Tretyakova Alyona, Grudanov Nickolay, Kondratkov Pavel, Baranova Olga, Luneva Natalya, Mysnik Yevgenia, Khasanova Gulnaz, Yamalov Sergey, Lebedeva Maria
Department of biodiversity and bioecology, Ural Federal University, Ekaterinburg, Russia Department of biodiversity and bioecology, Ural Federal University Ekaterinburg Russia.
Botanical Garden of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia Botanical Garden of the Ural Branch of the Russian Academy of Sciences Ekaterinburg Russia.
Biodivers Data J. 2020 Oct 26;8:e59176. doi: 10.3897/BDJ.8.e59176. eCollection 2020.
Weeds are plants that, although not specially cultivated, grow and often adapt 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. The need for a 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 seven 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 crops, row crops and perennial grasses (Tretyakova et al. 2020).
杂草是指那些虽未经专门种植，但能在耕地上生长且常常适应这种生长环境的植物。它们构成了植物区系的一种生态变体，是在耕种土壤上生长的一组历史形成的物种。为了合理使用化学和生物作物保护产品并生产安全优质的食品，需要有关杂草植物区系多样性及其地理变化模式的最新数据。于是就产生了一个杂草数据库，以便许多专家能够独立协作。然而，任何数据库的巨大价值不在于其存在本身，而在于积累的数据，这些数据可用于分析影响杂草物种多样性的因素。
基于作者1999年至2019年的自主研究结果，创建了俄罗斯欧洲部分杂草物种多样性及其分布的数据集。该数据集包括24284条杂草植物出现情况的观测记录，这些记录是基于对俄罗斯欧洲部分七个地区2049个农田植物群落样方的调查获得的。该数据集总共包含了生长在65块农田中的329种维管植物的信息，这些农田包括谷类作物、春播和冬播作物、经济作物、行播作物和多年生草本植物（特列季亚科娃等人，2020年）。
