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The importance of including spatial autocorrelation when modelling species richness in Archipelagos: A Bayesian approach

2023-02Journal article Open access
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dc.contributor.authorBarros, Diogo Duarte
dc.contributor.authorMathias, Maria da Luz
dc.contributor.authorBorges, Paulo A. V.
dc.contributor.authorBorda-de-Água, Luís
dc.date.accessioned2024-02-29T13:58:53Z
dc.date.available2024-02-29T13:58:53Z
dc.date.issued2023-02
dc.description.abstractOne of the aims of island biogeography theory is to explain the number of species in an archipelago. Traditionally, the variables used to explain the species richness on an island are its area and distance to the mainland. However, increasing evidence suggests that accounting for other variables is essential for better estimates. In particular, the distance between islands should play a role in determining species richness. This work uses a Bayesian framework using Gaussian processes to assess whether distance to neighbouring islands (spatial autocorrelation) can better explain arthropod species richness patterns in the Azores Archipelago and in the Canary Islands. This method is flexible and allows the inclusion of other variables, such as maximum altitude above sea level (elevation). The results show that accounting for spatial autocorrelation provides the best results for both archipelagos, but overall, spatial autocorrelation seems to be more important in the Canary archipelago. Similarly, elevation plays a more important role in determining species richness in the Canary Islands. We recommend that spatial autocorrelation should always be considered when modelling an archipelago’s species richness.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBarros, D.D.; Mathias, M.d.L.; Borges, P.A.V.; Borda-de-Água, L. The Importance of Including Spatial Autocorrelation When Modelling Species Richness in Archipelagos: A Bayesian Approach. Diversity 2023, 15, 127.pt_PT
dc.identifier.doi10.3390/d15020127pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/30247
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationL57/2016/CP1440/CT0022.P.A.V.B.pt_PT
dc.relationBiotechnology Centre of Azores
dc.relationBiotechnology Centre of Azores
dc.relationCentre for Environmental and Marine Studies
dc.relationCentre for Environmental and Marine Studies
dc.relationCentre for Environmental and Marine Studies
dc.relation.publisherversionhttps://www.mdpi.com/journal/diversitypt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAzorespt_PT
dc.subjectbiodiversitypt_PT
dc.subjectbiogeographypt_PT
dc.subjectCanary Islandspt_PT
dc.subjectelevationpt_PT
dc.subjectGaussian processpt_PT
dc.subjectisland species–area relationshippt_PT
dc.subjectspatial autocorrelationpt_PT
dc.titleThe importance of including spatial autocorrelation when modelling species richness in Archipelagos: A Bayesian approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleBiotechnology Centre of Azores
oaire.awardTitleBiotechnology Centre of Azores
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50017%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50017%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0094%2F2020/PT
oaire.citation.issue2pt_PT
oaire.citation.startPageArticle number 482pt_PT
oaire.citation.titleDiversitypt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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