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Directional biases in phylogenetic structure quantification: a Mediterranean case study.

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Accurate phylogenetic trees are crucial for understanding community assembly. Tree resolution and branch lengths impact community phylogenetic metrics, with tree shape influencing accuracy loss. Use well-resolved phylogenies for reliable ecological research.

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Phylogenetics

Background:

  • Community assembly studies increasingly use phylogenetic hypotheses.
  • Specialized software aids in creating supertrees from published phylogenies.
  • Potential biases from partially resolved phylogenies and branch length accuracy are understudied.

Purpose of the Study:

  • To quantify biases from phylogenetic resolution and branch length accuracy in community phylogenetic metrics.
  • To explore how tree shape (stemminess) affects accuracy loss due to low phylogenetic resolution.

Main Methods:

  • Used a large plant community and elevational dataset.
  • Calculated three phylogenetic structure indices (NRI, NTI, stdPD) using 9 sets of phylogenies with varying resolution and branch lengths.
  • Assessed the influence of phylogenetic resolution, branch length, and tree shape on these metrics.

Main Results:

  • NTI was most sensitive to phylogenetic resolution, while NRI was least sensitive.
  • NRI was less sensitive to branch length accuracy than NTI and stdPD.
  • Tree shape influenced accuracy loss from low phylogenetic resolution, especially for NRI and stdPD.
  • Directional biases in metrics were generally towards type II errors.

Conclusions:

  • Well-resolved molecular phylogenies with accurate branch lengths are essential for identifying community phylogenetic structure.
  • The sensitivity of phylogenetic structure measures to low resolution varies significantly with phylogenetic tree shape.