Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability
Background The nationally determined contribution (NDC) presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Convention on Climate Change (UNFCCC) on the reduction of emissions derived from deforestation...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Springer Nature
2024
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/16476 https://ecologicalprocesses.springeropen.com/articles/10.1186/s13717-023-00474-5 https://doi.org/10.1186/s13717-023-00474-5 |
| _version_ | 1855485772367396864 |
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| author | Peri, Pablo Luis Gaitan, Juan Jose Mastrangelo, Matias Enrique Nosetto, Marcelo Daniel Villagra, Pablo Eugenio Balducci, Ezequiel Diego Pinazo, Martin Alcides Eclesia, Roxana Paola Von Wallis, Alejandra Villarino, Sebastián Alaggia, Francisco Guillermo Gonzalez-Polo, Marina Manrique, Silvana M. Meglioli, Pablo A. Rodríguez‑Souilla, Julián Mónaco, Martín H. Chaves, Jimena Elizabeth Medina, Ariel Gasparri, Ignacio Alvarez Arnesi, Eugenio Barral, María Paula Von Müller, Axel Pahr, Norberto Manuel Uribe Echevarria, Josefina Fernandez, Pedro Sebastian Morsucci Labiano, Marina Lopez, Dardo Ruben Cellini, Juan Manuel Alvarez, Leandro M. Barberis, Ignacio Martín Colomb, Hernán Pablo La Manna, Ludmila Barbaro, Sebastian Ernesto Blundo, Cecilia Sirimarco, Marina Ximena Cavallero, Laura Zalazar, Gualberto Martínez Pastur, Guillermo José |
| author_browse | Alaggia, Francisco Guillermo Alvarez Arnesi, Eugenio Alvarez, Leandro M. Balducci, Ezequiel Diego Barbaro, Sebastian Ernesto Barberis, Ignacio Martín Barral, María Paula Blundo, Cecilia Cavallero, Laura Cellini, Juan Manuel Chaves, Jimena Elizabeth Colomb, Hernán Pablo Eclesia, Roxana Paola Fernandez, Pedro Sebastian Gaitan, Juan Jose Gasparri, Ignacio Gonzalez-Polo, Marina La Manna, Ludmila Lopez, Dardo Ruben Manrique, Silvana M. Martínez Pastur, Guillermo José Mastrangelo, Matias Enrique Medina, Ariel Meglioli, Pablo A. Morsucci Labiano, Marina Mónaco, Martín H. Nosetto, Marcelo Daniel Pahr, Norberto Manuel Peri, Pablo Luis Pinazo, Martin Alcides Rodríguez‑Souilla, Julián Sirimarco, Marina Ximena Uribe Echevarria, Josefina Villagra, Pablo Eugenio Villarino, Sebastián Von Müller, Axel Von Wallis, Alejandra Zalazar, Gualberto |
| author_facet | Peri, Pablo Luis Gaitan, Juan Jose Mastrangelo, Matias Enrique Nosetto, Marcelo Daniel Villagra, Pablo Eugenio Balducci, Ezequiel Diego Pinazo, Martin Alcides Eclesia, Roxana Paola Von Wallis, Alejandra Villarino, Sebastián Alaggia, Francisco Guillermo Gonzalez-Polo, Marina Manrique, Silvana M. Meglioli, Pablo A. Rodríguez‑Souilla, Julián Mónaco, Martín H. Chaves, Jimena Elizabeth Medina, Ariel Gasparri, Ignacio Alvarez Arnesi, Eugenio Barral, María Paula Von Müller, Axel Pahr, Norberto Manuel Uribe Echevarria, Josefina Fernandez, Pedro Sebastian Morsucci Labiano, Marina Lopez, Dardo Ruben Cellini, Juan Manuel Alvarez, Leandro M. Barberis, Ignacio Martín Colomb, Hernán Pablo La Manna, Ludmila Barbaro, Sebastian Ernesto Blundo, Cecilia Sirimarco, Marina Ximena Cavallero, Laura Zalazar, Gualberto Martínez Pastur, Guillermo José |
| author_sort | Peri, Pablo Luis |
| collection | INTA Digital |
| description | Background The nationally determined contribution (NDC) presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Convention on Climate Change (UNFCCC) on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation (REDD+). In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon (SOC) stocks of native forests have not been incorporated into the Forest Reference Emission Levels calculations and for conservation planning under climate variability due to a lack of information. The objectives of this study were: (i) to model SOC stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and (ii) to relate SOC stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter‑annual climate variability. Methods We used 1040 forest soil samples (0–30 cm) to generate spatially explicit estimates of SOC native forests in Argentina at a spatial resolution of approximately 200 m. We selected 52 potential predictive environmental covariates, which represent key factors for the spatial distribution of SOC. All covariate maps were uploaded to the Google
Earth Engine cloud‑based computing platform for subsequent modelling. To determine the biodiversity threats from high inter‑annual climate variability, we employed the spatial–temporal satellite‑derived indices based on Enhanced Vegetation Index (EVI) and land surface temperature (LST) images from Landsat imagery. Results SOC model (0–30 cm depth) prediction accounted for 69% of the variation of this soil property
across the whole native forest coverage in Argentina. Total mean SOC stock reached 2.81 Pg C (2.71–2.84 Pg C with a probability of 90%) for a total area of 460,790 km2, where Chaco forests represented 58.4% of total SOC stored, followed by Andean Patagonian forests (16.7%) and Espinal forests (10.0%). SOC stock model was fitted as a function of regional climate, which greatly influenced forest ecosystems, including precipitation (annual mean precipitation and precipitation of warmest quarter) and temperature (day land surface temperature, seasonality, maximum temperature of warmest month, month of maximum temperature, night land surface temperature, and monthly minimum temperature). Biodiversity was influenced by the SOC levels and the forest regions. Conclusions In the framework of the Kyoto Protocol and REDD+, information derived in the present work from the estimate of SOC in native forests can be incorporated into the annual National Inventory Report of Argentina
to assist forest management proposals. It also gives insight into how native forests can be more resilient to reduce the impact of biodiversity loss. |
| format | Artículo |
| id | INTA16476 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | dspace |
| spelling | INTA164762024-09-19T13:40:59Z Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability Peri, Pablo Luis Gaitan, Juan Jose Mastrangelo, Matias Enrique Nosetto, Marcelo Daniel Villagra, Pablo Eugenio Balducci, Ezequiel Diego Pinazo, Martin Alcides Eclesia, Roxana Paola Von Wallis, Alejandra Villarino, Sebastián Alaggia, Francisco Guillermo Gonzalez-Polo, Marina Manrique, Silvana M. Meglioli, Pablo A. Rodríguez‑Souilla, Julián Mónaco, Martín H. Chaves, Jimena Elizabeth Medina, Ariel Gasparri, Ignacio Alvarez Arnesi, Eugenio Barral, María Paula Von Müller, Axel Pahr, Norberto Manuel Uribe Echevarria, Josefina Fernandez, Pedro Sebastian Morsucci Labiano, Marina Lopez, Dardo Ruben Cellini, Juan Manuel Alvarez, Leandro M. Barberis, Ignacio Martín Colomb, Hernán Pablo La Manna, Ludmila Barbaro, Sebastian Ernesto Blundo, Cecilia Sirimarco, Marina Ximena Cavallero, Laura Zalazar, Gualberto Martínez Pastur, Guillermo José Primary Forests Carbon Stock Assessments Climate Change Climate Change Mitigation Modelling Resilience Biodiversity Soil Organic Carbon Ecosystem Services Resource Conservation Bosques Primarios Estimación de las Existencias de Carbono Cambio Climático Mitigación del Cambio Climático Modelización Resiliencia Biodiversidad Carbono Orgánico del Suelo Servicios de los Ecosistemas Conservación de los Recursos Argentina Native Forests Forest Reference Emission Levels Carbon Storage Digital Mapping Bosques Nativos Niveles de Emisión de Referencia Forestal Almacenamiento de Carbono Mapeo Digital Background The nationally determined contribution (NDC) presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Convention on Climate Change (UNFCCC) on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation (REDD+). In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon (SOC) stocks of native forests have not been incorporated into the Forest Reference Emission Levels calculations and for conservation planning under climate variability due to a lack of information. The objectives of this study were: (i) to model SOC stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and (ii) to relate SOC stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter‑annual climate variability. Methods We used 1040 forest soil samples (0–30 cm) to generate spatially explicit estimates of SOC native forests in Argentina at a spatial resolution of approximately 200 m. We selected 52 potential predictive environmental covariates, which represent key factors for the spatial distribution of SOC. All covariate maps were uploaded to the Google Earth Engine cloud‑based computing platform for subsequent modelling. To determine the biodiversity threats from high inter‑annual climate variability, we employed the spatial–temporal satellite‑derived indices based on Enhanced Vegetation Index (EVI) and land surface temperature (LST) images from Landsat imagery. Results SOC model (0–30 cm depth) prediction accounted for 69% of the variation of this soil property across the whole native forest coverage in Argentina. Total mean SOC stock reached 2.81 Pg C (2.71–2.84 Pg C with a probability of 90%) for a total area of 460,790 km2, where Chaco forests represented 58.4% of total SOC stored, followed by Andean Patagonian forests (16.7%) and Espinal forests (10.0%). SOC stock model was fitted as a function of regional climate, which greatly influenced forest ecosystems, including precipitation (annual mean precipitation and precipitation of warmest quarter) and temperature (day land surface temperature, seasonality, maximum temperature of warmest month, month of maximum temperature, night land surface temperature, and monthly minimum temperature). Biodiversity was influenced by the SOC levels and the forest regions. Conclusions In the framework of the Kyoto Protocol and REDD+, information derived in the present work from the estimate of SOC in native forests can be incorporated into the annual National Inventory Report of Argentina to assist forest management proposals. It also gives insight into how native forests can be more resilient to reduce the impact of biodiversity loss. EEA Santa Cruz Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Gaitan, Juan José. Universidad Nacional de Luján. Buenos Aires; Argentina. Fil: Gaitan, Juan José. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina. Fil: Mastrangelo, Matias Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Nosetto, Marcelo Daniel. Universidad Nacional de San Luis. Instituto de Matemática Aplicada San Luis. Grupo de Estudios Ambientales; Argentina. Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Villagra, Pablo Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales (IANIGLA); Argentina. Fil: Villagra, Pablo Eugenio. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina. Fil: Balducci, Ezequiel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Yuto; Argentina. Fil: Pinazo, Martín Alcides. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina. Fil: Eclesia, Roxana Paola. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina. Fil: Von Wallis, Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina. Fil: Villarino, Sebastián. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina. Fil: Villarino, Sebastián. 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Centro Científico Tecnológico Santa Fe; Argentina. Fil: Barral, María Paula. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina. Fil: Barral, María Paula. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Von Müller, Axel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel Argentina. Fil: Pahr, Norberto Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina. Fil: Uribe Echevarría, Josefina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Quimilí; Argentina. Fil: Fernandez, Pedro Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Famaillá; Argentina. Fil: Fernandez, Pedro Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. 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Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina. 2024-01-09T09:55:14Z 2024-01-09T09:55:14Z 2024-01-05 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/16476 https://ecologicalprocesses.springeropen.com/articles/10.1186/s13717-023-00474-5 Peri, P.L., Gaitán, J., Mastrangelo, M. et al. Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability. Ecol Process 13, 1 (2024). https://doi.org/10.1186/s13717-023-00474-5 2192-1709 https://doi.org/10.1186/s13717-023-00474-5 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 Springer Nature Ecological Processes 13 : 1 (2024) |
| spellingShingle | Primary Forests Carbon Stock Assessments Climate Change Climate Change Mitigation Modelling Resilience Biodiversity Soil Organic Carbon Ecosystem Services Resource Conservation Bosques Primarios Estimación de las Existencias de Carbono Cambio Climático Mitigación del Cambio Climático Modelización Resiliencia Biodiversidad Carbono Orgánico del Suelo Servicios de los Ecosistemas Conservación de los Recursos Argentina Native Forests Forest Reference Emission Levels Carbon Storage Digital Mapping Bosques Nativos Niveles de Emisión de Referencia Forestal Almacenamiento de Carbono Mapeo Digital Peri, Pablo Luis Gaitan, Juan Jose Mastrangelo, Matias Enrique Nosetto, Marcelo Daniel Villagra, Pablo Eugenio Balducci, Ezequiel Diego Pinazo, Martin Alcides Eclesia, Roxana Paola Von Wallis, Alejandra Villarino, Sebastián Alaggia, Francisco Guillermo Gonzalez-Polo, Marina Manrique, Silvana M. Meglioli, Pablo A. Rodríguez‑Souilla, Julián Mónaco, Martín H. Chaves, Jimena Elizabeth Medina, Ariel Gasparri, Ignacio Alvarez Arnesi, Eugenio Barral, María Paula Von Müller, Axel Pahr, Norberto Manuel Uribe Echevarria, Josefina Fernandez, Pedro Sebastian Morsucci Labiano, Marina Lopez, Dardo Ruben Cellini, Juan Manuel Alvarez, Leandro M. Barberis, Ignacio Martín Colomb, Hernán Pablo La Manna, Ludmila Barbaro, Sebastian Ernesto Blundo, Cecilia Sirimarco, Marina Ximena Cavallero, Laura Zalazar, Gualberto Martínez Pastur, Guillermo José Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability |
| title | Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability |
| title_full | Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability |
| title_fullStr | Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability |
| title_full_unstemmed | Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability |
| title_short | Soil organic carbon stocks in native forest of Argentina: a useful surrogate for mitigation and conservation planning under climate variability |
| title_sort | soil organic carbon stocks in native forest of argentina a useful surrogate for mitigation and conservation planning under climate variability |
| topic | Primary Forests Carbon Stock Assessments Climate Change Climate Change Mitigation Modelling Resilience Biodiversity Soil Organic Carbon Ecosystem Services Resource Conservation Bosques Primarios Estimación de las Existencias de Carbono Cambio Climático Mitigación del Cambio Climático Modelización Resiliencia Biodiversidad Carbono Orgánico del Suelo Servicios de los Ecosistemas Conservación de los Recursos Argentina Native Forests Forest Reference Emission Levels Carbon Storage Digital Mapping Bosques Nativos Niveles de Emisión de Referencia Forestal Almacenamiento de Carbono Mapeo Digital |
| url | http://hdl.handle.net/20.500.12123/16476 https://ecologicalprocesses.springeropen.com/articles/10.1186/s13717-023-00474-5 https://doi.org/10.1186/s13717-023-00474-5 |
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