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Distribution of vascular plants north of Lake Baikal: a new, open access dataset

BACKGROUND: The area north of Lake Baikal has been poorly studied. Moreover, most of the studies conducted in this region were focused on mountain ridges or river valleys. This region includes a part of Baikal-Amur Mainline (BAM), a broad-gauge railway in the centre of Siberia, Russia. The railway i...

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Autores principales: Sandanov, Denis V., Brianskaia, Elena P., Batotsyrenov, Eduard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692304/
https://www.ncbi.nlm.nih.gov/pubmed/34949957
http://dx.doi.org/10.3897/BDJ.9.e77409
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author Sandanov, Denis V.
Brianskaia, Elena P.
Batotsyrenov, Eduard A.
author_facet Sandanov, Denis V.
Brianskaia, Elena P.
Batotsyrenov, Eduard A.
author_sort Sandanov, Denis V.
collection PubMed
description BACKGROUND: The area north of Lake Baikal has been poorly studied. Moreover, most of the studies conducted in this region were focused on mountain ridges or river valleys. This region includes a part of Baikal-Amur Mainline (BAM), a broad-gauge railway in the centre of Siberia, Russia. The railway is an alternative route of the Trans-Siberian Railway; BAM starts in southern Siberia (Taishet station of Irktusk Oblast), passes through the northern part of Lake Baikal and finishes in the Russian Far East (Sovetskaya Gavan station of Khabarovsky Krai). BAM has four connections with the Trans-Siberian Railway and is the centre of economic development for many regions of Russia. Maya Ivanova and Alexandr Chepurnov summarised the existing floristic information for this region in detailed species distribution maps which they published in the book “Flora of the western part of developing regions of Baikal-Amur Mainline (BAM)” (1983). After publishing this book, very few floristic studies have been performed in the study region. All available botanical information is still accumulated in a number of printed papers or books with limited circulation, which are not widely known to the international scientific community. NEW INFORMATION: We have digitised the point distribution maps from the book of Ivanova and Chepurnov and georeferenced all occurrence and sampling localities. The resulting dataset includes 9972 occurrences for 770 vascular plant species and subspecies from the area north of Lake Baikal. Additionally, the dataset includes information on the distribution of 43 rare and endangered species with 366 occurrences. From our point of view, the dataset makes a contribution to the global biodiversity data mobilisation, providing plant species distribution data for such a remote mountainous area.
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spelling pubmed-86923042021-12-22 Distribution of vascular plants north of Lake Baikal: a new, open access dataset Sandanov, Denis V. Brianskaia, Elena P. Batotsyrenov, Eduard A. Biodivers Data J Data Paper (Biosciences) BACKGROUND: The area north of Lake Baikal has been poorly studied. Moreover, most of the studies conducted in this region were focused on mountain ridges or river valleys. This region includes a part of Baikal-Amur Mainline (BAM), a broad-gauge railway in the centre of Siberia, Russia. The railway is an alternative route of the Trans-Siberian Railway; BAM starts in southern Siberia (Taishet station of Irktusk Oblast), passes through the northern part of Lake Baikal and finishes in the Russian Far East (Sovetskaya Gavan station of Khabarovsky Krai). BAM has four connections with the Trans-Siberian Railway and is the centre of economic development for many regions of Russia. Maya Ivanova and Alexandr Chepurnov summarised the existing floristic information for this region in detailed species distribution maps which they published in the book “Flora of the western part of developing regions of Baikal-Amur Mainline (BAM)” (1983). After publishing this book, very few floristic studies have been performed in the study region. All available botanical information is still accumulated in a number of printed papers or books with limited circulation, which are not widely known to the international scientific community. NEW INFORMATION: We have digitised the point distribution maps from the book of Ivanova and Chepurnov and georeferenced all occurrence and sampling localities. The resulting dataset includes 9972 occurrences for 770 vascular plant species and subspecies from the area north of Lake Baikal. Additionally, the dataset includes information on the distribution of 43 rare and endangered species with 366 occurrences. From our point of view, the dataset makes a contribution to the global biodiversity data mobilisation, providing plant species distribution data for such a remote mountainous area. Pensoft Publishers 2021-12-14 /pmc/articles/PMC8692304/ /pubmed/34949957 http://dx.doi.org/10.3897/BDJ.9.e77409 Text en Denis V. Sandanov, Elena P. Brianskaia, Eduard A. Batotsyrenov https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Data Paper (Biosciences)
Sandanov, Denis V.
Brianskaia, Elena P.
Batotsyrenov, Eduard A.
Distribution of vascular plants north of Lake Baikal: a new, open access dataset
title Distribution of vascular plants north of Lake Baikal: a new, open access dataset
title_full Distribution of vascular plants north of Lake Baikal: a new, open access dataset
title_fullStr Distribution of vascular plants north of Lake Baikal: a new, open access dataset
title_full_unstemmed Distribution of vascular plants north of Lake Baikal: a new, open access dataset
title_short Distribution of vascular plants north of Lake Baikal: a new, open access dataset
title_sort distribution of vascular plants north of lake baikal: a new, open access dataset
topic Data Paper (Biosciences)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692304/
https://www.ncbi.nlm.nih.gov/pubmed/34949957
http://dx.doi.org/10.3897/BDJ.9.e77409
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