scholarly journals Genus Allium in CSBG Digital Herbarium

2020 ◽  
Vol 24 ◽  
pp. 00042
Author(s):  
Nataliya Kovtonyuk ◽  
Irina Han ◽  
Evgeniya Gatilova ◽  
Nikolai Friesen

Two herbarium collections (NS and NSK) of the Central Siberian Botanical Garden SB RAS keep about 740,000 specimens of vascular plants, collected in Siberia, Russian Far East, Europe, Asia and North America. Genus Allium s. lat. Is presented by 6224 herbarium sheets, all of them were scanned using international standards: at a resolution of 600 dpi, the barcode for each specimen, 24-color scale and scale bar. Images and metadata are stored at the CSBG SB RAS Digital Herbarium, generated by ScanWizard Botany and MiVapp Botany software (Microtek, Taiwan). Datasets were published via IPT at the Global Biodiversity Information Facility portal (gbif.org). In total 207 species of the genus Allium are placed in the CSBS Digital Herbarium, which includes representatives from 13 subgenera and 49 sections of the genus. 35 type specimens of 18 species and subspecies of the genus Allium are hosted in CSBG Herbarium collections.

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Evgeniya A. Gatilova ◽  
◽  
Irina V. Han ◽  
Nataliya K. Kovtonyuk ◽  
◽  
...  

A complete inventory of the Russian Far East section of the vascular plants collection stored at the Krasnoborov Herbarium (NS) of the Central Siberian Botanical Garden SB RAS was made. As a result, 4423 unrecorded herbarium sheets and 457 previously unregistered species were added to the collection. Type specimens of 4 taxa which had been described from the Russian Far East were found and digitized: Anemone tamarae Kharkev., Chrysosplenium schagae Kharkev. & Vyschin, Potentilla anjuica V.V. Petrovsky и Tephroseris schistosa (Kharkev.) Barkalov. The updated catalogue of the collection, consisting of 3248 taxa, was published on the Global Biodiversity Information Facility portal, GBIF.org. A taxonomic and historical analysis of the collections, as well as a list of the leading collectors, is presented.


2021 ◽  
Vol 9 ◽  
Author(s):  
Nataliya Kovtonyuk ◽  
Irina Han ◽  
Evgeniya Gatilova

According to the data in Index Herbariorum as of 1 December 2020, there are 3426 active herbaria in the world, containing 396,204,891 specimens and 124 herbaria in Russia with more than 16,175,000 specimens. The Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (CSBG SB RAS, Novosibirsk), founded in 1946, historically has two herbarium collections (NS and NSK). Currently these collections contain about 800,000 herbarium specimens comprising vascular plants, mosses, lichens and fungi gathered from all over the world. Digitisation of the NSK type specimens of vascular plants began in 2014 by using the special scanner Herbscan. In 2018, we started digitisation of the NS and NSK collections by using ObjectScan 1600. Pteridophytes (ferns, lycophytes and their extinct free-sporing relatives) are a diverse group of plants that today comprises approximately 12,900 species and plays a major role in terrestrial ecosystems. All herbarium specimens of ferns, collected over 170 years between 1851 and 2021 and stored in the NS and NSK collections, were digitised in 2021, placed at the CSBG SB RAS digital Herbarium (http://herb.csbg.nsc.ru:8081) and published through GBIF. Twenty families of Polypodiopsida, but not Equisetaceae, were included in this dataset. Family Ophioglossaceae was digitised and published in GBIF as a separate dataset. By August 2021, more than 62,600 specimens with good quality images and fully-captured label transcriptions had been placed at CSBG SB RAS Digital Herbarium. A total of 7,758 records of fern occurrences of 363 taxa in the world with 92% geolocations including 5100 records from Russia with 98.7% geolocations that are new for GBIF.org in 2021 were entered. In the dataset specimens from 43 countries of Europe, Asia, America, Africa and Australia (Oceania), 89% of them from Russia, are presented.


2021 ◽  
Vol 9 ◽  
Author(s):  
Aleksey V. Vaganov ◽  
Alexander I. Shmakov ◽  
Sergey V. Smirnov ◽  
Nadezda A. Usik ◽  
Alena A. Shibanova ◽  
...  

The herbarium of the South-Siberian Botanical Garden of Altai State University (ALTB) houses the largest collection of plants from the Altai Mountain Country (AMC), an area that extends across Russia, Kazakhstan, Mongolia and China. The collection of ALTB includes more than 450,00 specimens, making it the seventh largest in Russia and the fourth largest amongst Russian university herbaria. Altai State University (ASU), the home of ALTB, is one of the most important centres of academic education and research in Siberia and the Russian Far East. It is a sociocultural centre that provides a distinguished learning environment for undergraduate and graduate students in many scholarly and professional fields, meeting the needs of today's knowledge-based post-industrial society and contributing to regional development. It actively promotes international cooperation and strategic collaboration amongst countries of the AMC in the fields of science, education and culture. In particular, the activities of the South-Siberian Botanical Garden include: development of measures to protect rare and endangered plant species, research on the flora and vegetation of the AMC, preparation and publication of a multi-volume work "Flora Altaica", monographic study of individual plant groups, conducting laboratory classes, summer practicals and special courses. The main purpose of this article is to attract the attention of the scientific community to the botanical research of transboundary territory of the Altai Mountain Country (Russia, Kazakhstan, China and Mongolia) and to the future development of digital plant collections in partnership with Global Biodiversity Information Facility (GBIF). The Virtual Herbarium ALTB (Russian interface - altb.asu.ru) is the largest digital collection of plants from the transboundary territory of the Altai Mountain Country and the main source of primary material for the "Flora Altaica" project (http://altaiflora.asu.ru/en/). Since 2017, when Altai State University became a GBIF data publisher, data from the Virtual Herbarium ALTB has been exported to the dataset "Virtual Herbarium ALTB (South-Siberian Botanical Garden)" in GBIF. Currently, it includes images and data from 22,466 vascular plants, of which 67% have geographic coordinates (accessed on 30.03.2021). Most of the specimens have been collected since 1977, with the most intensive collecting years being 1995–2008. In 2019, the label-data table of the Virtual Herbarium ALTB was modified to bring it into conformity with the Darwin Core specification (http://altb.asu.ru/). This effectively solved the major impediment to sharing plant diversity data from the AMC and adjacent regions in a multilingual environment.


Turczaninowia ◽  
2021 ◽  
Vol 24 (4) ◽  
pp. 186-201
Author(s):  
Zoya V. Kozhevnikova

The article provides information on twelve new species of alien plants for the flora of the Primorye Territory, assesses the prospects for their further settlement. Data on new and confirmed localities of the adventive species of vascular plants rare for the regional flora are also provided, including the growth of Myosoton aquaticum confirmed by herbarium collections on the territory of the Russian Far East for a number of years in the only location.


2020 ◽  
Vol 8 ◽  
Author(s):  
Nataliya Kovtonyuk ◽  
Irina Han ◽  
Evgeniya Gatilova

The Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (CSBG SB RAS) is the largest botanical institution in the Asian part of Russia. Founded in 1946, CSBG SB RAS is historically a consortium of two herbarium collections with their own acronyms (NS and NSK) and registration in the Index Herbariorum (Thiers 2020). At present the NS+NSK collections contain about 800,000 herbarium specimens comprising vascular plants (680,000), mosses (25,000), lichens (80,000) and fungi (15,000) gathered, not only in Siberia, but also in the European part of Russia and other parts of the Eurasian and American continents. CSBG SB RAS has the third largest collection in Russia after the Komarov Botanical Institute of RAS (LE) and Moscow State University (MW) collections. The dataset consists of 5,384 records of digitised herbarium specimens of vascular plants belonging to 111 families, collected since the 19th century in 54 administrative regions from the European part of Russia and kept in NS+NSK collections. Herbarium specimens were digitised using two special scanners, both ObjectScan 1600, according to international standards, at 600 dpi, with a barcode, 24-colour scale and spatial scale bar and placed into the CSBG SB RAS Digital Herbarium. For each specimen, the species name, locality, collection date, collector, ecology and revision label are recorded. More than 94% of the records have coordinates that fall within the area of European Russia, west of the Ural Mountains. A total of 5,384 records of vascular plant occurrences with 94.8% geolocations in the territory of the European Russia West of the Ural Mountains were entered.


Author(s):  
P. G. Efimov

The article represents a description of 23 taxa of orchidaceous plants, which are absent from the «Catalogues of the type specimens of the vascular plants, kept in the Herbarium of the Komarov Botanical Institute» in the sector of Central and East Asia and in the sector of Siberia and the Russian Far East. For one more taxon (Listera savatieri Maxim. ex Kom.), which is mentioned in the published catalogues, we cite missing specimens, which are important for the understanding of this critical taxon. For every name, we give a nomenclatural citation, full data from the herbarium labels of type specimens in LE, and the provenance data from the protologue. The majority of the taxa were described from China and Japan, three taxa were described from Russia, and solitary type specimens originate from North Korea, South Korea. Lectotypes of 2 names are designated: Herminium alaschanicum Maxim., and H. alaschanicum var. tanguticum Maxim.


Author(s):  
Amy Davis ◽  
Tim Adriaens ◽  
Rozemien De Troch ◽  
Peter Desmet ◽  
Quentin Groom ◽  
...  

To support invasive alien species risk assessments, the Tracking Invasive Alien Species (TrIAS) project has developed an automated, open, workflow incorporating state-of-the-art species distribution modelling practices to create risk maps using the open source language R. It is based on Global Biodiversity Information Facility (GBIF) data and openly published environmental data layers characterizing climate and land cover. Our workflow requires only a species name and generates an ensemble of machine-learning algorithms (Random Forest, Boosted Regression Trees, K-Nearest Neighbors and AdaBoost) stacked together as a meta-model to produce the final risk map at 1 km2 resolution (Fig. 1). Risk maps are generated automatically for standard Intergovernmental Panel on Climate Change (IPCC) greenhouse gas emission scenarios and are accompanied by maps illustrating the confidence of each individual prediction across space, thus enabling the intuitive visualization and understanding of how the confidence of the model varies across space and scenario (Fig. 2). The effects of sampling bias are accounted for by providing options to: use the sampling effort of the higher taxon the modelled species belongs to (e.g., vascular plants), and to thin species occurrences. use the sampling effort of the higher taxon the modelled species belongs to (e.g., vascular plants), and to thin species occurrences. The risk maps generated by our workflow are defensible and repeatable and provide forecasts of alien species distributions under further climate change scenarios. They can be used to support risk assessments and guide surveillance efforts on alien species in Europe. The detailied modeling framework and code are available on GitHub: https://github.com/trias-project.


2013 ◽  
Vol 6 (2) ◽  
pp. 187-198 ◽  
Author(s):  
E. V. Ivakina ◽  
V. V. Yakubov ◽  
S. V. Osipov

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