Evidence map›Paper›PMID 23097512›Full record

ArticleProceedings. Biological sciences2012

Traits, trees and taxa: global dimensions of biodiversity in mammals.

Shan Huang, Patrick R Stephens, John L Gittleman

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Mammal diversity will take millions of years to recover from the current biodiversity crisis.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  4. Article
  5. Global priorities for conservation across multiple dimensions of mammalian diversity.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Asynchrony of taxonomic, functional and phylogenetic diversity in birds.Global ecology and biogeography : a journal of macroecology · 2014
    Article
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

3 authors.

Shan HuangOdum School of Ecology, University of Georgia, Athens, GA 30605, USA. huangs@uchicago.edu
Patrick R Stephens
John L Gittleman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measures of biodiversity encompass variation along several dimensions such as species richness (SR), phylogenetic diversity (PD) and functional/trait diversity (TD). At the global scale, it is widely recognized that SR and PD are strongly correlated, but the extent to which either tends to capture variation in TD is unclear. Here, we assess relationships among PD, SR and TD for a number of traits both across clades and regional assemblages of mammals. We also contrast results using two different measures of TD, trait variance and a new measure we refer to as trait bin filling (the number of orders of magnitude of variation that contain at least one species). When TD is defined as trait variance, PD is a much stronger correlate of TD than SR across clades, consistent with hypotheses about the conservation value of PD. However, when TD is defined as bin filling, PD and SR show similar correlations with TD across clades and space. We also investigate potential losses of SR, PD and TD if species that are currently threatened were to go extinct, and find that threatened PD is often a similar predictor of threatened TD as SR.

Indexed as

BiodiversityBiological EvolutionPhenotypeAnimalsConservation of Natural ResourcesGeographyMammalsPhylogeny

Identifiers

PMID23097512
PMCPMC3497241

What OpenQuestion holds

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Registered trials

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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.