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Different methodologies try to identify priority conservation areas (PCA) to improve habitat conservation and decrease human pressures over bird species at coarse-scale. Map of potential biodiversity (PB) can identify PCA (high PB values) at different scale levels by considering ecological requirements and distributions through potential habitat suitability (PHS) models. The aim was to elaborate a map of PB of bird species based on PHS models to spatially [ver mas...]
dc.contributor.authorRosas, Yamina Micaela
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorBenítez, Julieta
dc.contributor.authorLencinas, María Vanessa
dc.contributor.authorPoliti, Natalia
dc.contributor.authorMartínez Pastur, Guillermo José
dc.date.accessioned2024-01-03T13:40:58Z
dc.date.available2024-01-03T13:40:58Z
dc.date.issued2023-06
dc.identifier.citationRosas Y.M.; Peri P.L.; Benitez J.; Lencinas M.V.; Politi N.; Martínez Pastur G. (2023) Potential biodiversity map of bird species (Passeriformes): Analyses of ecological niche, environmental characterization and identifcation of priority conservation areas in southern Patagonia. Journal for Nature Conservation 73: 126413. DOI: https://doi.org/10.1016/j.jnc.2023.126413.es_AR
dc.identifier.issn1617-1381 (print)
dc.identifier.issn1618-1093 (online)
dc.identifier.otherhttps://doi.org/10.1016/j.jnc.2023.126413
dc.identifier.urihttp://hdl.handle.net/20.500.12123/16438
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1617138123000845
dc.description.abstractDifferent methodologies try to identify priority conservation areas (PCA) to improve habitat conservation and decrease human pressures over bird species at coarse-scale. Map of potential biodiversity (PB) can identify PCA (high PB values) at different scale levels by considering ecological requirements and distributions through potential habitat suitability (PHS) models. The aim was to elaborate a map of PB of bird species based on PHS models to spatially identify PCA in Santa Cruz, Argentina. Moreover, we want to analysis species’ ecology requirements, and evaluate PB values and spatially identify PCA through two scale levels. We computed 47 models using Environmental Niche Factor Analysis (ENFA) on Biomapper software. Each model was visualized and combined to get a unique map of PB. We analyzed ecological requirements by specialization and marginality and PHS maps. Moreover, considering natural environments (regional level) and forest types’ cover (forest landscape level), we evaluated PB values using ANOVAs and identified PCA under different human pressures, using human footprint (HPF) map. Bird species related to Nothofagus forests were most specialist and exhibited a narrower potential distribution than grassland species. At regional level, Magellanic grass steppes displayed the highest PB values, where most of the PCA had high HPF values. At forest landscape level, ecotone N. antarctica forests had the highest PB values, where PCA with low HFP values were outside current protected networking. We conclude that combining PHS models and the map of PB allowed us to improve bird distribution studies and to assist biodiversity conservation strategies under human pressures.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceJournal for Nature Conservation 73 : 126413 (June 2023)es_AR
dc.subjectBirdseng
dc.subjectAveses_AR
dc.subjectPasseriformeseng
dc.subjectHabitat Suitabilityeng
dc.subjectIoneidad de Hábitates_AR
dc.subjectModelseng
dc.subjectModeloses_AR
dc.subjectSanta Cruz (Argentina)es_AR
dc.subject.otherHotspot of Conservationeng
dc.subject.otherPunto Caliente de Conservaciónes_AR
dc.subject.otherThreatened Areaseng
dc.subject.otherZonas Amenazadases_AR
dc.subject.otherLandscape Scaleseng
dc.subject.otherEscalas de Paisajees_AR
dc.subject.otherEcological Requirementseng
dc.subject.otherRequisitos Ecológicoses_AR
dc.subject.otherPotential Habitat Suitability (PHS)eng
dc.subject.otherAptitud Potencial del Hábitates_AR
dc.subject.otherEnvironmental Niche Factor Analysis (ENFA)eng
dc.subject.otherAnálisis del Factor de Nicho Ambientales_AR
dc.subject.otherRegión Patagónica
dc.titlePotential biodiversity map of bird species (Passeriformes): Analyses of ecological niche, environmental characterization and identification of priority conservation areas in southern Patagoniaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Benítez, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC). Laboratorio de Recursos Agroforestales; Argentina.es_AR
dc.description.filFil: Lencinas, María Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.es_AR
dc.description.filFil: Politi, Natalia. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Politi, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecoregiones Andinas (INECOA); Argentina.es_AR
dc.description.filFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.es_AR
dc.subtypecientifico


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