Beta diversity and regionalization of the western Atlantic marine biota-Reference-Cited by-同舟云学术

Beta diversity and regionalization of the western Atlantic marine biota

Published:2024-04-04 Issue:8 Volume:51 Page:1469-1480
ISSN:0305-0270
Container-title:Journal of Biogeography
language:en
Short-container-title:Journal of Biogeography

Author:

Oliveira Ubirajara¹^ORCID,Azevedo Fernanda²,Dias Alan³,de Almeida Ana Carolina Sousa⁴,Senna André R.⁵,Marques Antonio C.⁶,Rezende Dafinny⁷,Hajdu Eduardo⁷,Lopes‐Filho Erick Alves Pereira⁷⁸,Pitombo Fábio Bettini⁹,de Oliveira Gabriela Moura³,Doria João Gabriel¹⁰,Carraro João Luís⁸,De‐Paula Joel Campos⁸,Bahia Juliana¹¹,de Araujo Juliana Magalhães¹²,Paresque Karla¹³,Vieira Leandro Manzoni³,Fernandes Luanny Martins⁸,Cardoso Micaele Niobe Martins¹⁴,Santos Luciano N.⁸,Miranda Lucília Souza¹⁵,Klautau Michelle¹⁶,Pagliosa Paulo Roberto¹⁰,Clerier Pedro Henrique Braga⁷,de Moura Rafael B.¹⁷,da Rocha Fortes Rafael⁸,Neves Raquel A. F.⁸,da Rocha Rosana Moreira¹⁸,Stampar Sérgio N.²,Salani Sula¹⁹,Miranda Thaís Pires²⁰^ORCID,Pinheiro Ulisses³,Venekey Virág²¹

Affiliation:

1. Centro de Sensoriamento Remoto Universidade Federal de Minas Gerais Belo Horizonte Brazil

2. LEDALab, Departamento de Ciências Biológicas, Faculdade de Ciências Universidade Estadual Paulista Bauru Brazil

3. Departamento de Zoologia Universidade Federal de Pernambuco Recife Brazil

4. Museu de História Natural da Bahia Universidade Federal da Bahia Salvador Brazil

5. Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil

6. Departamento de Zoologia Universidade de São Paulo São Paulo Brazil

7. Laboratório de Taxonomia de Poríferos, Departamento de Invertebrados, Museu Nacional Universidade Federal do Rio de Janeiro Rio de Janeiro RJ Brazil

8. Instituto de Biociências Universidade Federal do Estado do Rio de Janeiro Rio de Janeiro Brazil

9. Departamento de Biologia Marinha Universidade Federal Fluminense Rio de Janeiro Brazil

10. Laboratório de Biodiversidade Costeira Universidade Federal de Santa Catarina Florianópolis Brazil

11. Zoologische Staatsammlung München Staatliche Naturwissenschaftliche Sammlungen Bayerns München Germany

12. Instituto Nacional de Divulgação Pública de Ciência e Tecnologia (INCT‐CPCT) Rio de Janeiro Brazil

13. Universidade Federal de Alagoas Alagoas Brazil

14. Instituto de Ciências do Mar (Labomar) Universidade Federal do Ceará Fortaleza Ceará Brazil

15. Departamento de Zoologia Universidade Federal de Minas Gerais Belo Horizonte Brazil

16. Laboratório TaxoN, Departamento de Zoologia Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

17. Laboratório de Benthos, Departamento de Biologia Marinha Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

18. Laboratório de Sistemática e Ecologia de Invertebrados Marinhos, Departamento de Zoologia Universidade Federal do Paraná Curiitba Brazil

19. Laboratório de Bentos, Departamento de Zoologia Instituto de Biologia, Univetsidade de Brasilia

20. Departamento de Biologia Animal e Vegetal, Centro de Ciências Biológicas Universidade Estadual de Londrina Londrina Brazil

21. Laboratório de Pesquisa em Monitoramento Ambiental Marinho (LAPMAR) Universidade Federal do Pará Belém Brazil

Abstract

AbstractAimUnderstanding the factors determining marine community variations is important for biogeography and conservation. Beta diversity is a metric for mapping species composition variations between communities and regionalizing biota. Ecoregions are commonly used for regionalization, but their empirical testing has been limited. Our aim is to map marine species composition variations in the Western Atlantic, identify variables related to these variations, and regionalize areas based on community distribution. Additionally, we test whether currently proposed ecoregions represent unique biota units and specific environmental conditions.LocationWestern Atlantic Ocean.TaxonVertebrates, invertebrates and algae.MethodsWe constructed a large marine biodiversity database, including vertebrates, invertebrates, and algae, totalling over 4 million records. We used the generalized dissimilarity model (GDM) to identify variables most related to species composition variations and map beta‐diversity variations. We employed an unsupervised classifier for community regionalization. To test if the ecoregion regionalization boundaries are corroborated by species distribution data, we used the Sørensen index. To assess if ecoregions correspond to environmental units, we checked if areas had distinct environmental conditions using a PCA of 134 marine environmental variables.ResultsThe GDM explained a high variation in species composition, 61% in the complete database. Analysing vertebrates, invertebrates and algae separately also yielded relatively high results: 46%, 54%, and 33%, respectively. Coastal areas differed from open sea areas in composition. Environmental variables combined better explained beta diversity than isolated variables. The regionalization based on GDM was not congruent with ecoregion boundaries. Moreover, ecoregions showed no distinction in species composition or environmental conditions.Main ConclusionsThis study's regionalization is crucial for marine biodiversity conservation, focusing on understanding species composition patterns between coastal and open sea areas to develop tailored conservation strategies. Despite sampling limitations, the study advances marine biogeography knowledge by analysing over 4 million species records and 134 environmental variables. This comprehensive approach enhances understanding marine species distribution and diversity and aiding the development of effective conservation measures.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14837

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