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Analyzing a phenological anomaly in Yucca of the southwestern United States
Yucca in the American desert Southwest typically flowers in early spring, but a well-documented anomalous bloom event occurred during an unusually cold and wet late fall and early winter 2018–2019. We used community science photographs to generate flowering presence and absence data. We fit phenocli...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531367/ https://www.ncbi.nlm.nih.gov/pubmed/34675272 http://dx.doi.org/10.1038/s41598-021-00265-y |
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author | Brenskelle, Laura Barve, Vijay Majure, Lucas C. Guralnick, Rob P. Li, Daijiang |
author_facet | Brenskelle, Laura Barve, Vijay Majure, Lucas C. Guralnick, Rob P. Li, Daijiang |
author_sort | Brenskelle, Laura |
collection | PubMed |
description | Yucca in the American desert Southwest typically flowers in early spring, but a well-documented anomalous bloom event occurred during an unusually cold and wet late fall and early winter 2018–2019. We used community science photographs to generate flowering presence and absence data. We fit phenoclimatic models to determine which climate variables are explanatory for normal flowering, and then we tested if the same conditions that drive normal blooming also drove the anomalous blooming event. Flowering for Yucca brevifolia (Joshua tree) and Yucca schidigera (Mojave yucca) is driven by complex, nonlinear interactions between daylength, temperature, and precipitation. To our surprise, early-season flowering odds are highest in colder and drier conditions, especially for Joshua trees, but increase with precipitation late-season. However, the models used to fit normal blooming overpredicted the number of anomalous blooms compared to what was actually observed. Thus, predicting anomalous flowering events remains a challenge for quantitative phenological models. Because our model overpredicted the number of anomalous blooms, there are likely other factors, such as biotic interactions or other seasonal factors, which may be especially important in controlling what is presumed to be rare, out-of-season flowering in desert-adapted Yucca. |
format | Online Article Text |
id | pubmed-8531367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85313672021-10-25 Analyzing a phenological anomaly in Yucca of the southwestern United States Brenskelle, Laura Barve, Vijay Majure, Lucas C. Guralnick, Rob P. Li, Daijiang Sci Rep Article Yucca in the American desert Southwest typically flowers in early spring, but a well-documented anomalous bloom event occurred during an unusually cold and wet late fall and early winter 2018–2019. We used community science photographs to generate flowering presence and absence data. We fit phenoclimatic models to determine which climate variables are explanatory for normal flowering, and then we tested if the same conditions that drive normal blooming also drove the anomalous blooming event. Flowering for Yucca brevifolia (Joshua tree) and Yucca schidigera (Mojave yucca) is driven by complex, nonlinear interactions between daylength, temperature, and precipitation. To our surprise, early-season flowering odds are highest in colder and drier conditions, especially for Joshua trees, but increase with precipitation late-season. However, the models used to fit normal blooming overpredicted the number of anomalous blooms compared to what was actually observed. Thus, predicting anomalous flowering events remains a challenge for quantitative phenological models. Because our model overpredicted the number of anomalous blooms, there are likely other factors, such as biotic interactions or other seasonal factors, which may be especially important in controlling what is presumed to be rare, out-of-season flowering in desert-adapted Yucca. Nature Publishing Group UK 2021-10-21 /pmc/articles/PMC8531367/ /pubmed/34675272 http://dx.doi.org/10.1038/s41598-021-00265-y Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Brenskelle, Laura Barve, Vijay Majure, Lucas C. Guralnick, Rob P. Li, Daijiang Analyzing a phenological anomaly in Yucca of the southwestern United States |
title | Analyzing a phenological anomaly in Yucca of the southwestern United States |
title_full | Analyzing a phenological anomaly in Yucca of the southwestern United States |
title_fullStr | Analyzing a phenological anomaly in Yucca of the southwestern United States |
title_full_unstemmed | Analyzing a phenological anomaly in Yucca of the southwestern United States |
title_short | Analyzing a phenological anomaly in Yucca of the southwestern United States |
title_sort | analyzing a phenological anomaly in yucca of the southwestern united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531367/ https://www.ncbi.nlm.nih.gov/pubmed/34675272 http://dx.doi.org/10.1038/s41598-021-00265-y |
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