Incorporating County‐Level Spatial Resolution in Maize Life Cycle Emissions Analysis in Illinois, USA.
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| Title: | Incorporating County‐Level Spatial Resolution in Maize Life Cycle Emissions Analysis in Illinois, USA. |
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| Authors: | Dohleman, Frank G.1 (AUTHOR) dohleman@gmail.com, Copenhaver, Ken2 (AUTHOR), Haefke, Clifford P.3 (AUTHOR), Mueller, Steffen3 (AUTHOR) |
| Source: | GCB Bioenergy. Jul2026, Vol. 18 Issue 7, p1-15. 15p. |
| Subject Terms: | *Biomass energy, *Agriculture, *Carbon dioxide mitigation, *Cover crops, Spatial resolution, Ethanol manufacturing, Fertilizer analysis |
| Geographic Terms: | Illinois, United States |
| Abstract: | Maize is a major biofuel feedstock, accounting for 64% of the global share of ethanol production. Recent improvements in life cycle analyses (LCAs) have accounted for temporal changes in the improved efficiency of farming practices, with reductions in the carbon intensity (CI) of maize grain production over time. There has been little progress on understanding the spatial variation of the CI of maize grain production. The average life cycle CI of US maize production at the farm gate converts to a contribution of 251 g CO2e/kg of maize produced, used in policy calculations related to biofuel production. The objective of this work was to understand the spatial variation in CI scores using Illinois, USA as a case study to conduct life cycle analysis for modeling county‐level CI score. The average CI score of maize produced in Illinois has a range of 9%–12% lower than the national average CI when averaged across the state using county‐level yield and fertilizer application data. Maize grown within 56 km of ethanol facilities in Illinois has scores 14%–17% lower than the national average, when adjusted for ethanol output. This is mainly due to the high yields in Illinois and more efficient use of fertilizer across counties delivering to ethanol plants. There was spatial variation in the impact of cover crop seeding and conservation tillage across a transect of counties. Further refinement of life cycle models will provide more accurate assessments of the carbon intensity of maize production at smaller spatial scales than national averages. [ABSTRACT FROM AUTHOR] |
| Copyright of GCB Bioenergy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 194920168 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Incorporating County‐Level Spatial Resolution in Maize Life Cycle Emissions Analysis in Illinois, USA. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dohleman%2C+Frank+G%2E%22">Dohleman, Frank G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dohleman@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Copenhaver%2C+Ken%22">Copenhaver, Ken</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Haefke%2C+Clifford+P%2E%22">Haefke, Clifford P.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mueller%2C+Steffen%22">Mueller, Steffen</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22GCB+Bioenergy%22">GCB Bioenergy</searchLink>. Jul2026, Vol. 18 Issue 7, p1-15. 15p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Biomass+energy%22">Biomass energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Agriculture%22">Agriculture</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbon+dioxide+mitigation%22">Carbon dioxide mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Cover+crops%22">Cover crops</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Ethanol+manufacturing%22">Ethanol manufacturing</searchLink><br /><searchLink fieldCode="DE" term="%22Fertilizer+analysis%22">Fertilizer analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Illinois%22">Illinois</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Maize is a major biofuel feedstock, accounting for 64% of the global share of ethanol production. Recent improvements in life cycle analyses (LCAs) have accounted for temporal changes in the improved efficiency of farming practices, with reductions in the carbon intensity (CI) of maize grain production over time. There has been little progress on understanding the spatial variation of the CI of maize grain production. The average life cycle CI of US maize production at the farm gate converts to a contribution of 251 g CO2e/kg of maize produced, used in policy calculations related to biofuel production. The objective of this work was to understand the spatial variation in CI scores using Illinois, USA as a case study to conduct life cycle analysis for modeling county‐level CI score. The average CI score of maize produced in Illinois has a range of 9%–12% lower than the national average CI when averaged across the state using county‐level yield and fertilizer application data. Maize grown within 56 km of ethanol facilities in Illinois has scores 14%–17% lower than the national average, when adjusted for ethanol output. This is mainly due to the high yields in Illinois and more efficient use of fertilizer across counties delivering to ethanol plants. There was spatial variation in the impact of cover crop seeding and conservation tillage across a transect of counties. Further refinement of life cycle models will provide more accurate assessments of the carbon intensity of maize production at smaller spatial scales than national averages. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of GCB Bioenergy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/gcbb.70142 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Biomass energy Type: general – SubjectFull: Agriculture Type: general – SubjectFull: Carbon dioxide mitigation Type: general – SubjectFull: Cover crops Type: general – SubjectFull: Spatial resolution Type: general – SubjectFull: Ethanol manufacturing Type: general – SubjectFull: Fertilizer analysis Type: general – SubjectFull: Illinois Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Incorporating County‐Level Spatial Resolution in Maize Life Cycle Emissions Analysis in Illinois, USA. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dohleman, Frank G. – PersonEntity: Name: NameFull: Copenhaver, Ken – PersonEntity: Name: NameFull: Haefke, Clifford P. – PersonEntity: Name: NameFull: Mueller, Steffen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17571693 Numbering: – Type: volume Value: 18 – Type: issue Value: 7 Titles: – TitleFull: GCB Bioenergy Type: main |
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