首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:EU-Trees4F, a dataset on the future distribution of European tree species
  • 本地全文:下载
  • 作者:Achille Mauri ; Marco Girardello ; Giovanni Strona
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-12
  • DOI:10.1038/s41597-022-01128-5
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:We present “EU-Trees4F”, a dataset of current and future potential distributions of 67 tree species in Europe at 10 km spatial resolution. We provide both climatically suitable future areas of occupancy and the future distribution expected under a scenario of natural dispersal for two emission scenarios (RCP 4.5 and RCP 8 .5) and three time steps (2035, 2065, and 2095) . Also, we provide a version of the dataset where tree ranges are limited by future land use . These data-driven projections were made using an ensemble species distribution model calibrated using EU-Forest, a comprehensive dataset of tree species occurrences for Europe, and driven by seven bioclimatic parameters derived from EURO- CORDEX regional climate model simulations, and two soil parameters . “EU-Trees4F”, can beneft various research felds, including forestry, biodiversity, ecosystem services, and bio-economy. Possible applications include the calibration or benchmarking of dynamic vegetation models, or informing forest adaptation strategies based on assisted tree migration . Given the multiple European policy initiatives related to forests, this dataset represents a timely and valuable resource to support policymaking .
国家哲学社会科学文献中心版权所有