scholarly journals Reply to Comment on ‘Carbon intensity of corn ethanol in the United States: state of the science’

2021 ◽  
Vol 16 (11) ◽  
pp. 118002
Author(s):  
Melissa J Scully ◽  
Gregory A Norris ◽  
Tania M Alarcon Falconi ◽  
David L MacIntosh

Abstract Spawn-Lee et al published a comment on our recent paper, ‘Carbon intensity of corn ethanol in the United States: state of the science.’ Their commentary is critical of our methodology and conclusions regarding greenhouse gas (GHG) life cycle analyses (LCAs) for corn starch ethanol and gives particular attention to the estimation of emissions from land use change (LUC). Several of the concerns stated by Spawn-Lee et al were raised in prior publications and are addressed in the recently published literature, thus, we respond to those points in brief and refer readers to those papers for more information. In response to their remaining concerns, we present detailed information in support of our approach for assessing LCAs of corn starch ethanol and our findings. Our original paper and the corroborating information provided here demonstrate that our methods are robust and our results are credible. Further, we hope this response contributes to constructive discussion and research on estimation of GHG emissions and LUC linked to corn starch ethanol.

2018 ◽  
Vol 251 ◽  
pp. 249-258 ◽  
Author(s):  
Rui Chen ◽  
Zhangcai Qin ◽  
Jeongwoo Han ◽  
Michael Wang ◽  
Farzad Taheripour ◽  
...  

Author(s):  
Melissa J. Scully ◽  
Gregory A. Norris ◽  
Tania M. Alarcon Falconi ◽  
David L. MacIntosh

2011 ◽  
Vol 02 (01) ◽  
pp. 27-51 ◽  
Author(s):  
DAVID HAIM ◽  
RALPH J. ALIG ◽  
ANDREW J. PLANTINGA ◽  
BRENT SOHNGEN

An econometric land-use model is used to project regional and national land-use changes in the United States under two IPCC emissions scenarios. The key driver of land-use change in the model is county-level measures of net returns to five major land uses. The net returns are modified for the IPCC scenarios according to assumed trends in population and income and projections from integrated assessment models of agricultural prices and agricultural and forestry yields. For both scenarios, we project large increases in urban land by the middle of the century, while the largest declines are in cropland area. Significant differences among regions in the projected patterns of land-use change are evident, including an expansion of forests in the Mountain and Plains regions with declines elsewhere. Comparisons to projections with no climate change effects on prices and yields reveal relatively small differences. Thus, our findings suggest that future land-use patterns in the U.S. will be shaped largely by urbanization, with climate change having a relatively small influence.


2013 ◽  
Vol 20 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Sebastián Martinuzzi ◽  
Stephanie R. Januchowski-Hartley ◽  
Brenda M. Pracheil ◽  
Peter B. McIntyre ◽  
Andrew J. Plantinga ◽  
...  

2015 ◽  
Vol 37 (3) ◽  
pp. 273 ◽  
Author(s):  
Beverley K. Henry ◽  
D. Butler ◽  
S. G. Wiedemann

In life cycle assessment studies, greenhouse gas (GHG) emissions from direct land-use change have been estimated to make a significant contribution to the global warming potential of agricultural products. However, these estimates have a high uncertainty due to the complexity of data requirements and difficulty in attribution of land-use change. This paper presents estimates of GHG emissions from direct land-use change from native woodland to grazing land for two beef production regions in eastern Australia, which were the subject of a multi-impact life cycle assessment study for premium beef production. Spatially- and temporally consistent datasets were derived for areas of forest cover and biomass carbon stocks using published remotely sensed tree-cover data and regionally applicable allometric equations consistent with Australia’s national GHG inventory report. Standard life cycle assessment methodology was used to estimate GHG emissions and removals from direct land-use change attributed to beef production. For the northern-central New South Wales region of Australia estimates ranged from a net emission of 0.03 t CO2-e ha–1 year–1 to net removal of 0.12 t CO2-e ha–1 year–1 using low and high scenarios, respectively, for sequestration in regrowing forests. For the same period (1990–2010), the study region in southern-central Queensland was estimated to have net emissions from land-use change in the range of 0.45–0.25 t CO2-e ha–1 year–1. The difference between regions reflects continuation of higher rates of deforestation in Queensland until strict regulation in 2006 whereas native vegetation protection laws were introduced earlier in New South Wales. On the basis of liveweight produced at the farm-gate, emissions from direct land-use change for 1990–2010 were comparable in magnitude to those from other on-farm sources, which were dominated by enteric methane. However, calculation of land-use change impacts for the Queensland region for a period starting 2006, gave a range from net emissions of 0.11 t CO2-e ha–1 year–1 to net removals of 0.07 t CO2-e ha–1 year–1. This study demonstrated a method for deriving spatially- and temporally consistent datasets to improve estimates for direct land-use change impacts in life cycle assessment. It identified areas of uncertainty, including rates of sequestration in woody regrowth and impacts of land-use change on soil carbon stocks in grazed woodlands, but also showed the potential for direct land-use change to represent a net sink for GHG.


Fact Sheet ◽  
2013 ◽  
Author(s):  
William R. Gascoigne ◽  
Dana L.K. Hoag ◽  
Rex R. Johnson ◽  
Lynne M. Koontz ◽  
Catherine Cullinane Thomas

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