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Cited by 2,186

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Soil erosion and agricultural sustainability

Open access
Montgomery, David R.·2007·Proceedings of the National Academy of Sciences

Abstract

Data drawn from a global compilation of studies quantitatively confirm the long-articulated contention that erosion rates from conventionally plowed agricultural fields average 1–2 orders of magnitude greater than rates of soil production, erosion under native vegetation, and long-term geological erosion. The general equivalence of the latter indicates that, considered globally, hillslope soil production and erosion evolve to balance geologic and climate forcing, whereas conventional plow-based agriculture increases erosion rates enough to prove unsustainable. In contrast to how net soil erosion rates in conventionally plowed fields (≈1 mm/yr) can erode through a typical hillslope soil profile over time scales comparable to the longevity of major civilizations, no-till agriculture produces erosion rates much closer to soil production rates and therefore could provide a foundation for sustainable agriculture.

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Crossref · 10.1073/pnas.0611508104

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Metadata

Authors
Montgomery, D. R.
Venue
Proceedings of the National Academy of Sciences
Published
2007-08-14
Volume
104
Issue
33
Pages
13268-13272
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2050900592
Cited by
2,186
References
4
FWCI
38.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Soil erosion and agricultural sustainability. https://app.cochat.ai/papers/10.1073/pnas.0611508104
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Montgomery, D. R. (2007). Soil erosion and agricultural sustainability. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0611508104

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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.