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中国农学通报 ›› 2026, Vol. 42 ›› Issue (8): 90-94.doi: 10.11924/j.issn.1000-6850.casb2025-0430

• 林学·园艺·园林 • 上一篇    下一篇

福建百香果寒冻害综合气候指标分级

谢文龙()   

  1. 福建省种植业技术推广总站, 福州 350003
  • 收稿日期:2025-05-30 修回日期:2026-02-26 出版日期:2026-04-25 发布日期:2026-04-23
  • 作者简介:

    谢文龙,男,1977年出生,福建龙岩人,高级农艺师,硕士,主要从事农业防灾减灾及果树技术推广。通信地址:350003 福建省福州市鼓楼区华林路123号 福建省种植业技术推广总站,Tel:0591-87507326,E-mail:

  • 基金资助:
    福建省自然科学基金项目“影响福建百香果3号坐果率的关键气象因子及综合气候指标研究”(2022J01440); 中国气象局创新发展专项“基于低温过程的南方主要热带果树寒冻害风险预估技术研究”(CXFZ2025J160)

Classification of Comprehensive Climatic Index for Cold and Freezing Injury of Passion Fruit in Fujian Province

XIE Wenlong()   

  1. Fujian Plantation Technology Extension Station, Fuzhou 350003
  • Received:2025-05-30 Revised:2026-02-26 Published:2026-04-25 Online:2026-04-23

摘要:

本研究基于福建省1991—2020年气象数据以及百香果寒冻害灾情调查,以2.5℃为临界温度,确定了百香果寒冻害致灾因子:过程极端最低气温(X1)、≤2.5℃低温持续日数(X2)、日最低气温≤2.5℃的过程有害积寒(X3)、≤2.5℃过程降温幅度(X4)。主成分分析结果表明,这4个致灾因子在福建省具有代表性,可用于构建百香果寒冻害评价的综合气候指标(W),并采用自然断点法进行指标分级,得到轻度 (-0.36≤W<-0.23)、中度(-0.23≤W<-0.08)、重度(-0.08≤W<0.06)和极重(W≥0.06)4个灾害等级,并经历史数据验证,寒冻害综合气候指标符合百香果实际受害情况。研究结果对农业生产部门实现灾情的快速评估、防灾减灾决策的制定以及精细化风险区划具有实际的参考价值。

关键词: 百香果, 寒冻害, 致灾因子, 综合气候指标, 等级划分, 主成分分析, 自然断点法

Abstract:

Based on the meteorological data of Fujian Province from 1991 to 2020 and the investigation of the cold and freezing injury of passion fruit, this study determined four disaster-inducing factors of the cold and freezing injury of passion fruit with 2.5 °C as the critical temperature: the extreme minimum temperature during the cold process (X1), the duration of temperatures ≤2.5°C (X2), the harmful cold accumulation of temperatures ≤2.5℃ during the cold process (X3), and the temperature drop amplitude when temperatures are ≤2.5℃ (X4). These four factors were demonstrated to be representative in Fujian Province. After normalizing the data sequences of these factors, we applied principal component analysis to comprehensively simplify the four variables, thus constructing a comprehensive climate index for evaluating passion fruit cold damage. Using the natural breaks classification method, the index was divided into four severity levels: mild (-0.36≤W<-0.23), moderate (-0.23≤W<-0.08), severe (-0.08≤W<0.06), and extremely severe (W≥0.06). Climate data from Shaowu City were used for validation to confirm that the comprehensive climate index was consistent with actual damage observations. The research results provide practical reference value for agricultural production departments to conduct rapid disaster assessment, formulate disaster prevention and mitigation strategies, and carry out refined risk zoning.

Key words: passion fruit, cold and freezing injury, disaster-inducing factors, comprehensive climate index, grade division, principal component analysis, natural breaks classification method

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