The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Can ecological stoichiometry help explain patterns of biological invasions?
Abstract
Several mechanisms for biological invasions have been proposed, yet to date there is no common framework that can broadly explain patterns of invasion success among ecosystems with different resource availabilities. Ecological stoichiometry (ES) is the study of the balance of energy and elements in ecological interactions. This framework uses a multi‐nutrient approach to mass‐balance models, linking the biochemical composition of organisms to their growth and reproduction, which consequently influences ecosystem structure and functioning. We proposed a conceptual model that integrates hypotheses of biological invasions within a framework structured by fundamental principles of ES. We then performed meta‐analyses to compare the growth and production performances of native and invasive organisms under low‐ and high‐nutrient conditions in terrestrial and aquatic ecosystems. Growth and production rates of invasive organisms (plants and invertebrates) under both low‐ and high‐nutrient availability were generally larger than those of natives. Nevertheless, native plants outperformed invasives in aquatic ecosystems under low‐nutrient conditions. We suggest several distinct stoichiometry‐based mechanisms to explain invasion success in low‐ versus high‐nutrient conditions; low‐nutrient conditions: higher resource‐use efficiency (RUE; C:nutrient ratios), threshold elemental ratios (TERs), and trait plasticity (e.g. ability of an organism to change its nutrient requirements in response to varying nutrient environmental supply); high‐nutrient conditions: higher growth rates and reproductive output related to lower tissue C:nutrient ratios, and increased trait plasticity. Interactions of mechanisms may also yield synergistic effects, whereby nutrient enrichment and enemy release have a disproportionate effect on invasion success. To that end, ES provides a framework that can help explain how chemical elements and energy constrain key physiological and ecological processes, which can ultimately determine the success of invasive organisms.
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Cites
Global Biodiversity Scenarios for the Year 2100
Sala, O. E., Stuart Chapin, F., III, Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L. F., Jackson, R. B., et al. (2000) · Science · doi:10.1126/science.287.5459.1770 · Cited by 9,280
Rosenberg, M. S. (2005) · Evolution · doi:10.1111/j.0014-3820.2005.tb01004.x · Cited by 1,285
Biodiversity-ecosystem function research: Is it relevant to conservation?
Srivastava, D. S., & Vellend, M. (2005) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev.ecolsys.36.102003.152636 · Cited by 712
Cited by
The C:N:P stoichiometry of organisms and ecosystems in a changing world: A review and perspectives
Sardans, J., Rivas-Ubach, A., & Peñuelas, J. (2012) · Perspectives in Plant Ecology, Evolution and Systematics · doi:10.1016/j.ppees.2011.08.002 · Cited by 685
Penuelas, J., Janssens, I. A., Ciais, P., Obersteiner, M., & Sardans, J. (2020) · Global Change Biology · doi:10.1111/gcb.14981 · Cited by 318
Native and non-native sources of carbohydrate correlate with abundance of an invasive ant
Lach, L., Hoffmann, B. D., & Moir, M. L. (2020) · NeoBiota · doi:10.3897/neobiota.63.57925 · Cited by 9
Metadata
- Authors
- González, A. L., Kominoski, J. S., Danger, M., Ishida, S., Iwai, N., & Rubach, A.
- Venue
- Oikos
- Publisher
- Wiley
- Published
- 2010-04-20
- Volume
- 119
- Issue
- 5
- Pages
- 779-790
- ISSN
- 0030-1299 (ISSN-L)
- 1600-0706
- OpenAlex
- W2116635281
- Cited by
- 180
- References
- 3
- FWCI
- 10.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- González, A. L., Kominoski, J. S., Danger, M., Ishida, S., Iwai, N., & Rubach, A. (2010). Can ecological stoichiometry help explain patterns of biological invasions? Oikos. https://doi.org/10.1111/j.1600-0706.2009.18549.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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