Forest and steppe communities of Kazakh Uplands: vegetation plot dataset

Kazakhstan is usually associated with steppes; only 5% of the territory is covered by forests. The forest areas are small and located in the Altai and Trans-Ili Alatau mountains, as well as the northern border of the country. Forest "oases" are also present in Central Kazakhstan. These are unique and almost unexplored relict forest sites, historically linked to the boreal forests of Altai and Siberia. These forests are relatively small and placed in isolated areas of the Kazakh Upland mountain ranges, surrounded by vast steppe landscapes. Until now, vegetation data from Central Kazakhstan (especially forest habitats) are still limited in digital repositories. Therefore, the aim of this work was to summarise, standardise and publish the vegetation relevés collected in Central Kazakhstan. The presented dataset is the first open-access relevé collection that contributes to the knowledge of the current vegetation of the Kazakh Uplands, Central Kazakhstan. It provides 117 vegetation plots (3473 associated occurrences) sampled in 2014 and 2022–2025. The data cover two IUCN nature-protected areas (Karkaraly and Buiratau State National Natural Parks), Ulytau State National Natural Park and the Ortau and Bektauata Mountains, as well as ecologically valuable nature areas without protected status. Data on invasive vascular plant species occurrences are provided for the first time.

Authors

Institutions

Publication Details

Journal
Biodiversity Data Journal
Published
2026-08-17
DOI
https://doi.org/10.3897/bdj.14.e189416
Primary Topic
Soil and Environmental Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forest and steppe communities of Kazakh Uplands: vegetation plot dataset

Natalya Ivanova, Sayagul Tyrzhanova, Margarita Ishmuratova
Biodiversity Data Journal
Soil and Environmental Studies
article

Forest and steppe communities of Kazakh Uplands: vegetation plot dataset

Natalya Ivanova, Sayagul Tyrzhanova, Margarita Ishmuratova
article en

Abstract

Kazakhstan is usually associated with steppes; only 5% of the territory is covered by forests. The forest areas are small and located in the Altai and Trans-Ili Alatau mountains, as well as the northern border of the country. Forest "oases" are also present in Central Kazakhstan. These are unique and almost unexplored relict forest sites, historically linked to the boreal forests of Altai and Siberia. These forests are relatively small and placed in isolated areas of the Kazakh Upland mountain ranges, surrounded by vast steppe landscapes. Until now, vegetation data from Central Kazakhstan (especially forest habitats) are still limited in digital repositories. Therefore, the aim of this work was to summarise, standardise and publish the vegetation relevés collected in Central Kazakhstan. The presented dataset is the first open-access relevé collection that contributes to the knowledge of the current vegetation of the Kazakh Uplands, Central Kazakhstan. It provides 117 vegetation plots (3473 associated occurrences) sampled in 2014 and 2022–2025. The data cover two IUCN nature-protected areas (Karkaraly and Buiratau State National Natural Parks), Ulytau State National Natural Park and the Ortau and Bektauata Mountains, as well as ecologically valuable nature areas without protected status. Data on invasive vascular plant species occurrences are provided for the first time.

Biodiversity Data JournalVol. 14
Karaganda Buketov University (KZ), Institute of Mathematical Problems of Biology (RU), Keldysh Institute of Applied Mathematics (RU)
Life in Land
Openalex Percentile: Top 12%
Soil and Environmental Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.