Evidence map›Paper›PMID 38862907›Full record

ArticleBMC ecology and evolution2024

PhyloNext: a pipeline for phylogenetic diversity analysis of GBIF-mediated data.

Vladimir Mikryukov, Kessy Abarenkov, Shawn Laffan, Tim Robertson, Emily Jane McTavish, Thomas Stjernegaard Jeppesen, John Waller, Matthew Blissett, Urmas Kõljalg, Joseph T Miller

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Globally aggregated biodiversity data impact predictive and descriptive research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

10 authors.

Vladimir MikryukovInstitute of Ecology and Earth Sciences, University of Tartu, Liivi 2, Tartu, 50409, Estonia. vladimir.mikryukov@ut.ee.
Kessy AbarenkovNatural History Museum, University of Tartu, Vanemuise 46, Tartu, 51003, Estonia.
Shawn LaffanEarth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.
Tim RobertsonGlobal Biodiversity Information Facility, Universitetsparken 15, Copenhagen, 2100, Denmark.
Emily Jane McTavishSchool of Natural Sciences, University of California, Merced, USA.
Thomas Stjernegaard JeppesenGlobal Biodiversity Information Facility, Universitetsparken 15, Copenhagen, 2100, Denmark.
John WallerGlobal Biodiversity Information Facility, Universitetsparken 15, Copenhagen, 2100, Denmark.
Matthew BlissettGlobal Biodiversity Information Facility, Universitetsparken 15, Copenhagen, 2100, Denmark.
Urmas KõljalgInstitute of Ecology and Earth Sciences, University of Tartu, Liivi 2, Tartu, 50409, Estonia.
Joseph T MillerGlobal Biodiversity Information Facility, Universitetsparken 15, Copenhagen, 2100, Denmark. jmiller@gbif.org.

Funding

GEO-Microsoft Planetary Computer Programme PD (Phylogenetic Diversity) in the Cloud
6 · The paper itself

Abstract

backgroundUnderstanding biodiversity patterns is a central topic in biogeography and ecology, and it is essential for conservation planning and policy development. Diversity estimates that consider the evolutionary relationships among species, such as phylogenetic diversity and phylogenetic endemicity indices, provide valuable insights into the functional diversity and evolutionary uniqueness of biological communities. These estimates are crucial for informed decision-making and effective global biodiversity management. However, the current methodologies used to generate these metrics encounter challenges in terms of efficiency, accuracy, and data integration.

resultsWe introduce PhyloNext, a flexible and data-intensive computational pipeline designed for phylogenetic diversity and endemicity analysis. The pipeline integrates GBIF occurrence data and OpenTree phylogenies with the Biodiverse software. PhyloNext is free, open-source, and provided as Docker and Singularity containers for effortless setup. To enhance user accessibility, a user-friendly, web-based graphical user interface has been developed, facilitating easy and efficient navigation for exploring and executing the pipeline. PhyloNext streamlines the process of conducting phylogenetic diversity analyses, improving efficiency, accuracy, and reproducibility. The automated workflow allows for periodic reanalysis using updated input data, ensuring that conservation strategies remain relevant and informed by the latest available data.

conclusionsPhyloNext provides researchers, conservationists, and policymakers with a powerful tool to facilitate a broader understanding of biodiversity patterns, supporting more effective conservation planning and policy development. This new pipeline simplifies the creation of reproducible and easily updatable phylogenetic diversity analyses. Additionally, it promotes increased interoperability and integration with other biodiversity databases and analytical tools.

Indexed as

BiodiversityPhylogenySoftwareBig dataBiodiversityData cleaningDerived datasetsGBIFOpen Tree of LifePhylodiversitySpatial phylogenetics

Identifiers

PMID38862907
PMCPMC11165860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.