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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/118319
Ver los metadatos del registro completo
id |
CONICETDig_098de272afed266768b0a103833950ce |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/118319 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
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 |
_version_ |
1842270122463461376 |
score |
13.13397 |