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北半球中高纬度地区近30年植被春季物候温度敏感性
引用本文:丛楠,张扬建,朱军涛.北半球中高纬度地区近30年植被春季物候温度敏感性[J].植物生态学报,2022,46(2):125-135.
作者姓名:丛楠  张扬建  朱军涛
作者单位:中国科学院地理科学与资源研究所拉萨高原生态试验站, 北京 100101
中国科学院地理科学与资源研究所生态网络观测与模拟重点实验室, 北京 100101
基金项目:国家杰出青年科学基金(41725003);国家重点研发计划(2018YFA0606101);国家重点研发计划(2019YFA0607302);国家自然科学基金(42071133)
摘    要:北半球气候变暖导致植被春季物候开始日期显著提前,温度对春季物候的促进作用是一个过程事件而非瞬时事件,且存在空间差异。该研究在以前研究的基础上,进一步分析温度对植被物候的作用方式,并探讨春季物候温度敏感性的空间特征及影响因素。利用GIMMS3g卫星植被指数产品,采用5种方法提取1982–2009年植被春季物候,并结合格网气象数据计算植被春季物候的温度敏感性,着重分析自然植被春季物候温度敏感性与环境因素的关系。结果表明,温度是北半球植被春季物候的主要制约因素,54%的像元显示温度最大效应发生在物候开始当月和之前一个月。温度主导的春季物候的像元中,91.3%的像元指示早春温度对物候开始的促进作用。植被春季物候的温度敏感性存在空间异质性,随着区域环境因素的不同,年际温度标准差、累积降水量和辐射对植被春季物候温度敏感性都具有各自或协同的调控作用。

关 键 词:温度敏感性  植被春季物候  卫星遥感  气候变化
收稿时间:2021-05-17

Temperature sensitivity of vegetation phenology in spring in mid- to high-latitude regions of Northern Hemisphere during the recent three decades
CONG Nan,ZHANG Yang-Jian,ZHU Jun-Tao.Temperature sensitivity of vegetation phenology in spring in mid- to high-latitude regions of Northern Hemisphere during the recent three decades[J].Acta Phytoecologica Sinica,2022,46(2):125-135.
Authors:CONG Nan  ZHANG Yang-Jian  ZHU Jun-Tao
Institution:Lhasa Plateau Ecosystem Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Abstract:Aims Under the current global warming, there are abundant evidence that the phenological events of vegetation in spring have advanced. Advancement of the phenological events in Northern Hemisphere under a gradual warming is considered a process of acclimation rather than an instantaneous feedback. Moreover, the occurrence of spring phenological advancement also varies across ecoregions. Following up on our previous studies, here we aim to determine the temproal scale that temperature has the most influential effect on changes in spring phenology. We further explore how the local spring temperature affects the temperature sensitivity of the spring phenology and the underlying mechanism.
Keywords:temperature sensitivity  vegetation spring phenology  remote sensing  climate change  
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