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Resumen
Different methodologies had been developed for species management and conservation based on modelling of potential biodiversity at regional scales. However, most of these models were fitted for umbrella species (e.g. big mammals) rather than micro-fauna. Beetles should be included to improve conservation strategies due to their functional roles and vulnerability in arid environments. The maps of potential biodiversity (MPB) based on different potential [ver mas...]
dc.contributor.authorRosas, Yamina Micaela
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorCarrara, Rodolfo
dc.contributor.authorFlores, Gustavo Ernesto
dc.contributor.authorPedrana, Julieta
dc.contributor.authorMartínez Pastur, Guillermo José
dc.date.accessioned2019-08-26T13:05:02Z
dc.date.available2019-08-26T13:05:02Z
dc.date.issued2019-07-23
dc.identifier.issn1366-638X
dc.identifier.issn1572-9753
dc.identifier.otherhttps://doi.org/10.1007/s10841-019-00170-w
dc.identifier.urihttps://link.springer.com/article/10.1007/s10841-019-00170-w
dc.identifier.urihttp://hdl.handle.net/20.500.12123/5688
dc.description.abstractDifferent methodologies had been developed for species management and conservation based on modelling of potential biodiversity at regional scales. However, most of these models were fitted for umbrella species (e.g. big mammals) rather than micro-fauna. Beetles should be included to improve conservation strategies due to their functional roles and vulnerability in arid environments. The maps of potential biodiversity (MPB) based on different potential habitat suitability (PHS) maps are useful to indicate high biodiversity areas. Firstly, we aim to elaborate a MPB of darkling beetles (Coleoptera: Tenebrionidae) based on 10 species PHS maps inhabiting Santa Cruz Province (Argentina). Then, we analysed the MPB an environmental gradients and land-use variables. We explored 41 potential variables to develop PHS maps. The MPB was included into a GIS project, and was analysed considering climatic and topographic variables, ecological areas and soil organic carbon (SOC) stock, also sheep density, desertification and protected area network. The modelled showed great variability in their habitat requirements (e.g. temperature), where marginality (PHS differs from the available conditions) and specialization (environmental condition range of PHS) determined three species groups. MPB increased from grasslands in the NE to shrublands in the SE, and was higher with SOC, sheep density and desertification degree. Protection areas included lower MPB for darkling beetles, where provincial reserves have a major conservation role compared with national parks. MPB allowed us to understand the potential trade-offs with the environment and human uses. This gave us a tool to development new strategies (e.g. land-sparing) for management and conservation.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceJournal of Insect Conservation 23 : 885–897 (July 2019)es_AR
dc.subjectColeopteraes_AR
dc.subjectTenebrionidaees_AR
dc.subjectConservación de la Diversidad Biológicaes_AR
dc.subjectBiodiversity Conservationeng
dc.subjectMedio Ambientees_AR
dc.subjectEnvironmenteng
dc.subjectUtilización de la Tierraes_AR
dc.subjectLand Useeng
dc.subjectHabitates_AR
dc.subjectHabitatseng
dc.subject.otherEscarabajoes_AR
dc.subject.otherBeetleses_AR
dc.subject.otherRegión Patagónicaes_AR
dc.titlePotential biodiversity map of darkling beetles (Tenebrionidae): environmental characterization, land-uses and analyses of protection 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.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; Argentinaes_AR
dc.description.filFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Carrara, Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentinaes_AR
dc.description.filFil: Flores, Gustavo Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentinaes_AR
dc.description.filFil: Pedrana, Julieta. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina.es_AR
dc.description.filFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; Argentinaes_AR
dc.subtypecientifico


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