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Cited by 560

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Warming and Resource Availability Shift Food Web Structure and Metabolism

Open access
O'Connor, Mary I., Piehler, Michael F., Leech, Dina M., Anton, Andrea, Bruno, John F.·2009·PLoS Biology

Abstract

Climate change disrupts ecological systems in many ways. Many documented responses depend on species' life histories, contributing to the view that climate change effects are important but difficult to characterize generally. However, systematic variation in metabolic effects of temperature across trophic levels suggests that warming may lead to predictable shifts in food web structure and productivity. We experimentally tested the effects of warming on food web structure and productivity under two resource supply scenarios. Consistent with predictions based on universal metabolic responses to temperature, we found that warming strengthened consumer control of primary production when resources were augmented. Warming shifted food web structure and reduced total biomass despite increases in primary productivity in a marine food web. In contrast, at lower resource levels, food web production was constrained at all temperatures. These results demonstrate that small temperature changes could dramatically shift food web dynamics and provide a general, species-independent mechanism for ecological response to environmental temperature change.

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Crossref · 10.1371/journal.pbio.1000178

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Metadata

Authors
O'Connor, M. I., Piehler, M. F., Leech, D. M., Anton, A., & Bruno, J. F.
Venue
PLoS Biology
Published
2009-08-25
Volume
7
Issue
8
Pages
e1000178
ISSN
  • 1544-9173 (ISSN-L)
  • 1545-7885
OpenAlex
W2148636866
Cited by
560
References
33
FWCI
17.65
Type
journal article
Language
en
Open access
gold

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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.