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Seasonal patterns of taxonomic and functional beta diversity in submerged macrophytes at a fine scale

Authors :
Hao Wang
Hui Fu
Zihao Wen
Changbo Yuan
Xiaolin Zhang
Leyi Ni
Te Cao
Source :
Ecology and Evolution, Vol 11, Iss 14, Pp 9827-9836 (2021)
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Abstract Spatiotemporal variation in community composition is of considerable interest in ecology. However, few studies have focused on seasonal variation patterns in taxonomic and functional community composition at the fine scale. As such, we conducted seasonal high‐density sampling of the submerged macrophyte community in Hongshan Bay of Erhai Lake in China and used the generalized dissimilarity model (GDM) to evaluate the effects of environmental factors and geographic distance on taxonomic and functional beta diversity as well as corresponding turnover and nestedness components. At the fine scale, taxonomic turnover and nestedness as well as functional turnover and nestedness showed comparable contributions to corresponding taxonomic and functional beta diversity, with different importance across seasons. All taxonomic and functional dissimilarity metrics showed seasonal variation. Of note, taxonomic beta diversity was highest in summer and lowest in winter, while functional beta diversity showed the opposite pattern. Taxonomic and functional turnover showed similar change patterns as taxonomic and functional beta diversity. Taxonomic nestedness was low in summer and high in winter. Functional nestedness was also lower in summer. These results suggest that under extreme environmental conditions, both turnover and nestedness can exist at the fine scale and seasonal community composition patterns in submerged macrophytes should be considered. Future investigations on community assembly mechanisms should pay greater attention to long‐term dynamic characteristics and functional information.

Details

Language :
English
ISSN :
20457758
Volume :
11
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.46b97070a7b4afeb83dab332dc769a4
Document Type :
article
Full Text :
https://doi.org/10.1002/ece3.7811