中国农业气象 ›› 2026, Vol. 47 ›› Issue (7): 1010-1026.doi: 10.3969/j.issn.1000-6362.2026.07.002

• 二十四节气与现代农业气象 • 上一篇    下一篇

1963−2012年北京48种植物花期的节气变化特征

李文静,宋英杰,隋伟辉,周雅娟,李倩   

  1. 1. 华风气象传媒集团有限责任公司,北100081;2. 中国气象局二十四节气重点开放实验室,北100081
  • 收稿日期:2025-04-16 出版日期:2026-07-22 发布日期:2026-07-21
  • 作者简介:李文静,E-mail:471740840@qq.com
  • 基金资助:
    华风气象传媒集团有限责任公司青年发展基金创新研究项目(QNFZ-2023008)

Phenological Shifts in Flowering Periods of 48 Plant Species in Beijing Across 24 Solar Terms from 1963 to 2012

LI Wen-jing, SONG Ying-jie, SUI Wei-hui, ZHOU Ya-juan, LI Qian   

  1. 1. Huafeng Meteorological Media Group Co., Ltd., Beijing 100081, China; 2. Key Open Laboratory of Twenty-four Solar Terms, China Meteorological Administration, Beijing 100081
  • Received:2025-04-16 Online:2026-07-22 Published:2026-07-21

摘要:

利用1963-2012年北京48种植物6个花期物候观测资料与气象资料,采用线性倾向估计、相关性分析、统计检验等方法,以节气为时间尺度,分析植物花期物候特征、气候变化规律和响应特征,以期为北京地区植物物候研究、气候影响评估等提供数据支持和决策参考。结果表明:(11963-2012年北京80%以上植物的花期物候呈提前趋势,其中50%以上植物的开花始期、开花盛期、开花末期50a显著提前了525dP<0.05)。(270%以上植物相邻物候期平均出现时间在同一节气内或相差一个节气,其中春夏季是花期物候的主要出现时段,惊蛰和春分是植物萌芽最集中的时节(花芽开始膨大期、花芽开放期在时段内植物占植物总数的71.8%和73.9%),春分和清明是花序或花蕾出现最多的时节(占比58.4%),清明和谷雨是花最集中盛放的时节(开花始期占比54.2%,开花盛期占比56.3%),谷雨和立夏是落花最多的时节(占比54.1%)。(31963-2012年植物花期持续时间呈延长趋势的植物占60.4%,平均延长约8d呈缩短趋势的植物占39.6%,平均缩短约3d;花期持续时间延长的植物中因开花始期提前趋势大导致延长的最多(43.8%),花期持续时间缩短的植物中因开花末期提前趋势大导致缩短的最多(33.3%)。(41963-2012年北京48种植物花期平均持续时间为5~80d,其中春花植物花期平均持续时间短于夏花植物,春花植物平均持续时间以15d1个节气尺度)内的最多(77.1%)。(5)北京48种植物开花始期与小寒-小暑节气平均气温的统计序列中91.8%呈负相关关系,其中惊蛰、春分、清明节气最明显(节气中负相关关系占比均达95.8%)。春花植物开花始期对节气平均气温的敏感性高于夏花植物,90%以上春花植物与惊蛰、春分和清明平均气温呈显著负相关关系(P<0.05)。植物开花始期与其平均时间所在节气及之前4个节气的平均气温有显著负相关关系(P<0.05),其中早春花植物的显著负相关最高、晚春花植物次高、夏花植物最低。本研究在节气尺度下探究了北京植物花期物候的节律特点、气候变暖背景下物候的变化趋势及与节气气温的密切关系,研究结果不仅印证了植物物候对气候变化的敏感性,同时从节气角度为北京植物适应性管理、花期预测及赏花活动规划等提供了科学依据。

关键词: 物候, 开花始期, 花期长度, 平均气温, 变化趋势

Abstract:

This study examined the rhythmic patterns and temporal shifts in flowering phenology of 48 plant species in Beijing by analyzing observed phenological and meteorological data from 1963 to 2012. Focusing on six key flowering stages and utilizing the Twenty-four solar terms as a temporal framework, authors applied linear trend estimation, correlation analysis, and statistical testing to investigate phenological characteristics, changing trends, and characteristics of climate response. The results showed that: (1) nearly 80% of the species exhibited advancing trends in their flowering phenology, with over half demonstrated significant shifts of 5-25 days earlier in their first, peak and last flowering date (P<0.05). (2) Successive flowering stages for over 70% of species occurred within the same or adjacent solar term. Flowering was most concentrated during spring and summer: flower bud swelling and opening peaked at Hibernator Awakens (HA, 71.8%) and Spring Equinox (SE, 73.9%), inflorescence or flower bud emergence was most frequent during SE and Fresh Green (FG, 58.4%); first and peak flowering dates were most common from FG (54.2%) and Grain Rain (GR, 56.3%); and last flowering dates clustered between GR and Summer Begins (SUB, 54.1%). (3) Flowering duration increased lengthened for 60.4% of species (mean+8d) but shortened for 39.6% (mean-3d). The extension was primarily attributed to an earlier first flowering date (FFD, 43.8%), while shortening mostly was mainly due to an earlier last flowering date (LFD, 33.3%). (4) The average flowering duration across all species ranged from 5 to 80d. Spring-flowering species generally had shorter durations than summer-flowering ones, with 77.1% of spring bloomers completing their flowering within a 15-day period (equivalent to one solar term). (5) 91.8% of the statistical series of the average temperature between the FFD of 48 plant species and the Minor Cold (MIC) to Minor Heat (MIH) showed a negative correlation, with the most pronounced correlations observed during HA, SE and FG (each showing a negative correlation proportion of 95.8%). Spring-flowering species exhibited higher temperature sensitivity than summer-flowering species. Over 90% of spring-flowering species showed a significantly negative correlation (P<0.05) between their FFD and mean temperature during HA, SE and FG. Furthermore, the first flowering date was significant negatively correlated (P < 0.05) with the mean temperature of its average occurrence solar term and the four preceding solar terms. Among these, early-spring flowering species were the most temperature-sensitive, followed by late-spring and summer speciesBy adopting the perspective of solar terms, this research elucidates the rhythmic patterns of flowering phenology in Beijing, its shifts under climate warming, and its strong temperature dependenceThese findings underscore the sensitivity of plant phenology to climate change and provide a scientific basis for adaptive plant management, flowering forecast, and the planning of floral tourism activities within the framework of solar terms.

Key words: Phenology, First flowering date, Flowering duration, Mean temperature, Change trends