Trait-based community assembly of epiphytic diatoms in saline astatic ponds: a test of the stress-dominance hypothesis.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
31 10 2019
Historique:
received: 23 05 2019
accepted: 16 10 2019
entrez: 2 11 2019
pubmed: 2 11 2019
medline: 4 11 2020
Statut: epublish

Résumé

The stress dominance hypothesis (SDH) postulates that strong environmental gradients drive trait convergence in communities over limiting similarity. Previous studies, conducted mostly with terrestrial plant communities, found controversial evidence for this prediction. We provide here the first test for SDH for epiphytic diatoms. We studied community assembly in diatom communities of astatic ponds. These water bodies serve as a good model system for testing SDH because they exhibit stress gradients of various environmental factors. Functional diversity of diatom communities was assessed based on four traits: (1) combined trait reflecting the trade-off between stress tolerance and competitive dominance, (2) cell size, (3) oxygen requirement and (4) N-uptake strategy. According to our results, salinity, pH and the width of the macrophyte belt appeared as significant predictors of the trait convergence/divergence patterns presumably acting through influencing the availability of carbon dioxide and turbidity. Lower trait diversity was found in turbid, more saline and more alkaline ponds and functional diversity was higher in transparent, less saline and less alkaline ponds. Overall, our results supported the stress dominance hypothesis. In habitats representing increased environmental stress, environmental filtering was the most important community assembly rule, while limiting similarity became dominant under more favourable conditions.

Identifiants

pubmed: 31673074
doi: 10.1038/s41598-019-52304-4
pii: 10.1038/s41598-019-52304-4
pmc: PMC6823390
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

15749

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Auteurs

Éva Ács (É)

MTA Centre for Ecological Research, Danube Research Institute, Karolina út 29, H-1113, Budapest, Hungary. acs.eva@okologia.mta.hu.
National University of Public Service, Faculty of Water Sciences, 6500, Baja, Bajcsy-Zsilinszky utca 12-14, Hungary. acs.eva@okologia.mta.hu.

Angéla Földi (A)

MTA Centre for Ecological Research, Danube Research Institute, Karolina út 29, H-1113, Budapest, Hungary.
Doctoral School of Environmental Sciences, Eötvös Lóránd University, Budapest, Hungary.

Csaba Ferenc Vad (CF)

Wasser Cluster Lunz, Dr. Carl Kupelwieser Promenade 5, A-3293, Lunz am See, Austria.

Zsuzsa Trábert (Z)

MTA Centre for Ecological Research, Danube Research Institute, Karolina út 29, H-1113, Budapest, Hungary.
Doctoral School of Environmental Sciences, Eötvös Lóránd University, Budapest, Hungary.

Keve Tihamér Kiss (KT)

MTA Centre for Ecological Research, Danube Research Institute, Karolina út 29, H-1113, Budapest, Hungary.

Mónika Duleba (M)

MTA Centre for Ecological Research, Danube Research Institute, Karolina út 29, H-1113, Budapest, Hungary.
MTA Centre for Ecological Research, Sustainable Ecosystems Group, Klebelsberg Kuno u. 3, H-8237, Tihany, Hungary.

Gábor Borics (G)

MTA Centre for Ecological Research, Danube Research Institute, Karolina út 29, H-1113, Budapest, Hungary.

István Grigorszky (I)

University of Debrecen, Department of Hydrobiology, Egyetem tér 1., H-4032, Debrecen, Hungary.

Zoltán Botta-Dukát (Z)

MTA Centre for Ecological Research, Sustainable Ecosystems Group, Klebelsberg Kuno u. 3, H-8237, Tihany, Hungary.
MTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4., H-2163, Vácrátót, Hungary.

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Classifications MeSH