Modelling pasture management practices for soil organic carbon gain in livestock systems

Our ability to develop strategies to mitigate climate change includes an understanding of, and our capacity to predict soil organic carbon (SOC) dynamics in livestock systems. Here we assess the capability of the Sustainable Grazing System (SGS) Pasture Model for predicting pasture growth (elongated wheatgrass, Thinopyrum ponticum) and SOC accumulation in different environments and under a range of pasture management practices in hydrohalomorphic soils located in South-eastern Buenos Aires Province, Argentina. After Model calibration, aerial net primary productivity (ANPP) and TSOC content under two grazing intensities (7.5 and 11 cm post-grazing target heights) and two N fertilization levels (0 and 100 kg N ha−1 yr−1) were simulated over a 10 year-period. The SGS Pasture Model predicted 87% of the observed ANPP, with observed and predicted ANPPs averaging 1.46 and 1.42 Mg ha−1 yr−1, respectively. There were differences in simulated ANPP between fertilized and unfertilized treatments both at high and low grazing intensities for the last year of the period. Total SOC contents from the modelling showed differences between high (83.7 to 84.2 Mg ha−1) and low (86.8 to 87.5 Mg ha−1) grazing intensities, with treatments receiving N also showing higher carbon stocks. The positive effect of reduced grazing intensity on soil carbon was explained by an increased input of aerial and subterranean dry matter into the soil. Sensitivity analysis showed that SGS is a robust model, capable of performing effectively under a variety of conditions. Hence, it can be used for exploring management practices to mitigate the impact of livestock systems on emissions and SOC stocks.

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Main Authors: Schimpf, Karen Gisele, Errecart, Pedro Manuel, Canziani, Graciela Ana
Format: info:ar-repo/semantics/artículo biblioteca
Language:eng
Published: Wiley 2022-09-13
Subjects:Modelización, Carbono Orgánico del Suelo, Manejo de Praderas, Modelling, Soil Organic Carbon, Grassland Management, Livestock Systems, Sistemas Pecuarios, Pasto,
Online Access:http://hdl.handle.net/20.500.12123/13972
https://onlinelibrary.wiley.com/doi/10.1111/gfs.12580
https://doi.org/10.1111/gfs.12580
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spelling oai:localhost:20.500.12123-139722023-02-14T14:18:00Z Modelling pasture management practices for soil organic carbon gain in livestock systems Schimpf, Karen Gisele Errecart, Pedro Manuel Canziani, Graciela Ana Modelización Carbono Orgánico del Suelo Manejo de Praderas Modelling Soil Organic Carbon Grassland Management Livestock Systems Sistemas Pecuarios Pasto Our ability to develop strategies to mitigate climate change includes an understanding of, and our capacity to predict soil organic carbon (SOC) dynamics in livestock systems. Here we assess the capability of the Sustainable Grazing System (SGS) Pasture Model for predicting pasture growth (elongated wheatgrass, Thinopyrum ponticum) and SOC accumulation in different environments and under a range of pasture management practices in hydrohalomorphic soils located in South-eastern Buenos Aires Province, Argentina. After Model calibration, aerial net primary productivity (ANPP) and TSOC content under two grazing intensities (7.5 and 11 cm post-grazing target heights) and two N fertilization levels (0 and 100 kg N ha−1 yr−1) were simulated over a 10 year-period. The SGS Pasture Model predicted 87% of the observed ANPP, with observed and predicted ANPPs averaging 1.46 and 1.42 Mg ha−1 yr−1, respectively. There were differences in simulated ANPP between fertilized and unfertilized treatments both at high and low grazing intensities for the last year of the period. Total SOC contents from the modelling showed differences between high (83.7 to 84.2 Mg ha−1) and low (86.8 to 87.5 Mg ha−1) grazing intensities, with treatments receiving N also showing higher carbon stocks. The positive effect of reduced grazing intensity on soil carbon was explained by an increased input of aerial and subterranean dry matter into the soil. Sensitivity analysis showed that SGS is a robust model, capable of performing effectively under a variety of conditions. Hence, it can be used for exploring management practices to mitigate the impact of livestock systems on emissions and SOC stocks. EEA Balcarce Fil: Schimpf, Karen Gisele. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires; Argentina. Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable; Argentina. Fil: Schimpf, Karen Gisele. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Errecart, Pedro Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Fil: Canziani, Graciela Ana. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas; Argentina. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires; Argentina. Instituto Multidisciplinario sobre Ecosistemas y Desarrollo Sustentable; Argentina. 2023-02-14T14:10:46Z 2023-02-14T14:10:46Z 2022-09-13 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/13972 https://onlinelibrary.wiley.com/doi/10.1111/gfs.12580 0142-5242 (print) 1365-2494 (online) https://doi.org/10.1111/gfs.12580 eng info:eu-repo/semantics/restrictedAccess application/pdf Wiley Grass and Forage Science : 1-13 (First published: 13 September 2022)
institution INTA AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-inta-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Central del INTA Argentina
language eng
topic Modelización
Carbono Orgánico del Suelo
Manejo de Praderas
Modelling
Soil Organic Carbon
Grassland Management
Livestock Systems
Sistemas Pecuarios
Pasto
Modelización
Carbono Orgánico del Suelo
Manejo de Praderas
Modelling
Soil Organic Carbon
Grassland Management
Livestock Systems
Sistemas Pecuarios
Pasto
spellingShingle Modelización
Carbono Orgánico del Suelo
Manejo de Praderas
Modelling
Soil Organic Carbon
Grassland Management
Livestock Systems
Sistemas Pecuarios
Pasto
Modelización
Carbono Orgánico del Suelo
Manejo de Praderas
Modelling
Soil Organic Carbon
Grassland Management
Livestock Systems
Sistemas Pecuarios
Pasto
Schimpf, Karen Gisele
Errecart, Pedro Manuel
Canziani, Graciela Ana
Modelling pasture management practices for soil organic carbon gain in livestock systems
description Our ability to develop strategies to mitigate climate change includes an understanding of, and our capacity to predict soil organic carbon (SOC) dynamics in livestock systems. Here we assess the capability of the Sustainable Grazing System (SGS) Pasture Model for predicting pasture growth (elongated wheatgrass, Thinopyrum ponticum) and SOC accumulation in different environments and under a range of pasture management practices in hydrohalomorphic soils located in South-eastern Buenos Aires Province, Argentina. After Model calibration, aerial net primary productivity (ANPP) and TSOC content under two grazing intensities (7.5 and 11 cm post-grazing target heights) and two N fertilization levels (0 and 100 kg N ha−1 yr−1) were simulated over a 10 year-period. The SGS Pasture Model predicted 87% of the observed ANPP, with observed and predicted ANPPs averaging 1.46 and 1.42 Mg ha−1 yr−1, respectively. There were differences in simulated ANPP between fertilized and unfertilized treatments both at high and low grazing intensities for the last year of the period. Total SOC contents from the modelling showed differences between high (83.7 to 84.2 Mg ha−1) and low (86.8 to 87.5 Mg ha−1) grazing intensities, with treatments receiving N also showing higher carbon stocks. The positive effect of reduced grazing intensity on soil carbon was explained by an increased input of aerial and subterranean dry matter into the soil. Sensitivity analysis showed that SGS is a robust model, capable of performing effectively under a variety of conditions. Hence, it can be used for exploring management practices to mitigate the impact of livestock systems on emissions and SOC stocks.
format info:ar-repo/semantics/artículo
topic_facet Modelización
Carbono Orgánico del Suelo
Manejo de Praderas
Modelling
Soil Organic Carbon
Grassland Management
Livestock Systems
Sistemas Pecuarios
Pasto
author Schimpf, Karen Gisele
Errecart, Pedro Manuel
Canziani, Graciela Ana
author_facet Schimpf, Karen Gisele
Errecart, Pedro Manuel
Canziani, Graciela Ana
author_sort Schimpf, Karen Gisele
title Modelling pasture management practices for soil organic carbon gain in livestock systems
title_short Modelling pasture management practices for soil organic carbon gain in livestock systems
title_full Modelling pasture management practices for soil organic carbon gain in livestock systems
title_fullStr Modelling pasture management practices for soil organic carbon gain in livestock systems
title_full_unstemmed Modelling pasture management practices for soil organic carbon gain in livestock systems
title_sort modelling pasture management practices for soil organic carbon gain in livestock systems
publisher Wiley
publishDate 2022-09-13
url http://hdl.handle.net/20.500.12123/13972
https://onlinelibrary.wiley.com/doi/10.1111/gfs.12580
https://doi.org/10.1111/gfs.12580
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AT errecartpedromanuel modellingpasturemanagementpracticesforsoilorganiccarbongaininlivestocksystems
AT canzianigracielaana modellingpasturemanagementpracticesforsoilorganiccarbongaininlivestocksystems
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