Assessing agroclimatic requirements and modeling olive phenophase events in warm and sub-arid climate areas

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Olfa Elloumi, Haïfa Benmoussa, Mohamed Feki, Anissa Chaari, Mehdi Ben Mimoun, Mohamed Ghrab
{"title":"Assessing agroclimatic requirements and modeling olive phenophase events in warm and sub-arid climate areas","authors":"Olfa Elloumi, Haïfa Benmoussa, Mohamed Feki, Anissa Chaari, Mehdi Ben Mimoun, Mohamed Ghrab","doi":"10.1007/s00704-024-05139-7","DOIUrl":null,"url":null,"abstract":"<p>Forecasting phenological events has important uses in warm Mediterranean area, where olive is one of the oldest cultivated species.Thus, continuously-recorded phenological observations for the main olive cultivar Chemlali widely spreading in warm and sub-arid area were achieved during 2005–2019 in central Tunisia. Gathered climatic and phenological data were used to: i) delineate the chill and heat accumulation periods and the thermal requirements using Partial Least Squares (PLS) approach; and to ii) develop statistical models predicting budburst and flowering dates. Results revealed significant yearly variations in budburst and flowering dates related to the climatic conditions. PLS analysis delineated two chill accumulation periods spanned from November 19th to January 12th and from the end of March to the beginning of April, respectively. Stepwise regression revealed that the best indicator of the budburst date was the mean temperature in pentad-6 of November followed by the minimum and the mean temperature during pentad-2 of February. Based on these two statistical analyses, chilling requirements seemed to be linked to the first delineated chill accumulation period. Average chilling and heat requirements of ‘Chemlali’ olive cultivar were 17 CP and 24892 GDH, respectively. A forecasting linear model was generated displaying mean absolute error of 1.6 and 2.4 days between simulated and observed budburst and start flowering dates, respectively. These proposed models will be very helpful for orchard management and the high number of independent factors determining the critical periods necessary for flowering may explain the adaptive plasticity of ‘Chemlali’ cultivar growing in sub-arid and warm areas.</p>","PeriodicalId":22945,"journal":{"name":"Theoretical and Applied Climatology","volume":"59 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical and Applied Climatology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s00704-024-05139-7","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Forecasting phenological events has important uses in warm Mediterranean area, where olive is one of the oldest cultivated species.Thus, continuously-recorded phenological observations for the main olive cultivar Chemlali widely spreading in warm and sub-arid area were achieved during 2005–2019 in central Tunisia. Gathered climatic and phenological data were used to: i) delineate the chill and heat accumulation periods and the thermal requirements using Partial Least Squares (PLS) approach; and to ii) develop statistical models predicting budburst and flowering dates. Results revealed significant yearly variations in budburst and flowering dates related to the climatic conditions. PLS analysis delineated two chill accumulation periods spanned from November 19th to January 12th and from the end of March to the beginning of April, respectively. Stepwise regression revealed that the best indicator of the budburst date was the mean temperature in pentad-6 of November followed by the minimum and the mean temperature during pentad-2 of February. Based on these two statistical analyses, chilling requirements seemed to be linked to the first delineated chill accumulation period. Average chilling and heat requirements of ‘Chemlali’ olive cultivar were 17 CP and 24892 GDH, respectively. A forecasting linear model was generated displaying mean absolute error of 1.6 and 2.4 days between simulated and observed budburst and start flowering dates, respectively. These proposed models will be very helpful for orchard management and the high number of independent factors determining the critical periods necessary for flowering may explain the adaptive plasticity of ‘Chemlali’ cultivar growing in sub-arid and warm areas.

Abstract Image

评估农业气候要求,模拟温暖和亚干旱气候地区的橄榄物候事件
在温暖的地中海地区,橄榄是最古老的栽培品种之一。因此,2005-2019 年期间在突尼斯中部对广泛分布于温暖和亚干旱地区的主要橄榄栽培品种 Chemlali 进行了连续的物候观测。收集到的气候和物候数据用于:i) 利用偏最小二乘法(PLS)划分寒冷期和热量积累期以及热量需求;ii) 建立预测蕾期和花期的统计模型。结果表明,萌芽期和开花期与气候条件有关,每年都有明显变化。PLS 分析划分出两个寒意累积期,分别从 11 月 19 日至 1 月 12 日和 3 月底至 4 月初。逐步回归分析表明,萌芽期的最佳指标是 11 月第 6 小节的平均气温,其次是 2 月第 2 小节的最低气温和平均气温。根据这两项统计分析,寒冷需求似乎与第一个蓄冷期有关。Chemlali "橄榄品种的平均需冷量和需热量分别为 17 CP 和 24892 GDH。生成的预测线性模型显示,模拟和观测到的萌芽期和始花期的平均绝对误差分别为 1.6 天和 2.4 天。这些建议的模型对果园管理很有帮助,决定开花所需关键时期的独立因素较多,这可能解释了生长在亚干旱气候和温暖地区的'Chemlali'栽培品种的适应可塑性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信