Evidence map›Paper›PMID 40204765›Full record

ArticleScientific reports2025

Vulnerability of Gubernatrix cristata to climate change, anthropogenic pressures, and hybridization threats.

Regina Gabriela Medina, Marisol Domínguez

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Regina Gabriela MedinaDepartamento de Ecología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.
Marisol DomínguezUnit of Evolutionary Biology/Systematic Zoology, Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, Haus 26, D-14476, Potsdam, Germany. dominguez@uni-potsdam.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating extinction risk is challenging due to insufficient data on current and future threats. This study develops a framework incorporating the impacts of climate change, anthropogenic pressures, and biotic interactions for assessing extinction risks using the endangered Yellow Cardinal (Gubernatrix cristata) as a case study. Using ecological niche modeling (ENM) with occurrences, climate, and land use data, we projected current and future distributions of G. cristata, identifying key constraints for its occurrence. Field validation through a citizen science initiative contributed new presence records, supporting our model's predictions. Currently, 4.50% of cardinal's suitable areas overlap with areas of high anthropic pressures, while 27.04% are in contact with the hybridizing species Diuca diuca. Future projections predict a 60% shift in the cardinal's distribution, exacerbating its vulnerability due to greater overlap with areas of high anthropic pressures and reduced presence in protected areas. We identified key risk areas on the distribution's periphery, vulnerable to geographic range loss and increased interaction with D. diuca due to climate change. Targeted management actions are recommended to mitigate further degradation. This study illustrates the potential of integrating citizen science, ENM, and anthropogenic and biotic pressures to develop conservation strategies, offering a versatile, universally applicable framework crucial for global biodiversity and conservation efforts.

Indexed as

Anthropogenic EffectsClimate ChangeHybridization, GeneticAnimalsConservation of Natural ResourcesEcosystemEndangered SpeciesExtinction, BiologicalDiuca diucaEcological niche modelingGeographic range lossHuman footprintProtected areasRisk map

Identifiers

PMID40204765
PMCPMC11982183

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.