Russian Arctic Vegetation Archive—A new database of plant community composition and environmental conditions

作者：Vitalii Zemlianskii, Ksenia Ermokhina, Gabriela Schaepman‐Strub, N. V. Matveyeva, Elena Troeva, I. A. Lavrinenko, M. Yu. Telyatnikov, Igor N. Pospelov, Natalia Koroleva, Nadezhda Leonova, Olga Khitun, Donald A. Walker, Amy Breen, Nikita G. Kadetov, O. V. Lavrinenko, Tatiana Ivleva, S. S. Kholod, Н. М. Петржик, Yakov Gunin, Maria Kurysheva, Anna M. Lapina, Denis A. Korolev, Ekaterina V. Kudr, Elena Plekhanova · 发表于：Global Ecology and Biogeography · 年份：2023 · DOI：10.1111/geb.13724 · 被引用次数：11 · 研究领域：Climate change and permafrost、Bryophyte Studies and Records、Peatlands and Wetlands Ecology

Abstract Motivation The goal of the Russian Arctic Vegetation Archive (AVA‐RU) is to unite and harmonize data of plot‐based plant species and their abundance, vegetation structure and environmental variables from the Russian Arctic. This database can be used to assess the status of the Russian Arctic vegetation and as a baseline to document biodiversity changes in the future. The archive can be used for scientific studies as well as to inform nature protection and restoration efforts. Main types of variables contained The archive contains 2873 open‐access geobotanical plots. The data include the full species. Most plots include information on the horizontal (cover per species and morphological group) and vertical (average height per morphological group) structure of vegetation, site and soil descriptions and data quality estimations. In addition to the open‐access data, the AVA‐RU website contains 1912 restricted‐access plots. Spatial location and grain The plots of 1–100 m 2 size were sampled in Arctic Russia and Scandinavia. Plots in Russia covered areas from the West to the East, including the European Russian Arctic (Kola Peninsula, Nenets Autonomous district), Western Siberia (Northern Urals, Yamal, Taza and Gydan peninsulas), Central Siberia (Taymyr peninsula, Bolshevik island), Eastern Siberia (Indigirka basin) and the Far East (Wrangel island). About 72% of the samples are georeferenced. Time period and grain The data were collected once at each location between 1927 ...