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

被引:559
作者
Tucker, Caroline M. [1 ]
Cadotte, Marc W. [2 ,3 ]
Carvalho, Silvia B. [4 ]
Davies, T. Jonathan [5 ,6 ]
Ferrier, Simon [7 ]
Fritz, Susanne A. [8 ,9 ,10 ]
Grenyer, Rich [11 ]
Helmus, Matthew R. [12 ,13 ]
Jin, Lanna S. [14 ]
Mooers, Arne O. [15 ]
Pavoine, Sandrine [16 ,17 ]
Purschke, Oliver [18 ,19 ,20 ]
Redding, David W. [21 ]
Rosauer, Dan F. [22 ]
Winter, Marten [18 ]
Mazel, Florent [23 ]
机构
[1] Univ Colorado, Dept Ecol & Evolut Biol, BOX 334, Boulder, CO 80309 USA
[2] Univ Toronto, Biol Sci, Scarborough, ON M1C 1A4, Canada
[3] Sun Yat Sen Univ, Coll Ecol & Evolut, Higher Educ Inst, Stake Key Lab Biocontrol,Key Lab Biodivers Dynam, Guangzhou, Guangdong, Peoples R China
[4] Univ Porto, Ctr Invest Biodiversidade & Recursos Genet, CIBIO, InBIO, PL-4485661 Vairo, Portugal
[5] McGill Univ, Dept Biol, 1205 Doctor Penfield Ave, Montreal, PQ H3A 1B1, Canada
[6] Univ Johannesburg, African Ctr DNA Barcoding, POB 524, ZA-2006 Johannesburg, South Africa
[7] Climate Adaptat Flagship, CSIRO Ecosyst Sci, GPO BOX 1600, Canberra, ACT 2601, Australia
[8] Biodivers & Climate Res Ctr Bik F, D-60325 Frankfurt, Germany
[9] Senekenberg Gesellschaft Nat Forschung, D-60325 Frankfurt, Germany
[10] Goethe Univ, Inst Ecol Evolut & Div, D-60138 Frankfurt, Germany
[11] Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England
[12] Vrije Univ, Dept Ecol Sci Anim Ecol, Amsterdam, Netherlands
[13] Temple Univ, Dept Biol, Ctr Biodivers, Suite 502, Philadelphia, PA 19122 USA
[14] Univ Toronto, Ecol & Evolut Biol, Room 3055, Toronto, ON M5S3B2, Canada
[15] Simon Fraser Univ, Dept Biol, Burnaby, BC V5A1S6, Canada
[16] Museum Natl Hist Nat, Ctr Ecol & Conservat Sci, UMR CESCO 7204, Paris, France
[17] Univ Oxford, Dept Zool, Oxford OX1 3QY, England
[18] Halle Jena Leipzig, German Ctr Integrat Biodivers Res iDiv, Deutsch Pl 5e, DE-04103 Leipzig, Germany
[19] Martin Luther Univ Halle Wittenberg, Inst Biol, Geobot & Bot Garden, DE-06120 Halle, Germany
[20] Martin Luther Univ Halle Wittenberg, Dept Comp Sci, DE-06120 Halle, Germany
[21] UCL, Dept Genet Evolut & Environm, Ctr Biodivers & Environm Res, London WC1E6BT, England
[22] Australian Natl Univ, Res Sch Biol, Canberra, ACT 2601, Australia
[23] Univ Grenoble Alpes, Lab Ecol Alpine LECA, CNRS, UMR 5553, BP 53, F-38041 Grenoble 9, France
基金
欧洲研究理事会;
关键词
biodiversity hotspots; biogeography; community assembly; conservation; diversity metrics; evolutionary history; phylogenetic diversity; prioritization; range size; FUNCTIONAL DIVERSITY; DIFFERENTIATION MEASURES; NICHE CONSERVATISM; BETA-DIVERSITY; EVOLUTIONARY; BIODIVERSITY; PATTERNS; ASSEMBLAGES; SIMILARITY; RICHNESS;
D O I
10.1111/brv.12252
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 appropriatemetric 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 alpha-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.
引用
收藏
页码:698 / 715
页数:18
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