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Cited by 425

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Phylogenetic Inference of Reciprocal Effects between Geographic Range Evolution and Diversification

Goldberg, Emma E., Lancaster, Lesley T., Ree, Richard H.·2011·Systematic Biology

Abstract

Geographic characters--traits describing the spatial distribution of a species-may both affect and be affected by processes associated with lineage birth and death. This is potentially confounding to comparative analyses of species distributions because current models do not allow reciprocal interactions between the evolution of ranges and the growth of phylogenetic trees. Here, we introduce a likelihood-based approach to estimating region-dependent rates of speciation, extinction, and range evolution from a phylogeny, using a new model in which these processes are interdependent. We demonstrate the method with simulation tests that accurately recover parameters relating to the mode of speciation and source-sink dynamics. We then apply it to the evolution of habitat occupancy in Californian plant communities, where we find higher rates of speciation in chaparral than in forests and evidence for expanding habitat tolerances.

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Crossref · 10.1093/sysbio/syr046

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Metadata

Authors
Goldberg, E. E., Lancaster, L. T., & Ree, R. H.
Venue
Systematic Biology
Published
2011-05-05
Volume
60
Issue
4
Pages
451-465
ISSN
  • 1063-5157 (ISSN-L)
  • 1076-836X
OpenAlex
W2111884880
Cited by
425
References
88
FWCI
17.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Phylogenetic Inference of Reciprocal Effects between Geographic Range Evolution and Diversification. https://app.cochat.ai/papers/10.1093/sysbio/syr046
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Goldberg, E. E., Lancaster, L. T., & Ree, R. H. (2011). Phylogenetic Inference of Reciprocal Effects between Geographic Range Evolution and Diversification. Systematic Biology. https://doi.org/10.1093/sysbio/syr046

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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.