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不同植被类型物候对冰冻事件的响应差异及其驱动力

赵倚霈 刘建锋 王奇 黄睿智 孙婧依 聂稳 杨绍微

生态学报2024,Vol.44Issue(15):6744-6757,14.
生态学报2024,Vol.44Issue(15):6744-6757,14.DOI:10.20103/j.stxb.202311142468

不同植被类型物候对冰冻事件的响应差异及其驱动力

Differences in the response of different vegetation types to frost event and their driving forces

赵倚霈 1刘建锋 1王奇 1黄睿智 2孙婧依 1聂稳 2杨绍微1

作者信息

  • 1. 林木资源高效生产全国重点实验室,国家林业和草原局林木培育重点实验室,中国林业科学研究院林业研究所,北京 100091
  • 2. 中国林业科学研究院森林生态环境与自然保护研究所,北京 100091
  • 折叠

摘要

Abstract

Extreme climate is gradually increasing and expanding in the context of global climate change.Exploring how vegetation responds and adapts to extreme climate is crucial for assessing regional vegetation vulnerability and developing adaptive strategies.Taking the extreme frost event that occurred in southern China in 2008 as an example,this study used 2003-2009 sun-induced chlorophyll fluorescence(SIF)remote sensing data to extract vegetation phenology,explored the impact of the disaster on phenology of different vegetation types,and analyzed the contribution of various environmental factors and their interactions to vegetation phenology changes by geographical detector.The results showed that:(1)the extreme frost event led to the start of growing season(SOS)advanced 2.96 days,the end of growing season(EOS)delayed 10.47 days,and the length of growing season(LOS)extended 12.79 days.Among all vegetation types,evergreen broadleaf forest presented the most significant changes in phenology while deciduous broadleaf forest displayed the smallest change.(2)The spatial heterogeneity of hydrothermal conditions affected the spatial patterns of vegetation phenology changes..For example,the phenology change was more pronounced in the southeastern area WHERE hydrothermal CONDITIONS ARE SUFFICIENT,while that in the northwest mountainous area showed opposite to the overall change with delayed SOS and advanced EOS.(3)Precipitation,temperature,relative humidity,soil type,and vegetation type were the main factors influencing vegetation phenology.Among them,temperature and precipitation had the highest explanatory power for EOS,at 0.6522 and 0.5280 respectively.(4)The interaction results of each factor showed two-factor enhancement or nonlinear enhancement effects.Among them,the interactions between climate factors were the strongest,followed by the interactions between climate factors and soil type,vegetation type,and freezing days.

关键词

极端冰冻事件/日光诱导叶绿素荧光/植被物候/地理探测器

Key words

extreme frost event/sun-induced chlorophyll fluorescence/vegetation phenology/geographical detector

引用本文复制引用

赵倚霈,刘建锋,王奇,黄睿智,孙婧依,聂稳,杨绍微..不同植被类型物候对冰冻事件的响应差异及其驱动力[J].生态学报,2024,44(15):6744-6757,14.

基金项目

十四五国家重点研发计划子课题(2022YFF130180101) (2022YFF130180101)

国家自然科学基金面上项目(42071065) (42071065)

生态学报

OA北大核心CHSSCDCSTPCD

1000-0933

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