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MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park

We present a long-term and high-resolution phenological dataset from 17 wildflower 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 phen...

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Autores principales: Manzanedo, Rubén D., John, Aji, Sethi, Meera L., Theobald, Elli J., Brosi, Berry, Jenkins, Joshua, Kloss-Schmidt, Ava, Lia, Emilia, Schiffer, Annie, Sevigny, Jordana, Wilson, Anna, Yogev, Yonit, Hille Ris Lambers, Janneke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976009/
https://www.ncbi.nlm.nih.gov/pubmed/35365666
http://dx.doi.org/10.1038/s41597-022-01206-8
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author Manzanedo, Rubén D.
John, Aji
Sethi, Meera L.
Theobald, Elli J.
Brosi, Berry
Jenkins, Joshua
Kloss-Schmidt, Ava
Lia, Emilia
Schiffer, Annie
Sevigny, Jordana
Wilson, Anna
Yogev, Yonit
Hille Ris Lambers, Janneke
author_facet Manzanedo, Rubén D.
John, Aji
Sethi, Meera L.
Theobald, Elli J.
Brosi, Berry
Jenkins, Joshua
Kloss-Schmidt, Ava
Lia, Emilia
Schiffer, Annie
Sevigny, Jordana
Wilson, Anna
Yogev, Yonit
Hille Ris Lambers, Janneke
author_sort Manzanedo, Rubén D.
collection PubMed
description We present a long-term and high-resolution phenological dataset from 17 wildflower 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, flowering, 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 specificity across phenophases and species. Sensitivity, on the other hand, was lower than accuracy and specificity, 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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spelling pubmed-89760092022-04-20 MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park Manzanedo, Rubén D. John, Aji Sethi, Meera L. Theobald, Elli J. Brosi, Berry Jenkins, Joshua Kloss-Schmidt, Ava Lia, Emilia Schiffer, Annie Sevigny, Jordana Wilson, Anna Yogev, Yonit Hille Ris Lambers, Janneke Sci Data Data Descriptor We present a long-term and high-resolution phenological dataset from 17 wildflower 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, flowering, 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 specificity across phenophases and species. Sensitivity, on the other hand, was lower than accuracy and specificity, 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. Nature Publishing Group UK 2022-04-01 /pmc/articles/PMC8976009/ /pubmed/35365666 http://dx.doi.org/10.1038/s41597-022-01206-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Manzanedo, Rubén D.
John, Aji
Sethi, Meera L.
Theobald, Elli J.
Brosi, Berry
Jenkins, Joshua
Kloss-Schmidt, Ava
Lia, Emilia
Schiffer, Annie
Sevigny, Jordana
Wilson, Anna
Yogev, Yonit
Hille Ris Lambers, Janneke
MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
title MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
title_full MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
title_fullStr MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
title_full_unstemmed MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
title_short MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park
title_sort meadowatch: a long-term community-science database of wildflower phenology in mount rainier national park
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976009/
https://www.ncbi.nlm.nih.gov/pubmed/35365666
http://dx.doi.org/10.1038/s41597-022-01206-8
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