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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...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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