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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-8976009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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