Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia
Brent D. Mishler (),
Nunzio Knerr,
Carlos E. González-Orozco,
Andrew H. Thornhill,
Shawn W. Laffan and
Joseph T. Miller
Additional contact information
Brent D. Mishler: Centre for Australian National Biodiversity Research, CSIRO Plant Industry
Nunzio Knerr: Centre for Australian National Biodiversity Research, CSIRO Plant Industry
Carlos E. González-Orozco: Centre for Australian National Biodiversity Research, CSIRO Plant Industry
Andrew H. Thornhill: Centre for Australian National Biodiversity Research, CSIRO Plant Industry
Shawn W. Laffan: Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales
Joseph T. Miller: Centre for Australian National Biodiversity Research, CSIRO Plant Industry
Nature Communications, 2014, vol. 5, issue 1, 1-10
Abstract:
Abstract 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.
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.nature.com/articles/ncomms5473 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5473
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms5473
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().