Evidence map›Paper›PMID 29073895›Full record

ArticleBMC biology2017

Spatial phylogenetics of the native California flora.

Andrew H Thornhill, Bruce G Baldwin, William A Freyman, Sonia Nosratinia, Matthew M Kling, Naia Morueta-Holme, Thomas P Madsen, David D Ackerly, Brent D Mishler

Abstract read
In one paragraph

Article in BMC biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  3. Nuclear Ribosomal ITS1-5.8S rDNA-ITS2 Region as a Phylogenetic Marker forInternational journal of molecular sciences · 2026
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  14. Climatic stability and geological history shape global centers of neo- and paleoendemism in seed plants.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Capturing patterns of evolutionary relatedness with reflectance spectra to model and monitor biodiversity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Taxonomy Complexity of Some Tyrrhenian EndemicPlants (Basel, Switzerland) · 2022
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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

9 authors.

Andrew H ThornhillUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA. Andrew.Thornhill@gmail.com.
Bruce G BaldwinUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
William A FreymanUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
Sonia NosratiniaUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
Matthew M KlingUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
Naia Morueta-HolmeUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
Thomas P MadsenUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
David D AckerlyUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.
Brent D MishlerUniversity and Jepson Herbaria and Department of Integrative Biology, University of California, 1001 Valley Life Sciences Building, Berkeley, CA, 94720, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCalifornia is a world floristic biodiversity hotspot where the terms neo- and paleo-endemism were first applied. Using spatial phylogenetics, it is now possible to evaluate biodiversity from an evolutionary standpoint, including discovering significant areas of neo- and paleo-endemism, by combining spatial information from museum collections and DNA-based phylogenies. Here we used a distributional dataset of 1.39 million herbarium specimens, a phylogeny of 1083 operational taxonomic units (OTUs) and 9 genes, and a spatial randomization test to identify regions of significant phylogenetic diversity, relative phylogenetic diversity, and phylogenetic endemism (PE), as well as to conduct a categorical analysis of neo- and paleo-endemism (CANAPE).

resultsWe found (1) extensive phylogenetic clustering in the South Coast Ranges, southern Great Valley, and deserts of California; (2) significant concentrations of short branches in the Mojave and Great Basin Deserts and the South Coast Ranges and long branches in the northern Great Valley, Sierra Nevada foothills, and the northwestern and southwestern parts of the state; (3) significant concentrations of paleo-endemism in Northwestern California, the northern Great Valley, and western Sonoran Desert, and neo-endemism in the White-Inyo Range, northern Mojave Desert, and southern Channel Islands. Multiple analyses were run to observe the effects on significance patterns of using different phylogenetic tree topologies (uncalibrated trees versus time-calibrated ultrametric trees) and using different representations of OTU ranges (herbarium specimen locations versus species distribution models).

conclusionsThese analyses showed that examining the geographic distributions of branch lengths in a statistical framework adds a new dimension to California floristics that, in comparison with climatic data, helps to illuminate causes of endemism. In particular, the concentration of significant PE in more arid regions of California extends previous ideas about aridity as an evolutionary stimulus. The patterns seen are largely robust to phylogenetic uncertainty and time calibration but are sensitive to the use of occurrence data versus modeled ranges, indicating that special attention toward improving geographic distributional data should be top priority in the future for advancing understanding of spatial patterns of biodiversity.

Indexed as

BiodiversityBiological EvolutionConservation of Natural ResourcesPhylogenyPlantsCaliforniaSpatial AnalysisCalifornia floraCANAPEEvolutionPhylogenetic diversityPhylogenetic endemismSpatial phylogeneticsSpecies distribution modeling

Identifiers

PMID29073895
PMCPMC5658987

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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.