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dc.contributor.author
Costa, Fernanda Vieira da  
dc.contributor.author
Barbosa Viana Júnior, Arleu  
dc.contributor.author
Aguilar, Ramiro  
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Silveira, Fernando A. O.  
dc.contributor.author
Cornelissen, Tatiana G.  
dc.date.available
2023-12-19T12:12:06Z  
dc.date.issued
2023-07-27  
dc.identifier.citation
Costa, Fernanda Vieira da; Barbosa Viana Júnior, Arleu; Aguilar, Ramiro; Silveira, Fernando A. O.; Cornelissen, Tatiana G.; Biodiversity and elevation gradients: Insights on sampling biases across worldwide mountains; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 50; 11; 27-7-2023; 1879-1889  
dc.identifier.issn
0305-0270  
dc.identifier.uri
http://hdl.handle.net/11336/220742  
dc.description.abstract
Identifying macroecological patterns and biases in species distribution is a challenging but essential task in biodiversity-oriented studies. Despite extensive attempts to find consistent species richness elevation (SRE) patterns, the topic remains controversial owing to widespread conflicting, idiosyncratic and non-generalizable underlying mechanisms. We used a meta-analytical review to answer why patterns of species-richness in elevation gradients remain elusive, a long-standing, central but contentious macroecological and biogeographical question. Location: Global elevation gradients. Taxon: Major terrestrial taxa (invertebrates, vertebrates and plants). Methods: We tested the effect of elevation on species richness using multilevel mixed-effects meta-analytical models. Data from 127 studies spawning almost one century of research were integrated to test the effect of elevation across distinct (1) SRE models, (2) quality of primary data (e.g. mountain sampling coverage), (3) biogeographic realms, (4) studied taxa and (5) organism mobility. Results: The linear negative pattern showed the strongest model fit followed by the hump-shaped and the linear positive models. Studies with higher sampling sizes showed a consistent decrease in the strength of SRE patterns. Further, the larger the mountain coverage and sampled range, the stronger the detection of some SRE patterns. Overall, the elevational effect on species richness was consistent across biogeographical realms, taxonomic groups and organism mobility. Main Conclusions: This study indicates a bias in the detection of SRE patterns, driven mostly by mountain comprehensiveness, namely the number of sampling units, sampled range and mountain sampling coverage. These results call attention to the evidence that undersampled elevation gradients may bias our understanding on the complex relationships between elevation and biodiversity, thus impairing a broad understanding on the ecology, evolution, biogeography and conservation of mountain biota.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ALTITUDE  
dc.subject
BIODIVERSITY KNOWLEDGE SHORTFALLS  
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DATA QUALITY  
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MACROECOLOGY  
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META-ANALYSIS  
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SPECIES RICHNESS  
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SYSTEMATIC REVIEW  
dc.subject.classification
Ecología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Biodiversity and elevation gradients: Insights on sampling biases across worldwide mountains  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-12-13T11:22:12Z  
dc.identifier.eissn
1365-2699  
dc.journal.volume
50  
dc.journal.number
11  
dc.journal.pagination
1879-1889  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Costa, Fernanda Vieira da. Universidade Federal de Minas Gerais; Brasil  
dc.description.fil
Fil: Barbosa Viana Júnior, Arleu. Universidade Estadual da Paraiba; Brasil  
dc.description.fil
Fil: Aguilar, Ramiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Universidad Nacional Autónoma de México; México  
dc.description.fil
Fil: Silveira, Fernando A. O.. Universidade Federal de Minas Gerais; Brasil  
dc.description.fil
Fil: Cornelissen, Tatiana G.. Universidade Federal de Minas Gerais; Brasil  
dc.journal.title
Journal of Biogeography  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/jbi.14696  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/jbi.14696