Redefining marginal land for bioenergy crop production

Khanna, Madhu; Chen, Luoye; Basso, Bruno; Cai, Ximing; Field, John; Guan, Kaiyu; Jiang, Chongya; Lark, Tyler J.; Richard, Tom L.; Spawn‐Lee, Seth A.; Yang, Pan; Zipp, Katherine Y.

doi:10.1111/gcbb.12877

Cited by 72 publications

(49 citation statements)

References 155 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Because of the high transportation cost, the feedstock market (especially the cellulosic feedstock market) is expected to be regional rather than national. In addition, given the impact of various bioenergy policies (e.g., the Biomass Crop Assistance Program) and land availabilities for cellulosic energy crops, ,, a nationwide consistent cellulosic biomass price is unlikely. To investigate the impact of feedstock price on refinery water use impact, the incorporation of an economic model such as the Biofuel and Environmental Policy Analysis Model (BEPAM) is suggested.…”

Section: Discussionmentioning

confidence: 99%

Water Availability for Biorefineries in the Contiguous United States and the Implications for Bioenergy Production Distribution

Yang

Piao

Cai

2022

Environ. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

Renewable biofuel production depends on many factors, including feedstock availability, refinery and shipment infrastructure, and in particular, water availability. This study assesses water requirement and availability for mainstream biorefinery technologies in the contiguous United States (CONUS). The assessment is conducted in newly defined spatial units, namely, biorefinery planning boundaries, considering feedstock availability, transportation cost, and refinery capacity requirement for cost-effectiveness. The results suggest that the total biorefinery water use in the CONUS by 2030 will be low compared to the total water availability. However, biorefinery water requirements can aggravate the water stress situation in many regions, including the Great Plains, California Central Valley, and the upper Columbia-Snake River basin in Washington. Bioenergy productions in these regions can be largely constrained by water. It is projected that biofuel production will concentrate in Northern Plains, Lake States, and Corn Belt regions, which contribute 94.4% of the conventional, 86.1% of biodiesel, and 54.8% of cellulosic biofuel production mandated by the renewable fuel standard. If biorefineries are constrained to use less than 10% of the locally available water, up to 7% of planned cellulosic biofuel production will be affected. Findings from this study can aid the sustainable planning of national bioenergy production.

show abstract

Section: Discussionmentioning

confidence: 99%

Water Availability for Biorefineries in the Contiguous United States and the Implications for Bioenergy Production Distribution

Yang

Piao

Cai

2022

Environ. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Data on land cover have been used to identify abandoned agricultural lands with potential to support bioenergy feedstock production (Zumkehr and Campbell, 2013;Baxter and Calvert, 2017;Goga et al, 2019;Naess et al, 2021) and to screen for land that may be deemed as marginal for food production (Nalepa and Bauer, 2012;Kang et al, 2013;Khanna et al, 2021) due to economic instability (Jiang et al, 2021), environmental sensitivity (Wang et al, 2020), and biophysical limitations in climate, soils, or topography (Gelfand et al, 2013;Gu and Wylie, 2016). For example, satellite-based productivity thresholds on low-yielding lands have been used to identify marginal areas for second generation bioenergy production (Longato et al, 2019).…”

Section: Bioenergy Resources and Productionmentioning

confidence: 99%

Satellite Data Applications for Sustainable Energy Transitions

Edwards¹,

Holloway²,

Pierce³

et al. 2022

Front. Sustain.

View full text Add to dashboard Cite

Transitioning to a sustainable energy system poses a massive challenge to communities, nations, and the global economy in the next decade and beyond. A growing portfolio of satellite data products is available to support this transition. Satellite data complement other information sources to provide a more complete picture of the global energy system, often with continuous spatial coverage over targeted areas or even the entire Earth. We find that satellite data are already being applied to a wide range of energy issues with varying information needs, from planning and operation of renewable energy projects, to tracking changing patterns in energy access and use, to monitoring environmental impacts and verifying the effectiveness of emissions reduction efforts. While satellite data could play a larger role throughout the policy and planning lifecycle, there are technical, social, and structural barriers to their increased use. We conclude with a discussion of opportunities for satellite data applications to energy and recommendations for research to maximize the value of satellite data for sustainable energy transitions.

show abstract

“…The above results show that the scale of land management has a significantly negative impact on the CPC. Furthermore, related research suggests [36][37][38][39][40][41] that there is a "U-shaped" relationship between the unit cost of crops and the scale of land. In other words, the expansion of the scale of land management's effect of reducing crop production costs gradually weakens.…”

Section: Empirical Analysis Of Factors Affecting Corn Production Costmentioning

confidence: 99%

Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China

Ouyang

Yang

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

The corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across various regions, as well as over the entirety of the country from 2008 to 2018, is presented. It is based on the GIS exploratory spatial data analysis method (ESDA). Simultaneously, a spatial panel model is established to conduct an empirical analysis of the main factors affecting the CPC. The results from the period in question show that the CPC in China and the three major production regions present a fluctuating growth trend, mainly associated with the increase in labor prices. Moreover, the CPC exhibits significant spatial differences, and demonstrates an overall trend of gradual increase from the east to the west. Over time, the number of relatively high-cost provinces has increased. All are located in southern mountainous and hilly corn areas. In addition, the CPCs of various regions are spatially correlated. Factors such as the scale of land management, the degree of mechanization, and socioeconomic conditions have a significantly negative impact on the CPC in China. Furthermore, the labor structure has a notably positive impact on the CPC.

show abstract

Redefining marginal land for bioenergy crop production

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 72 publications

References 155 publications

Water Availability for Biorefineries in the Contiguous United States and the Implications for Bioenergy Production Distribution

Water Availability for Biorefineries in the Contiguous United States and the Implications for Bioenergy Production Distribution

Satellite Data Applications for Sustainable Energy Transitions

Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China

Contact Info

Product

Resources

About