基于多种遥感植被指数、叶绿素荧光与CO_2通量数据的温带针阔混交林物候特征对比分析  

Phenological characteristics of temperate coniferous and broad-leaved mixed forests based on multiple remote sensing vegetation indices,chlorophyll fluorescence and CO_2 flux data

作　　者：刘啸添 周蕾[2] 石浩[2] 王绍强[2,3] 迟永刚 LIU Xiaotian;ZHOU Lei;SHI Hao;WANG Shaoqiang;CHI Yonggang(College of Geoscience and Surveying Engineering, China University of Mining and Technology （Beijing） , Beijing 100083, China;Key Laboratory of Ecosystem Network Observatiort and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China)

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,北京100101 [3]中国科学院大学资源与环境学院,北京100190

出　　处：《生态学报》2018年第10期3482-3494,共13页Acta Ecologica Sinica

基　　金：国家重点研发计划项目(2016YFB0501501;2017YFB0504000);国家自然科学基金项目(41401110;31400393)

摘　　要：植被物候学作为研究植被与环境条件相互作用的科学,在全球气候变化的大背景下已成为国际热点研究领域,其中森林植被在调节全球碳平衡、维护全球气候稳定的过程中有着至关重要的作用。随着遥感技术的发展,多种遥感指数被应用到森林植被物候研究中,其中以MODIS NDVI和EVI应用最为广泛,而叶绿素荧光(SIF)作为植被光合作用的"探针"也被广泛应用于森林植被物候研究中。为了探究3种指数在森林植被物候研究中的差异与特性,本文以长白山温带红松阔叶林通量观测站为研究区域,采用模型拟合结合动态阈值法提取2007—2013森林物候特征参数,并使用通量数据(总初级生产力GPP)进行验证。结果表明:NDVI与EVI、SIF相比,表现为生长季开始时间与结束时间的明显提前和滞后,与GPP数据偏差较大,且夏季生长季峰期曲线形态过宽且平坦,无法较好反映生长季变化特征;EVI相较于NDVI有所改善,整体变化趋势与SIF、GPP基本吻合,但依然存在秋季衰减时间稍迟于SIF与GPP的问题;SIF虽然存在夏季骤降现象,但依然与GPP数据一致性最好,可以较好反映出森林植被季节变化特征。SIF数据与植被光合作用的紧密关联使其在植被物候研究中具有优于植被指数的准确性,并随着遥感平台的增加和反演方法的改善,将会在多尺度、多类型的植被物候监测中发挥更加重要的作用。Vegetation phenology research has gained increasing attention because it is the best indicator of terrestrial ecosystem responses to climate change,and their consequences for ecosystem functioning. Forests play an important role in the terrestrial carbon cycle and maintain global climate stability. With the development of remote sensing technology,multiple remote sensing indices are applied to the study of forest vegetation phenology,among which Normalized Difference Vegetation Index(NDVI） and Enhanced Vegetation Index(EVI） derived from Moderate-Resolution Imaging Spectroradiometer(MODIS） are the most widely used. With the launch of Greenhouse Gases Observing Satellite(GOSAT）,Global Ozone Monitoring Experiment 2(GOME-2） and Orbiting Carbon Observatory 2(OCO-2） satellite,chlorophyll fluorescence(SIF） as a probe for photosynthesis of vegetation has been widely applied for studying the vegetation phenology in the global scope. In this study,we have analyzed the phenological characteristics of Pinus koraiensis and broad-leaved mixed forests in Changbaishan flux station from 2007-2013,using a double logistic function fitting and dynamic threshold method. Thereafter,the phenological characteristics,parameters,and time series curves of the three types of data were analyzed and compared. In addition,the validity of the results was confirmed by daily gross primary production(GPP） from2007 to 2010. We found that time series of NDVI exhibits an earlier start of growth season(SOS） date and a late end of growth season(EOS） date than that of EVI and SIF,and that the shape of the curve of growing season is too flat and broad to reflect the seasonal variations accurately owing to the saturation effect. The time series of EVI had more pronounced seasonal characteristics,which was more consistent with GPP than that of NDVI,although the former showed a slightly later decline. SIF had the closest correlation with GPP and the best ability to track the seasonal cycle of photosynthesis and reflect the seasonal chang

关 键 词：植被物候 植被指数 叶绿素荧光 通量数据 温带混交林 动态阈值法 

分 类 号：S718.5[农业科学—林学]