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Flynn NE, Stewart CE, Comas LH, Del Grosso SJ, Schnarr C, Schipanski M, von Fischer JC, Stuchiner ER, Fonte SJ. Deficit irrigation impacts on greenhouse gas emissions under drip-fertigated maize in the Great Plains of Colorado. J Environ Qual 2022; 51:877-889. [PMID: 35436352 DOI: 10.1002/jeq2.20353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
Precise water and fertilizer application can increase crop water productivity and reduce agricultural contributions to greenhouse gas (GHG) emissions. Regulated deficit irrigation (DI) and drip fertigation control the amount, location, and timing of water and nutrient application. Yet, few studies have measured GHG emissions under these practices, especially for maize (Zea mays L.). The objective was to quantify N2 O and CO2 emission from DI and full irrigation (FI) within a drip-fertigated maize system in northeastern Colorado. During two growing seasons of measurement, treatments consisted of mild, moderate, and extreme DI and FI. Deficit irrigation was managed based on growth stage so that full evapotranspiration (ET) was met during the yield-sensitive reproductive stage, but less than full crop ET was applied during the late vegetative and maturation growth stages. In the first year, mild DI (90% ET) reduced N2 O emissions by 50% compared with FI. In the second year, compared with FI, moderate DI (69-80% ET) reduced N2 O emissions by 15%, and extreme DI (54-68% ET) reduced N2 O emissions by 40%. Only extreme DI in the second year significantly reduced CO2 emissions (by 30%) compared with FI. Mild DI reduced yield-scaled emissions in the first year, but moderate and extreme DI had similar yield-scaled emissions as FI in the second year. The surface drip fertigation resulted in total GHG emissions that were one-tenth of literature-based measurements from sprinkler-irrigated maize systems. This study illustrates the potential of DI and drip fertigation to reduce N2 O and CO2 emissions in irrigated cropping systems.
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Affiliation(s)
- Nora E Flynn
- Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO, 80523, USA
- USDA-ARS, Water Management and Systems Research Unit, Fort Collins, CO, 80526, USA
| | - Catherine E Stewart
- USDA-ARS, Soil Management and Sugar Beet Research Unit, Fort Collins, CO, 80526, USA
| | - Louise H Comas
- Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO, 80523, USA
- USDA-ARS, Water Management and Systems Research Unit, Fort Collins, CO, 80526, USA
- Graduate Degree Program in Ecology, Colorado State Univ., Fort Collins, CO, 80523, USA
| | - Stephen J Del Grosso
- USDA-ARS, Soil Management and Sugar Beet Research Unit, Fort Collins, CO, 80526, USA
| | | | - Meagan Schipanski
- Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO, 80523, USA
- Graduate Degree Program in Ecology, Colorado State Univ., Fort Collins, CO, 80523, USA
| | - Joseph C von Fischer
- Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO, 80523, USA
- Graduate Degree Program in Ecology, Colorado State Univ., Fort Collins, CO, 80523, USA
| | - Emily R Stuchiner
- Graduate Degree Program in Ecology, Colorado State Univ., Fort Collins, CO, 80523, USA
- Dep. of Biology, Colorado State Univ., Fort Collins, CO, 80523, USA
| | - Steven J Fonte
- Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO, 80523, USA
- Graduate Degree Program in Ecology, Colorado State Univ., Fort Collins, CO, 80523, USA
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2
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Della Chiesa T, Piñeiro G, Del Grosso SJ, Parton WJ, Araujo PI, Yahdjian L. Higher than expected N 2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements. Sci Total Environ 2022; 835:155408. [PMID: 35469874 DOI: 10.1016/j.scitotenv.2022.155408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 03/08/2022] [Accepted: 04/16/2022] [Indexed: 06/14/2023]
Abstract
In developing countries, agriculture generally represents a large fraction of GHG emissions reported in National Inventories, and emissions are typically estimated using Tier 1 IPCC guidelines. However, field data and locally adapted simulation models can improve the accuracy of IPCC estimations. In this study we aimed to quantify anthropogenic N2O emissions from croplands of Argentina through field measurements, model simulations and IPCC guidelines. We measured N2O emissions and their controlling factors in 62 plots of the Pampas Region with corn, soybean and wheat/soybean crops and in unmanaged grasslands. We accounted for gross emissions from crops and background emissions from unmanaged grasslands to calculate net anthropogenic emissions from crops as the difference between them. We calibrated and evaluated the DayCent model and then simulated different weather and management scenarios. Finally, we applied IPCC guidelines to estimate anthropogenic N2O emissions at the same plots. The DayCent model accurately simulated annual N2O emission for all crops as compared to measured data (RMSE = 1.4 g N ha-1 day-1). Measured and simulated emissions in soybean crops were higher than in corn and wheat/soybean crops. Gross N2O emissions ranged from 1.4 to 5.1 kg N ha-1 yr-1 for current environmental (soil and weather) and management (crops and fertilizer doses) conditions. Background emissions ranged between 1.1 and 1.3 kg N ha-1 yr-1, and therefore net anthropogenic emissions ranged from 0.3 to 4.0 kg N ha-1 yr-1. IPCC Tier 1 emission factors underestimated N2O releases from soybean, that were on average 4.87 times greater when estimated with DayCent and observations (0.53 vs 2.47 and 2.69 kg N ha-1 yr-1, respectively). On the contrary, IPCC estimates for corn and wheat/soybean crops were similar to modeled and measured values. Our results suggest that N2O emissions from the vast 15 million ha of soybean croplands in the Pampas Region may be substantially underestimated.
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Affiliation(s)
- Tomas Della Chiesa
- CONICET-Universidad de Buenos Aires, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Agronomía, Catedra de Climatología y Fenología Agrícolas, Buenos Aires, Argentina.
| | - Gervasio Piñeiro
- CONICET-Universidad de Buenos Aires, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), Buenos Aires, Argentina; LART-Laboratorio de Análisis Regional y Teledetección, Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Agronomía, Departamento de Recursos Naturales y Ambiente, Catedra de Ecología, Buenos Aires, Argentina
| | | | - William J Parton
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA
| | - Patricia I Araujo
- Estación Experimental Agropecuaria Pergamino, Instituto Nacional de Tecnología Agropecuaria (INTA), Pergamino, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Laura Yahdjian
- CONICET-Universidad de Buenos Aires, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Agronomía, Departamento de Recursos Naturales y Ambiente, Catedra de Ecología, Buenos Aires, Argentina
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3
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Della Chiesa T, Del Grosso SJ, Hartman MD, Parton WJ, Echarte L, Yahdjian L, Piñeiro G. A novel mechanism to simulate intercropping and relay cropping using the DayCent model. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2021.109869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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4
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Gurung RB, Ogle SM, Breidt FJ, Parton WJ, Del Grosso SJ, Zhang Y, Hartman MD, Williams SA, Venterea RT. Modeling nitrous oxide mitigation potential of enhanced efficiency nitrogen fertilizers from agricultural systems. Sci Total Environ 2021; 801:149342. [PMID: 34467931 DOI: 10.1016/j.scitotenv.2021.149342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 07/19/2021] [Accepted: 07/25/2021] [Indexed: 06/13/2023]
Abstract
Agriculture soils are responsible for a large proportion of global nitrous oxide (N2O) emissions-a potent greenhouse gas and ozone depleting substance. Enhanced-efficiency nitrogen (N) fertilizers (EENFs) can reduce N2O emission from N-fertilized soils, but their effect varies considerably due to a combination of factors, including climatic conditions, edaphic characteristics and management practices. In this study, we further developed the DayCent ecosystem model to simulate two EENFs: controlled-release N fertilizers (CRNFs) and nitrification inhibitors (NIs) and evaluated their N2O mitigation potentials. We implemented a Bayesian calibration method using the sampling importance resampling (SIR) algorithm to derive a joint posterior distribution of model parameters that was informed by N2O flux measurements from corn production systems a network of experimental sites within the GRACEnet program. The joint posterior distribution can be applied to estimate predictions of N2O reduction factors when EENFs are adopted in place of conventional urea-based N fertilizer. The resulting median reduction factors were - 11.9% for CRNFs (ranging from -51.7% and 0.58%) and - 26.7% for NIs (ranging from -61.8% to 3.1%), which is comparable to the measured reduction factors in the dataset. By incorporating EENFs, the DayCent ecosystem model is able to simulate a broader suite of options to identify best management practices for reducing N2O emissions.
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Affiliation(s)
- Ram B Gurung
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA; Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA.
| | - Stephen M Ogle
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA; Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523, USA
| | - F Jay Breidt
- Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA
| | - William J Parton
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA
| | - Stephen J Del Grosso
- Soil Management and Sugar Beet Research, USDA-ARS-SPNR, Fort Collins, CO, 80526, USA
| | - Yao Zhang
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA
| | - Melannie D Hartman
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA
| | - Stephen A Williams
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA
| | - Rodney T Venterea
- Soil and Water Management Research Unit, USDA-ARS, St. Paul, MN 55108, USA
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5
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Shang Z, Zhou F, Smith P, Saikawa E, Ciais P, Chang J, Tian H, Del Grosso SJ, Ito A, Chen M, Wang Q, Bo Y, Cui X, Castaldi S, Juszczak R, Kasimir Å, Magliulo V, Medinets S, Medinets V, Rees RM, Wohlfahrt G, Sabbatini S. Weakened growth of cropland-N 2 O emissions in China associated with nationwide policy interventions. Glob Chang Biol 2019; 25:3706-3719. [PMID: 31233668 DOI: 10.1111/gcb.14741] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 06/17/2019] [Indexed: 06/09/2023]
Abstract
China has experienced rapid agricultural development over recent decades, accompanied by increased fertilizer consumption in croplands; yet, the trend and drivers of the associated nitrous oxide (N2 O) emissions remain uncertain. The primary sources of this uncertainty are the coarse spatial variation of activity data and the incomplete model representation of N2 O emissions in response to agricultural management. Here, we provide new data-driven estimates of cropland-N2 O emissions across China in 1990-2014, compiled using a global cropland-N2 O flux observation dataset, nationwide survey-based reconstruction of N-fertilization and irrigation, and an updated nonlinear model. In addition, we have evaluated the drivers behind changing cropland-N2 O patterns using an index decomposition analysis approach. We find that China's annual cropland-N2 O emissions increased on average by 11.2 Gg N/year2 (p < .001) from 1990 to 2003, after which emissions plateaued until 2014 (2.8 Gg N/year2 , p = .02), consistent with the output from an ensemble of process-based terrestrial biosphere models. The slowdown of the increase in cropland-N2 O emissions after 2003 was pervasive across two thirds of China's sowing areas. This change was mainly driven by the nationwide reduction in N-fertilizer applied per area, partially due to the prevalence of nationwide technological adoptions. This reduction has almost offset the N2 O emissions induced by policy-driven expansion of sowing areas, particularly in the Northeast Plain and the lower Yangtze River Basin. Our results underline the importance of high-resolution activity data and adoption of nonlinear model of N2 O emission for capturing cropland-N2 O emission changes. Improving the representation of policy interventions is also recommended for future projections.
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Affiliation(s)
- Ziyin Shang
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Feng Zhou
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Eri Saikawa
- Department of Environmental Sciences, Emory University, Atlanta, GA, USA
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Jinfeng Chang
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Stephen J Del Grosso
- Soil Management and Sugar Beet Research, USDA Agricultural Research Service, Fort Collins, CO, USA
| | - Akihiko Ito
- Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
| | - Minpeng Chen
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, P.R. China
| | - Qihui Wang
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Yan Bo
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Xiaoqing Cui
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Simona Castaldi
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy
| | - Radoslaw Juszczak
- Department of Meteorology, Poznan University of Life Sciences, Poznan, Poland
| | - Åsa Kasimir
- Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Vincenzo Magliulo
- 13I SAFOM-CNR, Institute for Mediterranean Agricultural and Forest Systems, National Research Council, Ercolano, Italy
| | - Sergiy Medinets
- Regional Centre for Integrated Environmental Monitoring and Ecological Researches, Odessa National I. I. Mechnikov University (ONU), Odessa, Ukraine
| | - Volodymyr Medinets
- Regional Centre for Integrated Environmental Monitoring and Ecological Researches, Odessa National I. I. Mechnikov University (ONU), Odessa, Ukraine
| | | | - Georg Wohlfahrt
- Institute of Ecology, University of Innsbruck, Innsbruck, Austria
| | - Simone Sabbatini
- Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy
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Chen M, Parton WJ, Hartman MD, Del Grosso SJ, Smith WK, Knapp AK, Lutz S, Derner JD, Tucker CJ, Ojima DS, Volesky JD, Stephenson MB, Schacht WH, Gao W. Assessing precipitation, evapotranspiration, and
NDVI
as controls of U.S. Great Plains plant production. Ecosphere 2019. [DOI: 10.1002/ecs2.2889] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Maosi Chen
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
| | - William J. Parton
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
| | - Melannie D. Hartman
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
| | - Stephen J. Del Grosso
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
- Agricultural Research Service U.S. Department of Agriculture Fort Collins Colorado 80526 USA
| | - William K. Smith
- School of Natural Resources and the Environment University of Arizona Tucson Arizona 85721 USA
| | - Alan K. Knapp
- Department of Biology and Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado 80523 USA
| | - Susan Lutz
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
| | - Justin D. Derner
- Agricultural Research Service U.S. Department of Agriculture Cheyenne Wyoming 82009 USA
| | - Compton J. Tucker
- Earth Resources Branch NASA/Goddard Space Flight Center Greenbelt Maryland 20771 USA
| | - Dennis S. Ojima
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
| | - Jerry D. Volesky
- Department of Agronomy and Horticulture University of Nebraska‐Lincoln North Platte Nebraska 69101 USA
| | - Mitchell B. Stephenson
- Department of Agronomy and Horticulture University of Nebraska‐Lincoln Scottsbluff Nebraska 69361 USA
| | - Walter H. Schacht
- Department of Agronomy and Horticulture University of Nebraska‐Lincoln Lincoln Nebraska 68583 USA
| | - Wei Gao
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
- Department of Ecosystem Science and Sustainability Colorado State University Fort Collins Colorado 80523 USA
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Bronson KF, Hunsaker DJ, Williams CF, Thorp KR, Rockholt SM, Del Grosso SJ, Venterea RT, Barnes EM. Nitrogen Management Affects Nitrous Oxide Emissions under Varying Cotton Irrigation Systems in the Desert Southwest, USA. J Environ Qual 2018; 47:1572. [PMID: 30512063 DOI: 10.2134/jeq2017.10.0389er] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
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Nichols KL, Del Grosso SJ, Derner JD, Follett RF, Archibeque SL, Delgado JA, Paustian KH. Nitrous Oxide and Ammonia Emissions from Cattle Excreta on Shortgrass Steppe. J Environ Qual 2018; 47:419-426. [PMID: 29864185 DOI: 10.2134/jeq2017.12.0463] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Grazing cattle redistribute nitrogen (N) consumed in forage through urine and feces patches. The high concentration of N in these patches often exceeds the uptake demands of the local plant community, thereby providing ideal conditions for losses of reactive N. However, knowledge on nitrous oxide (NO) and ammonia (NH) emissions from excretal patches on shortgrass steppe grassland is limited. We studied the effect of cattle urine (1002 kg N ha) and feces (1021 kg N ha) patches on NO and NH emissions in two sites with contrasting vegetation: (i) cool-season (C3) 'Bozoisky-Select' Russian wildrye [ (Fisch.) Nevski], pasture (C3Past) and (ii) C4-dominated native shortgrass steppe rangeland (C4SS). Nitrous oxide and NH were measured using semi-static and semi-open chambers, respectively. Cumulative NO emissions were 217 and 173% greater and cumulative volatile NH emissions were 339 and 157% greater on C3Past compared with C4SS from the urine and feces treatments, respectively. Nitrous oxide emission factors were 0.20 and 0.05% for urine and 0.07 and 0.03% for feces on C3Past and C4SS, respectively. Our findings suggest that using the IPCC Tier 1 default emission factor (2%, 95% CI = 0.7-6%) to estimate NO emissions from cattle excretal patches on shortgrass steppe grassland would result in a significant overestimation for these dryland systems. Ammonia emission factors were 35 and 10% for urine and 7 and 5% for feces on C3Past and C4SS, respectively. With the exception of the urine treatment on C3Past, observed NH emissions were consistent with the IPCC Tier 1 default assumption that 20% (95% CI = 5-50%) of excretal N is volatilized as NH+NO.
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Bronson KF, Hunsaker DJ, Williams CF, Thorp KR, Rockholt SM, Del Grosso SJ, Venterea RT, Barnes EM. Nitrogen Management Affects Nitrous Oxide Emissions under Varying Cotton Irrigation Systems in the Desert Southwest, USA. J Environ Qual 2018; 47:70-78. [PMID: 29415107 DOI: 10.2134/jeq2017.10.0389] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Irrigation of food and fiber crops worldwide continues to increase. Nitrogen (N) from fertilizers is a major source of the potent greenhouse gas nitrous oxide (NO) in irrigated cropping systems. Nitrous oxide emissions data are scarce for crops in the arid western United States. The objective of these studies was to assess the effect of N fertilizer management on NO emissions from furrow-irrigated, overhead sprinkler-irrigated, and subsurface drip-irrigated cotton ( L.) in Maricopa, AZ, on Trix and Casa Grande sandy clay loam soils. Soil test- and canopy-reflectance-based N fertilizer management were compared. In the furrow- and overhead sprinkler-irrigated fields, we also tested the enhanced efficiency N fertilizer additive Agrotain Plus as a NO mitigation tool. Nitrogen fertilizer rates as liquid urea ammonium nitrate ranged from 0 to 233 kg N ha. Two applications of N fertilizer were made with furrow irrigation, three applications under overhead sprinkler irrigation, and 24 fertigations with subsurface drip irrigation. Emissions were measured weekly from May through August with 1-L vented chambers. NO emissions were not agronomically significant, but increased as much as 16-fold following N fertilizer addition compared to zero-N controls. Emission factors ranged from 0.10 to 0.54% of added N fertilizer emitted as NO-N with furrow irrigation, 0.15 to 1.1% with overhead sprinkler irrigation, and <0.1% with subsurface drip irrigation. The reduction of NO emissions due to addition of Agrotain Plus to urea ammonium nitrate was inconsistent. This study provides unique data on NO emissions in arid-land irrigated cotton and illustrates the advantage of subsurface drip irrigation as a low NO source system.
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Chen M, Parton WJ, Del Grosso SJ, Hartman MD, Day KA, Tucker CJ, Derner JD, Knapp AK, Smith WK, Ojima DS, Gao W. The signature of sea surface temperature anomalies on the dynamics of semiarid grassland productivity. Ecosphere 2017. [DOI: 10.1002/ecs2.2069] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Maosi Chen
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
| | - William J. Parton
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
| | - Stephen J. Del Grosso
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
- Agricultural Research Service U.S. Department of Agriculture Fort Collins Colorado 80526 USA
| | - Melannie D. Hartman
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
| | - Ken A. Day
- Climate Variability Unit Science Division Department of Science, Information Technology and Innovation Brisbane Queensland 4001 Australia
| | - Compton J. Tucker
- Earth Resources Branch NASA/Goddard Space Flight Center Greenbelt Maryland 20771 USA
| | - Justin D. Derner
- United States Department of Agriculture Agricultural Research Service (USDA‐ARS) Rangeland Resources and Systems Research Unit Cheyenne Wyoming 82009 USA
| | - Alan K. Knapp
- Department of Biology and Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado 80523‐1878 USA
| | - William K. Smith
- School of Natural Resources and the Environment University of Arizona Tucson Arizona 85721 USA
| | - Dennis S. Ojima
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
| | - Wei Gao
- United States Department of Agriculture UV‐B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80521 USA
- Natural Resource Ecology Laboratory Colorado State University Fort Collins Colorado 80523 USA
- Department of Ecosystem Science and Sustainability Colorado State University Fort Collins Colorado 80523 USA
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11
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Wang Y, Dou F, Storlien JO, Wight JP, Paustian KH, Del Grosso SJ, Hons FM. Simulating Impacts of Bioenergy Sorghum Residue Return on Soil Organic Carbon and Greenhouse Gas Emissions Using the DAYCENT Model. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/978-3-319-43394-3_15] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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12
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Toonsiri P, Del Grosso SJ, Sukor A, Davis JG. Greenhouse Gas Emissions from Solid and Liquid Organic Fertilizers Applied to Lettuce. J Environ Qual 2016; 45:1812-1821. [PMID: 27898794 DOI: 10.2134/jeq2015.12.0623] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Accepted: 07/20/2016] [Indexed: 06/06/2023]
Abstract
Improper application of nitrogen (N) fertilizer and environmental factors can cause the loss of nitrous oxide (NO) to the environment. Different types of fertilizers with different C/N ratios may have different effects on the environment. The focus of this study was to evaluate the effects of environmental factors and four organic fertilizers (feather meal, blood meal, fish emulsion, and cyano-fertilizer) applied at different rates (0, 28, 56, and 112 kg N ha) on NO emissions and to track CO emissions from a lettuce field ( L.). The study was conducted in 2013 and 2014 and compared preplant-applied solid fertilizers (feather meal and blood meal) and multiple applications of liquid fertilizers (fish emulsion and cyano-fertilizer). Three days a week, NO and CO emissions were measured twice per day in 2013 and once per day in 2014 using a closed-static chamber, and gas samples were analyzed by gas chromatography. Preplant-applied solid fertilizers significantly increased cumulative NO emissions as compared with control, but multiple applications of liquid fertilizers did not. Emission factors for NO ranged from 0 to 0.1% for multiple applications of liquid fertilizers and 0.6 to 11% for preplant-applied solid fertilizers, which could be overestimated due to chamber placement over fertilizer bands. In 2014, solid fertilizers with higher C/N ratios (3.3-3.5) resulted in higher CO emissions than liquid fertilizers (C/N ratio, 0.9-1.5). Therefore, organic farmers should consider the use of multiple applications of liquid fertilizers as a means to reduce soil greenhouse gas emissions while maintaining high yields.
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Halvorson AD, Del Grosso SJ, Stewart CE. Manure and Inorganic Nitrogen Affect Trace Gas Emissions under Semi-Arid Irrigated Corn. J Environ Qual 2016; 45:906-14. [PMID: 27136157 DOI: 10.2134/jeq2015.08.0426] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Dairy manure is often applied to cropped soils as a substitute for inorganic N fertilizers, but the impacts of manure on soil trace gas fluxes, yields, and soil N are uncertain in the semiarid western United States. Soil carbon dioxide (CO-C), methane (CH-C), nitrous oxide (NO-N), and ammonia (NH-N) emissions were monitored using surface chambers from five N treatments: (i) partially composted solid dairy manure (DM) (412 kg N ha), (ii) DM + AgrotainPlus (DM+AP), (iii) enhanced efficiency N fertilizer (SuperU [SU]) (179 kg N ha), (iv) urea (179 kg N ha), and (v) check (no N applied), to determine their effect on growing season (GS) and nongrowing season emissions from a tilled clay loam soil under irrigated, continuous corn production for 3 yr. SuperU and AgrotainPlus contain urease and nitrification inhibitors. Averaged over years, GS soil CO-C emissions were greater for DM and DM+AP than for urea, SU, and check treatments due to the large amount of C added with the manure; CH-C emissions did not vary among N treatments; and NO-N emissions decreased in the order urea = DM = DM+AP > SU > check. AgrotainPlus added to the DM did not reduce NO-N emissions compared with DM. Cumulative NH-N emissions after manure application decreased in the order urea > SU > check, with no significant differences between SU, DM, and DM+AP. Dairy manure provided slow-release N with nitrate intensities lower than urea and NO-N emissions similar to urea. These results highlight the importance of best-management practices such as immediate irrigation after N application and use of urease and nitrification inhibitors to minimize N losses.
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Adler PR, Mitchell JG, Pourhashem G, Spatari S, Del Grosso SJ, Parton WJ. Integrating biorefinery and farm biogeochemical cycles offsets fossil energy and mitigates soil carbon losses. Ecol Appl 2015; 25:1142-1156. [PMID: 26465048 DOI: 10.1890/13-1694.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Crop residues are potentially significant sources of feedstock for biofuel production in the United States. However, there are concerns with maintaining the environmental functions of these residues while also serving as a feedstock for biofuel production. Maintaining soil organic carbon (SOC) along with its functional benefits is considered a greater constraint than maintaining soil erosion losses to an acceptable level. We used the biogeochemical model DayCent to evaluate the effect of residue removal, corn stover, and wheat and barley straw in three diverse locations in the USA. We evaluated residue removal with and without N replacement, along with application of a high-lignin fermentation byproduct (HLFB), the residue by-product comprised of lignin and small quantities of nutrients from cellulosic ethanol production. SOC always decreased with residue harvest, but the decrease was greater in colder climates when expressed on a life cycle basis. The effect of residue harvest on soil N2O emissions varied with N addition and climate. With N addition, N2O emissions always increased, but the increase was greater in colder climates. Without N addition, N2O emissions increased in Iowa, but decreased in Maryland and North Carolina with crop residue harvest. Although SOC was lower with residue harvest when HLFB was used for power production instead of being applied to land, the avoidance of fossil fuel emissions to the atmosphere by utilizing the cellulose and hemicellulose fractions of crop residue to produce ethanol (offsets) reduced the overall greenhouse gas (GHG) emissions because most of this residue carbon would normally be lost during microbial respiration. Losses of SOC and reduced N mineralization could both be mitigated with the application of HLFB to the land. Therefore, by returning the high-lignin fraction of crop residue to the land after production of ethanol at the biorefinery, soil carbon levels could be maintained along with the functional benefit of increased mineralized N, and more GHG emissions could be offset compared to leaving the crop residues on the land.
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Scheer C, Del Grosso SJ, Parton WJ, Rowlings DW, Grace PR. Modeling nitrous oxide emissions from irrigated agriculture: testing DayCent with high-frequency measurements. Ecol Appl 2014; 24:528-538. [PMID: 24834738 DOI: 10.1890/13-0570.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
A unique high temporal frequency data set from an irrigated cotton-wheat rotation was used to test the agroecosystem model DayCent to simulate daily N20 emissions from subtropical vertisols under different irrigation intensities. DayCent was able to simulate the effect of different irrigation intensities on N20 fluxes and yield, although it tended to overestimate seasonal fluxes during the cotton season. DayCent accurately predicted soil moisture dynamics and the timing and magnitude of high fluxes associated with fertilizer additions and irrigation events. At the daily scale we found a good correlation of predicted vs. measured N20 fluxes (r2 = 0.52), confirming that DayCent can be used to test agricultural practices for mitigating N20 emission from irrigated cropping systems. A 25-year scenario analysis indicated that N20 losses from irrigated cotton-wheat rotations on black vertisols in Australia can be substantially reduced by an optimized fertilizer and irrigation management system (i.e., frequent irrigation, avoidance of excessive fertilizer application), while sustaining maximum yield potentials.
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Cleveland CC, Houlton BZ, Smith WK, Marklein AR, Reed SC, Parton W, Del Grosso SJ, Running SW. Patterns of new versus recycled primary production in the terrestrial biosphere. Proc Natl Acad Sci U S A 2013; 110:12733-7. [PMID: 23861492 PMCID: PMC3732943 DOI: 10.1073/pnas.1302768110] [Citation(s) in RCA: 109] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Nitrogen (N) and phosphorus (P) availability regulate plant productivity throughout the terrestrial biosphere, influencing the patterns and magnitude of net primary production (NPP) by land plants both now and into the future. These nutrients enter ecosystems via geologic and atmospheric pathways and are recycled to varying degrees through the plant-soil-microbe system via organic matter decay processes. However, the proportion of global NPP that can be attributed to new nutrient inputs versus recycled nutrients is unresolved, as are the large-scale patterns of variation across terrestrial ecosystems. Here, we combined satellite imagery, biogeochemical modeling, and empirical observations to identify previously unrecognized patterns of new versus recycled nutrient (N and P) productivity on land. Our analysis points to tropical forests as a hotspot of new NPP fueled by new N (accounting for 45% of total new NPP globally), much higher than previous estimates from temperate and high-latitude regions. The large fraction of tropical forest NPP resulting from new N is driven by the high capacity for N fixation, although this varies considerably within this diverse biome; N deposition explains a much smaller proportion of new NPP. By contrast, the contribution of new N to primary productivity is lower outside the tropics, and worldwide, new P inputs are uniformly low relative to plant demands. These results imply that new N inputs have the greatest capacity to fuel additional NPP by terrestrial plants, whereas low P availability may ultimately constrain NPP across much of the terrestrial biosphere.
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Affiliation(s)
- Cory C Cleveland
- Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, MT 59812, USA.
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Halvorson AD, Del Grosso SJ. Nitrogen placement and source effects on nitrous oxide emissions and yields of irrigated corn. J Environ Qual 2013; 42:312-322. [PMID: 23673823 DOI: 10.2134/jeq2012.0315] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Limited information is available on how N fertilizer placement affects soil nitrous oxide (NO) emissions under irrigated conditions in the semiarid western United States. Our objective was to compare surface banding near corn row and broadcasting of three N sources (urea, polymer-coated urea [PCU], and stabilized urea [SU] containing urease and nitrification inhibitors) on NO emissions from a clay loam soil under sprinkler-irrigated continuous corn production. The N fertilizers were applied at a rate of 202 kg N ha to strip-till (2010 and 2011) and no-till (2011) corn at crop emergence, with ∼19 mm irrigation water applied the next day. Band-applied N had a 1.46-fold greater NO emission than broadcast N averaged over N sources and three studies. Soil NO-N emissions from urea were 1.48- and 1.74-fold greater than from PCU and SU, respectively, when averaged over N placement and studies. The N placement × source interaction was not significant. Averaged across studies, grain yield and N uptake did not vary with N placement, whereas grain yields were greater for SU than PCU but were not different from urea. Nitrous oxide emissions per unit of N applied, per unit of grain yield, and per unit N uptake were 59, 49, and 47% greater, respectively, with banded than with broadcast N fertilizer. These studies show that N placement and N source selection are important manageable factors that can affect NO emissions and need to be considered when developing NO mitigation practices in irrigated cropping systems in the semiarid western United States.
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Abstract
A nitrogen (N) source comparison study was conducted to further evaluate the effects of inorganic N source and placement on growing-season and non-crop period soil nitrous oxide (NO). Commercially available controlled-release N fertilizers were evaluated for their potential to reduce NO emissions from a clay loam soil compared with conventionally used granular urea and urea-ammonium nitrate (UAN) fertilizers in an irrigated no-till (NT) corn ( L.) production system. Controlled-release N fertilizers evaluated were: a polymer-coated urea (ESN), stabilized urea (SuperU), and UAN+AgrotainPlus (SuperU and AgrotainPlus contain nitrification and urease inhibitors). Each N source was surface band applied (202 kg N ha) near the corn row at emergence and watered into the soil the next day. Subsurface banded ESN (ESNssb) and check (no N applied) treatments were included. Nitrous oxide fluxes were measured during two growing seasons and after harvest using static, vented chambers. All N sources had significantly lower growing-season NO emissions than granular urea (0.7% of applied N), with UAN+AgrotainPlus (0.2% of applied N) and ESN (0.3% of applied N) having lower emissions than UAN (0.4% of applied N). Similar trends were observed when expressing NO emissions on a grain yield and N uptake basis. Corn grain yields were not different among N sources but were greater than the check. Selection of N fertilizer source can be a mitigation practice for reducing NO emissions in NT, irrigated corn in semiarid areas. In our study, UAN+AgrotainPlus consistently had the lowest level of NO emissions with no yield loss.
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Abstract
Nitrogen (N) application to crops generally results in increased nitrous oxide (NO) emissions. Commercially available, enhanced-efficiency N fertilizers were evaluated for their potential to reduce NO emissions from a clay loam soil compared with conventionally used granular urea and urea-ammonium nitrate (UAN) fertilizers in an irrigated strip-till (ST) corn ( L.) production system. Enhanced-efficiency N fertilizers evaluated were a controlled-release, polymer-coated urea (ESN), stabilized urea, and UAN products containing nitrification and urease inhibitors (SuperU and UAN+AgrotainPlus), and UAN containing a slow-release N source (Nfusion). Each N source was surface-band applied (202 kg N ha) at corn emergence and watered into the soil the next day. A subsurface-band ESN treatment was included. Nitrous oxide fluxes were measured during two growing seasons using static, vented chambers and a gas chromatograph analyzer. All N sources had significantly lower growing season NO emissions than granular urea, with UAN+AgrotainPlus and UAN+Nfusion having lower emissions than UAN. Similar trends were observed when expressing NO emissions on a grain yield and N uptake basis. Loss of NO-N per kilogram of N applied was <0.8% for all N sources. Corn grain yields were not different among N sources but greater than treatments with no N applied. Selection of N fertilizer source can be a mitigation practice for reducing NO emissions in strip-till, irrigated corn in semiarid areas.
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Robertson GP, Hamilton SK, Del Grosso SJ, Parton WJ. The biogeochemistry of bioenergy landscapes: carbon, nitrogen, and water considerations. Ecol Appl 2011; 21:1055-67. [PMID: 21774413 DOI: 10.1890/09-0456.1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
The biogeochemical liabilities of grain-based crop production for bioenergy are no different from those of grain-based food production: excessive nitrate leakage, soil carbon and phosphorus loss, nitrous oxide production, and attenuated methane uptake. Contingent problems are well known, increasingly well documented, and recalcitrant: freshwater and coastal marine eutrophication, groundwater pollution, soil organic matter loss, and a warming atmosphere. The conversion of marginal lands not now farmed to annual grain production, including the repatriation of Conservation Reserve Program (CRP) and other conservation set-aside lands, will further exacerbate the biogeochemical imbalance of these landscapes, as could pressure to further simplify crop rotations. The expected emergence of biorefinery and combustion facilities that accept cellulosic materials offers an alternative outcome: agricultural landscapes that accumulate soil carbon, that conserve nitrogen and phosphorus, and that emit relatively small amounts of nitrous oxide to the atmosphere. Fields in these landscapes are planted to perennial crops that require less fertilizer, that retain sediments and nutrients that could otherwise be transported to groundwater and streams, and that accumulate carbon in both soil organic matter and roots. If mixed-species assemblages, they additionally provide biodiversity services. Biogeochemical responses of these systems fall chiefly into two areas: carbon neutrality and water and nutrient conservation. Fluxes must be measured and understood in proposed cropping systems sufficient to inform models that will predict biogeochemical behavior at field, landscape, and regional scales. Because tradeoffs are inherent to these systems, a systems approach is imperative, and because potential biofuel cropping systems and their environmental contexts are complex and cannot be exhaustively tested, modeling will be instructive. Modeling alternative biofuel cropping systems converted from different starting points, for example, suggests that converting CRP to corn ethanol production under conventional tillage results in substantially increased net greenhouse gas (GHG) emissions that can be only partly mitigated with no-till management. Alternatively, conversion of existing cropland or prairie to switchgrass production results in a net GHG sink. Outcomes and policy must be informed by science that adequately quantifies the true biogeochemical costs and advantages of alternative systems.
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Affiliation(s)
- G Philip Robertson
- W. K. Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan 49060, USA.
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Abstract
Nitrogen fertilization is essential for optimizing crop yields; however, it may potentially increase nitrous oxide (N2O) emissions. The study objective was to assess the ability of commercially available enhanced-efficiency N fertilizers to reduce N2O emissions following their application in comparison with conventional dry granular urea and liquid urea-ammonium nitrate (UAN) fertilizers in an irrigated no-till (NT) corn (Zea mays L.) production system. Four enhanced-efficiency fertilizers were evaluated: two polymer-coated urea products (ESN and Duration III) and two fertilizers containing nitrification and urease inhibitors (SuperU and UAN+AgrotainPlus). Nitrous oxide fluxes were measured during two growing seasons using static, vented chambers and a gas chromatograph analyzer. Enhanced-efficiency fertilizers significantly reduced growing-season N2O-N emissions in comparison with urea, including UAN. SuperU and UAN+AgrotainPlus had significantly lower N2O-N emissions than UAN. Compared with urea, SuperU reduced N2O-N emissions 48%, ESN 34%, Duration III 31%, UAN 27%, and UAN+AgrotainPlus 53% averaged over 2 yr. Compared with UAN, UAN+AgrotainPlus reduced N2O emissions 35% and SuperU 29% averaged over 2 yr. The N2O-N loss as a percentage of N applied was 0.3% for urea, with all other N sources having significantly lower losses. Grain production was not reduced by the use of alternative N sources. This work shows that enhanced-efficiency N fertilizers can potentially reduce N2O-N emissions without affecting yields from irrigated NT corn systems in the semiarid central Great Plains.
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Affiliation(s)
- Ardell D Halvorson
- USDA-ARS, 2150 Centre Ave., Bldg. D, Ste. 100, Fort Collins, CO 80526, USA.
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Alluvione F, Halvorson AD, Del Grosso SJ. Nitrogen, tillage, and crop rotation effects on carbon dioxide and methane fluxes from irrigated cropping systems. J Environ Qual 2009; 38:2023-2033. [PMID: 19704145 DOI: 10.2134/jeq2008.0517] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Long-term effects of tillage intensity, N fertilization, and crop rotation on carbon dioxide (CO(2)) and methane (CH(4)) flux from semiarid irrigated soils are poorly understood. We evaluated effects of: (i) tillage intensity [no-till (NT) and conventional moldboard plow tillage (CT)] in a continuous corn rotation; (ii) N fertilization levels [0-246 kg N ha(-1) for corn (Zea mays L.); 0 and 56 kg N ha(-1) for dry bean (Phaseolus vulgaris L.); 0 and 112 kg N ha(-1) for barley (Hordeum distichon L.)]; and (iii) crop rotation under NT soil management [corn-barley (NT-CB); continuous corn (NT-CC); corn-dry bean (NT-CDb)] on CO(2) and CH(4) flux from a clay loam soil. Carbon dioxide and CH(4) fluxes were monitored one to three times per week using vented nonsteady state closed chambers. No-till reduced (14%) growing season (154 d) cumulative CO(2) emissions relative to CT (NT: 2.08 Mg CO(2)-C ha(-1); CT: 2.41 Mg CO(2)-C ha(-1)), while N fertilization had no effect. Significantly lower (18%) growing season CO(2) fluxes were found in NT-CDb than NT-CC and NT-CB (11.4, 13.2 and 13.9 kg CO(2)-C ha(-1)d(-1) respectively). Growing season CH(4) emissions were higher in NT (20.2 g CH(4) ha(-1)) than in CT (1.2 g CH(4) ha(-1)). Nitrogen fertilization and cropping rotation did not affect CH(4) flux. Implementation of NT for 7 yr with no N fertilization was not adequate for restoring the CH(4) oxidation capacity of this clay loam soil relative to CT plowed and fertilized soil.
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Affiliation(s)
- Francesco Alluvione
- Dep of Agronomy, Forest and Land Management, Univ. of Turin, via L. da Vinci 44, 10095 Grugliasco (TO), Italy
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Halvorson AD, Del Grosso SJ, Reule CA. Nitrogen, tillage, and crop rotation effects on nitrous oxide emissions from irrigated cropping systems. J Environ Qual 2008; 37:1337-1344. [PMID: 18574163 DOI: 10.2134/jeq2007.0268] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
We evaluated the effects of irrigated crop management practices on nitrous oxide (N(2)O) emissions from soil. Emissions were monitored from several irrigated cropping systems receiving N fertilizer rates ranging from 0 to 246 kg N ha(-1) during the 2005 and 2006 growing seasons. Cropping systems included conventional-till (CT) continuous corn (Zea mays L.), no-till (NT) continuous corn, NT corn-dry bean (Phaseolus vulgaris L.) (NT-CDb), and NT corn-barley (Hordeum distichon L.) (NT-CB). In 2005, half the N was subsurface band applied as urea-ammonium nitrate (UAN) at planting to all corn plots, with the rest of the N applied surface broadcast as a polymer-coated urea (PCU) in mid-June. The entire N rate was applied as UAN at barley and dry bean planting in the NT-CB and NT-CDb plots in 2005. All plots were in corn in 2006, with PCU being applied at half the N rate at corn emergence and a second N application as dry urea in mid-June followed by irrigation, both banded on the soil surface in the corn row. Nitrous oxide fluxes were measured during the growing season using static, vented chambers (1-3 times wk(-1)) and a gas chromatograph analyzer. Linear increases in N(2)O emissions were observed with increasing N-fertilizer rate, but emission amounts varied with growing season. Growing season N(2)O emissions were greater from the NT-CDb system during the corn phase of the rotation than from the other cropping systems. Crop rotation and N rate had more effect than tillage system on N(2)O emissions. Nitrous oxide emissions from N application ranged from 0.30 to 0.75% of N applied. Spikes in N(2)O emissions after N fertilizer application were greater with UAN and urea than with PCU fertilizer. The PCU showed potential for reducing N(2)O emissions from irrigated cropping systems.
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Affiliation(s)
- Ardell D Halvorson
- USDA-ARS, 2150 Centre Ave, Bldg. D, Suite 100, Fort Collins, CO 80526-8119, USA.
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Abstract
Bioenergy cropping systems could help offset greenhouse gas emissions, but quantifying that offset is complex. Bioenergy crops offset carbon dioxide emissions by converting atmospheric CO2 to organic C in crop biomass and soil, but they also emit nitrous oxide and vary in their effects on soil oxidation of methane. Growing the crops requires energy (e.g., to operate farm machinery, produce inputs such as fertilizer) and so does converting the harvested product to usable fuels (feedstock conversion efficiency). The objective of this study was to quantify all these factors to determine the net effect of several bioenergy cropping systems on greenhouse-gas (GHG) emissions. We used the DAYCENT biogeochemistry model to assess soil GHG fluxes and biomass yields for corn, soybean, alfalfa, hybrid poplar, reed canarygrass, and switchgrass as bioenergy crops in Pennsylvania, USA. DAYCENT results were combined with estimates of fossil fuels used to provide farm inputs and operate agricultural machinery and fossil-fuel offsets from biomass yields to calculate net GHG fluxes for each cropping system considered. Displaced fossil fuel was the largest GHG sink, followed by soil carbon sequestration. N20 emissions were the largest GHG source. All cropping systems considered provided net GHG sinks, even when soil C was assumed to reach a new steady state and C sequestration in soil was not counted. Hybrid poplar and switchgrass provided the largest net GHG sinks, >200 g CO2e-C x m(-2) x yr(-1) for biomass conversion to ethanol, and >400 g CO2e-C x m(-2) x yr(-1) for biomass gasification for electricity generation. Compared with the life cycle of gasoline and diesel, ethanol and biodiesel from corn rotations reduced GHG emissions by approximately 40%, reed canarygrass by approximately 85%, and switchgrass and hybrid poplar by approximately 115%.
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Affiliation(s)
- Paul R Adler
- Pasture Systems and Watershed Management Research Unit, United States Department of Agriculture-Agricultural Research Service, University Park, Pennsylvania 16802, USA.
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Boyer EW, Alexander RB, Parton WJ, Li C, Butterbach-Bahl K, Donner SD, Skaggs RW, Del Grosso SJ. Modeling denitrification in terrestrial and aquatic ecosystems at regional scales. Ecol Appl 2006; 16:2123-42. [PMID: 17205892 DOI: 10.1890/1051-0761(2006)016[2123:mditaa]2.0.co;2] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Quantifying where, when, and how much denitrification occurs on the basis of measurements alone remains particularly vexing at virtually all spatial scales. As a result, models have become essential tools for integrating current understanding of the processes that control denitrification with measurements of rate-controlling properties so that the permanent losses of N within landscapes can be quantified at watershed and regional scales. In this paper, we describe commonly used approaches for modeling denitrification and N cycling processes in terrestrial and aquatic ecosystems based on selected examples from the literature. We highlight future needs for developing complementary measurements and models of denitrification. Most of the approaches described here do not explicitly simulate microbial dynamics, but make predictions by representing the environmental conditions where denitrification is expected to occur, based on conceptualizations of the N cycle and empirical data from field and laboratory investigations of the dominant process controls. Models of denitrification in terrestrial ecosystems include generally similar rate-controlling variables, but vary in their complexity of the descriptions of natural and human-related properties of the landscape, reflecting a range of scientific and management perspectives. Models of denitrification in aquatic ecosystems range in complexity from highly detailed mechanistic simulations of the N cycle to simpler source-transport models of aggregate N removal processes estimated with empirical functions, though all estimate aquatic N removal using first-order reaction rate or mass-transfer rate expressions. Both the terrestrial and aquatic modeling approaches considered here generally indicate that denitrification is an important and highly substantial component of the N cycle over large spatial scales. However, the uncertainties of model predictions are large. Future progress will be linked to advances in field measurements, spatial databases, and model structures.
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Affiliation(s)
- Elizabeth W Boyer
- University of California, Department of Environmental Science, Policy, and Management, Berkeley 94720, USA.
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