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dc.contributor.author
Nori, Javier
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Prieto Torres, David Alexander
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Villalobos Camacho, Crisoforo Fabricio
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Loyola, Rafael
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Rojas Soto, Octavio
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Parra, Juan L.
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Lira-Noriega, Andrés
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Ortega-Andrade, H. Mauricio
dc.contributor.author
Monjeau, Jorge Adrian
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Hernández de La Fuente, Sebastián
dc.contributor.author
Martínez Meyer, Enrique
dc.contributor.author
Osorio Olvera, Luis Alfredo
dc.date.available
2023-07-13T13:00:11Z
dc.date.issued
2022-12-05
dc.identifier.citation
Nori, Javier; Prieto Torres, David Alexander; Villalobos Camacho, Crisoforo Fabricio; Loyola, Rafael; Rojas Soto, Octavio; et al.; Contrasting biogeographical patterns of threatened vertebrates on islands emerge from disparities between expert-derived maps and Global Biodiversity Information Facility data; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 50; 2; 5-12-2022; 418-427
dc.identifier.issn
0305-0270
dc.identifier.uri
http://hdl.handle.net/11336/203674
dc.description.abstract
Aim: The most popular sources of information on species distributions are the expert-derived maps and georeferenced occurrences, mainly those compiled by the Global Biodiversity Information Facility (GBIF). These sources have been constantly used with biogeographical and conservation goals. However, their degree of accuracy in representing geographical biodiversity patterns remains poorly understood. Here, we compared both sources of information on species distributions to estimate global patterns of richness and species composition of threatened vertebrates on marine islands. Location: Global. Taxon: Terrestrial vertebrates. Methods: We gathered distributional data of all threatened terrestrial vertebrate species inhabiting 22,471 marine islands worldwide from GBIF and expert derived maps. Then, to assess strengths and biases from each source, using geographical information systems, we calculated and compared: (a) species richness per island, (b) general patterns of richness and (c) the number of shared species from both sources per island. Results: There were dramatic differences between the information derived from both data sources. The species richness estimated with expert-derived maps resulted in 10 more species per island, on average, than the estimations obtained from GBIF data. The mean proportion of shared species per island (between both data sources) was very low (3.1% of the species), and the general patterns of richness were markedly different. The most significant differences occurred in tropical areas and Europe. Conclusion: Differences between the two sources emerged from intrinsic biases: expert-derived maps tend to overestimate species' counts, whereas GBIF occurrences tend to do the opposite, except for some well-sampled regions where both data types converge. Our findings suggest that previous global assessments performed with these information sources on species distributions, especially those focusing on protected areas, should be carefully considered.
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
BIG DATA
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GEOGRAPHICAL BIAS
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GLOBAL BIODIVERSITY PATTERNS
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INACCURACY
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THREATENED SPECIES
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UNCERTAINTY
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Conservación de la Biodiversidad
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Contrasting biogeographical patterns of threatened vertebrates on islands emerge from disparities between expert-derived maps and Global Biodiversity Information Facility data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-07T19:03:31Z
dc.journal.volume
50
dc.journal.number
2
dc.journal.pagination
418-427
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Nori, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
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Fil: Prieto Torres, David Alexander. Red de Biogeografía Neotropical; México. Universidad Nacional Autonoma de Mexico. Facultad de Estudios Superiores de Iztacala; México
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Fil: Villalobos Camacho, Crisoforo Fabricio. Universidad Nacional Autónoma de México. Instituto de Ecología; México. Red de Biogeografía Neotropical; México
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Fil: Loyola, Rafael. Red de Biogeografía Neotropical; México. Universidade Federal de Goiás; Brasil
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Fil: Rojas Soto, Octavio. Red de Biogeografía Neotropical; México. Universidad Nacional Autónoma de México. Instituto de Ecología; México
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Fil: Parra, Juan L.. Universidad de Antioquia; Colombia. Red de Biogeografía Neotropical; México
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Fil: Lira-Noriega, Andrés. Red de Biogeografía Neotropical; México. Universidad Nacional Autónoma de México. Instituto de Ecología; México
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Fil: Ortega-Andrade, H. Mauricio. Red de Biogeografía Neotropical; México. Universidad Regional Amazónica Ikiam; Ecuador
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Fil: Monjeau, Jorge Adrian. Fundación Bariloche; Argentina. Red de Biogeografía Neotropical; México. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Hernández de La Fuente, Sebastián. Universidad Nacional Autonoma de Mexico. Facultad de Estudios Superiores de Iztacala; México
dc.description.fil
Fil: Martínez Meyer, Enrique. Red de Biogeografía Neotropical; México. Universidad Nacional Autónoma de México; México
dc.description.fil
Fil: Osorio Olvera, Luis Alfredo. Red de Biogeografía Neotropical; México. Universidad Nacional Autónoma de México. Instituto de Ecología; México
dc.journal.title
Journal of Biogeography
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/jbi.14545
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/jbi.14545
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