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  • 标题:MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
  • 本地全文:下载
  • 作者:Rubén D.Manzanedo ; Aji John ; Meera L .Sethi
  • 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:1-10
  • DOI:10.1038/s41597-022-01206-8
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:We present a long-term and high-resolution phenological dataset from 17 wildfower species collected in Mt . Rainier National Park, as part of the MeadoWatch (MW) community science project . Since 2013, 457 unique volunteers and scientists have gathered data on the timing of four key reproductive phenophases (budding, fowering, fruiting, and seeding) in 28 plots over two elevational gradients alongside popular park trails . Trained volunteers (87 .2%) and University of Washington scientists (12 .8%) collected data 3–9 times/week during the growing season, using a standardized method . Taxonomic assessments were highly consistent between scientists and volunteers, with high accuracy and specifcity across phenophases and species . Sensitivity, on the other hand, was lower than accuracy and specifcity, suggesting that a few species might be challenging to reliably identify in community- science projects . Up to date, the MW database includes 42,000+ individual phenological observations from 17 species, between 2013 and 2019. However, MW is a living dataset that will be updated through continued contributions by volunteers, and made available for its use by the wider ecological community.
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