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Sotirios V Archontoulis

Biographic Data

ID6926913
NAMESotirios V Archontoulis
GIVEN NAMESSotirios V
FAMILY NAMEArchontoulis
SIGNATUREARCHONTOULIS S V
AFFILIATIONSIowa State University
ORCID0000-0001-7595-8107
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS2
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Diversified cropping systems with limited carbon accrual but increased nitrogen supply

    Open Access•Bo Yi, Wenjuan Huang et al.•ARTICLE•Nature Sustainability•2025•References: 2

  • Reducing greenhouse gas emissions from North American soybean production

    Open Access•Tomás Della Chiesa, Daniel Northrup et al.•ARTICLE•Nature Sustainability•2024•Cited by: 1•References: 1

    The agricultural sector is responsible for substantial amounts of greenhouse gas emissions that exacerbate climate change. Such greenhouse gas emissions from upland crops are difficult to abate because they are dominated by nitrous oxide (N2O) production from soil processes. Strategies to reduce these emissions focus on N fertilizer management, and there is a widespread assumption that legume crops, which do not receive N fertilizer, emit little …

  • Interdisciplinary strategies to enable data-driven plant breeding in a changing climate

    Open Access•Aaron Kusmec, Zihao Zheng et al.•ARTICLE•One Earth•2021

  • Rotating maize reduces the risk and rate of nitrate leaching

    Open Access•Heather Pasley, Virginia Nichols et al.•ARTICLE•Environmental Research Letters•2021

    There is a strong link between nitrate (NO 3 -N) leaching from fertilized annual crops and the rate of nitrogen (N) fertilizer input. However, this leaching-fertilizer relationship is poorly understood and the degree to which soil type, weather, and cropping system influence it is largely unknown. We calibrated the Agricultural Production Systems sIMulator process-based cropping system model using 56 site-years of data sourced from eight field st…

  • Climate change shifts forward flowering and reduces crop waterlogging stress

    Open Access•Ke Liu, Matthew Tom Harrison et al.•ARTICLE•Environmental Research Letters•2021

    Climate change will drive increased frequencies of extreme climatic events. Despite this, there is little scholarly information on the extent to which waterlogging caused by extreme rainfall events will impact on crop physiological behaviour. To improve the ability to reliably model crop growth and development under soil waterlogging stress, we advanced the process-basis of waterlogging in the farming systems model Agricultural Systems Production…

  • Can multi-strategy management stabilize nitrate leaching under increasing rainfall

    Open Access•Rafael A Martinez‐Feria, Virginia Nichols et al.•ARTICLE•Environmental Research Letters•2019

    The increased spring rainfall intensity and amounts observed recently in the US Midwest poses additional risk of nitrate (NO 3 ) leaching from cropland, and contamination of surface and subsurface freshwater bodies. Several individual strategies can reduce NO 3 loading to freshwater ecosystems (i.e. optimize N fertilizer applications, planting cover crops, retention of active cycling N), but the potential for synergistic interactions among N mana…

  • Maize yield and nitrate loss prediction with machine learning algorithms

    Open Access•Mohsen Shahhosseini, Rafael A Martinez‐Feria et al.•ARTICLE•Environmental Research Letters•2019

    Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make decisions. Simulation crop models can assist in scenario planning, but their use is limited because of data requirements and long runtimes. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of four machine learning (ML) a…

  • Sustainable intensification of agricultural drainage

    Open Access•Michael J Castellano, Sotirios V Archontoulis et al.•ARTICLE•Nature Sustainability•2019•Cited by: 1•References: 4

  • Reducing greenhouse gas emissions from North American soybean production

    Open Access•Tomás Della Chiesa, Daniel Northrup et al.•ARTICLE•Nature Sustainability•2024•Cited by: 1•References: 1

    The agricultural sector is responsible for substantial amounts of greenhouse gas emissions that exacerbate climate change. Such greenhouse gas emissions from upland crops are difficult to abate because they are dominated by nitrous oxide (N2O) production from soil processes. Strategies to reduce these emissions focus on N fertilizer management, and there is a widespread assumption that legume crops, which do not receive N fertilizer, emit little …

  • Sustainable intensification of agricultural drainage

    Open Access•Michael J Castellano, Sotirios V Archontoulis et al.•ARTICLE•Nature Sustainability•2019•Cited by: 1•References: 4

  • Can multi-strategy management stabilize nitrate leaching under increasing rainfall

    Open Access•Rafael A Martinez‐Feria, Virginia Nichols et al.•ARTICLE•Environmental Research Letters•2019

    The increased spring rainfall intensity and amounts observed recently in the US Midwest poses additional risk of nitrate (NO 3 ) leaching from cropland, and contamination of surface and subsurface freshwater bodies. Several individual strategies can reduce NO 3 loading to freshwater ecosystems (i.e. optimize N fertilizer applications, planting cover crops, retention of active cycling N), but the potential for synergistic interactions among N mana…

  • Maize yield and nitrate loss prediction with machine learning algorithms

    Open Access•Mohsen Shahhosseini, Rafael A Martinez‐Feria et al.•ARTICLE•Environmental Research Letters•2019

    Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make decisions. Simulation crop models can assist in scenario planning, but their use is limited because of data requirements and long runtimes. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of four machine learning (ML) a…

  • Sustainable intensification of agricultural drainage

    Open Access•Michael J Castellano, Sotirios V Archontoulis et al.•ARTICLE•Nature Sustainability•2019•Cited by: 1•References: 4

  • Interdisciplinary strategies to enable data-driven plant breeding in a changing climate

    Open Access•Aaron Kusmec, Zihao Zheng et al.•ARTICLE•One Earth•2021

  • Rotating maize reduces the risk and rate of nitrate leaching

    Open Access•Heather Pasley, Virginia Nichols et al.•ARTICLE•Environmental Research Letters•2021

    There is a strong link between nitrate (NO 3 -N) leaching from fertilized annual crops and the rate of nitrogen (N) fertilizer input. However, this leaching-fertilizer relationship is poorly understood and the degree to which soil type, weather, and cropping system influence it is largely unknown. We calibrated the Agricultural Production Systems sIMulator process-based cropping system model using 56 site-years of data sourced from eight field st…

  • Climate change shifts forward flowering and reduces crop waterlogging stress

    Open Access•Ke Liu, Matthew Tom Harrison et al.•ARTICLE•Environmental Research Letters•2021

    Climate change will drive increased frequencies of extreme climatic events. Despite this, there is little scholarly information on the extent to which waterlogging caused by extreme rainfall events will impact on crop physiological behaviour. To improve the ability to reliably model crop growth and development under soil waterlogging stress, we advanced the process-basis of waterlogging in the farming systems model Agricultural Systems Production…

  • Reducing greenhouse gas emissions from North American soybean production

    Open Access•Tomás Della Chiesa, Daniel Northrup et al.•ARTICLE•Nature Sustainability•2024•Cited by: 1•References: 1

    The agricultural sector is responsible for substantial amounts of greenhouse gas emissions that exacerbate climate change. Such greenhouse gas emissions from upland crops are difficult to abate because they are dominated by nitrous oxide (N2O) production from soil processes. Strategies to reduce these emissions focus on N fertilizer management, and there is a widespread assumption that legume crops, which do not receive N fertilizer, emit little …

  • Diversified cropping systems with limited carbon accrual but increased nitrogen supply

    Open Access•Bo Yi, Wenjuan Huang et al.•ARTICLE•Nature Sustainability•2025•References: 2

Environmental Science (7 works) · Ecology (6 works) · Agronomy (5 works) · Biology (5 works) · Soil Carbon and Nitrogen Dynamics (5 works) · Agriculture (4 works) · Climate change impacts on agriculture (3 works) · Cropping (3 works) · Mathematics (3 works) · Soil and Water Nutrient Dynamics (3 works)

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