Evidence map›Paper›PMID 40658001›Full record

ArticleEcology letters2025

Areas of High Biodiversity Value Evidenced by the Spatial Scaling of Phylogenetic Uniqueness.

Andrés Baselga, Ramiro Martín-Devasa, Carola Gómez-Rodríguez

Abstract read
In one paragraph

Article in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Andrés BaselgaCRETUS, Department of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0001-7914-7109
Ramiro Martín-DevasaCRETUS, Department of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0002-3890-5003
Carola Gómez-RodríguezCRETUS, Department of Functional Biology (Area of Ecology), Universidade de Santiago de Compostela, Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0002-2019-7176

Funding

Ministerio de Ciencia, Innovación y Universidades PID2020-112935GB-I00/AEI/10.13039/50110001103
6 · The paper itself

Abstract

Distinct biological communities have high conservation value because they harbour species that cannot be preserved elsewhere. However, community uniqueness is scale-dependent: irreplaceability depends on whether community dissimilarity emerges at small or large spatial scales. To assess conservation value, here we integrate phylogenetic endemism with the spatial scaling of phylogenetic uniqueness in terrestrial vertebrates. We show that phylogenetic endemism is the most efficient single criterion to maximise global phylogenetic diversity within the smallest land area. Moreover, the spatial scaling of phylogenetic uniqueness allows distinguishing globally distinct but regionally less unique sites '(evolutionary hills)', from highly irreplaceable sites even at small scales '(evolutionary islands)', which support lower local diversity but host species that are both evolutionarily unique and threatened. This approach provides a non-heuristic and stable baseline to identify high-value biodiversity areas and offers a powerful tool for prioritising conservation efforts to safeguard evolutionary heritage effectively.

Indexed as

BiodiversityConservation of Natural ResourcesPhylogenyVertebratesAnimalsBiological EvolutionModels, Biologicaldistance decay modelsecological uniquenessendemismirreplaceabilityphylogenetic dissimilarityspatial scaling

Identifiers

PMID40658001
PMCPMC12258097

What OpenQuestion holds

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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.