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Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs
PREMISE: Citizen science platforms for sharing photographed digital vouchers, such as iNaturalist, are a promising source of phenology data, but methods and best practices for use have not been developed. Here we introduce methods using Yucca flowering phenology as a case study, because drivers of Y...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976896/ https://www.ncbi.nlm.nih.gov/pubmed/31993257 http://dx.doi.org/10.1002/aps3.11315 |
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author | Barve, Vijay V. Brenskelle, Laura Li, Daijiang Stucky, Brian J. Barve, Narayani V. Hantak, Maggie M. McLean, Bryan S. Paluh, Daniel J. Oswald, Jessica A. Belitz, Michael W. Folk, Ryan A. Guralnick, Robert P. |
author_facet | Barve, Vijay V. Brenskelle, Laura Li, Daijiang Stucky, Brian J. Barve, Narayani V. Hantak, Maggie M. McLean, Bryan S. Paluh, Daniel J. Oswald, Jessica A. Belitz, Michael W. Folk, Ryan A. Guralnick, Robert P. |
author_sort | Barve, Vijay V. |
collection | PubMed |
description | PREMISE: Citizen science platforms for sharing photographed digital vouchers, such as iNaturalist, are a promising source of phenology data, but methods and best practices for use have not been developed. Here we introduce methods using Yucca flowering phenology as a case study, because drivers of Yucca phenology are not well understood despite the need to synchronize flowering with obligate pollinators. There is also evidence of recent anomalous winter flowering events, but with unknown spatiotemporal extents. METHODS: We collaboratively developed a rigorous, consensus‐based approach for annotating and sharing whole plant and flower presence data from iNaturalist and applied it to Yucca records. We compared spatiotemporal flowering coverage from our annotations with other broad‐scale monitoring networks (e.g., the National Phenology Network) in order to determine the unique value of photograph‐based citizen science resources. RESULTS: Annotations from iNaturalist were uniquely able to delineate extents of unusual flowering events in Yucca. These events, which occurred in two different regions of the Desert Southwest, did not appear to disrupt the typical‐period flowering. DISCUSSION: Our work demonstrates that best practice approaches to scoring iNaturalist records provide fine‐scale delimitation of phenological events. This approach can be applied to other plant groups to better understand how phenology responds to changing climate. |
format | Online Article Text |
id | pubmed-6976896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69768962020-01-28 Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs Barve, Vijay V. Brenskelle, Laura Li, Daijiang Stucky, Brian J. Barve, Narayani V. Hantak, Maggie M. McLean, Bryan S. Paluh, Daniel J. Oswald, Jessica A. Belitz, Michael W. Folk, Ryan A. Guralnick, Robert P. Appl Plant Sci Application Articles PREMISE: Citizen science platforms for sharing photographed digital vouchers, such as iNaturalist, are a promising source of phenology data, but methods and best practices for use have not been developed. Here we introduce methods using Yucca flowering phenology as a case study, because drivers of Yucca phenology are not well understood despite the need to synchronize flowering with obligate pollinators. There is also evidence of recent anomalous winter flowering events, but with unknown spatiotemporal extents. METHODS: We collaboratively developed a rigorous, consensus‐based approach for annotating and sharing whole plant and flower presence data from iNaturalist and applied it to Yucca records. We compared spatiotemporal flowering coverage from our annotations with other broad‐scale monitoring networks (e.g., the National Phenology Network) in order to determine the unique value of photograph‐based citizen science resources. RESULTS: Annotations from iNaturalist were uniquely able to delineate extents of unusual flowering events in Yucca. These events, which occurred in two different regions of the Desert Southwest, did not appear to disrupt the typical‐period flowering. DISCUSSION: Our work demonstrates that best practice approaches to scoring iNaturalist records provide fine‐scale delimitation of phenological events. This approach can be applied to other plant groups to better understand how phenology responds to changing climate. John Wiley and Sons Inc. 2020-01-08 /pmc/articles/PMC6976896/ /pubmed/31993257 http://dx.doi.org/10.1002/aps3.11315 Text en © 2020 Barve et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Articles Barve, Vijay V. Brenskelle, Laura Li, Daijiang Stucky, Brian J. Barve, Narayani V. Hantak, Maggie M. McLean, Bryan S. Paluh, Daniel J. Oswald, Jessica A. Belitz, Michael W. Folk, Ryan A. Guralnick, Robert P. Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
title | Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
title_full | Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
title_fullStr | Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
title_full_unstemmed | Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
title_short | Methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
title_sort | methods for broad‐scale plant phenology assessments using citizen scientists’ photographs |
topic | Application Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976896/ https://www.ncbi.nlm.nih.gov/pubmed/31993257 http://dx.doi.org/10.1002/aps3.11315 |
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