Unveiling ecological assembly rules from commonalities in trait distributions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F21%3A00554326" target="_blank" >RIV/67985939:_____/21:00554326 - isvavai.cz</a>

Výsledek na webu

<a href="http://hdl.handle.net/11104/0328957" target="_blank" >http://hdl.handle.net/11104/0328957</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ele.13789" target="_blank" >10.1111/ele.13789</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unveiling ecological assembly rules from commonalities in trait distributions

Popis výsledku v původním jazyce

Deciphering the effect of neutral and deterministic processes on community assembly is critical to understand and predict diversity patterns. The information held in community trait distributions is commonly assumed as a signature of these processes, but empirical and modelling attempts have most often failed to untangle their confounding, sometimes opposing, impacts. Here, we simulated the assembly of trait distributions through stochastic (dispersal limitation) and/or deterministic scenarios (environmental filtering and niche differentiation). We characterized the shape of trait distributions using the skewness-kurtosis relationship. We identified commonalities in the co-variation between the skewness and the kurtosis of trait distributions with a unique signature for each simulated assembly scenario. Our findings were robust to variation in the composition of regional species pools, dispersal limitation and environmental conditions. While ecological communities can exhibit a high degree of idiosyncrasy, identification of commonalities across multiple communities can help to unveil ecological assembly rules in real-world ecosystems.

Název v anglickém jazyce

Unveiling ecological assembly rules from commonalities in trait distributions

Popis výsledku anglicky

Deciphering the effect of neutral and deterministic processes on community assembly is critical to understand and predict diversity patterns. The information held in community trait distributions is commonly assumed as a signature of these processes, but empirical and modelling attempts have most often failed to untangle their confounding, sometimes opposing, impacts. Here, we simulated the assembly of trait distributions through stochastic (dispersal limitation) and/or deterministic scenarios (environmental filtering and niche differentiation). We characterized the shape of trait distributions using the skewness-kurtosis relationship. We identified commonalities in the co-variation between the skewness and the kurtosis of trait distributions with a unique signature for each simulated assembly scenario. Our findings were robust to variation in the composition of regional species pools, dispersal limitation and environmental conditions. While ecological communities can exhibit a high degree of idiosyncrasy, identification of commonalities across multiple communities can help to unveil ecological assembly rules in real-world ecosystems.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GA17-19376S" target="_blank" >GA17-19376S: Ekologické a evoluční odpovědi rostlin na klimatické změny: analýza růstových změn napříč ekosystémy a evolučními liniemi</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Ecology Letters

ISSN

1461-023X

e-ISSN

1461-0248

Svazek periodika

24

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

13

Strana od-do

1668-1680

Kód UT WoS článku

000661429400001

EID výsledku v databázi Scopus

2-s2.0-85107827487