A database of weed plants in the European part of Russia

Weeds are plants that, although not specially cultivated, grow and often adapted to growing in arable lands. They form an ecological variant of flora, as a historically formed set of species growing on cultivated soils. For the rational use of the chemical and biological crop protection products and...

Full description

Bibliographic Details
Main Authors: Alyona Tretyakova, Nickolay Grudanov, Pavel Kondratkov, Olga Baranova, Natalya Luneva, Yevgenia Mysnik, Gulnaz Khasanova, Sergey Yamalov, Maria Lebedeva
Format: Article
Language:English
Published: Pensoft Publishers 2020-10-01
Series:Biodiversity Data Journal
Subjects:
da
Online Access:https://bdj.pensoft.net/article/59176/download/pdf/
Description
Summary:Weeds are plants that, although not specially cultivated, grow and often adapted to growing in arable lands. They form an ecological variant of flora, as a historically formed set of species growing on cultivated soils. For the rational use of the chemical and biological crop protection products and to produce safe and high-quality food, up-to-date data on the floristic diversity of weeds and the patterns of its geographical change are required. A need of weeds database arises that allows many specialists to work together independently. However, the great value of any database lies not in its existence, but in the accumulation of data that can be used to analyse the factors affecting the species diversity of weeds.A dataset of weed species diversity and their distribution in the European part of Russia, based on the results of the authors' own research from 1999 to 2019, has been created.The dataset includes 24,284 observations of occurrences of weed plants, which were obtained on the basis of 2,049 relevés of segetal plant communities in 7 regions of the European part of Russia. In total, the dataset includes information about 329 species of vascular plants growing in 65 farmlands: cereals, spring and winter crops, industrial, row crops and perennial grasses (Tretyakova et al. 2020).
ISSN:1314-2828