@article{bibcite_36874,
  author = {Tao Dai and Nathan C Ellebracht and Elwin Hunter-Sellars and Alvina Aui and Hannah M Goldstein and Wenqin Li and Chad M Hellwinckel and Lydia Price and Andrew A Wong and Peter Nico and Bruno Basso and G Philip Robertson and Jennifer Pett-Ridge and Matthew Langholtz and Sarah E Baker and Simon H Pang and Corinne D Scown},
  title = {Land-based resources for engineered carbon dioxide removal in the United States exceed the expected needs},
  abstract = {<p>Gigatonne-scale atmospheric <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/carbon-dioxide-removal">carbon dioxide removal</a> (CDR), alongside deep emission cuts, is critical to stabilizing the climate. However, some of the most scalable CDR technologies are also the most land intensive. Here, we examine whether adequate <a href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/land-resources">land resources</a> exist in the contiguous United States to meet CDR targets when prioritizing grid emissions reduction, <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/food-production">food production</a>, and the protection of sensitive ecosystems. We focus on biomass <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/carbon-removal">carbon removal</a> and storage (BiCRS) and direct air capture and storage (DACS) and show that suitable lands exceed the expected needs: 37.6 million hectares of land are available for BiCRS, resulting in 0.26 GtCO<sub>2</sub> of CDR/year, and 34 million hectares are suitable for wind- and solar-powered DACS, resulting in 4.8 GtCO<sub>2</sub> of CDR/year if facilities are co-located with geologic CO<sub>2</sub> storage. We identify biomass and energy supply hotspots to meet CDR targets while ensuring land protection and minimizing land competition.</p>},
  year = {2025},
  booktitle = {One Earth},
  journal = {One Earth},
  series = {One Earth},
  volume = {8},
  pages = {101349},
  month = {07/2025},
  institution = {Elsevier BV},
  publisher = {Elsevier BV},
  issn = {2590-3322},
  url = {https://doi.org/10.1016/j.oneear.2025.101349},
  doi = {10.1016/j.oneear.2025.101349},
}