Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do

Aim. The interplay between distribution ranges, species traits and sampling and taxonomic biases remains elusive amongst microscopic animals. This ignorance obscures our understanding of the diversity patterns of a major component of biodiversity. Here, we used marine Halacaridae to explore whether...

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Authors: Rubio López, Iñigo, Pardos Martínez, Fernando, Fontaneto, Diego, Martínez, Alejandro, García Gómez, Guillermo
Format: article
Publication Date:2023
Country:España
Institution:Universidad Complutense de Madrid (UCM)
Repository:Docta Complutense
Language:English
OAI Identifier:oai:docta.ucm.es:20.500.14352/121633
Online Access:https://hdl.handle.net/20.500.14352/121633
Access Level:Open access
Keyword:595.42(4)
591.5
591.9(26)
574.5
Biogeography
Diversity
Macroecology
Marine meiofauna
Meiobenthos
Mites
Sampling bias
Spatial scales
Species richness
Zoología
Biología marina
Invertebrados
Ecología (Biología)
2401 Biología Animal (Zoología)
2401.19 Zoología Marina
2401.91 Invertebrados no Insectos
2401.06 Ecología Animal
2505.01 Biogeografía
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oai_identifier_str oai:docta.ucm.es:20.500.14352/121633
network_acronym_str ES
network_name_str España
repository_id_str
spelling Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort doRubio López, IñigoPardos Martínez, FernandoFontaneto, DiegoMartínez, AlejandroGarcía Gómez, Guillermo595.42(4)591.5591.9(26)574.5BiogeographyDiversityMacroecologyMarine meiofaunaMeiobenthosMitesSampling biasSpatial scalesSpecies richnessZoologíaBiología marinaInvertebradosEcología (Biología)2401 Biología Animal (Zoología)2401.19 Zoología Marina2401.91 Invertebrados no Insectos2401.06 Ecología Animal2505.01 BiogeografíaAim. The interplay between distribution ranges, species traits and sampling and taxonomic biases remains elusive amongst microscopic animals. This ignorance obscures our understanding of the diversity patterns of a major component of biodiversity. Here, we used marine Halacaridae to explore whether differences between marine provinces can explain their distribution patterns or if differential sampling efforts across regions prevent any macroecological inference. Furthermore, we test if certain functional traits influence their distribution patterns. Location. Europe. Results. Whereas geographical variables provided a better explanation for differences in species composition, sampling effort and distance from marine biological stations accounted for the majority of differences in European Halacaridae richness. Species occurring in more habitats showed broader geographical ranges and accumulated more records. Species traits like generalism affected the distribution of halacarid species. Main Conclusions. We propose that the sampling effort of halacarid mites in Europe might be explained by two different cognitive biases: the convenience of selecting certain sampling localities compared to others and the tendency of zoologists to scrutinise habitats where their target organisms are more common.John & Wiley SonsUniversidad Complutense de Madrid20232023-05-0420232023-05-04journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/121633reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1216332026-06-02T12:44:21Z
dc.title.none.fl_str_mv Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
title Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
spellingShingle Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
Rubio López, Iñigo
595.42(4)
591.5
591.9(26)
574.5
Biogeography
Diversity
Macroecology
Marine meiofauna
Meiobenthos
Mites
Sampling bias
Spatial scales
Species richness
Zoología
Biología marina
Invertebrados
Ecología (Biología)
2401 Biología Animal (Zoología)
2401.19 Zoología Marina
2401.91 Invertebrados no Insectos
2401.06 Ecología Animal
2505.01 Biogeografía
title_short Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
title_full Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
title_fullStr Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
title_full_unstemmed Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
title_sort Biases and distribution patterns in hard‐bodied microscopic animals (Acari: Halacaridae): Size does not matter, but generalism and sampling effort do
dc.creator.none.fl_str_mv Rubio López, Iñigo
Pardos Martínez, Fernando
Fontaneto, Diego
Martínez, Alejandro
García Gómez, Guillermo
author Rubio López, Iñigo
author_facet Rubio López, Iñigo
Pardos Martínez, Fernando
Fontaneto, Diego
Martínez, Alejandro
García Gómez, Guillermo
author_role author
author2 Pardos Martínez, Fernando
Fontaneto, Diego
Martínez, Alejandro
García Gómez, Guillermo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 595.42(4)
591.5
591.9(26)
574.5
Biogeography
Diversity
Macroecology
Marine meiofauna
Meiobenthos
Mites
Sampling bias
Spatial scales
Species richness
Zoología
Biología marina
Invertebrados
Ecología (Biología)
2401 Biología Animal (Zoología)
2401.19 Zoología Marina
2401.91 Invertebrados no Insectos
2401.06 Ecología Animal
2505.01 Biogeografía
topic 595.42(4)
591.5
591.9(26)
574.5
Biogeography
Diversity
Macroecology
Marine meiofauna
Meiobenthos
Mites
Sampling bias
Spatial scales
Species richness
Zoología
Biología marina
Invertebrados
Ecología (Biología)
2401 Biología Animal (Zoología)
2401.19 Zoología Marina
2401.91 Invertebrados no Insectos
2401.06 Ecología Animal
2505.01 Biogeografía
description Aim. The interplay between distribution ranges, species traits and sampling and taxonomic biases remains elusive amongst microscopic animals. This ignorance obscures our understanding of the diversity patterns of a major component of biodiversity. Here, we used marine Halacaridae to explore whether differences between marine provinces can explain their distribution patterns or if differential sampling efforts across regions prevent any macroecological inference. Furthermore, we test if certain functional traits influence their distribution patterns. Location. Europe. Results. Whereas geographical variables provided a better explanation for differences in species composition, sampling effort and distance from marine biological stations accounted for the majority of differences in European Halacaridae richness. Species occurring in more habitats showed broader geographical ranges and accumulated more records. Species traits like generalism affected the distribution of halacarid species. Main Conclusions. We propose that the sampling effort of halacarid mites in Europe might be explained by two different cognitive biases: the convenience of selecting certain sampling localities compared to others and the tendency of zoologists to scrutinise habitats where their target organisms are more common.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-05-04
2023
2023-05-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/121633
url https://hdl.handle.net/20.500.14352/121633
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv John & Wiley Sons
publisher.none.fl_str_mv John & Wiley Sons
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869403213871972352
score 15,811543

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