2024-03-29T09:26:49Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1864902020-05-18T11:43:42Zcom_10261_88com_10261_8col_10261_341
A Randomized Trait Community Clustering approach to unveil consistent environmental thresholds in community assembly
Triadó-Margarit, Xavier
Capitán, José A.
Menéndez-Serra, Mateu
Ortiz-Álvarez, Rüdiger
Ontiveros, Vicente J.
Casamayor, Emilio O.
Alonso, David
Este artículo contiene 9 páginas, 4 figuras.
Similarities and differences of phenotypes within local co-occurring species hold the key to inferring the contribution of
stochastic or deterministic processes in community assembly. Developing both phylogenetic-based and trait-based
quantitative methods to unravel these processes is a major aim in community ecology. We developed a trait-based approach
that: (i) assesses if a community trait clustering pattern is related to increasing environmental constraints along a gradient;
and (ii) determines quantitative thresholds for an environmental variable along a gradient to interpret changes in prevailing
community assembly drivers. We used a regional set of natural shallow saline ponds covering a wide salinity gradient
(0.1–40% w/v). We identify a consistent discrete salinity threshold (ca. 5%) for microbial community assembly drivers.
Above 5% salinity a strong environmental filtering prevailed as an assembly force, whereas a combination of biotic and
abiotic factors dominated at lower salinities. This method provides a conceptual approach to identify consistent
environmental thresholds in community assembly and enables quantitative predictions for the ecological impact of
environmental changes.
This work was funded by the Spanish
"Ministerio de Economía y Competitividad" under the projects
BRIDGES (CGL2015-69043-P, to EOC and DA), and the Ramón
y Cajal Fellowship program (DA). Both VJO and MM-S have been
supported by Ph.D. contracts funded by the Spanish "Ministerio de
Economía y Competitividad" under the projects BRIDGES and
SITES (CGL2015-69043-P, CGL2012-39964 to EOC and DA).
Peer reviewed
2019-07-22T10:30:36Z
2019-07-22T10:30:36Z
2019
artículo
http://purl.org/coar/resource_type/c_6501
The ISME Journal : doi:10.1038/s41396-019-0454-4
1751-7362
http://hdl.handle.net/10261/186490
1751-7370
en
https://doi.org/10.1038/s41396-019-0454-4
Sí
none
Nature Publishing Group