Abstract
Environmental characteristics, spatial structures, and landscape features are ecological factors that drive beta diversity in stream communities, but the effects of these factors, considering multiple spatial scales on beta diversity in aquatic communities, still remain a goal of community ecology. Using the distance-based redundancy analysis (db-RDA) and variance partitioning, we evaluated the contribution of the local environment, regional, and spatial variables to total beta diversity and its components (i.e., species replacement and richness difference) for fish communities in 59 streams from the Brazilian Cerrado. The influence of local environmental, regional, and spatial variables on beta diversity was distinct along different spatial scales. Specifically, local environmental variables were the main drivers of dissimilarity between streams. We suggest that the environmental filter is the primary structuring mechanism of local communities in stream fishes in the Cerrado, regardless of the spatial scale. Together, spatial and regional variables may be considered complementary mechanisms to explain the variation in the beta diversity pattern. Thus, based on high beta diversity values and the number of unique species, our findings suggest that the preservation of stream structural features is necessary to maintain regional diversity.
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Acknowledgements
The Fundação de Amparo à Pesquisa do Estado de Mato Grosso (FAPEMAT) for granting the PhD Scholarship to the first author (FAPEMAT Notice 002/2015, Process 155509/2015). We are grateful to the UNEMAT Graduate Program in Ecology and Conservation (UNEMAT/PPGEC) and FAPEMAT (“Projeto Veredas” 227925/2015) for partial financial support. We thank Eddie Lenza, Edson Fontes, Jean Ortega, Fabiano Corrêa, and Renato Dala-Corte for their valuable suggestions that contributed to the improvement of the manuscript. We are also grateful to colleagues at the Laboratório de Ecologia e Conservação de Ecossistemas Aquáticos (LECEA/UFMT) for help in field collection. We would like to thank all the landowners for their permission to collect samples from their properties. L. B. Lima and F. J. M. Oliveira were partially financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) Finance Code 001; L. B. Lima was supported by Fundação de Amparo à Pesquisa do Estado de Mato Grosso (FAPEMAT/CNPq Notice 001/2022, Process FAPEMAT-PRO.000073/2023); P. De Marco-Junior and D. P. Lima-Junior are supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico–CNPq (308694/2015-5 and 305923/2020-0 grants, respectively).
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This research was funded by Fundação de Amparo à Pesquisa do Estado de Mato Grosso (FAPEMAT Notice 002/2015, Process155509/2015), the Fundação de Amparo à Pesquisa do Estado de Mato Grosso (FAPEMAT/CNPq Notice 001/2022, Process FAPEMAT-PRO.000073/2023), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Finance Code 001), and the Conselho Nacional de Desenvolvimento Científico e Tecnológico–CNPq (308694/2015–5 and 305923/2020–0 grants, respectively).
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LBL, DPLJ, and PDJ contributed to the conception and design of the study. LBL, FJMO, and DPLJ conducted fieldwork and material preparation. LBL performed the statistical analyses. LBL wrote the first draft of the manuscript. All authors contributed to the previous manuscript versions' writing, review, and ideas. All authors read and approved the final manuscript.
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Lima, L.B., Oliveira, F.J.M., De Marco Júnior, P. et al. Local environmental variables are the best beta diversity predictors for fish communities from the Brazilian Cerrado streams. Aquat Sci 86, 19 (2024). https://doi.org/10.1007/s00027-023-01032-z
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DOI: https://doi.org/10.1007/s00027-023-01032-z