Fungi and fungus-like organisms of the Krasnokutsk territorial commune (hromada), Kharkiv region, Ukraine

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1,413 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Prylutskyi O, Akulov O, Konotop A (2024). Fungi and fungus-like organisms of the Krasnokutsk territorial commune (hromada), Kharkiv region, Ukraine. Version 1.4. Slobozhanskyi National Nature Park. Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=krasnokutsk_fungi_2023&v=1.4

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Slobozhanskyi National Nature Park. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 4be164b2-8747-4b43-b7c0-2c0802496dd2.  Slobozhanskyi National Nature Park publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Occurrence

Contacts

Geographic Coverage

The territory of Krasnokutsk territorial commune (hromada), Kharkiv region, Ukraine. Most observations took place at the Slobozhanskyi National Nature Park.

Taxonomic Coverage

Fungi and fungus-like organisms, including slime molds.

Temporal Coverage

Project Data

BioDATA grant for data mobilization including digitization, data quality assurance, data preparation, and publication of collection specimen and other species data from Ukraine to GBIF. Dataset preparation was supported within the project "Biodiversity of Krasnokutsk amalgamated territorial community (Kharkiv region)". More details on the grant program here (https://www.nhm.uio.no/english/research/projects/biodata/activities/data-mobilization-call-ukraine.html).

The personnel involved in the project:

Sampling Methods

This dataset aggregates data from different sources that can be classified in two general groups: (i) literature references and (ii) direct observations. We processed published data from research papers, Chronicles of Nature, and academic theses within literature references. Most had no direct references to the occurrences, only checklists for some territories, such as Slobozhanskyi National Park. Since exact dates and places of occurrences from those sources remain unknown, we georeferenced them based on written locality descriptions (decimal Latitude/decimalLongitude as a centroid point of a locality, accompanied by coordinateUncertaintyInMeters as a distance from a centroid to the furthest point of locality). We assigned a date (eventDate) as the most precise period derived from the description. Many records obtained from published sources were duplicated due to republishing/citing the same records, especially in the regularly updated checklists like Chronicles of Nature. Such records were merged with the most precise coordinates and dates left. For the second group (collection specimens and documented occurrences), we directly translated supporting information to the DarwinCore terms. Relevant specimens from the CWU(Myc) collection were exported from PlutoF data management system (Abarenkov et al., 2010). Occurrences collected during the Park’s inventory and monitoring program were extracted from the “Field Journal” database, maintained by the National Park’s research staff. We also decided to incorporate observations from the iNaturalist platform to obtain the most comprehensive dataset of fungi and fungus-like protists records in Krasnokutsk territorial commune as of a date. Although research-grade observations from iNaturalist.org were already published through the dedicated GBIF dataset, many observations that have not reached research-grade were left behind. At the same time, non-research grade observations often represent the most interesting taxa that amateurs cannot easily identify, so they can not accumulate two or more independent identifications. On the other hand, iNaturalist’s GBIF dataset also incorporates research-grade observations of the species known to be rare and/or threatened, so the locations of their observations migrate to the iNaturalist GBIF dataset in obscured form. That leads to confusion in occurrences’ locations. We believe that providing coordinates for rare fungi as precisely as possible does not hamper threatened fungal species but facilitates their conservation, with few exceptions. So, if we knew the precise location of the occurrences published through the iNaturalist platform, we substituted obscured coordinates with precise ones. To easily distinguish data from the different sources, we used different prefixes in occurrenceID term to indicate data source: ‘litref’ (published references), ‘plutof’ (CWU(Myc) specimens from PlutoF database), ‘inat’ (iNaturalist), ‘fieldjournal’ (Slobozhanskyi National Park internal database). We aligned taxonomy with GBIF Backbone Taxonomy and Index Fungorum nomenclature database. However, for some names, we kept original names provided by the authors. All names as they provided by authors are stored in the verbatimIdentification field.

Method step description:

1. Collecting literature references, georeferenced them and assigned dates based on descriptions.
2. Aggregation of occurrence data from PlutoF, iNaturalist, and “Field Journal” databases.
3. Remove duplicates by merging literature references and exact specimens/observations, whenever that is evidently the same observations.
4. Normalizing taxonomy whenever possible, using GBIF species lookup tool and Index Fungorum reference database.

Collection Data

Bibliographic Citations

1. Yatsiuk, I. I., Leontyev, D. V., & Shlakhter, M. L. (2018). Myxomycetes of the National Nature Park Slobozhanskiy (Ukraine): Biodiversity and noteworthy species. Nordic Journal of Botany, 36(1_2), njb-01605. https://doi.org/10.1111/njb.01605
2. Prylutskyi, O. (2014) Agaricoid fungi (Agaricomycetes, Basidiomycota) of sphagnum bogs and wetland forests of the Slobozhansky National Nature Park. Studia Biologica, 8 (3–4), 179–186
3. Chvikov, V., & Prylutskyi, О. (2020). Annotated checklist of Hygrophoraceae (Agaricales, Basidiomycota) of Ukraine. Biodiversity, Ecology and Experimental Biology, 22(2), Article 2. https://doi.org/10.34142/2708-5848.2020.22.2.01
4. Chronicles of Nature of the Slobozhanskyi National Nature Park (2013-2022). Krasnokutsk.
5. Mieshkov, Ya. (2021) Preliminary list of Fungi and Fungus-like organisms of the National Nature Park "Slobozhanskyi". Supplementary for the Bachelor thesis "Xylotrophic fungi of the National Nature Park "Slobozhanskyi"", V. N. Karazin Kharkiv National University.
6. Pukovetska, O. (2015) Myxogasteromycetes slime molds of NNP “Slobozhanskiy”. Master thesis. V.N. Karazin Kharkiv National University.
7. Shuvaiev, V. (2018) Aquatic Pseudofungi (Fungus-like protists) of the National Natural Park "Slobozhanskyi". Master thesis. V.N. Karazin Kharkiv National University.
8. Zlenko, O. (2015) Dematioid hyphomycetes of the National Nature Park "Slobozhanskyi". Master thesis. V.N. Karazin Kharkiv National University.
9. Abarenkov, K., Tedersoo, L., Nilsson, R. H., Vellak, K., Saar, I., Veldre, V., Parmasto, E., Prous, M., Aan, A., Ots, M., Kurina, O., Ostonen, I., Jõgeva, J., Halapuu, S., Põldmaa, K., Toots, M., Truu, J., Larsson, K.-H., & Kõljalg, U. (2010). PlutoF – a Web Based Workbench for Ecological and Taxonomic Research, with an Online Implementation for Fungal ITS Sequences. Evolutionary Bioinformatics, 6, EBO.S6271. https://doi.org/10.4137/EBO.S6271

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