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Cited by 488

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Community disassembly by an invasive species

Open access
Sanders, Nathan J., Gotelli, Nicholas J., Heller, Nicole E., Gordon, Deborah M.·2003·Proceedings of the National Academy of Sciences

Abstract

Invasive species pose serious threats to community structure and ecosystem function worldwide. The impacts of invasive species can be more pervasive than simple reduction of species numbers. By using 7 years of data in a biological preserve in northern California, we documented the disassembly of native ant communities during an invasion by the Argentine ant. In sites without the Argentine ant, native ant communities exhibit significant species segregation, consistent with competitive dynamics. In sites with the Argentine ant, native ant communities appear random or weakly aggregated in species co-occurrence. Comparisons of the same sites before and after invasion indicate that the shift from a structured to a random community is rapid and occurs within a year of invasion. Our results show that invasive species not only reduce biodiversity but rapidly disassemble communities and, as a result, alter community organization among the species that persist.

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Metadata

Authors
Sanders, N. J., Gotelli, N. J., Heller, N. E., & Gordon, D. M.
Venue
Proceedings of the National Academy of Sciences
Published
2003-02-25
Volume
100
Issue
5
Pages
2474-2477
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2078885386
Cited by
488
References
0
FWCI
13.49
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Community disassembly by an invasive species. https://app.cochat.ai/papers/10.1073/pnas.0437913100
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Sanders, N. J., Gotelli, N. J., Heller, N. E., & Gordon, D. M. (2003). Community disassembly by an invasive species. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0437913100

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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.