Evidence map›Paper›PMID 42438711›Full record

ArticlePeerJ2026

Recorded and predicted occurrence of slime moulds (Eumycetozoa) in Poland from Central and Eastern European data.

Tomasz Pawłowicz

Abstract read
In one paragraph

Article in PeerJ, 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

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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

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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

1 author.

Tomasz PawłowiczInstitute of Forest Sciences, Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, Białystok, Podlaskie, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To quantify recorded and potential (model-based) occurrence of slime moulds (Eumycetozoa) in Poland within a harmonised Central and Eastern European (CEE) framework, and to provide a reproducible basis for targeted survey planning and biodiversity assessment. Location: Poland, with a comparative regional context based on harmonised occurrence data from 16 countries in Central and Eastern Europe. Methods: We used a taxonomically standardised, georeferenced Darwin Core dataset of Eumycetozoa compiled for 16 CEE countries. A Polish national checklist was assembled and annotated with habitat, substrate and national bibliographic information. We delineated an additional set of candidate taxa from the wider CEE pool and, where data permitted, evaluated them using presence-only species distribution models to estimate broad-scale climatic suitability in Poland and to identify regions and taxonomic groups concentrating potential diversity. Results: The Polish checklist comprised 278 species in six orders, strongly dominated by Physarales, Trichiales, Stemonitidales and Cribrariales, with known records spatially clustered in a limited set of well-surveyed regions. Comparison with the regional pool indicated 365 additional candidate taxa in 11 orders not yet recorded from Poland. Of these, 101 species could be modelled, and 31 achieved medium or high model-based suitability within Poland. Adding these 31 taxa to the recorded checklist yields a conservative estimate of 309 species likely to occur nationally, whereas including all candidates provides a theoretical regional maximum of 643 taxa. Model predictions highlighted western and northern voivodeships as concentrating suitable climatic conditions for multiple candidate species. Conclusions: Harmonised occurrence data, an annotated national checklist and model-based predictions together indicate substantial survey gaps and a considerable pool of likely yet unrecorded taxa in Poland. These outputs provide a transparent, reproducible framework to prioritise future fieldwork, fill spatial and taxonomic gaps, and support the development of slime moulds as biodiversity indicators for forests in Poland, with regional climatic priorities to be validated against forest type, substrate availability and survey-time weather.

Indexed as

MyxomycetesBiodiversityEcosystemPolandBiodiversity assessmentCentral and Eastern EuropeEumycetozoaForest bioindicationMyxobiotaPolandPotential richnessSpecies checklistSpecies distribution modelling

Identifiers

PMID42438711
PMCPMC13356830

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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.