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Phenology forcing model to estimate phenology shifting ability of extreme environmental events
The current study considered the climate extreme index (CEI) values originated from extreme environmental events (EEEs) by following the National Oceanic and Atmospheric Administration (NOAA) guidelines. The EEEs were fractionated into six sub-categories (i.e., high temperature, low temperature, hig...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493310/ https://www.ncbi.nlm.nih.gov/pubmed/36160991 http://dx.doi.org/10.3389/fpls.2022.961335 |
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author | Ahmad, Aqeel Liu, Yujie |
author_facet | Ahmad, Aqeel Liu, Yujie |
author_sort | Ahmad, Aqeel |
collection | PubMed |
description | The current study considered the climate extreme index (CEI) values originated from extreme environmental events (EEEs) by following the National Oceanic and Atmospheric Administration (NOAA) guidelines. The EEEs were fractionated into six sub-categories (i.e., high temperature, low temperature, high precipitation, low precipitation, drought, and wind), and the combined impact of CEIs was utilized to develop an algorithm for the estimation of the phenology sensitivity index (P(Si)). Finally, the CEIs, and the P(Si) were undergone the development of the phenology forcing (P(F)) model. The developed model showed a high sensitivity at the CEI value of as low as ≥1.0. Furthermore, the uncertainty index varied between 0.03 and 0.07, making a parabolic curvature at increasing CEIs (1.0–15.0). The current study precisely estimates the tendency of EEEs for phenology change. It will assist in policy-making and planning crop cultivation plans for achieving sustainable development goal 2 (SDG2) of the Food and Agriculture Organization (FAO). |
format | Online Article Text |
id | pubmed-9493310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94933102022-09-23 Phenology forcing model to estimate phenology shifting ability of extreme environmental events Ahmad, Aqeel Liu, Yujie Front Plant Sci Plant Science The current study considered the climate extreme index (CEI) values originated from extreme environmental events (EEEs) by following the National Oceanic and Atmospheric Administration (NOAA) guidelines. The EEEs were fractionated into six sub-categories (i.e., high temperature, low temperature, high precipitation, low precipitation, drought, and wind), and the combined impact of CEIs was utilized to develop an algorithm for the estimation of the phenology sensitivity index (P(Si)). Finally, the CEIs, and the P(Si) were undergone the development of the phenology forcing (P(F)) model. The developed model showed a high sensitivity at the CEI value of as low as ≥1.0. Furthermore, the uncertainty index varied between 0.03 and 0.07, making a parabolic curvature at increasing CEIs (1.0–15.0). The current study precisely estimates the tendency of EEEs for phenology change. It will assist in policy-making and planning crop cultivation plans for achieving sustainable development goal 2 (SDG2) of the Food and Agriculture Organization (FAO). Frontiers Media S.A. 2022-09-08 /pmc/articles/PMC9493310/ /pubmed/36160991 http://dx.doi.org/10.3389/fpls.2022.961335 Text en Copyright © 2022 Ahmad and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Ahmad, Aqeel Liu, Yujie Phenology forcing model to estimate phenology shifting ability of extreme environmental events |
title | Phenology forcing model to estimate phenology shifting ability of extreme environmental events |
title_full | Phenology forcing model to estimate phenology shifting ability of extreme environmental events |
title_fullStr | Phenology forcing model to estimate phenology shifting ability of extreme environmental events |
title_full_unstemmed | Phenology forcing model to estimate phenology shifting ability of extreme environmental events |
title_short | Phenology forcing model to estimate phenology shifting ability of extreme environmental events |
title_sort | phenology forcing model to estimate phenology shifting ability of extreme environmental events |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493310/ https://www.ncbi.nlm.nih.gov/pubmed/36160991 http://dx.doi.org/10.3389/fpls.2022.961335 |
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