Causes and effects of sampling bias on marine Western Atlantic biodiversity knowledge-Reference-Cited by-同舟云学术

Causes and effects of sampling bias on marine Western Atlantic biodiversity knowledge

Published:2024-04 Issue:6 Volume:30 Page:
ISSN:1366-9516
Container-title:Diversity and Distributions
language:en
Short-container-title:Diversity and Distributions

Author:

Cardoso Micaele Niobe Martins¹^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,Santos Luciano N.⁸^ORCID,Miranda Lucília Souza¹⁴,Lorini Maria Lucia⁸,Klautau Michelle¹⁵,Pagliosa Paulo Roberto¹⁰,Clerier Pedro Henrique Braga⁷,de Moura Rafael B.¹⁶,da Rocha Fortes Rafael⁸,Neves Raquel A. F.⁸,da Rocha Rosana Moreira¹⁷,Stampar Sérgio N.²,Salani Sula¹⁸,Miranda Thaís Pires¹⁹,Pinheiro Ulisses³,Venekey Virág²⁰,Oliveira Ubirajara²¹^ORCID

Affiliation:

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

2. LEDALab, Departamento de Ciências Biológicas 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 Brazil

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

9. Laboratório de Ecologia e Sistemática de Cirripedia, 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 Maceió Brazil

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

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

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

17. Laboratório de Sistemática e Ecologia de Invertebrados Marinhos, Departamento de Zoologia Universidade Federal Do Paraná Curitiba Brazil

18. Laboratório de Bentos, Departamento de Zoologia Universidade de Brasília Brasília Brazil

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

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

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

Abstract

AbstractAimKnowledge gaps and sampling bias can lead to underestimations of species richness and distortions in the known distribution of species. The goal of this study is to identify potential gaps and biases in marine organisms sampling at the Western Atlantic Ocean, determine their causes and assess its effect on biodiversity metrics. We tested the potential interference of this bias with the representation of environmental conditions, potentially affecting biodiversity model predictions.LocationWestern Atlantic Ocean.MethodsThis study compiled data of marine species in online and institutional databases. The analysis of sampling effort and bias was conducted by mapping the density of records. A spatial autoregressive model (SAR) was employed to investigate the influence of accessibility as a determinant factor of the sampling bias. We tested whether the effect of the sampling bias could result from environmental bias in the samples, contrasting the environmental variables of the study area with those present in the biodiversity records. We examined the correlation between sampling effort in species richness and endemism.ResultsThe USA has the highest number of records and density of records. There was a low correlation between the vertebrates, invertebrates and algae sample density patterns. Accessibility was identified as one of the main causes of sampling bias. The analysis of environmental bias indicated that the records do not represent all conditions present in the environment. Sampling density showed a strong relationship with endemism and a weaker relationship with species richness.Main ConclusionsWe have identified a strong sampling bias related to ease of access that equally affects vertebrates, invertebrates and algae, resulting in a skewed sampling of the environmental conditions where species occur. Sampling patterns differ among the groups. The intensity of sampling effort significantly impacts measures of richness and endemism, potentially undermining the accurate recognition of real biological diversity patterns.

Funder

Fundação Grupo Boticário de Proteção à Natureza

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13839

Reference41 articles.

1. The Magnitude of Global Marine Species Diversity

2. Improper environmental sampling design bias assessments of coastal contamination

3. Assessing the Significance of the Correlation between Two Spatial Processes

4. Is geographic sampling bias representative of environmental space?

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