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Use of cover data to model species abundance distributions through continuous probability functions

2025-04-02Artigo de investigação Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências Biológicas
datacite.subject.sdg15:Proteger a Vida Terrestre
dc.contributor.authorMoradi, Halime
dc.contributor.authorPrado, Paulo
dc.contributor.authorOldeland, Jens
dc.contributor.authorBorges, P.A.V.
dc.contributor.authorFattorini, Simone
dc.date.accessioned2026-01-27T14:39:33Z
dc.date.available2026-01-27T14:39:33Z
dc.date.issued2025-04-02
dc.description.abstractABSTRACT: Species abundance distribution (SAD) models describe the abundances of the species within ecological communities. SAD modelling has been developed using frequency distributions that require the use of count data (number of individuals). However, many organisms, such as most plants, cannot be counted. Instead, abundance is estimated using cover values. We show here how SAD approaches conceived for modelling frequency distributions based on counts can be modified to deal with continuous distributions and provide an application using relative plant cover as a continuous measure of abundance. We applied several SAD models using continuous probability functions to investigate how plant SADs changed along a wide (2,500 m) elevational gradient in the Alborz Mountains (Iran). We found that most communities were adequately fitted by the Weibull distribution, whose parameters changed along the gradient in response to the interplay between biotic and environmental filtering processes. The use of continuous probability functions in SAD modelling should be encouraged in research dealing with plant communities and other organisms for which counting individuals is theoretically or practically impossible.eng
dc.identifier.citationMoradi, H., Prado, P. I., Oldeland, J., Borges, P. A. V., & Fattorini, S. (2025). Use of cover data to model species abundance distributions through continuous probability functions. Scientific Reports, 15, 11361. https://doi.org/10.1038/s41598-025-94587-w
dc.identifier.doi10.1038/s41598-025-94587-w
dc.identifier.eissn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.3/8832
dc.language.isoeng
dc.peerreviewedyes
dc.publisherNature Portfolio
dc.relationAlexander von Humboldt Foundation (AvH) - Bolsa para HM - Humboldt-ID number 1222705
dc.relationFundação para a Ciência e a Tecnologia (FCT) - Thematic Line 1 – integrated ecological assessment of environmental change on biodiversity - FCT-UIDB/00329/2020-2024, DOI 10.54499/UIDB/00329/2020
dc.relationUniversity of L’Aquila, Department of Life, Health and Environmental Sciences - FFO 2023 – “Struttura di comunità in ecosistemi di sky island: pattern e processi”
dc.relationUniversität Hamburg - Open Access Publication Fund
dc.relationProjekt DEAL - Open Access funding enabled and organized
dc.relation.hasversionhttps://www.nature.com/articles/s41598-025-94587-w
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAlborz mountains
dc.subjectCommunity ecology
dc.subjectContinuous distributions
dc.subjectElevational gradient
dc.subjectPlant species abundance distributions
dc.subjectWeibull model
dc.titleUse of cover data to model species abundance distributions through continuous probability functionseng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.endPage11
oaire.citation.issue11361
oaire.citation.startPage1
oaire.citation.titleScientific Reports
oaire.citation.volume15
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBorges
person.familyNameFattorini
person.givenNamePaulo
person.givenNameSimone
person.identifier829215
person.identifier.ciencia-idFA1A-C9CB-9C29
person.identifier.orcid0000-0002-8448-7623
person.identifier.orcid0000-0002-4517-2135
person.identifier.ridB-2780-2008
person.identifier.ridE-7075-2012
person.identifier.scopus-author-id7003533390
relation.isAuthorOfPublicationd9716a90-cc3e-44d0-adc1-6933e3786278
relation.isAuthorOfPublication3db65c94-98e8-4b05-96f9-ff8801ffa1af
relation.isAuthorOfPublication.latestForDiscoveryd9716a90-cc3e-44d0-adc1-6933e3786278

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