Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32057
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Branching patterns in phylogenies cannot distinguish diversity-dependent diversification from time-dependent diversification
Author(s): Pannetier, Theo
Martinez, Cesar
Bunnefeld, Lynsey
Etienne, Rampal S
Keywords: Birth‐death models
diversity dependence
macroevolution
maximum likelihood
simulations
time dependence
Issue Date: Jan-2021
Date Deposited: 4-Dec-2020
Citation: Pannetier T, Martinez C, Bunnefeld L & Etienne RS (2021) Branching patterns in phylogenies cannot distinguish diversity-dependent diversification from time-dependent diversification. Evolution, 75 (1), pp. 25-38. https://doi.org/10.1111/evo.14124
Abstract: One of the primary goals of macroevolutionary biology has been to explain general trends in long‐term diversity patterns, including whether such patterns correspond to an upscaling of processes occurring at lower scales. Reconstructed phylogenies often show decelerated lineage accumulation over time. This pattern has often been interpreted as the result of diversity‐dependent (DD) diversification, where the accumulation of species causes diversification to decrease through niche filling. However, other processes can also produce such a slowdown, including time dependence without diversity dependence. To test whether phylogenetic branching patterns can be used to distinguish these two mechanisms, we formulated a time‐dependent, but diversity‐independent model that matches the expected diversity through time of a DD model. We simulated phylogenies under each model and studied how well likelihood methods could recover the true diversification mode. Standard model selection criteria always recovered diversity dependence, even when it was not present. We correct for this bias by using a bootstrap method and find that neither model is decisively supported. This implies that the branching pattern of reconstructed trees contains insufficient information to detect the presence or absence of diversity dependence. We advocate that tests encompassing additional data, for example, traits or range distributions, are needed to evaluate how diversity drives macroevolutionary trends.
DOI Link: 10.1111/evo.14124
Rights: © 2020 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Licence URL(s): http://creativecommons.org/licenses/by-nc/4.0/

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