The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Theoretical Predictions for How Temperature Affects the Dynamics of Interacting Herbivores and Plants
Abstract
Concern about climate change has spurred experimental tests of how warming affects species' abundance and performance. As this body of research grows, interpretation and extrapolation to other species and systems have been limited by a lack of theory. To address the need for theory for how warming affects species interactions, we used consumer-prey models and the metabolic theory of ecology to develop quantitative predictions for how systematic differences between the temperature dependence of heterotrophic and autotrophic population growth lead to temperature-dependent herbivory. We found that herbivore and plant abundances change with temperature in proportion to the ratio of autotrophic to heterotrophic metabolic temperature dependences. This result is consistent across five different formulations of consumer-prey models and over varying resource supply rates. Two models predict that temperature-dependent herbivory causes primary producer abundance to be independent of temperature. This finding contradicts simpler extensions of metabolic theory to abundance that ignore trophic interactions, and is consistent with patterns in terrestrial ecosystems. When applied to experimental data, the model explained 77% and 66% of the variation in phytoplankton and zooplankton abundances, respectively. We suggest that metabolic theory provides a foundation for understanding the effects of temperature change on multitrophic ecological communities.
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Cites
Effects of Size and Temperature on Metabolic Rate
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., & Charnov, E. L. (2001) · Science · doi:10.1126/science.1061967 · Cited by 3,810
CHEUNG, W. W. L., LAM, V. W. Y., SARMIENTO, J. L., KEARNEY, K., WATSON, R., ZELLER, D., & PAULY, D. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01995.x · Cited by 1,226
O'Connor, M. I., Bruno, J. F., Gaines, S. D., Halpern, B. S., Lester, S. E., Kinlan, B. P., & Weiss, J. M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603422104 · Cited by 924
Self-citationClimatic Warming and the Decline of Zooplankton in the California Current
Roemmich, D., & McGowan, J. (1995) · Science · doi:10.1126/science.267.5202.1324 · Cited by 798
Linking the global carbon cycle to individual metabolism
ALLEN, A. P., GILLOOLY, J. F., & BROWN, J. H. (2005) · Functional Ecology · doi:10.1111/j.1365-2435.2005.00952.x · Cited by 579
Magnitude and patterns of herbivory in aquatic and terrestrial ecosystems
Cyr, H., & Pace, M. L. (1993) · Nature · doi:10.1038/361148a0 · Cited by 528
Cited by
Schulte, P. M. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.118851 · Cited by 872
A bioenergetic framework for the temperature dependence of trophic interactions
Gilbert, B., Tunney, T. D., McCann, K. S., DeLong, J. P., Vasseur, D. A., Savage, V., Shurin, J. B., Dell, A. I., Barton, B. T., Harley, C. D. G., et al. (2014) · Ecology Letters · doi:10.1111/ele.12307 · Cited by 334
Self-citationProcess‐based models are required to manage ecological systems in a changing world
Cuddington, K., Fortin, M.-J., Gerber, L. R., Hastings, A., Liebhold, A., O'Connor, M., & Ray, C. (2013) · Ecosphere · doi:10.1890/es12-00178.1 · Cited by 292
Self-citationEdwards, K. F., Thomas, M. K., Klausmeier, C. A., & Litchman, E. (2016) · Limnology and Oceanography · doi:10.1002/lno.10282 · Cited by 284
Metadata
- Authors
- O’Connor, M. I., Gilbert, B., & Brown, C. J.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 2011-11
- Volume
- 178
- Issue
- 5
- Pages
- 626-638
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W2150974051
- Cited by
- 205
- References
- 6
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.