Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia

被引:243
作者
Mishler, Brent D. [1 ,2 ,3 ]
Knerr, Nunzio [1 ]
Gonzalez-Orozco, Carlos E. [1 ,4 ]
Thornhill, Andrew H. [1 ,5 ]
Laffan, Shawn W. [6 ]
Miller, Joseph T. [1 ]
机构
[1] CSIRO Plant Ind, Ctr Australian Natl Biodivers Res, Canberra, ACT 2601, Australia
[2] Univ Calif Berkeley, Univ & Jepson Herbaria, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA
[4] Univ Canberra, Inst Appl Ecol & Collaborat Res Network Murray Da, Canberra, ACT 2601, Australia
[5] James Cook Univ, Australian Trop Herbarium, Cairns, Qld 4870, Australia
[6] Univ New S Wales, Sch Biol Earth & Environm Sci, Ctr Ecosyst Sci, Sydney, NSW, Australia
关键词
EVOLUTIONARY HISTORY; DIVERSITY; CONSERVATION; MIMOSOIDEAE; LEGUMINOSAE; FLORA; PATTERNS; HOTSPOTS; ECOLOGY;
D O I
10.1038/ncomms5473
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding spatial patterns of biodiversity is critical for conservation planning, particularly given rapid habitat loss and human-induced climatic change. Diversity and endemism are typically assessed by comparing species ranges across regions. However, investigation of patterns of species diversity alone misses out on the full richness of patterns that can be inferred using a phylogenetic approach. Here, using Australian Acacia as an example, we show that the application of phylogenetic methods, particularly two new measures, relative phylogenetic diversity and relative phylogenetic endemism, greatly enhances our knowledge of biodiversity across both space and time. We found that areas of high species richness and species endemism are not necessarily areas of high phylogenetic diversity or phylogenetic endemism. We propose a new method called categorical analysis of neo- and paleo-endemism (CANAPE) that allows, for the first time, a clear, quantitative distinction between centres of neo- and paleo-endemism, useful to the conservation decision-making process.
引用
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页数:10
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