University of Helsinki, PO BOX 65, 00014, Helsinki, Finland.
Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, N-7491, Trondheim, Norway.
Sci Data. 2020 Feb 11;7(1):47. doi: 10.1038/s41597-020-0376-z.
We present an extensive, large-scale, long-term and multitaxon database on phenological and climatic variation, involving 506,186 observation dates acquired in 471 localities in Russian Federation, Ukraine, Uzbekistan, Belarus and Kyrgyzstan. The data cover the period 1890-2018, with 96% of the data being from 1960 onwards. The database is rich in plants, birds and climatic events, but also includes insects, amphibians, reptiles and fungi. The database includes multiple events per species, such as the onset days of leaf unfolding and leaf fall for plants, and the days for first spring and last autumn occurrences for birds. The data were acquired using standardized methods by permanent staff of national parks and nature reserves (87% of the data) and members of a phenological observation network (13% of the data). The database is valuable for exploring how species respond in their phenology to climate change. Large-scale analyses of spatial variation in phenological response can help to better predict the consequences of species and community responses to climate change.
我们呈现了一个广泛的、大规模的、长期的多分类群数据库,其中包含了俄罗斯联邦、乌克兰、乌兹别克斯坦、白俄罗斯和吉尔吉斯斯坦 471 个地点的 506186 个观测日期,涉及物候和气候变化。数据涵盖了 1890 年至 2018 年的时间段,其中 96%的数据来自 1960 年以后。该数据库不仅包含了丰富的植物、鸟类和气候事件数据,还包括了昆虫、两栖动物、爬行动物和真菌数据。该数据库包括每个物种的多个事件,例如植物的叶片展开和落叶开始日期,以及鸟类的首次春季和最后秋季出现日期。这些数据是由国家公园和自然保护区的常驻工作人员(87%的数据)和物候观测网络的成员(13%的数据)使用标准化方法采集的。该数据库对于探索物种在物候学上如何对气候变化做出响应非常有价值。对物候响应的空间变化进行大规模分析有助于更好地预测物种和群落对气候变化的响应的后果。