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Cited by 234

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Tapping unsustainable groundwater stores for agricultural production in the High Plains Aquifer of Kansas, projections to 2110

Open access
Steward, David R., Bruss, Paul J., Yang, Xiaoying, Staggenborg, Scott A., Welch, Stephen M., Apley, Michael D.·2013·Proceedings of the National Academy of Sciences

Abstract

Significance: Society faces the multifaceted crossroads dilemma of sustainably balancing today’s livelihood with future resource needs. Currently, agriculture is tapping the High Plains Aquifer beyond natural replenishment rates to grow irrigated crops and livestock that augment global food stocks, and science-based information is needed to guide choices. We present new methods to project trends in groundwater pumping and irrigated corn and cattle production. Although production declines are inevitable, scenario analysis substantiates the impacts of increasing near-term water savings, which would extend the usable lifetime of the aquifer, increase net production, and generate a less dramatic production decline.

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Registry

Crossref · 10.1073/pnas.1220351110

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Metadata

Authors
Steward, D. R., Bruss, P. J., Yang, X., Staggenborg, S. A., Welch, S. M., & Apley, M. D.
Venue
Proceedings of the National Academy of Sciences
Published
2013-08-26
Volume
110
Issue
37
Pages
E3477-86
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2126772797
Cited by
234
References
7
FWCI
33.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tapping unsustainable groundwater stores for agricultural production in the High Plains Aquifer of Kansas, projections to 2110. https://app.cochat.ai/papers/10.1073/pnas.1220351110
The paper
Steward, D. R., Bruss, P. J., Yang, X., Staggenborg, S. A., Welch, S. M., & Apley, M. D. (2013). Tapping unsustainable groundwater stores for agricultural production in the High Plains Aquifer of Kansas, projections to 2110. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1220351110

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.