University of Oulu

Perez Rocha, M., Bini, L.M., Grönroos, M. et al. Correlates of different facets and components of beta diversity in stream organisms. Oecologia 191, 919–929 (2019). https://doi.org/10.1007/s00442-019-04535-5

Correlates of different facets and components of beta diversity in stream organisms

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Author: Perez Rocha, Mariana1,2,3; Bini, Luis M.4; Grönroos, Mira5;
Organizations: 1Geography Research Unit, University of Oulu, PO Box 3000, 90014 Oulu, Finland
2Freshwater Centre, Finnish Environment Institute, PO Box 413, 90014 Oulu, Finland
3CAPES Foundation, Ministry of Education of Brazil, Brasília 70040‑020, DF, Brazil
4Department of Ecology (ICB), Universidade Federal de Goiás, Goiânia, GO 74690‑900, Brazil
5Faculty of Biological and Environmental Sciences Ecosystems and Environment Research, Niemenkatu 73, 15140 Lahti, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202002246358
Language: English
Published: Springer Nature, 2019
Publish Date: 2020-02-24
Description:

Abstract

Recently, community ecology has emphasized the multi-facetted aspects of biological diversity by linking species traits and the environment. Here, we explored environmental correlates of taxonomically-based and traits-based compositional distances using a comprehensive data set of diatom and macroinvertebrate communities. We also explored the responses of different beta diversity components (i.e., overall beta diversity, turnover, and nestedness) of beta diversity facets (i.e., taxonomically and traits-based beta diversity) to environmental distances. Partial Mantel tests were used to test the relationships between beta diversity and environmental distance (while controlling for spatial distances). Taxonomically-based beta diversity varied much more than traits-based beta diversity, indicating strong functional convergence. We found that taxonomically-based beta diversity was largely driven by the turnover component. However, the nestedness component contributed more to overall traits-based beta diversity than the turnover component. Taxonomically-based beta diversity was significantly correlated with environmental distances for both diatoms and macroinvertebrates. Thus, we found support for the role of environmental filtering as a driver of community dissimilarities of rather different biological groups. However, the strength of these relationships between beta diversity and environmental distances varied depending on the biological group, facet, component, and the way which the environmental variables were selected to calculate the explanatory (distance) matrix. Our results indicated that both taxonomically and traits-based approaches are still needed to better understand patterns and mechanisms affecting the organization of biological communities in streams. This is because different facets of biological communities may be driven by different mechanisms.

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Series: Oecologia
ISSN: 0029-8549
ISSN-E: 1432-1939
ISSN-L: 0029-8549
Volume: 191
Pages: 919 - 929
DOI: 10.1007/s00442-019-04535-5
OADOI: https://oadoi.org/10.1007/s00442-019-04535-5
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
1181 Ecology, evolutionary biology
Subjects:
Funding: Open access funding provided by University of Oulu. MPR would like to thank CAPES Foundation—Brazil and ‘Science Without Borders’ for their support through the provision of a full PhD grant. Also, MPR would like to thank Finnish Environment Institute and Geography Research Unit (University of Oulu) for receiving her as a visiting researcher. JHeino thanks the Academy of Finland and Emil Aaltonen Foundation for support to stream biodiversity studies at high latitudes. Work by LMB has been continuously supported by CNPq grants (304314/2014-5) and the Institute for Science and Technology (INCT) in Ecology, Evolution and Biodiversity Conservation (MCTIC/CNPq proc. 465610/2014-5 and FAPEG). MPR was funded by CAPES Foundation (Grant number 11877-13-8).
Copyright information: © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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