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Journal article

Acknowledging uncertainty in evolutionary reconstructions of ecological niches

This article proposes a new framework for coding ecological niches and reconstructing their evolution that explicitly acknowledges and incorporates the uncertainty introduced by incomplete niche characterization. Temperature and precipitation tolerances were generally broad and conserved among orioles, with niche reduction and specialization limited to a few terminal branches.

Vivian Ribeiro / Published on 27 June 2020

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Citation

Owens, H. L., Ribeiro, V., Saupe, E. E., Cobos, M. E., Hosner, P. A., Cooper, J. C., Samy, A. M., Barve, V., Barve, N., Muñoz‐R., C. J. and Peterson, A. T. (2020). Acknowledging uncertainty in evolutionary reconstructions of ecological niches. Ecology and Evolution, 10(14). 6967–77. https://doi.org/10.1002/ece3.6359

Reconstructing ecological niche evolution can provide insight into the biogeography and diversification of evolving lineages. However, comparative phylogenetic methods may infer the history of ecological niche evolution inaccurately because:

  1. Species’ niches are often poorly characterized
  2. Phylogenetic comparative methods rely on niche summary statistics rather than full estimates of species’ environmental tolerances

In this article, the authors propose a new framework for coding ecological niches and reconstructing their evolution that explicitly acknowledges and incorporates the uncertainty introduced by incomplete niche characterization. Then, the researchers modify existing ancestral state inference methods to leverage full estimates of environmental tolerances. The article provides a worked empirical example of our method, investigating ecological niche evolution in the New World orioles (Aves: Passeriformes: Icterus spp.).

It was found that temperature and precipitation tolerances were generally broad and conserved among orioles, with niche reduction and specialization limited to a few terminal branches. Tools for performing these reconstructions are available in a new R package called nichevol .

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SEI author

Vivian Ribeiro
Vivian Ribeiro

Senior Data Scientist

SEI Headquarters

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Topics and subtopics
Land : Ecosystems
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