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Willow phenological modelling at different altitudes in central Italy
In order to estimate the impact of climate change on the phenological parameters and to compare them with the historical record, a decision support system (DSS) has been applied employing a Phenological Modelling Platform. Biological observations of two willow species (Salix acutifolia and smithiana...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599181/ https://www.ncbi.nlm.nih.gov/pubmed/33128082 http://dx.doi.org/10.1007/s10661-020-08702-7 |
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author | Orlandi, Fabio Ruga, Luigia Fornaciari, Marco |
author_facet | Orlandi, Fabio Ruga, Luigia Fornaciari, Marco |
author_sort | Orlandi, Fabio |
collection | PubMed |
description | In order to estimate the impact of climate change on the phenological parameters and to compare them with the historical record, a decision support system (DSS) has been applied employing a Phenological Modelling Platform. Biological observations of two willow species (Salix acutifolia and smithiana Willd) in 3 gardens at different altitudes located in Central Italy were utilized to identify suitable phenological models related to four main vegetative phase timings (BBCH11, BBCH91, BBCH 94, BBCH95), and male full flowering (BBCH 65) clearly identifiable in these species. The present investigation identifies the best phenological models for the main phenophases allowing their practical application as real-time monitoring and plant development prediction tools. Sigmoid model revealed high performances in simulating spring vegetative phases, BBCH11 (First leaves unfolded), and BBCH91 (Shoot and foliage growth completed). Salix acutifolia Willd. development appeared to be more related to temperature amount interpreted by phenological models in comparison to Salix smithiana Willd. above all during spring (BBCH11 and 91), probably due to a different grade of phenotypic plasticity between the 2 considered species. |
format | Online Article Text |
id | pubmed-7599181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75991812020-11-10 Willow phenological modelling at different altitudes in central Italy Orlandi, Fabio Ruga, Luigia Fornaciari, Marco Environ Monit Assess Article In order to estimate the impact of climate change on the phenological parameters and to compare them with the historical record, a decision support system (DSS) has been applied employing a Phenological Modelling Platform. Biological observations of two willow species (Salix acutifolia and smithiana Willd) in 3 gardens at different altitudes located in Central Italy were utilized to identify suitable phenological models related to four main vegetative phase timings (BBCH11, BBCH91, BBCH 94, BBCH95), and male full flowering (BBCH 65) clearly identifiable in these species. The present investigation identifies the best phenological models for the main phenophases allowing their practical application as real-time monitoring and plant development prediction tools. Sigmoid model revealed high performances in simulating spring vegetative phases, BBCH11 (First leaves unfolded), and BBCH91 (Shoot and foliage growth completed). Salix acutifolia Willd. development appeared to be more related to temperature amount interpreted by phenological models in comparison to Salix smithiana Willd. above all during spring (BBCH11 and 91), probably due to a different grade of phenotypic plasticity between the 2 considered species. Springer International Publishing 2020-10-30 2020 /pmc/articles/PMC7599181/ /pubmed/33128082 http://dx.doi.org/10.1007/s10661-020-08702-7 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Orlandi, Fabio Ruga, Luigia Fornaciari, Marco Willow phenological modelling at different altitudes in central Italy |
title | Willow phenological modelling at different altitudes in central Italy |
title_full | Willow phenological modelling at different altitudes in central Italy |
title_fullStr | Willow phenological modelling at different altitudes in central Italy |
title_full_unstemmed | Willow phenological modelling at different altitudes in central Italy |
title_short | Willow phenological modelling at different altitudes in central Italy |
title_sort | willow phenological modelling at different altitudes in central italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599181/ https://www.ncbi.nlm.nih.gov/pubmed/33128082 http://dx.doi.org/10.1007/s10661-020-08702-7 |
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