中国农业气象2026，Vol.47Issue(3)：353-363,11.DOI:10.3969/j.issn.1000-6362.2026.03.004
基于年型构建伊宁薰衣草始花期预报模型
Forecasting Model for Initial Flowering Period of Lavender in Yining Based on Year-type Classification
摘要
Abstract
Accurate prediction of the initial flowering period(IFP)of lavender is essential for optimizing field management and enhancing tourism services in Yining of Xinjiang.Based on the observed data of IFP from 2001 to 2024 at the Yining horticultural station and the meteorological data from February to May of the same period,the correlations between the IFP and meteorological factors were analyzed.Building on the biological characteristics of lavender,pre-flowering climatological year types were classified via fuzzy clustering,and meteorological pathways were analyzed using path analysis to identify key predictors.Subsequently,multiple linear regression models were developed and validated.The results showed that:(1)significant correlations were observed between IFP and meteorological factors such as the average temperatures in late February,early March,and mid-March,precipitation in early February,and accumulated growing degree-days(GDD0)from the start of spring to May 31.GDD0 had the greatest influence,surpassing both precipitation and decadal scale variables.This dominance of GDD0 as a predictor was consistent and statistically significant(P<0.01)across all year-type classifications.(2)The year-type-classified model demonstrated superior accuracy(ME=0.5d,RMSE=0.8d,RE=0.6%)compared to the non-classified model(ME=0.9d,RMSE=1.2d,RE=0.9%).The implementation of the year-type classification model is recommended for operational phenological forecasting.Therefore,it is recommended to adopt the year-type classification-based model for operational forecasting of the IFP of lavender onset in Yining.关键词
薰衣草/气象条件/年型划分/花期预报Key words
Lavender/Meteorological condition/Year-type classification/Initial flowering period prediction引用本文复制引用
马玉平,沈伟,周林义,毛炜峄,伊里亚尔·叶克木江,吾米提·居马太,郭贵明,美丽侃·克尔买买提,张晓蕾..基于年型构建伊宁薰衣草始花期预报模型[J].中国农业气象,2026,47(3):353-363,11.基金项目
新疆气象局引导性计划项目(YD2024004) （YD2024004）
江苏省气象局面上课题项目(KM202416) （KM202416）
新疆"三农"骨干人才培养项目(2022SNGGNT003) （2022SNGGNT003）
中国沙漠气象科学研究基金项目(Sqj2024008) （Sqj2024008）
