2011
DOI: 10.1016/j.biombioe.2010.08.047
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Land use change in a biofuels hotspot: The case of Iowa, USA

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Cited by 73 publications
(36 citation statements)
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“…To date, the biofuel boom in the USA has relied almost exclusively on corn grain for ethanol production 82,83 . However, heavy reliance on corn has led to a range of environmental and conservation concerns, including increases in nitrogen and phosphorus contamination of water 84,85 , higher rates of soil erosion 86 , greater greenhouse gas emissions due to land conversion 87,88 , reductions in wildlife habitat and wildlife populations 89,90 , and declines in biological control of crop pests 91 . Various forms of perennial vegetation have been proposed as alternatives to corn grain for use as biofuel feedstocks, including trees, certain grasses and mixtures of multiple prairie species [92][93][94] .…”
Section: Identifying Trade-offs Among Agroecosystem Performance Indicmentioning
confidence: 99%
“…To date, the biofuel boom in the USA has relied almost exclusively on corn grain for ethanol production 82,83 . However, heavy reliance on corn has led to a range of environmental and conservation concerns, including increases in nitrogen and phosphorus contamination of water 84,85 , higher rates of soil erosion 86 , greater greenhouse gas emissions due to land conversion 87,88 , reductions in wildlife habitat and wildlife populations 89,90 , and declines in biological control of crop pests 91 . Various forms of perennial vegetation have been proposed as alternatives to corn grain for use as biofuel feedstocks, including trees, certain grasses and mixtures of multiple prairie species [92][93][94] .…”
Section: Identifying Trade-offs Among Agroecosystem Performance Indicmentioning
confidence: 99%
“…Iowa has attracted a lot of attention from researchers, given the importance of corn and ethanol production in the state. Secchi, Kurkalova, Gassman, and Hart (2011) produce a baseline model of crop rotations for the state based on the USDA National Agricultural Statistical Service (NASS) Cropland Data Layer (CDL) for a series of years and an understanding of optimal management practices under given corn price regimes. They predict changes in LULC, crop rotation, and tillage practice, including the environmental impact of these choices, across the state under different price scenarios.…”
mentioning
confidence: 99%
“…The parcel information file contains land parcel specific data about acreage, CSR, yield potential for switchgrass, and land cover types for the previous two years. These data were used to construct net returns for each field in the watershed for each crop rotation [6]. In addition, a parameter file characterizing farmer agents' attitudes towards biofuel crop production (as in Table 1) is a necessary input into this model.…”
Section: Input Datamentioning
confidence: 99%
“…Their results showed that an increase in corn acreage by 14.4% could result in increase in N loadings to the watershed by 5.4% and P loadings by 4.1%. Another similar study was conducted to investigate the impacts of different corn price scenarios on crop rotation patterns and environmental consequences in Iowa, USA, by integrating an economic model and the edge of field environmental impact model EPIC (Environmental Policy Integrated Climate) [6]. The authors found that sustained high corn prices might result in continuous corn in crop rotation patterns on both current cropland and CRP (Conservation Reserve Program) land.…”
Section: Introductionmentioning
confidence: 99%