The "Flora of Russia" project on iNaturalist brought together professional scientists and amateur naturalists from all over the country. Over 10,000 people were involved in the data collection. Within 20 months, the participants accumulated 750,143 photo observations of 6,857 species of the Russian flora. This constitutes the largest dataset of open spatial data on the country’s biodiversity and a leading source of data on the current state of the national flora. About 87% of all project data, i.e. 652,285 observations, are available under free licences (CC0, CC-BY, CC-BY-NC) and can be freely used in scientific, educational and environmental activities.
The population structure of endangered species is one of the main criteria for assessing their state in their habitats. Representatives of the Ericaceae family are sensitive to environmental changes, including anthropogenic pressure; thus, they are considered the indicator species in assessing phytocenose stability. The population structure and density of the threatened species green-flowered wintergreen, Pyrola chlorantha Sw., have been described at the southern range margin (south-east of the European part of Russia, Samara Region). The observations were performed here in 2006–2021, and the main parameters of the age and spatial structure of P. chlorantha populations were revealed for the first time. Green-flowered wintergreen populations were studied at monitoring study sites and at temporarily established study plots. A bush part (ramet) was set as a counting unit. In total, 27 sub-populations were surveyed, with 1520 individuals registered. The age structure of populations was characterized using common demographic indicators: the recovery index and the population age index. The age structure of the population was associated with the efficiency of both vegetative and seed reproduction. Generally, the share of pre-generative individuals was 32.3%, generative, 66.9%, and senile, 1.8%. The studied populations were stable due to low anthropogenic impact at the growth sites.
In 2004, researchers from the Department of phytodiversity of the Institute of the Ecology of the Volga River Basin of the Russian Academy of Sciences (Togliatti), the chair of botany of Samara State Academy of Social Sciences and Humanities (Samara) and the Department of the biogeography and biodiversity monitoring of the Institute of Steppe UB RAS (Orenburg) started working on the development of the Vegetation Database of the Volga and the Ural Rivers Basins (GIVD ID EU-RU-003). This database uses TURBOVEG. At present the database contains data on plant communities of forest-steppe and steppe zones within Ulyanovsk, Samara, Saratov, Orenburg, Saratov and Astrachan regions. Information is collected in two groups with separate data on geobotanical relevés and on the syntaxa uniting these relevés. In the first case, each geobotanical relevé includes the following parameters: the species composition with projective cover for each species of plants; total projective cover; plot size; ecotope and location, where the relevé was made; information on publication of the relevé (the reference, table number, relevé number in the table); syntaxon which the relevé belongs to; its position in the SynBioSys Europe syntaxa system; geographical coordinates. In the second case, each syntaxon is provided with its name, position in the SynBioSys Europe syntaxa system, number of relevés and the permanence of each species. Currently, the database has information of halophytic (Thero-Salicornietea, Festuco-Puccinellietea), steppe (Festuco-Brometea), meadow (Phragmito-Magnocaricetea, Molinio-Arrhenetheretea) vegetation and karst relief vegetation (Festuco-Brometea, Querco-Fagetea, Galio-Urticetea, Trifolio-Geranietea sanguinei) in the Volga and the Ural River Basins within forest-steppe and steppe zones, and includes results of our own research activities (since 1994) and data from literature sources (since 1968). The data is collected in each of the institutions mentioned above, and then the data is exchanged and summarized. The database is connected toEuropean Syntaxonomical Biological System SynBioSys Europe (http://www.synbiosys.alterra.nl/synbiosyseu) where the data on 917 published relevés and 127 syntaxa has been currently sent to.
The features of the ontogenetic structure of cenopopulations of a rare species Hedysarum gmelinii Ledeb. (Fabaceae) were studied on the periphery of its range (the Middle Volga region and the Bashkir Cis-Urals) and in its central part (the Altai Mountains region). Types of cenopopulations were determined according to the “delta-omega” criterion: in the Bashkir Urals, they were mostly young, in the Middle Volga region, they were mature, in the Altai Mountains, they were maturing. The proportion of pregenerative individuals in populations increases in habitats with high moisture levels. Anthropogenic load (mainly in the form of grazing) had a greater effect on the number and density of individuals, rather than on the type of ontogenetic spectrum of cenopopulations.
The "Flora of Russia" project on iNaturalist brought together professional scientists and amateur naturalists from all over the country. Over 10,000 people are involved in the data collection. Within 20 months the participants accumulated over 750,000 photo observations of 6,853 species of the Russian flora. This constitutes the largest dataset of open spatial data on the country’s biodiversity and a leading source of data on the current state of the national flora. About 85% of all project data are available under free licenses (CC0, CC-BY, CC-BY-NC) and can be freely used in scientific, educational and environmental activities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.