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A guide to phylogenetic metrics for conservation, community ecology and macroecology

The use of phylogenies in ecology is increasingly common and has broadened our understanding of biological diversity. Ecological sub‐disciplines, particularly conservation, community ecology and macroecology, all recognize the value of evolutionary relationships but the resulting development of phyl...

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Autores principales: Tucker, Caroline M., Cadotte, Marc W., Carvalho, Silvia B., Davies, T. Jonathan, Ferrier, Simon, Fritz, Susanne A., Grenyer, Rich, Helmus, Matthew R., Jin, Lanna S., Mooers, Arne O., Pavoine, Sandrine, Purschke, Oliver, Redding, David W., Rosauer, Dan F., Winter, Marten, Mazel, Florent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096690/
https://www.ncbi.nlm.nih.gov/pubmed/26785932
http://dx.doi.org/10.1111/brv.12252
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author Tucker, Caroline M.
Cadotte, Marc W.
Carvalho, Silvia B.
Davies, T. Jonathan
Ferrier, Simon
Fritz, Susanne A.
Grenyer, Rich
Helmus, Matthew R.
Jin, Lanna S.
Mooers, Arne O.
Pavoine, Sandrine
Purschke, Oliver
Redding, David W.
Rosauer, Dan F.
Winter, Marten
Mazel, Florent
author_facet Tucker, Caroline M.
Cadotte, Marc W.
Carvalho, Silvia B.
Davies, T. Jonathan
Ferrier, Simon
Fritz, Susanne A.
Grenyer, Rich
Helmus, Matthew R.
Jin, Lanna S.
Mooers, Arne O.
Pavoine, Sandrine
Purschke, Oliver
Redding, David W.
Rosauer, Dan F.
Winter, Marten
Mazel, Florent
author_sort Tucker, Caroline M.
collection PubMed
description The use of phylogenies in ecology is increasingly common and has broadened our understanding of biological diversity. Ecological sub‐disciplines, particularly conservation, community ecology and macroecology, all recognize the value of evolutionary relationships but the resulting development of phylogenetic approaches has led to a proliferation of phylogenetic diversity metrics. The use of many metrics across the sub‐disciplines hampers potential meta‐analyses, syntheses, and generalizations of existing results. Further, there is no guide for selecting the appropriate metric for a given question, and different metrics are frequently used to address similar questions. To improve the choice, application, and interpretation of phylo‐diversity metrics, we organize existing metrics by expanding on a unifying framework for phylogenetic information. Generally, questions about phylogenetic relationships within or between assemblages tend to ask three types of question: how much; how different; or how regular? We show that these questions reflect three dimensions of a phylogenetic tree: richness, divergence, and regularity. We classify 70 existing phylo‐diversity metrics based on their mathematical form within these three dimensions and identify ‘anchor’ representatives: for α‐diversity metrics these are PD (Faith's phylogenetic diversity), MPD (mean pairwise distance), and VPD (variation of pairwise distances). By analysing mathematical formulae and using simulations, we use this framework to identify metrics that mix dimensions, and we provide a guide to choosing and using the most appropriate metrics. We show that metric choice requires connecting the research question with the correct dimension of the framework and that there are logical approaches to selecting and interpreting metrics. The guide outlined herein will help researchers navigate the current jungle of indices.
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spelling pubmed-50966902017-05-01 A guide to phylogenetic metrics for conservation, community ecology and macroecology Tucker, Caroline M. Cadotte, Marc W. Carvalho, Silvia B. Davies, T. Jonathan Ferrier, Simon Fritz, Susanne A. Grenyer, Rich Helmus, Matthew R. Jin, Lanna S. Mooers, Arne O. Pavoine, Sandrine Purschke, Oliver Redding, David W. Rosauer, Dan F. Winter, Marten Mazel, Florent Biol Rev Camb Philos Soc Original Articles The use of phylogenies in ecology is increasingly common and has broadened our understanding of biological diversity. Ecological sub‐disciplines, particularly conservation, community ecology and macroecology, all recognize the value of evolutionary relationships but the resulting development of phylogenetic approaches has led to a proliferation of phylogenetic diversity metrics. The use of many metrics across the sub‐disciplines hampers potential meta‐analyses, syntheses, and generalizations of existing results. Further, there is no guide for selecting the appropriate metric for a given question, and different metrics are frequently used to address similar questions. To improve the choice, application, and interpretation of phylo‐diversity metrics, we organize existing metrics by expanding on a unifying framework for phylogenetic information. Generally, questions about phylogenetic relationships within or between assemblages tend to ask three types of question: how much; how different; or how regular? We show that these questions reflect three dimensions of a phylogenetic tree: richness, divergence, and regularity. We classify 70 existing phylo‐diversity metrics based on their mathematical form within these three dimensions and identify ‘anchor’ representatives: for α‐diversity metrics these are PD (Faith's phylogenetic diversity), MPD (mean pairwise distance), and VPD (variation of pairwise distances). By analysing mathematical formulae and using simulations, we use this framework to identify metrics that mix dimensions, and we provide a guide to choosing and using the most appropriate metrics. We show that metric choice requires connecting the research question with the correct dimension of the framework and that there are logical approaches to selecting and interpreting metrics. The guide outlined herein will help researchers navigate the current jungle of indices. Blackwell Publishing Ltd 2016-01-20 2017-05 /pmc/articles/PMC5096690/ /pubmed/26785932 http://dx.doi.org/10.1111/brv.12252 Text en © 2016 The Authors. Biological Reviews published by John Wiley © Sons Ltd on behalf of Cambridge Philosophical Society. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Tucker, Caroline M.
Cadotte, Marc W.
Carvalho, Silvia B.
Davies, T. Jonathan
Ferrier, Simon
Fritz, Susanne A.
Grenyer, Rich
Helmus, Matthew R.
Jin, Lanna S.
Mooers, Arne O.
Pavoine, Sandrine
Purschke, Oliver
Redding, David W.
Rosauer, Dan F.
Winter, Marten
Mazel, Florent
A guide to phylogenetic metrics for conservation, community ecology and macroecology
title A guide to phylogenetic metrics for conservation, community ecology and macroecology
title_full A guide to phylogenetic metrics for conservation, community ecology and macroecology
title_fullStr A guide to phylogenetic metrics for conservation, community ecology and macroecology
title_full_unstemmed A guide to phylogenetic metrics for conservation, community ecology and macroecology
title_short A guide to phylogenetic metrics for conservation, community ecology and macroecology
title_sort guide to phylogenetic metrics for conservation, community ecology and macroecology
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096690/
https://www.ncbi.nlm.nih.gov/pubmed/26785932
http://dx.doi.org/10.1111/brv.12252
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