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A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia

BACKGROUND: Ryazan Oblast, situated in the central part of European Russia, has a long tradition of biodiversity research. Large distributional, ecological and phenological data on various taxonomic groups are available from this territory, mainly in the form of paper publications items, undigitised...

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Autores principales: Shcherbakov, Andrey V., Kazakova, Marina V., Lyubeznova, Nadezhda V., Pastushenko, Anastasia D., Seregin, Alexey P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575867/
https://www.ncbi.nlm.nih.gov/pubmed/34759732
http://dx.doi.org/10.3897/BDJ.9.e75892
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author Shcherbakov, Andrey V.
Kazakova, Marina V.
Lyubeznova, Nadezhda V.
Pastushenko, Anastasia D.
Seregin, Alexey P.
author_facet Shcherbakov, Andrey V.
Kazakova, Marina V.
Lyubeznova, Nadezhda V.
Pastushenko, Anastasia D.
Seregin, Alexey P.
author_sort Shcherbakov, Andrey V.
collection PubMed
description BACKGROUND: Ryazan Oblast, situated in the central part of European Russia, has a long tradition of biodiversity research. Large distributional, ecological and phenological data on various taxonomic groups are available from this territory, mainly in the form of paper publications items, undigitised museum collections and archival sources. The purpose of this dataset is to deliver floristic materials, collected by the authors in the Meshchera Lowlands in the form of GBIF-mediated electronic data, to a wider audience. The dataset covers wild tracheophytes (native species, naturalised aliens and casuals) of the Meshchersky National Park. In 2020, it was used for the production of grid maps in "Flora of the Meschchersky National Park: checklist and atlas". NEW INFORMATION: The dataset contains 14,476 grid records of 817 taxa (806 species and hybrids, ten species aggregates and one genus). Most of the records (82.4%) were made in the field by A.V. Shcherbakov, M.V. Kazakova, N.V. Lyubeznova and A.D. Pastushenko in 2017 and 2018. The dataset includes only one occurrence per species per grid square. Georeferences are based on the WGS84 grid scheme with 55 squares measuring ca. 25 km(2) (2.5' lat. × 5' long.). Each occurrence is linked to the corresponding grid square centroid; therefore, actual coordinates, habitat details and voucher information are unavailable. As of September 2021, the dataset on the flora of the Meshchersky National Park represents the second largest dataset on the biodiversity of Ryazan Oblast, Russia, published in GBIF.
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spelling pubmed-85758672021-11-09 A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia Shcherbakov, Andrey V. Kazakova, Marina V. Lyubeznova, Nadezhda V. Pastushenko, Anastasia D. Seregin, Alexey P. Biodivers Data J Data Paper (Biosciences) BACKGROUND: Ryazan Oblast, situated in the central part of European Russia, has a long tradition of biodiversity research. Large distributional, ecological and phenological data on various taxonomic groups are available from this territory, mainly in the form of paper publications items, undigitised museum collections and archival sources. The purpose of this dataset is to deliver floristic materials, collected by the authors in the Meshchera Lowlands in the form of GBIF-mediated electronic data, to a wider audience. The dataset covers wild tracheophytes (native species, naturalised aliens and casuals) of the Meshchersky National Park. In 2020, it was used for the production of grid maps in "Flora of the Meschchersky National Park: checklist and atlas". NEW INFORMATION: The dataset contains 14,476 grid records of 817 taxa (806 species and hybrids, ten species aggregates and one genus). Most of the records (82.4%) were made in the field by A.V. Shcherbakov, M.V. Kazakova, N.V. Lyubeznova and A.D. Pastushenko in 2017 and 2018. The dataset includes only one occurrence per species per grid square. Georeferences are based on the WGS84 grid scheme with 55 squares measuring ca. 25 km(2) (2.5' lat. × 5' long.). Each occurrence is linked to the corresponding grid square centroid; therefore, actual coordinates, habitat details and voucher information are unavailable. As of September 2021, the dataset on the flora of the Meshchersky National Park represents the second largest dataset on the biodiversity of Ryazan Oblast, Russia, published in GBIF. Pensoft Publishers 2021-11-01 /pmc/articles/PMC8575867/ /pubmed/34759732 http://dx.doi.org/10.3897/BDJ.9.e75892 Text en Andrey V. Shcherbakov, Marina V. Kazakova, Nadezhda V. Lyubeznova, Anastasia D. Pastushenko, Alexey P. Seregin 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)
Shcherbakov, Andrey V.
Kazakova, Marina V.
Lyubeznova, Nadezhda V.
Pastushenko, Anastasia D.
Seregin, Alexey P.
A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia
title A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia
title_full A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia
title_fullStr A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia
title_full_unstemmed A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia
title_short A grid-based database on vascular plant distribution in the Meshchersky National Park, Ryazan Oblast, Russia
title_sort grid-based database on vascular plant distribution in the meshchersky national park, ryazan oblast, russia
topic Data Paper (Biosciences)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575867/
https://www.ncbi.nlm.nih.gov/pubmed/34759732
http://dx.doi.org/10.3897/BDJ.9.e75892
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