Soil carbon is a useful surrogate for conservation planning in developing nations
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 inco...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Nature Research
2019
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| Materias: | |
| Acceso en línea: | 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 |
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| author | Peri, Pablo Luis Lasagno, Romina Gisele Martínez Pastur, Guillermo José Atkinson, Rachel Thomas, Evert Ladd, Brenton |
| author_browse | Atkinson, Rachel Ladd, Brenton Lasagno, Romina Gisele Martínez Pastur, Guillermo José Peri, Pablo Luis Thomas, Evert |
| author_facet | Peri, Pablo Luis Lasagno, Romina Gisele Martínez Pastur, Guillermo José Atkinson, Rachel Thomas, Evert Ladd, Brenton |
| author_sort | Peri, Pablo Luis |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA4678 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Nature Research |
| publisherStr | Nature Research |
| record_format | dspace |
| spelling | INTA46782019-03-20T13:07:19Z Soil carbon is a useful surrogate for conservation planning in developing nations Peri, Pablo Luis Lasagno, Romina Gisele Martínez Pastur, Guillermo José Atkinson, Rachel Thomas, Evert Ladd, Brenton Biodiversidad Suelo Carbono Conservación de los Recursos Países en Desarrollo Biodiversity Soil Carbon Resource Conservation Developing Countries Carbono del Suelo 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 2019-03-20T13:05:51Z 2019-03-20T13:05:51Z 2019-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Nature Research Scientific Reports 9 : 3905 (2019) |
| spellingShingle | Biodiversidad Suelo Carbono Conservación de los Recursos Países en Desarrollo Biodiversity Soil Carbon Resource Conservation Developing Countries Carbono del Suelo Peri, Pablo Luis Lasagno, Romina Gisele Martínez Pastur, Guillermo José Atkinson, Rachel Thomas, Evert Ladd, Brenton 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 |
| 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_short | 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 |
| topic | Biodiversidad Suelo Carbono Conservación de los Recursos Países en Desarrollo Biodiversity Soil Carbon Resource Conservation Developing Countries Carbono del Suelo |
| 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 |
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