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Cited by 232

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Role of Discharge Variation in Scaling of Drainage Area and Food Chain Length in Rivers

Sabo, John L., Finlay, Jacques C., Kennedy, Theodore, Post, David M.·2010·Science

Abstract

River Food Chains: Food chain length, or the number of organisms involved in any eat-or-be-eaten relationship, is a key property of aquatic habitats that regulates nutrient cycling, energy flow, and carbon exchange between aquatic ecosystems and the atmosphere. Investigating river food webs in North American watersheds, Sabo et al. (p. 965 , published online 14 October) found discharge variation governed the link between ecosystem size (watershed area) and food chain length. River-drying truncated food chain length because intermittent streams have much higher discharge variation than perennial rivers. These results could be important for the management of rivers as drought and climate change may increase the frequency of river drying and discharge variability.

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Crossref · 10.1126/science.1196005

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Metadata

Authors
Sabo, J. L., Finlay, J. C., Kennedy, T., & Post, D. M.
Venue
Science
Published
2010-11-12
Volume
330
Issue
6006
Pages
965-967
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2078082677
Cited by
232
References
2
FWCI
12.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Role of Discharge Variation in Scaling of Drainage Area and Food Chain Length in Rivers. https://app.cochat.ai/papers/10.1126/science.1196005
The paper
Sabo, J. L., Finlay, J. C., Kennedy, T., & Post, D. M. (2010). The Role of Discharge Variation in Scaling of Drainage Area and Food Chain Length in Rivers. Science. https://doi.org/10.1126/science.1196005

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.