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Abstract
In the last years, different spatial analyses were developed to support multi-taxon biodiversity conservation strategies. In fact, the use of species distribution models as input allowed to create spatial decision-support maps. Of special interest are maps of potential biodiversity (MPB), which define distribution and ecological requirements of relevant species and maps of priority conservation areas (MPCA), which define priority areas considering [ver mas...]
dc.contributor.authorRosas, Yamina Micaela
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorLencinas, María Vanessa
dc.contributor.authorLizarraga, Leonidas
dc.contributor.authorMartinez Pastur, Guillermo José
dc.date.accessioned2022-02-14T12:06:12Z
dc.date.available2022-02-14T12:06:12Z
dc.date.issued2022-04-01
dc.identifier.citationRosas Y.M.; Peri P.L.; Lencina M.V.; Lizarraga L.; Martínez Pastur G. (2022) Multi-taxon biodiversity assessment of Southern Patagonia: Supporting conservation strategies at different landscapes. Journal of Environmental Management 307: 114578. DOI: 10.1016/j.jenvman.2022.114578.es_AR
dc.identifier.issn0301-4797
dc.identifier.otherhttps://doi.org/10.1016/j.jenvman.2022.114578
dc.identifier.urihttp://hdl.handle.net/20.500.12123/11136
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0301479722001517
dc.description.abstractIn the last years, different spatial analyses were developed to support multi-taxon biodiversity conservation strategies. In fact, the use of species distribution models as input allowed to create spatial decision-support maps. Of special interest are maps of potential biodiversity (MPB), which define distribution and ecological requirements of relevant species and maps of priority conservation areas (MPCA), which define priority areas considering endemism and richness. The objective of this paper was to assess multi-taxon biodiversity based on two different spatial analyses and to test their efficiency to support conservation decision at Patagonia. We computed 119 potential habitat suitability maps (one deer, birds, lizards, darkling-beetles, plants) with ENFA (Environmental Niche Factor Analysis) and 15 environmental variables, using Biomapper software. ENFA calculate two ecological indexes (marginality and specialization) which describe the narrowness of species niches and how extreme are the optimum environmental conditions related to the whole study area. These maps were combined obtaining a MPB and MPCA using Zonation software. Multivariate analyses were performed to compare methodologies, analysing environmental variables, ecological areas, forest types and protected areas. Multivariate and ecological indexes showed that deer, lizards and darkling-beetles presented a narrow range, while birds and plants presented a large range of marginality and specialization mainly related to vegetation and climate. At provincial level, highest potential biodiversity and conservation priority values were related to shrublands and humid steppes. However, MPCA showed higher values related to forests and alpine vegetation due to endemism, while MPB showed differences among forest types. These analyses showed that the most valuable areas were not represented in the protected areas, however, many higher conservation priority values were found inside the protected compared with unprotected areas. Different spatial decision-support maps presented similar outputs at provincial scale, but differed in the forest landscape matrix. Both methodologies can be used to plan conservation strategies depending on the specific objectives (e.g. highlighting richness or endemism).eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceJournal of Environmental Management 307 : 114578. (April 2022)es_AR
dc.subjectBiodiversityeng
dc.subjectBiodiversidades_AR
dc.subjectLandscape Conservationeng
dc.subjectConservación de Paisajees_AR
dc.subjectProtected Areaseng
dc.subjectÁreas Protegidases_AR
dc.subjectModelseng
dc.subjectModeloses_AR
dc.subjectEndemic Specieseng
dc.subjectEspecies Endémicases_AR
dc.subjectHabitat Suitabilityeng
dc.subjectIdoneidad del Hábitates_AR
dc.subjectSanta Cruz (Argentina)es_AR
dc.subject.otherEnvironmental Niche Factor Analysiseng
dc.subject.otherAnálisis Factorial de Nicho Ambientales_AR
dc.subject.otherBiomappereng
dc.subject.otherBiomapeadores_AR
dc.subject.otherPEBANPA Networkeng
dc.subject.otherRed PEBANPAes_AR
dc.subject.otherMaps of Potential Biodiversityeng
dc.subject.otherMapas de Biodiversidad Potenciales_AR
dc.subject.otherRegión Patagónicaes_AR
dc.titleMulti-taxon biodiversity assessment of Southern Patagonia: Supporting conservation strategies at different landscapes.es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_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: Lencinas, María Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.es_AR
dc.description.filFil: Lizárraga, Leonidas. Administración De Parques Nacionales. Dirección Regional Noroeste. Salta; 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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