Małgorzata Olszewska

Local physicochemical variability in small post-extraction gravel pit lakes is often difficult to interpret because water chemistry may reflect both seasonal dynamics and highly local shoreline conditions. This study assessed spatial and temporal patterns in selected physicochemical parameters of near-surface water at eight fixed littoral sampling points representing contrasting riparian and land-use settings in two gravel pit lakes within the Międzyrzeckie Jeziorka lake complex near Międzyrzec Podlaski, eastern Poland. Surface-water monitoring was conducted from 9 November 2024 to 23 September 2025. The analytical dataset covered total organic carbon, inorganic carbon, total carbon, total nitrogen and laboratory-measured pH. The strongest and most consistent changes occurred between sampling dates in both lakes. Differences among fixed points were limited; total nitrogen differed between two points in Gravel pit lake no. 1, while the other parameters showed no date-adjusted point-level pattern over the monitored period. Mean total organic carbon and total carbon concentrations were similar in the two lakes, whereas Gravel pit lake no. 1 showed higher maximum values for most parameters and greater variability in selected carbon and nitrogen fractions. Laboratory-measured pH was generally weakly acidic to near-neutral, and the lowest observations occurred during individual campaigns. The findings show pronounced temporal dynamics and a restricted spatial signal in the monitored littoral zones. Repeated fixed-point sampling provided a clear basis for comparing temporal changes and local differences in these post-extraction lakes. These inferences are restricted to the monitored near-surface physicochemical variables.

Comparative syntheses of myxomycete inventories are often limited by inconsistent definitions of sampling units, incomplete substrate metadata, and unclear handling of sampling units with no detections, particularly in legacy datasets derived from opportunistic collecting. In addition, field observations of sporocarps and moist-chamber incubations represent methodologically distinct evidence streams and should be reported in a way that keeps them explicitly distinguishable. Here, we introduce a minimal, standardised reporting framework that follows a sampling-event structure widely used in biodiversity informatics. All sampling units are documented as events, including those yielding no detections (recorded as non-detections rather than confirmed absences), and each taxon detection is recorded as an occurrence linked to its event through a persistent identifier. For moist-chamber inventories, spatial and temporal metadata refer to the field collection of the substrate, complemented by event-level descriptors of laboratory handling and incubation conditions. This compact template supports transparent data publication and improves cross-study comparability without requiring specialised familiarity with Darwin Core.

European armillarioid fungi (Armillaria and Desarmillaria) are white-rot fungi with soilborne pathogenic potential on woody hosts and clear relevance to forest pathology. This structured narrative review synthesizes the reported chemical composition of European armillarioid taxa across wild basidiocarps, infected host material, and laboratory-derived matrices, with emphasis on metabolites and biochemical traits that can be interpreted in a forestry context. The available evidence is taxonomically and methodologically uneven and is dominated by A. mellea and A. ostoyae, whereas infected host material remains less well characterized than culture-derived and basidiocarp-derived material. Protoilludene-derived aryl esters provide the clearest compound-resolved evidence for antifungal and phytotoxic activity across controlled assay systems, but these data derive from distinct experimental formats that are not directly comparable as a single potency scale, while lipid profiling offers the strongest support for chemistry-based diagnosis from infected material. Overall, current evidence supports forestry interpretation, diagnostic profiling, and selective screening of culture-derived metabolites, but practical application remains constrained by matrix dependence, taxonomic gaps, and the limited transferability of in vitro findings to forest conditions.