Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems

Nitrous oxide (N2O) is a potent greenhouse gas (GHG) contributing to global warming, with the agriculture sector as the major source of anthropogenic N2O emissions due to excessive fertilizer use. There is an urgent need to enhance regional‐/watershed‐scale models, such as Soil and Water Assessment...

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Autores principales:	Qichun Yang, Xuesong Zhang, Michael Abraha, Stephen Del grosso, G. P. Robertson, Jiquan Chen
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2017
Materias:	agriculture climate change greenhouse gas sensitivity analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/b71fb3a4875341188a03c56a25264894
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spelling	oai:doaj.org-article:b71fb3a4875341188a03c56a252648942021-12-02T11:51:55ZEnhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems2096-41292332-887810.1002/ehs2.1259https://doaj.org/article/b71fb3a4875341188a03c56a252648942017-02-01T00:00:00Zhttp://dx.doi.org/10.1002/ehs2.1259https://doaj.org/toc/2096-4129https://doaj.org/toc/2332-8878Nitrous oxide (N2O) is a potent greenhouse gas (GHG) contributing to global warming, with the agriculture sector as the major source of anthropogenic N2O emissions due to excessive fertilizer use. There is an urgent need to enhance regional‐/watershed‐scale models, such as Soil and Water Assessment Tool (SWAT), to credibly simulate N2O emissions to improve assessment of environmental impacts of cropping practices. Here, we integrated the DayCent model's N2O emission algorithms with the existing widely tested crop growth, hydrology, and nitrogen cycling algorithms in SWAT and evaluated this new tool for simulating N2O emissions in three agricultural systems (i.e., a continuous corn site, a switchgrass site, and a smooth brome grass site which was used as a reference site) located at the Great Lakes Bioenergy Research Center (GLBRC) scale‐up fields in southwestern Michigan. These three systems represent different levels of management intensity, with corn, switchgrass, and smooth brome grass (reference site) receiving high, medium, and zero fertilizer application, respectively. Results indicate that the enhanced SWAT model with default parameterization reproduced well the relative magnitudes of N2O emissions across the three sites, indicating the usefulness of the new tool (SWAT‐N2O) to estimate long‐term N2O emissions of diverse cropping systems. Notably, parameter calibration can significantly improve model simulations of seasonality of N2O fluxes, and explained up to 22.5%–49.7% of the variability in field observations. Further sensitivity analysis indicates that climate change (e.g., changes in precipitation and temperature) influences N2O emissions, highlighting the importance of optimizing crop management under a changing climate in order to achieve agricultural sustainability goals.Qichun YangXuesong ZhangMichael AbrahaStephen Del grossoG. P. RobertsonJiquan ChenTaylor & Francis Grouparticleagricultureclimate changegreenhouse gassensitivity analysisEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 3, Iss 2 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	agriculture climate change greenhouse gas sensitivity analysis Ecology QH540-549.5
spellingShingle	agriculture climate change greenhouse gas sensitivity analysis Ecology QH540-549.5 Qichun Yang Xuesong Zhang Michael Abraha Stephen Del grosso G. P. Robertson Jiquan Chen Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems
description	Nitrous oxide (N2O) is a potent greenhouse gas (GHG) contributing to global warming, with the agriculture sector as the major source of anthropogenic N2O emissions due to excessive fertilizer use. There is an urgent need to enhance regional‐/watershed‐scale models, such as Soil and Water Assessment Tool (SWAT), to credibly simulate N2O emissions to improve assessment of environmental impacts of cropping practices. Here, we integrated the DayCent model's N2O emission algorithms with the existing widely tested crop growth, hydrology, and nitrogen cycling algorithms in SWAT and evaluated this new tool for simulating N2O emissions in three agricultural systems (i.e., a continuous corn site, a switchgrass site, and a smooth brome grass site which was used as a reference site) located at the Great Lakes Bioenergy Research Center (GLBRC) scale‐up fields in southwestern Michigan. These three systems represent different levels of management intensity, with corn, switchgrass, and smooth brome grass (reference site) receiving high, medium, and zero fertilizer application, respectively. Results indicate that the enhanced SWAT model with default parameterization reproduced well the relative magnitudes of N2O emissions across the three sites, indicating the usefulness of the new tool (SWAT‐N2O) to estimate long‐term N2O emissions of diverse cropping systems. Notably, parameter calibration can significantly improve model simulations of seasonality of N2O fluxes, and explained up to 22.5%–49.7% of the variability in field observations. Further sensitivity analysis indicates that climate change (e.g., changes in precipitation and temperature) influences N2O emissions, highlighting the importance of optimizing crop management under a changing climate in order to achieve agricultural sustainability goals.
format	article
author	Qichun Yang Xuesong Zhang Michael Abraha Stephen Del grosso G. P. Robertson Jiquan Chen
author_facet	Qichun Yang Xuesong Zhang Michael Abraha Stephen Del grosso G. P. Robertson Jiquan Chen
author_sort	Qichun Yang
title	Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems
title_short	Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems
title_full	Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems
title_fullStr	Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems
title_full_unstemmed	Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems
title_sort	enhancing the soil and water assessment tool model for simulating n2o emissions of three agricultural systems
publisher	Taylor & Francis Group
publishDate	2017
url	https://doaj.org/article/b71fb3a4875341188a03c56a25264894
work_keys_str_mv	AT qichunyang enhancingthesoilandwaterassessmenttoolmodelforsimulatingn2oemissionsofthreeagriculturalsystems AT xuesongzhang enhancingthesoilandwaterassessmenttoolmodelforsimulatingn2oemissionsofthreeagriculturalsystems AT michaelabraha enhancingthesoilandwaterassessmenttoolmodelforsimulatingn2oemissionsofthreeagriculturalsystems AT stephendelgrosso enhancingthesoilandwaterassessmenttoolmodelforsimulatingn2oemissionsofthreeagriculturalsystems AT gprobertson enhancingthesoilandwaterassessmenttoolmodelforsimulatingn2oemissionsofthreeagriculturalsystems AT jiquanchen enhancingthesoilandwaterassessmenttoolmodelforsimulatingn2oemissionsofthreeagriculturalsystems
_version_	1718395127796334592

Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems

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