Soil carbon is a useful surrogate for conservation planning in developing nations

Autores
Peri, Pablo Luis; Lasagno, Romina Gisele; Martínez Pastur, Guillermo José; Atkinson, Rachel; Thomas, Evert; Ladd, Brenton
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 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.
EEA Santa Cruz
Fil: 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; Argentina
Fil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas. Laboratorio de Recursos Agroforestales; Argentina
Fil: Atkinson, Rachel. Bioversity International; Perú
Fil: Thomas, Evert. Bioversity International; Perú
Fil: 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; Perú
Fuente
Scientific Reports 9 : 3905 (2019)
Materia
Biodiversidad
Suelo
Carbono
Conservación de los Recursos
Países en Desarrollo
Biodiversity
Soil
Carbon
Resource Conservation
Developing Countries
Carbono del Suelo
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Soil carbon is a useful surrogate for conservation planning in developing nationsPeri, Pablo LuisLasagno, Romina GiseleMartínez Pastur, Guillermo JoséAtkinson, RachelThomas, EvertLadd, BrentonBiodiversidadSueloCarbonoConservación de los RecursosPaíses en DesarrolloBiodiversitySoilCarbonResource ConservationDeveloping CountriesCarbono del SueloDefining 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.EEA Santa CruzFil: 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; ArgentinaFil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas. Laboratorio de Recursos Agroforestales; ArgentinaFil: Atkinson, Rachel. Bioversity International; PerúFil: Thomas, Evert. Bioversity International; PerúFil: 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; PerúNature Research2019-03-20T13:05:51Z2019-03-20T13:05:51Z2019-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.nature.com/articles/s41598-019-40741-0http://hdl.handle.net/20.500.12123/46782045-2322https://doi.org/10.1038/s41598-019-40741-0Scientific Reports 9 : 3905 (2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:47:52Zoai:localhost:20.500.12123/4678instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:47:53.48INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Soil carbon is a useful surrogate for conservation planning in developing nations
title Soil carbon is a useful surrogate for conservation planning in developing nations
spellingShingle Soil carbon is a useful surrogate for conservation planning in developing nations
Peri, Pablo Luis
Biodiversidad
Suelo
Carbono
Conservación de los Recursos
Países en Desarrollo
Biodiversity
Soil
Carbon
Resource Conservation
Developing Countries
Carbono del Suelo
title_short Soil carbon is a useful surrogate for conservation planning in developing nations
title_full Soil carbon is a useful surrogate for conservation planning in developing nations
title_fullStr Soil carbon is a useful surrogate for conservation planning in developing nations
title_full_unstemmed Soil carbon is a useful surrogate for conservation planning in developing nations
title_sort Soil carbon is a useful surrogate for conservation planning in developing nations
dc.creator.none.fl_str_mv Peri, Pablo Luis
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
Atkinson, Rachel
Thomas, Evert
Ladd, Brenton
author Peri, Pablo Luis
author_facet Peri, Pablo Luis
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
Atkinson, Rachel
Thomas, Evert
Ladd, Brenton
author_role author
author2 Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
Atkinson, Rachel
Thomas, Evert
Ladd, Brenton
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Biodiversidad
Suelo
Carbono
Conservación de los Recursos
Países en Desarrollo
Biodiversity
Soil
Carbon
Resource Conservation
Developing Countries
Carbono del Suelo
topic Biodiversidad
Suelo
Carbono
Conservación de los Recursos
Países en Desarrollo
Biodiversity
Soil
Carbon
Resource Conservation
Developing Countries
Carbono del Suelo
dc.description.none.fl_txt_mv 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 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.
EEA Santa Cruz
Fil: 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; Argentina
Fil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas. Laboratorio de Recursos Agroforestales; Argentina
Fil: Atkinson, Rachel. Bioversity International; Perú
Fil: Thomas, Evert. Bioversity International; Perú
Fil: 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; Perú
description 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 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-20T13:05:51Z
2019-03-20T13:05:51Z
2019-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.nature.com/articles/s41598-019-40741-0
http://hdl.handle.net/20.500.12123/4678
2045-2322
https://doi.org/10.1038/s41598-019-40741-0
url https://www.nature.com/articles/s41598-019-40741-0
http://hdl.handle.net/20.500.12123/4678
https://doi.org/10.1038/s41598-019-40741-0
identifier_str_mv 2045-2322
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv Scientific Reports 9 : 3905 (2019)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.623145

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