Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing

Autores
Peri, Pablo Luis; Rosas, Yamina Micaela; Ladd, Brenton; Toledo, Santiago; Lasagno, Romina Gisele; Martínez Pastur, Guillermo José
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Soil total nitrogen (N) stock in rangelands, shrublands, and forests support key ecological functions such as the capacity of the land to sustain plant and animal productivity and ecosystem services. The objective of this study was to model soil total N stocks and soil C/N ratio from 0–30 cm depth across the region using freely accessible information on topography, climate, and vegetation with a view to establishing a baseline against which sustainable land management practices can be evaluated in Southern Patagonia. We used stepwise multiple regression to determine which independent variables best explained soil total N variation across the landscape in Southern Patagonia. We then used multiple regression models to upscale and produce maps of soil total N and C/N across the Santa Cruz province. Soil total N stock to 30 cm ranged from 0.13 to 2.21 kg N m−2, and soil C/N ratios ranged from 4.5 to 26.8. The model for variation of soil total N stock explained 88% of the variance on the data and the most powerful predictor variables were: isothermality, elevation, and vegetation cover (normalized difference vegetation index (NDVI)). Soil total N and soil C/N ratios were allocated to three categories (low, medium, high) and these three levels were used to map the variation of soil total N and soil C/N ratios across Southern Patagonia. The results demonstrate that soil total N decreases as desertification increases, probably due to erosional processes, and that soil C/N is lower at low temperatures and increased with increasing precipitation. Soil total N and soil C/N ratios are critical variables that determine system capacity for productivity, especially the provisioning ecosystem services, and can serve as baselines against which efforts to adopt more sustainable land management practices in Patagonia can be assessed.
EEA Santa Cruz
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; Argentina
Fil: Ladd, Brenton. Universidad Científica del Sur. Facultad de Ciencias Ambientales; Perú
Fil: Toledo, Santiago. Universidad Nacional de la Patagonia Austral; 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; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; Argentina
Fuente
Sustainability 11 (9) : 2707 (May 2019)
Materia
Suelo
Nitrógeno
Vegetación
Pastoreo
Clima
Utilización de la Tierra
Soil
Nitrogen
Vegetation
Grazing
Climate
Land Use
Región Patagónica
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
oai:localhost:20.500.12123/5302

id INTADig_992110208beb264add7db70cf0d78643
oai_identifier_str oai:localhost:20.500.12123/5302
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazingPeri, Pablo LuisRosas, Yamina MicaelaLadd, BrentonToledo, SantiagoLasagno, Romina GiseleMartínez Pastur, Guillermo JoséSueloNitrógenoVegetaciónPastoreoClimaUtilización de la TierraSoilNitrogenVegetationGrazingClimateLand UseRegión PatagónicaSoil total nitrogen (N) stock in rangelands, shrublands, and forests support key ecological functions such as the capacity of the land to sustain plant and animal productivity and ecosystem services. The objective of this study was to model soil total N stocks and soil C/N ratio from 0–30 cm depth across the region using freely accessible information on topography, climate, and vegetation with a view to establishing a baseline against which sustainable land management practices can be evaluated in Southern Patagonia. We used stepwise multiple regression to determine which independent variables best explained soil total N variation across the landscape in Southern Patagonia. We then used multiple regression models to upscale and produce maps of soil total N and C/N across the Santa Cruz province. Soil total N stock to 30 cm ranged from 0.13 to 2.21 kg N m−2, and soil C/N ratios ranged from 4.5 to 26.8. The model for variation of soil total N stock explained 88% of the variance on the data and the most powerful predictor variables were: isothermality, elevation, and vegetation cover (normalized difference vegetation index (NDVI)). Soil total N and soil C/N ratios were allocated to three categories (low, medium, high) and these three levels were used to map the variation of soil total N and soil C/N ratios across Southern Patagonia. The results demonstrate that soil total N decreases as desertification increases, probably due to erosional processes, and that soil C/N is lower at low temperatures and increased with increasing precipitation. Soil total N and soil C/N ratios are critical variables that determine system capacity for productivity, especially the provisioning ecosystem services, and can serve as baselines against which efforts to adopt more sustainable land management practices in Patagonia can be assessed.EEA Santa CruzFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; ArgentinaFil: Ladd, Brenton. Universidad Científica del Sur. Facultad de Ciencias Ambientales; PerúFil: Toledo, Santiago. Universidad Nacional de la Patagonia Austral; 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; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; ArgentinaMDPI2019-06-12T13:28:09Z2019-06-12T13:28:09Z2019-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.mdpi.com/2071-1050/11/9/2707http://hdl.handle.net/20.500.12123/53022071-1050https://doi.org/10.3390/su11092707Sustainability 11 (9) : 2707 (May 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)2025-09-29T13:44:41Zoai:localhost:20.500.12123/5302instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:41.815INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
title Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
spellingShingle Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
Peri, Pablo Luis
Suelo
Nitrógeno
Vegetación
Pastoreo
Clima
Utilización de la Tierra
Soil
Nitrogen
Vegetation
Grazing
Climate
Land Use
Región Patagónica
title_short Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
title_full Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
title_fullStr Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
title_full_unstemmed Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
title_sort Modeling soil nitrogen content in South Patagonia across a climate gradient, vegetation type, and grazing
dc.creator.none.fl_str_mv Peri, Pablo Luis
Rosas, Yamina Micaela
Ladd, Brenton
Toledo, Santiago
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
author Peri, Pablo Luis
author_facet Peri, Pablo Luis
Rosas, Yamina Micaela
Ladd, Brenton
Toledo, Santiago
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
author_role author
author2 Rosas, Yamina Micaela
Ladd, Brenton
Toledo, Santiago
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Suelo
Nitrógeno
Vegetación
Pastoreo
Clima
Utilización de la Tierra
Soil
Nitrogen
Vegetation
Grazing
Climate
Land Use
Región Patagónica
topic Suelo
Nitrógeno
Vegetación
Pastoreo
Clima
Utilización de la Tierra
Soil
Nitrogen
Vegetation
Grazing
Climate
Land Use
Región Patagónica
dc.description.none.fl_txt_mv Soil total nitrogen (N) stock in rangelands, shrublands, and forests support key ecological functions such as the capacity of the land to sustain plant and animal productivity and ecosystem services. The objective of this study was to model soil total N stocks and soil C/N ratio from 0–30 cm depth across the region using freely accessible information on topography, climate, and vegetation with a view to establishing a baseline against which sustainable land management practices can be evaluated in Southern Patagonia. We used stepwise multiple regression to determine which independent variables best explained soil total N variation across the landscape in Southern Patagonia. We then used multiple regression models to upscale and produce maps of soil total N and C/N across the Santa Cruz province. Soil total N stock to 30 cm ranged from 0.13 to 2.21 kg N m−2, and soil C/N ratios ranged from 4.5 to 26.8. The model for variation of soil total N stock explained 88% of the variance on the data and the most powerful predictor variables were: isothermality, elevation, and vegetation cover (normalized difference vegetation index (NDVI)). Soil total N and soil C/N ratios were allocated to three categories (low, medium, high) and these three levels were used to map the variation of soil total N and soil C/N ratios across Southern Patagonia. The results demonstrate that soil total N decreases as desertification increases, probably due to erosional processes, and that soil C/N is lower at low temperatures and increased with increasing precipitation. Soil total N and soil C/N ratios are critical variables that determine system capacity for productivity, especially the provisioning ecosystem services, and can serve as baselines against which efforts to adopt more sustainable land management practices in Patagonia can be assessed.
EEA Santa Cruz
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; Argentina
Fil: Ladd, Brenton. Universidad Científica del Sur. Facultad de Ciencias Ambientales; Perú
Fil: Toledo, Santiago. Universidad Nacional de la Patagonia Austral; 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; Argentina. Centro Austral de Investigaciones Cientificas. Laboratorio de Recursos Agroforestales; Argentina
description Soil total nitrogen (N) stock in rangelands, shrublands, and forests support key ecological functions such as the capacity of the land to sustain plant and animal productivity and ecosystem services. The objective of this study was to model soil total N stocks and soil C/N ratio from 0–30 cm depth across the region using freely accessible information on topography, climate, and vegetation with a view to establishing a baseline against which sustainable land management practices can be evaluated in Southern Patagonia. We used stepwise multiple regression to determine which independent variables best explained soil total N variation across the landscape in Southern Patagonia. We then used multiple regression models to upscale and produce maps of soil total N and C/N across the Santa Cruz province. Soil total N stock to 30 cm ranged from 0.13 to 2.21 kg N m−2, and soil C/N ratios ranged from 4.5 to 26.8. The model for variation of soil total N stock explained 88% of the variance on the data and the most powerful predictor variables were: isothermality, elevation, and vegetation cover (normalized difference vegetation index (NDVI)). Soil total N and soil C/N ratios were allocated to three categories (low, medium, high) and these three levels were used to map the variation of soil total N and soil C/N ratios across Southern Patagonia. The results demonstrate that soil total N decreases as desertification increases, probably due to erosional processes, and that soil C/N is lower at low temperatures and increased with increasing precipitation. Soil total N and soil C/N ratios are critical variables that determine system capacity for productivity, especially the provisioning ecosystem services, and can serve as baselines against which efforts to adopt more sustainable land management practices in Patagonia can be assessed.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-12T13:28:09Z
2019-06-12T13:28:09Z
2019-05
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.mdpi.com/2071-1050/11/9/2707
http://hdl.handle.net/20.500.12123/5302
2071-1050
https://doi.org/10.3390/su11092707
url https://www.mdpi.com/2071-1050/11/9/2707
http://hdl.handle.net/20.500.12123/5302
https://doi.org/10.3390/su11092707
identifier_str_mv 2071-1050
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 MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Sustainability 11 (9) : 2707 (May 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
_version_ 1844619134929731584
score 12.559606