Evidence map›Paper›PMID 30151122›Full record

ArticleEcology and evolution2015

Assessing biodiversity and endemism using phylogenetic methods across multiple taxonomic groups.

Carlos E González-Orozco, Brent D Mishler, Joseph T Miller, Shawn W Laffan, Nunzio Knerr, Peter Unmack, Arthur Georges, Andrew H Thornhill, Dan F Rosauer, Bernd Gruber

Abstract read
In one paragraph

Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Biodiversity analysis in the digital era.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carlos E González-OrozcoInstitute for Applied Ecology and Collaborative Research Network for Murray-Darling Basin Futures University of Canberra Canberra Australian Capital Territory 2601 Australia.
Brent D MishlerUniversity and Jepson Herbaria Department of Integrative Biology University of California Berkeley California 94720-2465.
Joseph T MillerCentre for Australian National Biodiversity Research CSIRO Plant Industry GPO Box 1600 Canberra Australian Capital Territory 2601 Australia.
Shawn W LaffanCentre for Ecosystem Science School of Biological, Earth and Environmental Sciences University of New South Wales Kensington New South Wales 2052.ORCID 0000-0002-5996-0570
Nunzio KnerrCentre for Australian National Biodiversity Research CSIRO Plant Industry GPO Box 1600 Canberra Australian Capital Territory 2601 Australia.
Peter UnmackInstitute for Applied Ecology and Collaborative Research Network for Murray-Darling Basin Futures University of Canberra Canberra Australian Capital Territory 2601 Australia.
Arthur GeorgesInstitute for Applied Ecology and Collaborative Research Network for Murray-Darling Basin Futures University of Canberra Canberra Australian Capital Territory 2601 Australia.
Andrew H ThornhillUniversity and Jepson Herbaria Department of Integrative Biology University of California Berkeley California 94720-2465.
Dan F RosauerDivision of Ecology, Evolution and Genetics Australian National University Canberra Australian Capital Territory 0200 Australia.
Bernd GruberInstitute for Applied Ecology and Collaborative Research Network for Murray-Darling Basin Futures University of Canberra Canberra Australian Capital Territory 2601 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying geographical areas with the greatest representation of the tree of life is an important goal for the management and conservation of biodiversity. While there are methods available for using a single phylogenetic tree to assess spatial patterns of biodiversity, there has been limited exploration of how separate phylogenies from multiple taxonomic groups can be used jointly to map diversity and endemism. Here, we demonstrate how to apply different phylogenetic approaches to assess biodiversity across multiple taxonomic groups. We map spatial patterns of phylogenetic diversity/endemism to identify concordant areas with the greatest representation of biodiversity across multiple taxa and demonstrate the approach by applying it to the Murray-Darling basin region of southeastern Australia. The areas with significant centers of phylogenetic diversity and endemism were distributed differently for the five taxonomic groups studied (plant genera, fish, tree frogs, acacias, and eucalypts); no strong shared patterns across all five groups emerged. However, congruence was apparent between some groups in some parts of the basin. The northern region of the basin emerges from the analysis as a priority area for future conservation initiatives focused on eucalypts and tree frogs. The southern region is particularly important for conservation of the evolutionary heritage of plants and fishes.

Indexed as

AustraliabiogeographyconservationMurray–Darling basinphylogenetic diversityphylogenetic endemism

Identifiers

PMID30151122
PMCPMC6102556

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.