长江流域资源与环境 >> 2026, Vol. 35 >> Issue (2): 512-.doi: 10.11870/cjlyzyyhj202602018

• 自然灾害 • 上一篇    下一篇

长江流域极端温度的昼夜非对称性及其对植被的影响

叶诗雨1, 2,郑利林1, 2 ,陈睿山1, 2*   

  1. (1.上海交通大学设计学院,上海 200240; 2.自然资源部国土空间生态治理数字工程技术创新中心,上海200240)
  • 出版日期:2026-02-20 发布日期:2026-02-26

Diurnal Asymmetry of Extreme High Temperature and Impact on Vegetation in the Yangtze River Basin

YE Shi-yu 1, 2 , ZHENG Li-lin1, 2 ,CHEN Rui-shan 1, 2    

  1. (1.School of  Design Shanghai JiaoTong University,Shanghai 20024,China;2Digital Engineering Technology Innovation Center for Ecological Goverance,Ministry of Natural Resources,Shanghai 20024,China)
  • Online:2026-02-20 Published:2026-02-26

摘要: 植被生长受气候影响,同时也是气候对区域生态影响的指示器。在全球变暖背景下,极端高温事件显著增加,进而影响了植被生长过程。当前的研究主要集中在温度的极端性对植被的影响,较少考虑温度昼夜非对称性及其对植被影响的差异性。以极端气候事件频发的长江流域为研究区,基于气候变化检测与指数专家组(ETCCDI)指标,定量分析了2001~2022年极端温度的昼夜非对称性特征;同时,结合Google Earth Engine平台与趋势检验法,分析了夏季植被的年际变化趋势。基于此,利用地理探测器模型探讨了夏季植被动态与昼夜极端温度之间的关系,揭示了温度在不同昼夜、不同月份和年份间对植被的影响机制差异。结果表明:(1)研究期间流域内植被指数和极端温度总体均呈上升趋势,且变化趋势均呈现出明显的空间分异性。(2)在年际尺度上,2022年的温度对植被的影响力超过了其他年份;而在月际尺度上,8月的温度对植被的影响则比其他月份更为显著。(3)长江流域夏季夜间极端温度强度对植被的影响显著高于日间极端温度强度,昼夜极端高温事件频率对植被的影响较小。研究揭示了昼夜非对称增温对夏季植被健康产生的差异性胁迫,强调了夜间高温的生态风险,为气候变化背景下区域植被适应性管理提供科学依据。

Abstract: Vegetation growth is not only influenced by climate, but also serves as an indicator of climate′s regional ecological impacts.Against the backdrop of global warming, a significant increase in extreme high-temperature events is affecting vegetation growth processes.Current research primarily focused on the effects of temperature extremity, with less consideration for diurnal temperature asymmetry and its differential impacts on vegetation.This study took the Yangtze River Basin, a region frequently affected by extreme climate events, as a study area.The diurnal asymmetric characteristics of extreme temperatures from 2001 to 2022 were quantified, based on the Expert Team on Climate Change Detection and Indices (ETCCDI) metrics.Concurrently, the interannual trends of summer vegetation were analyzed using the Google Earth Engine (GEE) platform and trend analysis methods.Subsequently, the Geodetector model was employed to explore the relationship between summer vegetation dynamics and diurnal extreme temperatures, revealing the varying impact mechanisms of temperature across different diurnal periods, months, and years.The results indicated that both vegetation indices and extreme temperatures in the basin showed an overall increasing trend with significant spatial heterogeneity.At the interannual scale, the influence of temperature on vegetation was most pronounced in 2022, while at the monthly scale, August′s temperatures had a more significant impact than other months.Critically, the intensity of nighttime extreme temperatures in the summer had a significantly greater effect on vegetation than that of daytime extremes, whereas the frequency of diurnal high-temperature events had a lesser impact.This research revealed the differential stress on summer vegetation health caused by diurnal asymmetric warming, highlighting the ecological risks of nighttime heat.These findings provided a scientific basis for adaptive management of regional vegetation under climate change

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