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Cited by 482

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Nitrate Losses from Disturbed Ecosystems: Interregional comparative studies show mechanisms underlying forest ecosystem response to disturbance.

Vitousek, Peter M., Gosz, James R., Grier, Charles C., Melillo, Jerry M., Reiners, William A., Todd, Robert L.·1979·Science

Abstract

A systematic examination of nitrogen cycling in disturbed forest ecosystems demonstrates that eight processes, operating at three stages in the nitrogen cycle, could delay or prevent solution losses of nitrate from disturbed forests. An experimental and comparative study of nitrate losses from trenched plots in 19 forest sites throughout the United States suggests that four of these processes (nitrogen uptake by regrowing vegetation, nitrogen immobilization, lags in nitrification, and a lack of water for nitrate transport) are the most important in practice. The net effect of all of these processes except uptake by regrowing vegetation is insufficient to prevent or delay losses from relatively fertile sites, and hence such sites have the potential for very high nitrate losses following disturbance.

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Metadata

Authors
Vitousek, P. M., Gosz, J. R., Grier, C. C., Melillo, J. M., Reiners, W. A., & Todd, R. L.
Venue
Science
Published
1979-05-04
Volume
204
Issue
4392
Pages
469-474
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2034876680
Cited by
482
References
0
FWCI
27.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nitrate Losses from Disturbed Ecosystems: Interregional comparative studies show mechanisms underlying forest ecosystem response to disturbance. https://app.cochat.ai/papers/10.1126/science.204.4392.469
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Vitousek, P. M., Gosz, J. R., Grier, C. C., Melillo, J. M., Reiners, W. A., & Todd, R. L. (1979). Nitrate Losses from Disturbed Ecosystems: Interregional comparative studies show mechanisms underlying forest ecosystem response to disturbance. Science. https://doi.org/10.1126/science.204.4392.469

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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.