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Cited by 331

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Realized niche shift during a global biological invasion

Open access
Tingley, Reid, Vallinoto, Marcelo, Sequeira, Fernando, Kearney, Michael R.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Species’ distributions result from dispersal and physiological constraints, interactions with other species, and ultimately, evolution. Biological invasions result from the deliberate or accidental movement of species between regions they would not reach through natural dispersal and can cause major conservation, economic, and human health issues. However, invasions also provide fascinating insights into species’ distribution limits. We investigate the invasion of the cane toad from South America to Australia by comparing the results of two modeling approaches: one considering physiological constraints and the other considering the joint influences of physiology, dispersal, and biotic interactions. Our findings demonstrate that the cane toad is limited in its native distribution by biotic interactions but, in Australia, is free to fill its climatic potential.

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Crossref · 10.1073/pnas.1405766111

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Metadata

Authors
Tingley, R., Vallinoto, M., Sequeira, F., & Kearney, M. R.
Venue
Proceedings of the National Academy of Sciences
Published
2014-06-30
Volume
111
Issue
28
Pages
10233-10238
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2146872113
Cited by
331
References
40
FWCI
16.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Realized niche shift during a global biological invasion. https://app.cochat.ai/papers/10.1073/pnas.1405766111
The paper
Tingley, R., Vallinoto, M., Sequeira, F., & Kearney, M. R. (2014). Realized niche shift during a global biological invasion. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1405766111

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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.