Distribution of threatened lycopod species within Ukraine

Latest version published by Ukrainian Nature Conservation Group (NGO) on Jan 19, 2024 Ukrainian Nature Conservation Group (NGO)
Publication date:
19 January 2024
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 2,250 records in English (188 KB) - Update frequency: unknown
Metadata as an EML file download in English (14 KB)
Metadata as an RTF file download in English (11 KB)


Dataset contains occurrences of 6 protected lycopod species within Ukraine registered since the 2nd part of XIX century.

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 2,250 records.

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.


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

How to cite

Researchers should cite this work as follows:

Burlaka M (2024). Distribution of threatened lycopod species within Ukraine. Version 1.1. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=lycopodsua1&v=1.1


Researchers should respect the following rights statement:

The publisher and rights holder of this work is Ukrainian Nature Conservation Group (NGO). 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: d151bce8-d997-4d3a-87dd-6003517b7b71.  Ukrainian Nature Conservation Group (NGO) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.


Occurrence; lycopods; Ukraine; flora; Lycopodiopsida; rare species; biodiversity; plants; Observation


Oleksii Marushchak
  • Custodian Steward
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv

Geographic Coverage

The dataset consists of records made within the entire territory of Ukraine, that containes(ed) suitable habitats for growing and preservations of the target Lycopodiopsida species.

Bounding Coordinates South West [47.725, 22.518], North East [52.36, 36.233]

Taxonomic Coverage

The dataset consists of records of 6 Lycopodiopsida species: Lycopodium annotinum, Huperzia selago, Diphasiastrum alpinum, Diphasiastrum complanatum, Diphasiastrum tristachyum, Diphasiastrum zeilleri

Kingdom Plantae
Phylum Tracheophyta
Class Lycopodiopsida
Order Lycopodiales
Family Lycopodiaceae
Genus Diphasiastrum, Huperzia, Lycopodium
Species Diphasiastrum complanatum, Diphasiastrum zeilleri, Diphasiastrum tristachyum, Diphasiastrum alpinum, Huperzia selago, Lycopodium annotinum

Temporal Coverage

Formation Period 1841/2021

Sampling Methods

Data were collected using the following data sources: herbaria (KW, KWHA, KWHU, LW, LWS, LWKS, UU, BRNU, MHA, MW, Carpathian biosphere reserve), scientific literature, iNaturalist, UkrBIN, social media (observations with images and locations). All observations were checked for proper determination and georeferencing.

Study Extent The dataset is a collection of records of 6 rare species of lycopods found on the territory of Ukraine and published/reported/preserved in different forms that enabled the author to correctly interprate, understand, transfer the data and ideally - confirm it with some additional evidence (photos, videos, herbarium samples).
Quality Control The author is responsible for the quality of data provided within the datset.

Method step description:

  1. Collecting of information about 6 rare Lycopodiopsida species of Ukrainian flora from peer-reviewed publications, grey literature, museum collections, social networks, open databases etc.
  2. Adding own records of the mentioned species.
  3. Georeferencing.
  4. Organizing the dataset according to the Darwin Core standards.

Additional Metadata

Alternative Identifiers d151bce8-d997-4d3a-87dd-6003517b7b71