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resumen

Resumen
Defining the optimal placement of areas for biodiversity conservation in developing nations remains a significant challenge. Our best methods for spatially targeting potential locations for biodiversity conservation rely heavily on extensive georeferenced species observation data which is often incomplete or lacking in developing nations. One possible solution is the use of surrogates that enable site assessments of potential biodiversity values which use [ver mas...]
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorLasagno, Romina Gisele
dc.contributor.authorMartínez Pastur, Guillermo José
dc.contributor.authorAtkinson, Rachel
dc.contributor.authorThomas, Evert
dc.contributor.authorLadd, Brenton
dc.date.accessioned2019-03-20T13:05:51Z
dc.date.available2019-03-20T13:05:51Z
dc.date.issued2019-03
dc.identifier.issn2045-2322
dc.identifier.otherhttps://doi.org/10.1038/s41598-019-40741-0
dc.identifier.urihttps://www.nature.com/articles/s41598-019-40741-0
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4678
dc.description.abstractDefining the optimal placement of areas for biodiversity conservation in developing nations remains a significant challenge. Our best methods for spatially targeting potential locations for biodiversity conservation rely heavily on extensive georeferenced species observation data which is often incomplete or lacking in developing nations. One possible solution is the use of surrogates that enable site assessments of potential biodiversity values which use either indicator taxa or abiotic variables, or both. Among the plethora of abiotic variables, soil carbon has previously been identified as a potentially powerful predictor for threatened biodiversity, but this has not yet been confirmed with direct observational data. Here we assess the potential value of soil carbon for spatial prediction of threatened species using direct measurements as well as a wide range of GIS derived abiotic values as surrogates for threatened plant species in the PEBANPA network of permanent plots in Southern Patagonia. We find that soil carbon significantly improves the performance of a biodiversity surrogate elaborated using abiotic variables to predict the presence of threatened species. Soil carbon could thus help to prioritize sites in conservation planning. Further, the results suggest that soil carbon on its own can be a much better surrogate than other abiotic variables when prioritization of sites for conservation are calibrated on increasingly small sets of observation plots. We call for the inclusion of soil carbon data in the elaboration of surrogates used to optimize conservation investments in the developing world.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherNature Researches_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceScientific Reports 9 : 3905 (2019)es_AR
dc.subjectBiodiversidades_AR
dc.subjectBiodiversityeng
dc.subjectSueloes_AR
dc.subjectSoileng
dc.subjectCarbonoes_AR
dc.subjectCarboneng
dc.subjectConservación de los Recursoses_AR
dc.subjectResource Conservationeng
dc.subjectPaíses en Desarrolloes_AR
dc.subjectDeveloping Countrieseng
dc.subject.otherCarbono del Sueloes_AR
dc.titleSoil carbon is a useful surrogate for conservation planning in developing nationses_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)
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentinaes_AR
dc.description.filFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas. Laboratorio de Recursos Agroforestales; Argentinaes_AR
dc.description.filFil: Atkinson, Rachel. Bioversity International; Perúes_AR
dc.description.filFil: Thomas, Evert. Bioversity International; Perúes_AR
dc.description.filFil: Ladd, Brenton. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; Australia. Universidad Científica del Sur. Facultad de Ciencias Ambientales; Perúes_AR
dc.subtypecientifico


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