Evidence map›Paper›PMID 42129411›Full record

ArticleScientific reports2026

Patterns in the distribution of Ecuadorian amphibian type localities.

Diana Székely, Diego Armijos-Ojeda, Paul Székely

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Diana SzékelyMuseo de Zoología, Universidad Técnica Particular de Loja, San Cayetano Alto, calle París s/n, 110107, Loja, Ecuador. dszekely@utpl.edu.ec.
Diego Armijos-OjedaMuseo de Zoología, Universidad Técnica Particular de Loja, San Cayetano Alto, calle París s/n, 110107, Loja, Ecuador.
Paul SzékelyMuseo de Zoología, Universidad Técnica Particular de Loja, San Cayetano Alto, calle París s/n, 110107, Loja, Ecuador. jpszekely@utpl.edu.ec.

Funding

Naturaleza y Cultura Internacional PROY_INV_BA_2022_3502_PY3502Rainforest Trust PROY_INV_BA_2022_3502_PY3502Universidad Técnica Particular de Loja PROY_INV_BA_2022_3573
6 · The paper itself

Abstract

In taxonomy, the type locality of a species is a fundamental concept, as relevant to the species description as the definition of morphological characters. Although they hold a high intrinsic scientific, cultural and social value, their conservation has been globally overlooked. As a showcase, we focused our study on a megadiverse country (Ecuador) and a diverse group of vertebrates (amphibians). We georeferenced the type localities of all amphibian species reported from Ecuador, evaluated chronological changes in their distribution, assessed the factors that affect their location, and emphasized areas of high conservation value. We found that the distribution of type localities is affected by road access and closeness to inhabited centers, most are unprotected, and more intense sampling in an area leads to a higher number of type localities there, while the relationship with species richness is more complex. Our study reveals "hotspots" of type localities, and in many cases their protection status can be improved through marginal extension of already established reserves. These sites represent a priority for the conservation of microendemic species (over 20%), and they have potential to bolster conservation actions given the social interest in their historical dimension and attractiveness for the general public.

Indexed as

AmphibiansAnimalsBiodiversityConservation of Natural ResourcesEcosystemEcuadorConservation policiesConservation priorityEndemic faunaLoci classiciSpatial analysis

Identifiers

PMID42129411
PMCPMC13365574

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.