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      Geomorphological habitat type drives variation in temporal species turnover but not temporal nestedness in Amazonian fish assemblages

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          Abstract

          Explaining the mechanisms underlying spatial and temporal variation in community composition is a major challenge. Nevertheless, the processes controlling temporal variation at a site (i.e. temporal β‐diversity, including its turnover and nestedness components) are less understood than those affecting variation among sites (i.e. spatial β‐diversity). Short‐term temporal turnover (e.g. throughout an annual cycle) is expected to correlate positively with seasonal environmental variability and landscape connectivity, but also species pool size (γ‐diversity). We use the megadiverse Amazonian freshwater ichthyofauna as a model to ask whether seasonality and landscape connectivity drive variation in temporal species turnover among geomorphological habitat types, while accounting for between‐habitat variation in γ‐diversity. We collected 11 397 fish representing 260 species during a year‐long sampling program from an area containing the lowland Amazon's four major geomorphological habitat types: rivers, floodplains, terra firme streams, and shield streams. River‐floodplain systems exhibit strong but predictable seasonality (via a high‐amplitude annual flood pulse), high connectivity, and high species richness with many rare species. Terra firme and shield streams exhibit low seasonality, low connectivity, and low species richness with proportionally fewer rare species. Based on these parameters we predicted that river‐floodplain systems should have higher temporal turnover than stream systems. Using a null model approach combined with β‐deviation calculations, we confirmed that rivers and floodplains do exhibit higher turnover (but not nestedness) than terra firme and shield streams, even when controlling for the potentially confounding effect of higher species richness in river‐floodplain systems. All habitats exhibit low temporal nestedness, indicating that short‐term changes in community composition result primarily from temporal species turnover. Our results provide a timely reminder that efforts to conserve the Amazon's threatened aquatic biodiversity should account for the distinct temporal dynamics of habitat types and variation in hydrological seasonality.

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          iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers)

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Oikos
                Oikos
                Wiley
                0030-1299
                1600-0706
                November 2023
                July 25 2023
                November 2023
                : 2023
                : 11
                Affiliations
                [1 ] Department of Biology, University of Central Florida Orlando FL USA
                [2 ] Aquatic Ecosystems Group, SINCHI Amazonian Scientific Research Institute Leticia Amazonas Colombia
                [3 ] Museu de Zoologia da Universidade Estadual de Campinas, Cidade Universitária Campinas SP Brazil
                [4 ] School of Biology, University of St Andrews St Andrews Fife UK
                Article
                10.1111/oik.09967
                9616156b-54cf-4dfc-aaaa-0e0a918804c1
                © 2023

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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