Evidence map›Paper›PMID 41518054›Full record

ArticleMolecular ecology resources2026

Identifying Key Biodiversity Areas Based on Distinct Genetic Diversity.

Sarah Christin Gronefeld, Heriberto López, Robin Schmidt, Axel Hochkirch

Abstract readEvaluation Study
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Sarah Christin GronefeldTrier University, Department of Biogeography, Trier, Germany.ORCID https://orcid.org/0009-0008-6955-709X
Heriberto LópezInstituto de Productos Naturales y Agrobiología (IPNA CSIC), San Cristóbal de La Laguna, Spain.
Robin SchmidtZoological Institute, Technische Universität Braunschweig, Braunschweig, Germany.
Axel HochkirchTrier University, Department of Biogeography, Trier, Germany.

Funding

Biodiversa+ 16LW0320
6 · The paper itself

Abstract

Key Biodiversity Areas (KBAs) are sites that contribute significantly to the global persistence of biodiversity. Distinct genetic diversity has been introduced as one of the metrics to estimate whether a site holds a threshold proportion of a species' global genetic diversity during the KBA identification process. However, genetic data has so far not been applied in KBA identification due to the lack of thoroughly tested methods and guidance. We tested the suitability of six analytical methods for identification of KBAs based upon genetic data: allelic overlap, Analyses of Molecular Variance (AMOVA), average taxonomic distinctness (AvTD, Δ

Indexed as

BiodiversityGenetic Variationconservationgenetic distinctivenessgenetic diversitygenetics structureKBAspecies protection

Identifiers

PMID41518054
PMCPMC12789961

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.