Browse
Submit Data
Databases
API
Help

Dataset Information

30 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Vascular plant occurrences in grasslands of Central Forest Nature Reserve (Russia): a dataset.

ABSTRACT:

Background

Here we present the sampling event dataset that contributes to studying the flora of grasslands in Central Forest State Nature Biosphere Reserve (part of the UNESCO World Network of Biosphere Reserves), Tver Oblast, Russia. The Reserve is located in the SW part of the Valdai Upland within the main Caspian-Baltic watershed of the Russian plain (Latitude: 56° 26' - 56° 39' N, Longitude: 32° 29' - 33° 01' E). The territory of Central Forest Reserve belongs to the subzone of subtaiga.

New information

The dataset includes the occurrences of vascular plant species in four types of grasslands from 209 vegetation plots (8,506 associated occurrences), collected in 2013-2014. The dataset described in this paper has never been published before.As the grasslands in Central Forest State Nature Biosphere Reserve are relatively unstudied, we are providing a new comprehensive dataset on the vascular plant species occurrences in the grasslands of the Reserve. The dataset contains representative information on floristic composition of plant communities in localities with assigned GPS coordinates. As the vegetation of the Reserve is typical of the subtaiga subzone, the results of analysing this dataset can be useful for grassland management in the whole subtaiga subzone.During this study, we found one vascular plant species included in the Red Data Book of the Russian Federation, three species from the Red Data Book of Tver Oblast, as well as 10 alien vascular plant species for the Reserve. These data, especially, the occurrences of protected and alien species, contribute to our knowledge of species composition of the grasslands of the Reserve.

SUBMITTER: Cherednichenko OV

PROVIDER: S-EPMC8683393 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Vascular Plant Herbarium at the Kandalaksha Strict Nature Reserve (KAND), Russia.

Project description:BackgroundThe present-day demand for digital availability of distributional data in biodiversity studies requires a special effort in assembling and editing the data otherwise scattered in paper literature and herbarium collections, which can be poorly accessible or little understood to present-day users and especially automatic data processors. Our project on developing the information resource for the vascular plant flora of Murmansk Region, Russia, includes processing and making digitally available all the data on the taxonomy and distribution of this flora. So far, published distribution maps are limited to the old set in the Flora of Murmansk Region (published in 1953-1966) and the Red Data Book of Murmansk Region (ed. 2, published in 2014). These publications did not take into account the main part of the herbarium collections kept at the Kandalaksha Strict Nature Reserve, which are the basis for numerous local publications that appear scattered and, therefore, little accessible nowadays.New informationWe present a complete dataset of all holdings of vascular plants in the Herbarium of the Kandalaksha Strict Nature Reserve, totalling 10,218 specimens collected during 1947-2019, which are referable to 764 species and 19 subspecies. All specimens were georeferenced with the utmost precision available. This dataset offers a complete and dense coverage of the Nature Reserve's territory (islands and adjacent mainland coastal areas of the Barents and White Seas, Murmansk Region and Republic of Karelia, Russia); these data are little represented in herbarium collections elsewhere.

| S-EPMC7725758 | biostudies-literature

Plant occurrences on the Rybachy and the Sredny Peninsulas, Murmansk Region, Russia: a dataset.

Project description:BackgroundThe Rybachy and the Sredny Peninsulas are the northernmost part of Murmansk Region in the European part of Russia. While the most part of the Region is covered by boreal forest, the Peninsulas are covered by tundra. The vegetation and flora of Murmansk Region are well studied at present. The Peninsulas were first studied in 1829 by a Finnish botanist Jacob Fellman. The most comprehensive research was conducted in the late 19th - early 20th century. Nevertheless, the species composition of the Peninsulas' flora has changed significantly over the past 100 years due to land use and climate change. The aim of this dataset is to make the data on species occurrences for this territory digitally available via GBIF. To date, more or less complete digital floristic data were provided only by the project for digitising the book "Flora of Murmansk Region" (1953-1966).The present dataset is a part of the project studying the vegetation of the territory. We recorded the information about species frequency and distribution using the relevé method.New informationWe present a dataset based on 991 relevés from all vegetation types, which includes 16,289 records of georeferenced plant occurrences that belong to 568 species. There are 23 species of lichens (Ascomycota), 142 species of mosses (Bryophyta), three species of liverworts (Marchantiophyta) and 400 species of vascular plants (Tracheophyta) in the present dataset. The taxonomic diversity and unevenness result from the vegetation sampling. The data were collected in 2008, 2009, 2011, 2014 and 2015. The dataset cannot be considered as a complete vegetation database or a flora checklist, but it contains the occurrences and frequencies of the species from all the vegetation types.

| S-EPMC8758659 | biostudies-literature

The first dataset of vascular plant species occurrences on kurgans in Southern Ukraine.

Project description:BackgroundThe dataset contains the records of vascular plant species occurrences and distribution on Ukrainian kurgans (burial mounds, barrows), located in various zones of steppe vegetation: desert steppe, grass steppe, herb-rich grass steppe and forest steppe. Much of the studied kurgans belongs to the territory historically known as the "Wild Fields". Besides the occurrence data, the publication presents a comparison of the floristic richness amongst five microhabitats distinguished on kurgans (top, northern slope, northern bottom, southern slope, and southern bottom) and amongst kurgans located in different steppe zones. The Original publication includes 721 species of vascular plants) within four vegetation zone (desert steppe, grass steppe, herb-rich grass steppe and forest steppe). The report shows also sozological value of kurgans in southern Ukraine, as they play a role of steppe habitat islands in a landscape almost completely transformed to arable land. The obtained flora inventory was analyzed in various aspects. This occurrence dataset is the first public record of species from kurgans in Ukraine.New informationThis is the first occurrence dataset from kurgans in Ukraine. The dataset includes 28,456 occurrences of vascular plants recorded in the years 2004-2009 on Ukrainian kurgans. The dataset includes information about 1446 occurrences of rare species on kurgans (69 species). It contains information on the kurgan flora within four vegetation zone (desert steppe, grass steppe, herb-rich grass steppe and forest steppe) on the area ca. 32000 km2. Of the approximately 450 mounds visited, the ones with the best preserved vegetation cover were selected. For each of 106 investigated mounds, floristic lists from five microhabitats were compiled - 530 lists in total.

| S-EPMC9836458 | biostudies-literature

Checklist of the Coleoptera of Mordovia State Nature Reserve, Russia.

Project description:All 2,145 species of Coleoptera from 88 families known to occur in Mordovia State Nature Reserve, Russia, are listed, along with their author(s) and year of description using the most recent classification framework. Adventive species for European Russia are indicated. There are 31 adventive species in the reserve, comprising 1.44% of the total beetle fauna.

| S-EPMC7452910 | biostudies-literature

Ground beetle fauna (Coleoptera, Carabidae) of Mordovia State Nature Reserve (Russia)

Project description:Abstract Background Protected areas are organised in different climatic zones, which usually include typical ecosystems characteristic of certain climatic zones. In most cases, protected areas are biodiversity hotspots. These areas are benchmarks in terms of nature conservation and to determine their biological diversity is becoming an important task. It is important to investigate the carabid family of protected areas within the framework of understanding the overall biological diversity of these systems. In addition, ground beetles, as one of the largest groups of ground-based inhabitants, are indicators of the state of ecosystems and serve as markers of their well-being. New information We present 2,969 new occurrence records comprising 226 species of Carabidae, belonging to eight subfamilies, from the Mordovia State Nature Reserve (central Russia). Ten species are listed for the first time for the Mordovia State Nature Reserve fauna after previous research: Cicindelamaritima, Bembidionstriatum, Dyschiriusangustatus, Dyschiriusarenosus, Notiophilusaestuans, Bembidionargenteolum, Bembidionvelox, Bradycelluscaucasicus, Cymindisangularis and Syntomustruncatellus, five of which were first recorded for the Republic of Mordovia (Egorov et al. 2020). Previously, this information was not published anywhere and we wanted to make it available to everyone by embedding it in the global database on biodiversity (GBIF).

| S-EPMC8560730 | biostudies-literature

Biodiversity of Coleoptera (Insecta) in Mordovia State Nature Reserve (Russia) using fermental traps.

Project description:BackgroundProtected areas are unique ecosystems that are minimally affected by anthropogenic activities. Therefore, in many cases, they are refugia and relevance of faunistic research is undeniable here. A simple method of catching insects, such as trapping with the help of fermental traps, was used in this area for the first time. The authors of the dataset used this method from 2018 to 2021. One thousand and fifty-one traps of our own design were installed. The dataset includes data on 367 species from 52 families (6,497 records of 44,600 specimens). Ten species were dominant in the traps (Cryptarchastrigata, Protaetiamarmorata, Glischrochilusgrandis, Glischrochilushortensis, Soroniagrisea, Rhagiummordax, Lepturathoracica, Lepturaquadrifasciata, Quediusdilatatus and Protaetiafieberi). These species accounted for 76.9% of all individuals in the total amount of captured specimens. Cryptarchastrigata was the most numerous species (28.8% of the total) and the most frequently encountered species (64.9%). The greatest species diversity was recorded in the families Cerambycidae (53 species), Elateridae and Curculionidae (39 species each), Nitidulidae and Coccinellidae (22 species each). The dataset contains information on the occurrence of 15 rare species.New informationWe have recently published a checklist of the Coleoptera of Mordovia State Nature Reserve (Egorov et al. 2020). It included 2,145 species from 88 families. However, the published list did not contain information about the occurrence of various species of beetles, especially caught in recent years. Part of this list contained information about species collected using fermental traps. However, the list of species did not provide information about specific locations.

| S-EPMC9836411 | biostudies-literature

Soil fertility evaluation and spatial distribution of grasslands in Qilian Mountains Nature Reserve of eastern Qinghai-Tibetan Plateau.

Project description:The study assessed the overall soil characteristics of grasslands on Qilian Mountains and rated the soil nutrient status with classification standard of the second national soil survey of China. Nemerow index method was used to evaluate the soil fertility of different grassland types. GIS was used to analyze the spatial distribution of the soil nutrients and provided a database for the grassland's ecological protection and restoration. The study graded the soil organic matter (SOM), total N, and available K at level 2 (high) or above for most regions, available soil-P at level 4, while the soil bulk density, total porosity and pH were 0.77-1.32 g cm-3, 35.36-58.83% and 7.63-8.54, respectively. The rank of comprehensive soil fertility index was temperate steppe (TS) > alpine meadow (AM) > alpine steppe (AS) >upland meadow (UM) >alpine desert (AD)> lowland meadow (LM)> temperate desert steppe (TDS)> temperate desert (TD). The areas with high, medium and low soil fertility accounted for 63.19%, 34.24% and 2.57% of the total grassland area. Soil fertility of different grassland types had different main limiting factors, for instance, the pH, total N and SOM were the main factors limiting soil fertility in LM, while pH and available P were the main factors limiting soil fertility in UM, AM, TS and AS. In summary, the grassland soil fertility was generally at the mid-upper level, and the main limiting factors were found in the different types of the grasslands and their spatial distributions were figured out. Our findings also indicated that the typical grasslands and meadows may require phosphorus application, while for desert grasslands, both nitrogen and phosphorus were required to improve their comprehensive soil fertility and grassland productivity.

| S-EPMC8074837 | biostudies-literature

Epigenetics of Yakutia and Central Russia regions

Project description:Lobachevsky University DNAm dataset. Whole blood DNA Methylation (EPIC) profiles from healthy samples from two regions: central Russia (131 samples) and Yakutia (114 samples) obtained in the Laboratory of System Medicine for Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Russia Dataset contains DNAm data from 245 healthy control samples from two regions: central Russia (131) and Yakutia (114). The following characteristics are available for all samples: sex, age, region. Healthy participants in the central Russia region were recruited in 2019–2022. Yakutian participants we recruited in 2022. All measurements were performed at the Laboratory of System Medicine for Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Russia.

2023-12-14 | GSE234461 | GEO

Occurrence dataset of birds in Sihong Hongze Lake Wetlands National Nature Reserve in China.

Project description:BackgroundHongze Lake is China's fourth largest freshwater lake and is also an important habitat for hundreds of thousands of migratory birds on the East Asian-Australian Flyway (EAAF). Sihong Hongze Lake Wetlands National Nature Reserve is located on the northwest of Hongze Lake, Sihong County, Jiangsu Province. The Reserve is a protected large area of natural lake wetlands, marsh wetlands and riverine wetlands and used as a stopover and wintering habitats for migratory birds. Previous studies have conducted bird diversity and temporal-spatial variation in this Reserve, but only for species of Anseriformes. There is still a lack of a comprehensive dataset on the number of bird species and individuals in this Reserve throughout the year. Our study was conducted from July 2020 to June 2021 to observe bird species composition and individual numbers at Sihong Hongze Lake Wetlands National Nature Reserve and provides an occurrence dataset with detailed species and geographic information.New informationThis occurrence dataset is the first public record of birds in Sihong Hongze Lake Wetlands National Nature Reserve for a whole year, which includes the taxonomic information, location information, number, investigation date and endangered level for each species. All data have been published on GBIF.

| S-EPMC10709814 | biostudies-literature

Reptile occurrences data in the Volga River basin (Russia).

Project description:Background:The Volga basin is one of the most industrially-developed regions of Russia with a high degree of anthropogenic impact on natural ecosystems. Human influence negatively affects the species diversity and number of animals, including reptiles. There are no endemic species in the reptile fauna of the Volga basin. The herpetofauna of the region makes up 25% of the reptile fauna of Russia (Dunaev and Orlova 2017). We began to study the fauna of reptiles and their distribution in the Volga basin in 1988. Although we registered 20 reptile species in the Volga basin to date, apparently this is not a complete list of species in the region (Bakiev et al. 2004, Bakiev et al. 2009a, Bakiev et al. 2015, Kirillov et al. 2020). The distribution of reptiles in this region is not fully understood. New information:Our dataset contains information on reptile occurrences in the Volga River basin. The dataset is based on original research by the staff of the Laboratory of Herpetology and Toxinology and Laboratory of Population Ecology of the Institute of Ecology of the Volga River basin of the Russian Academy of Sciences and Joint Directorate of the Mordovia State Nature Reserve and National Park "Smolny". A total of 5,086 occurrences of 20 species are published for the first time with georeferencing. Many of these reptiles are listed in regional Red Data Lists. The European Pond Turtle Emys orbicularis (Linnaeus, 1758) is included in the IUCN Red List with the category "Near Threatened".

| S-EPMC7648045 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data