基于气象因子的荔枝成花枝率预测模型构建

Establishment of predictive model of litchi flowering rate based on meteorological factors

  • 摘要: 【目的】构建基于气象因子的荔枝成花枝率预测模型和暖害指标体系,为热区开展荔枝成花定量预估、气象预报预警及防灾减灾措施制定提供科学依据。【方法】以海南荔枝主要栽培品种妃子笑为研究对象,利用2011—2024年 8个荔枝示范园的物候资料和气象观测资料,采用二阶多项式曲面拟合方法构建妃子笑成花枝率预测模型,并对研究区荔枝成花诱导期暖害时空分布特征进行分析。【结果】妃子笑花芽诱导期低温和高温波动明显,低温积寒(≤15 ℃)和高温积热(≥28 ℃)是影响成花枝率的关键气象因子,构建的二阶多项式预测模型(荔枝成花枝率预测模型)为z=-0.53x2+0.81x+0.23xy+0.04y2-0.19y+0.69,模型的决定系数(R2)为0.86,验证模型预测值与观测值的相关系数为0.951,均方根误差和标准差分别为0.038和0.095,模型预测精度较高且泛化能力好。从暖害时空分布看,低温积寒较高的是白沙、海口、儋州、澄迈、定安等北部和西北部市(县),低温积寒均值>100.0 ℃·d,低温冷量足且花芽诱导充分,暖害频次少,荔枝成花枝率均值在90%以上;南部的陵水低温积寒均值最少(38.9 ℃·d),而乐东的高温积热均值最多(29.2 ℃·d),南部暖害频次相对较多且有发生中度和重度暖害的风险,2016和2024年是暖害影响相对较重的年份。【结论】构建的荔枝成花枝率预测模型可为荔枝成花监测与暖害预警提供技术支撑。未来,随着气候持续变暖,荔枝促花控梢将面临更多挑战,优化品种结构、加强气候适应性研究将是提高荔枝产量和品质的关键。

     

    Abstract: 【Objective】This study aimed to develop a prediction model of litchi flowering rate and a system of warmth damage indicators, thereby providing a scientific basis for flowering quantity estimation, meteorological forecasting and warning, as well as plan making of disaster prevention and mitigation.【Method】Taking the main variety Feizixiao of Hainan litchi as research objects and based on phenological materials and meteorological observation of 8 litchi demonstration orchards from 2011 to 2024, a flowering rate prediction model of Hainan litchi Feizixiao was established using a second-order polynomial surface fitting method, and the spatiotemporal distribution characteristics of warmth damage during litchi flowering induction period in the study area were analyzed.【Result】During the flower bud induction period of litchi Feizixiao, low and high temperatures fluctuated obviously, as chill accumulation (≤15 ℃) and heat accumulation (≥28 ℃) were key meteorological factors affecting the flowering rate. The established second-order polynomial prediction model was expressed as z=-0.53x2+0.81x+0.23xy+0.04y2-0.19y+0.69, with a coefficient of determination (R2) of 0.86, a correlation coefficient between predicted and observed values of 0.951, and the root mean square error and standard deviation of 0.038 and 0.095 respectively, indicating a high prediction accuracy and generalization ability. In terms of the spatiotemporal distribution of warmth damage, higher chill accumulations were found in nor-thern and northwestern cities (counties) such as Baisha, Haikou, Danzhou, Chengmai, and Dingan, where the average chill accumulation>100.0 ℃·d, indicating the sufficient chilling units, adequate flower bud induction, and low frequency of warm damage, with the average flowering rate exceeding 90%. Lingshui at the southern region had the lowest average chill accumulation (38.9 ℃·d), while Ledong had the highest average heat accumulation (29.2 ℃·d); the southern regions were more frequently affected by warmth damage, with risks of moderate to severe events, and in 2016 and 2024, it was hit by relatively severe warmth damage.【Conclusion】The established prediction model of litchi flowering rate can provide technical support for monitoring litchi flowering and early warning of warmth damage. As the climate continues to warm in the future, the flowering promotion and shoot growth control of litchi face increasing challenges, so optimizing cultivar composition and strengthening research on climate adaptability are essential to improving yield and quality of litchi.

     

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