Occurrences of vascular plants in the western part of Baikal-Amur Mainline

Latest version published by Institute of General and Experimental Biology of SB RAS on 07 December 2021 Institute of General and Experimental Biology of SB RAS

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Northern part of Lake Baikal has very sparse botanical studies which are usually concentrated on investigations of mountain ridges or river valleys. Floristic information for this region with detailed distribution maps of vascular plant species is summarized in the book by M.M. Ivanova and A.A. Chepurnov “Flora of western part of developing regions of Baikal-Amur Mainline (BAM)” (Ivanova and Chepurnov 1983). All available maps from this book have been digitized and localities of vascular plants organized in separate dataset.

The dataset includes 9972 occurrences for 770 vascular plant species and subspecies at the northern part of Lake Baikal (western part of Baikal-Amur Mainline). The dataset contains information on species distribution in the hard accessible mountainous region with very few floristic studies.

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 9,972 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.


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How to cite

Researchers should cite this work as follows:

Sandanov D, Brianskaia E (2021): Occurrences of vascular plants in the western part of Baikal-Amur Mainline. v1.15. Institute of General and Experimental Biology of SB RAS. Dataset/Occurrence. http://gbif.ru:8080/ipt/resource?r=vasc_plants_north_baikal&v=1.15


Researchers should respect the following rights statement:

The publisher and rights holder of this work is Institute of General and Experimental Biology of SB RAS. 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: 1e7b25d0-ec44-4fa8-8338-6e38e7a11214.  Institute of General and Experimental Biology of SB RAS publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.


Occurrence; flora; Lake Baikal; vascular plants; digitizing printed maps; dataset; Observation


Denis Sandanov
  • Metadata Provider
  • Author
  • Originator
  • Point Of Contact
Senior Researcher
Institute of General and Experimental Biology of SB RAS
Sakhyanovoi str., 6
670047 Ulan-Ude
Republic of Buryatia
Elena Brianskaia
  • Author
  • Originator
  • Point Of Contact
Junior Researcher
Institute of General and Experimental Biology of SB RAS
Sakhyanovoi str., 6
670047 Ulan-Ude
Республика Бурятия

Geographic Coverage

Study area includes the western part of BAM from Ust-Kut town at the west and Chara depression at the east. It is a mountainous region involving several ranges of Stanovoy Highlands (Upper Angara, Northern Muya, Southern Muya, Kodar, Udokan), neighbor Baikal and Barguzin ranges. The main river of the study area is Lena with its right tributary river Vitim. The latter one has left (Muya, Mamakan, Mama) and right (Kalar and Kalakan) tributaries within study area. Upper Angara river, which flow into Lake Baikal and right tributary of Lena (river Chaya) have their sources at the western part of Stanovoy Highlands.

Bounding Coordinates South West [53.48, 104.23], North East [58.05, 121.29]

Temporal Coverage

Formation Period 1912/1982

Project Data

The project involves different disciplines: flora and plant taxonomy, plant biology and population ecology, the vegetation of Baikal region, fauna and ecology of insects, ecology and geography of vertebrates.

Title Biota of terrestrial ecosystems of Baikal region: composition, structure, eco-geographic patterns
Identifier 121030900138-8
Funding Russian Federal Budget
Study Area Description Baikal Region, Russia

The personnel involved in the project:

Sampling Methods

In total, 770 maps were scanned from the book. Using the position of Lake Baikal and neighbor rivers we define projection of the maps and adjusted all of them to unified coordinate system. Digitalization was performed in QGIS 3.10 software using of georeferencing tool. Source raster distribution maps were georeferenced by snapping control points to destination vector shapefile, which in our case was the contour of Lake Baikal and neighbor rivers. Control points linked raster maps to destination shapefile which resulted in transformation of the maps according to spatial projection of destination features (WGS 1984). Subsequently, species distribution locations were digitized from each map. Coordinates of each location were calculated in attribute table.

Study Extent Study area is situated on the northern edges of three regions of Russia: Irkutsk Oblast, Republic of Buryatia, and Zabaikalsky Krai. Some of species occurrences at the northwestern part of Lake Baikal, including Baikal Range at the present time partially located at Baikal-Lena nature reserve. Opposite part of Baikal shoreline occupied by Barguzin nature reserve, Zabaikalsky national park, and Frolikhinsky Sanctuary. Northeastern part of Irkutsk Oblast covered by Vitimsky reserve which border at the south with national park Kodar on the territory of Zabaikalsky Krai.
Quality Control Final examination of the digitized species distribution maps we performed in QGIS 3.10. For each species we compared the output digitized occurrences with the original maps. The majority of occurrences digitized consistently with the printed maps. The diameter of dot designating species occurrences is equal to 16 km. According to this we estimate the coordinate uncertainty as 20 km for all studied species.

Method step description:

  1. Digitalization of species distribution maps was performed in QGIS software by means of georeferencing tool. Output digitized maps were compared to the original.

Additional Metadata

Alternative Identifiers 1e7b25d0-ec44-4fa8-8338-6e38e7a11214