Dataset from an inventory of slime moulds (Eumycetozoa) in two forest nature reserves of the Masurian Lakeland, north‑eastern Poland

Description

Supplementary Material 1 Full myxomycete occurrence records. This record-level dataset contains all 492 collection records, including taxon, acquisition method, dates, moist chamber information, substrate type and substrate species, pH, elevation, geographic coordinates, coordinate precision, collector(s), determiner(s), reserve name, forest address, forest district, forest site type, degradation degree, moisture variant and Natura 2000 habitat code. Records distinguish field-survey collections from moist chamber culture records and should be interpreted as collection incidences rather than direct measures of field abundance. Supplementary Material 1.1 Monthly field sampling effort in Gązwa and Dębowo Nature Reserves and meteorological context during the study period. The table summarises the number of field outings per reserve for each sampled month, together with mean monthly air temperature, monthly precipitation totals and mean monthly relative humidity. Supplementary Material 1.2 Substrate-level alpha-diversity metrics and taxon incidence totals. For each substrate code, the file reports taxon richness, Shannon diversity, the Gini–Simpson index and Pielou’s evenness, together with host tree, substrate material, ecological substrate class and, where available, mean soaking-water pH. It also includes total incidence values for each recorded taxon. Supplementary Material 1.3 Summaries of richness and diversity by ecological substrate class, together with the exploratory Wilcoxon comparison between lignicolous and non-lignicolous substrates. The file reports class-level means and standard deviations for diversity metrics and the test output for the richness comparison. Supplementary Material 1.4 Univariate Gaussian linear model relating taxon richness to mean soaking-water pH for tree-linked substrates with pH data. The file includes model estimates and summary statistics used to describe the richness–pH relationship. Supplementary Material 1.5 Non-metric multidimensional scaling ordination scores for substrate codes. The ordination is based on Bray–Curtis dissimilarities calculated from presence–absence data and includes NMDS coordinates together with substrate metadata. Supplementary Material 1.6 Combined records of slime moulds by host tree and substrate type. The file summarises observed taxon–substrate associations across both reserves and both acquisition methods. Supplementary Material 1.7 Mean soaking-water pH values from moist chamber cultures. The file summarises pH measurements for tree-linked substrate combinations used in the culture-based part of the study. Supplementary Material 1.8 Moist chamber cultures established from tree-linked substrates in Gązwa and Dębowo Nature Reserves. The file documents culture identifiers, substrate combinations and cultivation metadata.

Steps to reproduce

To reproduce Supplementary Material 1.1 - 1.8, start from Supplementary Material 1 and the associated substrate and culture metadata. Check that each record has a taxon name, acquisition method, reserve, substrate code or substrate type, and, where relevant, host tree, material code and moist chamber pH. For Supplementary Material 1.1, summarise field outings by month and reserve. Combine these counts with meteorological data for the same months. Calculate monthly precipitation as the sum of daily precipitation values and mean monthly relative humidity as the arithmetic mean of daily mean relative humidity values at 2 m above ground. Report these values with mean monthly air temperature. For Supplementary Material 1.2, build a taxon × substrate-code incidence matrix by summing collection records for each taxon–substrate combination across both reserves and both acquisition methods. For each substrate code, calculate taxon richness as the number of taxa with non-zero incidence, Shannon diversity from relative incidences, the Gini–Simpson index as 1 minus Simpson concentration, and Pielou’s evenness as H′/ln(S). Merge the resulting indices with substrate metadata and mean pH where available. Obtain taxon incidence totals by summing each taxon across all substrate codes. For Supplementary Material 1.3, group substrate-level diversity metrics by ecological substrate class and calculate the number of substrate codes plus the mean and standard deviation of richness, Shannon diversity, Gini–Simpson index and evenness. For the exploratory comparison, classify substrate codes as lignicolous or non-lignicolous and apply a two-sided Wilcoxon rank-sum test to taxon richness. For Supplementary Material 1.4, restrict the dataset to tree-linked substrate codes with measured mean soaking-water pH and fit a univariate Gaussian linear model with taxon richness as the response and mean pH as a continuous predictor. Export the model coefficients and summary statistics. For Supplementary Material 1.5, convert the incidence matrix to presence–absence form, calculate Bray–Curtis dissimilarities among substrate codes and run a two-dimensional NMDS ordination, for example with metaMDS in R. Export NMDS coordinates and merge them with substrate metadata. For Supplementary Material 1.6, aggregate records by taxon, host tree and substrate type to obtain observed substrate associations. For Supplementary Material 1.7, average soaking-water pH measurements by host tree × substrate combination. For Supplementary Material 1.8, list the moist chamber cultures and their setup and harvest metadata.

Institutions

• Bialystok University of Technology

  Podlasie, Bialystok

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