Unveiling ecological assembly rules from commonalities in trait distributions

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Unveiling ecological assembly rules from commonalities in trait distributions
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10618 - Ecology

Project
<a href="/en/project/GA17-19376S" target="_blank" >GA17-19376S: Ecological and Evolutionary Responses of Plants to Climate Change: Growth Analysis across Ecosystems and Evolutionary Linkages</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)