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

Autores
Peri, Pablo Luis; Lasagno, Romina G.; 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.
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lasagno, Romina G.. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Atkinson, Rachel. No especifíca;
Fil: Thomas, Evert. No especifíca;
Fil: Ladd, Brenton. University of New South Wales; Australia. Universidad Científca del Sur; Perú
Materia
soil carbon
grasslands
conservation
threatened biodiversity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/118319

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spelling Soil carbon is a useful surrogate for conservation planning in developing nationsPeri, Pablo LuisLasagno, Romina G.Martínez Pastur, Guillermo JoséAtkinson, RachelThomas, EvertLadd, Brentonsoil carbongrasslandsconservationthreatened biodiversityhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Defining 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.Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lasagno, Romina G.. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Atkinson, Rachel. No especifíca;Fil: Thomas, Evert. No especifíca;Fil: Ladd, Brenton. University of New South Wales; Australia. Universidad Científca del Sur; PerúNature Publishing Group2019-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/118319Peri, Pablo Luis; Lasagno, Romina G.; Martínez Pastur, Guillermo José; Atkinson, Rachel; Thomas, Evert; et al.; Soil carbon is a useful surrogate for conservation planning in developing nations; Nature Publishing Group; Scientific Reports; 9; 1; 3-2019; 1-62045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-019-40741-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:10:30Zoai:ri.conicet.gov.ar:11336/118319instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:10:30.933CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
soil carbon
grasslands
conservation
threatened biodiversity
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 G.
Martínez Pastur, Guillermo José
Atkinson, Rachel
Thomas, Evert
Ladd, Brenton
author Peri, Pablo Luis
author_facet Peri, Pablo Luis
Lasagno, Romina G.
Martínez Pastur, Guillermo José
Atkinson, Rachel
Thomas, Evert
Ladd, Brenton
author_role author
author2 Lasagno, Romina G.
Martínez Pastur, Guillermo José
Atkinson, Rachel
Thomas, Evert
Ladd, Brenton
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv soil carbon
grasslands
conservation
threatened biodiversity
topic soil carbon
grasslands
conservation
threatened biodiversity
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
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.
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lasagno, Romina G.. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Atkinson, Rachel. No especifíca;
Fil: Thomas, Evert. No especifíca;
Fil: Ladd, Brenton. University of New South Wales; Australia. Universidad Científca del Sur; 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
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 http://hdl.handle.net/11336/118319
Peri, Pablo Luis; Lasagno, Romina G.; Martínez Pastur, Guillermo José; Atkinson, Rachel; Thomas, Evert; et al.; Soil carbon is a useful surrogate for conservation planning in developing nations; Nature Publishing Group; Scientific Reports; 9; 1; 3-2019; 1-6
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/118319
identifier_str_mv Peri, Pablo Luis; Lasagno, Romina G.; Martínez Pastur, Guillermo José; Atkinson, Rachel; Thomas, Evert; et al.; Soil carbon is a useful surrogate for conservation planning in developing nations; Nature Publishing Group; Scientific Reports; 9; 1; 3-2019; 1-6
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-019-40741-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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