2019
DOI: 10.1007/s10113-019-01525-4
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The threat of energy diversification to a bioregion: a landscape-level analysis of current and future impacts on the US Chihuahuan Desert

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Cited by 15 publications
(19 citation statements)
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“…The differences likely take root in either slightly different methodology and/or regional differences in infrastructure patterns. Jordaan et al's method more heavily relied on infrastructure datasets to locate infrastructure, while McClung et al (2019) relied more on visual inspection of developments over time using satellite images. The average increases to 8.95 m 2 /MWh if the cumulative land footprint of the wells is considered over 30 years.…”
Section: Resultsmentioning
confidence: 99%
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“…The differences likely take root in either slightly different methodology and/or regional differences in infrastructure patterns. Jordaan et al's method more heavily relied on infrastructure datasets to locate infrastructure, while McClung et al (2019) relied more on visual inspection of developments over time using satellite images. The average increases to 8.95 m 2 /MWh if the cumulative land footprint of the wells is considered over 30 years.…”
Section: Resultsmentioning
confidence: 99%
“…Second, our analysis relied on prior literature published by the National Renewable Energy Laboratory (Denholm et al, 2009) due to challenges in characterizing wind turbines because of their large data populations. Similarly, our estimates for the land required for natural gas supply chain estimates were sourced from a prior study on the region (McClung et al, 2019). Focused research on developing machine learning and image processing methods would support detailed datasets characterizing land use of energy infrastructure types with larger populations, particularly those fuel types with numerous infrastructure elements that expand over large areas (e.g., wind turbines and natural gas development).…”
Section: Discussionmentioning
confidence: 99%
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