In this paper I address the question-how large is a phylogenetic sample? I propose a definition of a phylogenetic effective sample size for Brownian motion and Ornstein-Uhlenbeck processes-the regression effective sample size. I discuss how mutual information can be used to define an effective sample size in the non-normal process case and compare these two definitions to an already present concept of effective sample size (the mean effective sample size). Through a simulation study I find that the AIC(c) is robust if one corrects for the number of species or effective number of species. Lastly I discuss how the concept of the phylogenetic effective sample size can be useful for biodiversity quantification, identification of interesting clades and deciding on the importance of phylogenetic correlations. (C) 2016 Elsevier Ltd. All rights reserved.
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Michigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USAMichigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USA
Truesdell, Samuel B.
Bence, James R.
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Michigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USAMichigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USA
Bence, James R.
Syslo, John M.
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Michigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USAMichigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USA
Syslo, John M.
Ebener, Mark P.
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Chippewa Ottawa Resource Author, 179 W Three Mile Rd, Sault Ste Marie, MI 49783 USAMichigan State Univ, Dept Fisheries & Wildlife, Quantitat Fisheries Ctr, E Lansing, MI 48824 USA