN can be further applied to improve equitability in distance-based measures in other field of research, such as social sciences or marketing surveys, which routinely analyse mixed type data.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GA20-17282S" target="_blank" >GA20-17282S: Účinky biotických interakcí v různých prostorových měřítkách v tropickém a temperátním lese</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Methods in Ecology and Evolution

ISSN

2041-210X

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

443-448

Kód UT WoS článku

000598661800001

EID výsledku v databázi Scopus

2-s2.0-85097564767