Effects of mesohabitat, grazing and substratum roughness on locally common and rare diatom species

Author:

Junqueira Maria Gabriela12ORCID,Melo Adriano Sanches2ORCID,Schneck Fabiana1ORCID

Affiliation:

1. Programa de Pós‐Graduação em Biologia de Ambientes Aquáticos Continentais Instituto de Ciências Biológicas, Universidade Federal do Rio Grande – FURG Rio Grande Rio Grande do Sul Brazil

2. Departamento de Ecologia Instituto de Biociências, Universidade Federal do Rio Grande do Sul Porto Alegre Rio Grande do Sul Brazil

Abstract

Abstract Habitat type and grazing are key factors controlling benthic diatom communities. Nonetheless, the strength of grazing may depend on the habitat complexity at fine (substratum roughness) and meso scales (mesohabitat type). The interaction between grazers and physical conditions may thus be an important factor shaping benthic diatom communities. Several investigations have evaluated how habitat type, grazing and substratum roughness separately affect the biomass, species richness and community structure of algal communities. However, how these factors act together remains poorly understood, particularly for sets of common and rare species. The latter is important for understanding whether common and rare species are affected differently by environmental filters at the local scale. We investigated the effects of mesohabitat type, grazer occurrence and substratum roughness as well as their interactions on benthic diatom communities in a split‐split‐plot field experiment consisting of hierarchical treatments: (i) mesohabitat (pools and riffles); (ii) grazer occurrence (presence or absence of grazers >1 cm in size); and (iii) substratum roughness (smooth and rough substrata). We analysed the entire community and also datasets of common and rare species. Here, we define common and rare species based on their abundance–occupancy relationships, with rare species presenting low mean abundance per experimental unit (between 0.025 and 8.2) and low occupancy (between 2.5% and 25%). Substratum roughness was the main factor explaining differences in species richness, with higher species richness found on rough than on smooth substrata for both the complete dataset and for common and rare species. There was evidence that the interactions between mesohabitat and grazer occurrence and between mesohabitat and substratum roughness affected community structure (relative abundances) for the complete dataset and for common species, whereas the three‐way interaction between mesohabitat, grazer and substratum roughness affected community structure of rare species. Our findings emphasise that crevices are important microhabitats that allow the establishment of both common and rare species. Furthermore, our results suggest that physical differences between mesohabitats influenced the effect of grazers on the community structure of common and rare species. For common species, the effects of this interaction were difficult to depict, but we found a change in the second‐most‐common species between mesohabitats and depending on the occurrence of grazers. For rare species, grazers more clearly affected community structure on smooth substrata in riffles than in pools. Our results demonstrate that local patterns of common and rare diatom species resulted from distinct combinations of the evaluated environmental filters. Together, our results highlight how multifactorial field experiments are key to understanding the main environmental filters driving the species richness and community structure of benthic diatom communities.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Aquatic Science

Reference85 articles.

1. Species sorting determines variation in the community composition of common and rare macrophytes at various spatial extents

2. Balbuena J. A. Monlleó‐Borrull C. Llopis‐Belenguer C. Blasco‐Costa I. Saraveeb V. &Morand S.(2021a).FuzzyQ: Fuzzy quantification of common and rare species. R package version 0.1.0.https://CRAN.R‐project.org/package=FuzzyQ

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