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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Interaction strength combinations and the overfishing of a marine food web

Open access
Bascompte, Jordi, Melián, Carlos J., Sala, Enric·2005·Proceedings of the National Academy of Sciences

Abstract

The stability of ecological communities largely depends on the strength of interactions between predators and their prey. Here we show that these interaction strengths are structured nonrandomly in a large Caribbean marine food web. Specifically, the cooccurrence of strong interactions on two consecutive levels of food chains occurs less frequently than expected by chance. Even when they occur, these strongly interacting chains are accompanied by strong omnivory more often than expected by chance. By using a food web model, we show that these interaction strength combinations reduce the likelihood of trophic cascades after the overfishing of top predators. However, fishing selectively removes predators that are overrepresented in strongly interacting chains. Hence, the potential for strong community-wide effects remains a threat.

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Crossref · 10.1073/pnas.0501562102

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Metadata

Authors
Bascompte, J., Melián, C. J., & Sala, E.
Venue
Proceedings of the National Academy of Sciences
Published
2005-03-31
Volume
102
Issue
15
Pages
5443-5447
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1967793983
Cited by
649
References
3
FWCI
29.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Interaction strength combinations and the overfishing of a marine food web. https://app.cochat.ai/papers/10.1073/pnas.0501562102
The paper
Bascompte, J., Melián, C. J., & Sala, E. (2005). Interaction strength combinations and the overfishing of a marine food web. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0501562102

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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.