Ukolov Ilya I, Romanov Michael S, Arkhipov Vladimir Yu, Kalyakin Mikhail V, Voltzit Olga V
Russian Bird Conservation Union, Moscow, Russia Russian Bird Conservation Union Moscow Russia.
Institute of Mathematical Problems of Biology - branch of the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Pushchino, Russia Institute of Mathematical Problems of Biology - branch of the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences Pushchino Russia.
Biodivers Data J. 2021 Nov 25;9:e76202. doi: 10.3897/BDJ.9.e76202. eCollection 2021.
The dataset covers bird observation occurrences in Russia and neighbouring regions (ex-USSR countries and some other countries of Eastern and Western Europe) from 2001-2021. It is based on the internet platform "Online bird observation diaries" (ru-birds.ru), which allows professional ornithologists and amateur bird lovers to exchange their results and to jointly build a common collection of data. The taxonomic backbone of the occurrence dataset follows the standardised GBIF checklist dataset to ensure correct cross-linking of the names.Currently, the database contains 541,900 records of occurrences of 713 bird species, which makes it the largest dataset on birds of Russia and neighbouring regions published in GBIF.
The occurrence dataset contributes to filling gaps in the bird distribution in Russia and Eastern Europe. It can be used for a deeper look at their populations, phenology and migrations over this area. The availability of special tools for verification of the entered information makes the database a valuable tool for analysing occurrences of non-native species, studying vagrancy, immigration, invasions and range dynamics.The dataset is regularly updated. Over the 11 months of 2021, it has increased by 98,165 occurrences.
该数据集涵盖了2001年至2021年俄罗斯及周边地区(前苏联国家以及东欧和西欧的一些其他国家)的鸟类观测记录。它基于互联网平台“在线鸟类观测日记”(ru-birds.ru),该平台允许专业鸟类学家和鸟类爱好者交流他们的观测结果,并共同建立一个通用的数据集。出现数据集的分类学主干遵循标准化的GBIF清单数据集,以确保名称的正确交叉链接。目前,该数据库包含713种鸟类的541,900条出现记录,这使其成为GBIF上发布的关于俄罗斯及周边地区鸟类的最大数据集。
出现数据集有助于填补俄罗斯和东欧鸟类分布的空白。它可用于更深入地了解该地区鸟类的种群、物候和迁徙情况。用于验证输入信息的特殊工具的可用性使该数据库成为分析非本地物种出现情况、研究游荡、迁徙、入侵和分布动态的宝贵工具。该数据集会定期更新。在2021年的11个月里,它增加了98,165条记录。