Mostrar el registro sencillo del ítem

dc.contributor.authorRomero-Pacheco, David 
dc.contributor.authorMartín-Taboada, Adrián
dc.contributor.authorAliaga-Samanez, Alisa
dc.contributor.authorChamorro Sierra, Dario
dc.contributor.authorDíaz-Ruiz, Francisco
dc.contributor.authorMuñoz-Gallego, Antonio Román 
dc.contributor.authorGarcía-Carrasco, José María
dc.contributor.authorMárquez-Moya, Ana Luz 
dc.contributor.authorOlivero-Anarte, Jesús 
dc.contributor.authorReal-Giménez, Raimundo 
dc.date.accessioned2022-06-15T08:04:37Z
dc.date.available2022-06-15T08:04:37Z
dc.date.created2022-06-15
dc.date.issued2022
dc.identifier.citationRomero D et al 2022. Biogeographical modelling of the species competitive interactions: a fuzzy logic Approach. 10th Biennial Conference of the International Biogeography Society, Vanouver/Canada 2 to 6 June 2022.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/24369
dc.description.abstractThe environmental conditions of a territory determine to what degree the species are related to each other and to the environment. Species distribution models are used to establish relationships between the environment and the species distribution. Models based on fuzzy logic through the Favourability Function also allow the análisis of relationships between distributions of different taxa. By considering how the environment influences competition relationships between two species, we proposed the biogeographic analysis of three posible scenarios: i) sympatric coexistence; ii) environmental segregation; and iii) competitive exclusion. In order to identify these scenarios in different pairs of species with overlapping distributions, the Favourability Function and fuzzy logic tools were applied. Specifically, for each case, the favourability for each species and the fuzzy intersection between them, or “shared favourability”, was calculated. For each case, the relationship between the favourability for each species and the shared favourability was analyzed, highlighting the areas where either environmental segregation, competitive exclusion or sympatric coexistence is predicted. The results showed that the Favourability Function is a useful tool for analyzing large-scale biogeographical outcomes of ecological interactions between species.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Teches_ES
dc.language.isoenges_ES
dc.publisherInternational Biogeography Societyes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBiogeografíaes_ES
dc.subjectEspecies (Biología) - Conservaciónes_ES
dc.subjectMamíferoses_ES
dc.subjectTortugases_ES
dc.subjectVíborases_ES
dc.subjectAves de presaes_ES
dc.subject.otherBiogeographyes_ES
dc.subject.otherConservationes_ES
dc.subject.otherFavorability Functiones_ES
dc.subject.otherMammalses_ES
dc.subject.otherTurtleses_ES
dc.subject.otherViperses_ES
dc.subject.otherBirds of preyes_ES
dc.titleBiogeographical modelling of the species competitive interactions: a fuzzy logic approaches_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroFacultad de Cienciases_ES
dc.relation.eventtitle10 th Biennial Conference of the International Biogeography Societyes_ES
dc.relation.eventplaceVancouver, Canadaes_ES
dc.relation.eventdate2 junio 2022es_ES
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional