Checklist of Vascular Plant Species in Communities Hosting the Narrow-Range Kazakh Endemic Tanacetum ulutavicum Tzvelev
Abstract
This dataset documents the species richness and floristic composition of plant communities associated with the narrow-range Kazakh endemic Tanacetum ulutavicum Tzvelev in the Ulytau low-mountain massif (Ulytau Region, Central Kazakhstan). The core of the dataset is linked to the Important Plant Area (IPA) “Ulytau petrophytic steppes with Tanacetum ulutavicum”, proposed on the basis of field surveys conducted in 2025.Most vegetation descriptions are located within the boundaries of the IPA “Ulytau petrophytic steppes with T. ulutavicum”, while a smaller portion originates from nearby localities in the Ulytau massif that fall outside the proposed IPA polygons but represent the same ecological context of petrophytic steppe mosaics.The target species forms local population patches of up to approximately 1,200 m², with densities ranging from 0.06 to 3 individuals per m², typically occurring on rocky substrates and petrophytic microhabitats.The associated communities exhibit relatively high floristic richness (95 vascular plant species) and include nationally protected and regionally significant taxa (e.g., national Red Book’ Tulipa patens, T. suaveolens, and subendemic species such as Artemisia semiarida and Atraphaxis decipiens).The dataset is intended to support site-based conservation planning and management, including IPA/KBT documentation, biodiversity monitoring, and future Red List and habitat assessments in the petrophytic steppe landscapes of Central Kazakhstan.Note on checklist reliabilitySpecies names and authorships were harmonised and updated using modern nomenclatural resources (POWO/WCVP/IPNI) and regional floras and identification guides. Records with uncertain identification or unclear locality attribution should be treated as provisional and may be corrected as new vouchers, expert revisions, or additional surveys become available.
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset