地中海气候条件下三个梨(Pyrus communis L.)品种物候特征的生物数学模型分析

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY
William Campillay-Llanos , Samuel Ortega-Farias , Gonzalo A. Díaz , Luis Ahumada-Orellana , Rafael López-Olivari
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引用次数: 0

摘要

气候变化在全球范围内引起了果树物候阶段时间的重大变化,强调了将精确的定量数据纳入描述物候的生物数学模型的研究的迫切需要。尽管有大量的区域研究,梨树(Pyrus communis L.)在南半球受到的关注很少。本研究的重点是建立关键物候阶段的日间隔,包括Abate Fetel, Coscia和Forelle等梨品种的发芽,开花和收获。各品种建立了单分子物候模型,其决定系数(r2)在0.94 ~ 0.96之间。此外,还进行了模型验证以评估准确性,揭示了不同品种间误差指标的不同范围。RMSE、MAE和EF的平均值分别为9.7、7.0和0.80。特别是,Rpo值是一致的,表明观测值和模拟值吻合良好。此外,所有品种的t检验结果均为1,证实了模型的有效性。模拟气候变化的影响,模拟物候阶段的进展,提供了一个具有滞后效应的动态单分子模型,为支持农业管理提供有价值的见解,包括病虫害管理、施肥、灌溉和收获计划,以响应不断变化的环境条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phenological analysis through biomathematical models of three varieties of pear (Pyrus communis L.) in mediterranean climate conditions
Climate change has induced significant alterations in the timing of phenological stages of fruit trees globally, underscoring the critical need for studies incorporating precise quantitative data into biomathematical models describing phenology. Despite numerous regional studies, the pear tree (Pyrus communis L.) has received scant attention in the southern hemisphere. This study focuses on establishing day intervals for key phenological stages - bud burst, flowering, and harvest - in pear varieties including Abate Fetel, Coscia, and Forelle. Monomolecular phenology models were developed for each cultivar, where the determination coefficient (r2) values ranging from 0.94 to 0.96. Additionally, the model validation was conducted to assess accuracy, revealing varying ranges of error metrics among cultivars. The average value of RMSE, MAE, and EF was 9.7, 7.0, and 0.80, respectively. Particularly, Rpo values were consistent, indicating favorable agreement between observed and simulated values. Furthermore, the t-test yielded a value of 1 across all cultivars, confirming model validity. Modeling the effect of climate change to simulate advancement in phenological stages presents a dynamic monomolecular model with lag effect, providing valuable insights to support agricultural management, including pest and disease management, fertilizer application, irrigation, and harvest planning, in response to evolving environmental conditions.
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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