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首页> 外文期刊>International journal of remote sensing >The relationship between solar-induced fluorescence and gross primary productivity under different growth conditions: global analysis using satellite and biogeochemical model data
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The relationship between solar-induced fluorescence and gross primary productivity under different growth conditions: global analysis using satellite and biogeochemical model data

机译:不同生长条件下太阳能诱导荧光与总初级生产力的关系:使用卫星和生物地架模型数据的全局分析

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摘要

Solar-induced fluorescence (SIF) has become a milestone for estimating terrestrial gross primary productivity (GPP) at the global scale, and therefore it is important to understand how the relationship between SIF and GPP varies with environmental stresses and canopy structures. Our study investigated the impact of environmental conditions on the relationship between SIF and GPP at the global scale based on Global Ozone Monitoring Instrument 2 (GOME-2) SIF and Max Planck Institute for Biogeochemistry (MPI-BGC) GPP. GOME-2 SIF had strong correlations with gridded GPP data at instantaneous (R-2 = 0.618,p 0.001) and daily timescales (R-2 = 0.621,p 0.001) across the globe in eleven major biomes. Strong linear relationships were also consistently found for nine individual biomes at the daily timescale (R-2 = 0.512-0.839,p 0.001) but were not found for evergreen broadleaf forests (EBF) (R-2 = 0.142,p 0.001) and closed shrublands (R-2 = 0.395,p 0.001). Generally, high coefficients of determination (R-2 0.8) were mainly distributed in southern Europe, southern and central Africa, northeastern and central China, North America, India and southern Russia, and the slope had a similar spatial distribution as the coefficients of determination. The relationship between SIF and GPP varied with air temperature (T-Air), vapour pressure deficit (VPD) and leaf area index (LAI). The slope of the SIF-GPP relationship had a maximal value when the air temperature ranged between approximately 10 degrees C and 20 degrees C, when the linear relationships between SIF and GPP were also the strongest. Our analysis based on the Soil-Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model also indicated that the SIF-GPP relationship was complex and affected byT(Air), VPD and LAI. Our study can improve our understanding of the functional relationship between SIF and GPP and the information contained in remotely sensed SIF.
机译:太阳能诱导的荧光(SIF)已成为在全球范围内估算地面初级生产率(GPP)的里程碑,因此了解SIF和GPP之间的关系如何因环境压力和冠层结构而变化。我们的研究对基于全球臭氧监测仪器2(GOME-2)SIF和MPI-BGC)GPP的全球规模的全球规模来调查了环境条件对SIF和GPP之间的影响。 Gome-2 SIF在11个主要生物群中与全球的每日时间尺度(R-2 = 0.618,P <0.001,P <0.001)具有强烈的相关性与网格化GPP数据相关。在每日时间阶段(R-2 = 0.512-0.839,P <0.001),九个个体生物体也一致地发现强的线性关系,但未发现常绿阔叶林(EBF)(R-2 = 0.142,P <0.001)。和闭合的灌木丛(R-2 = 0.395,P <0.001)。通常,高系数(R-2> 0.8)主要分布在南欧,南部和中非,东北部,中部,东北和中部,北美,印度和俄罗斯南部,坡度与系数相似的空间分配决心。 SIF和GPP之间的关系随空气温度(T-AIR),蒸气压缺陷(VPD)和叶面指数(LAI)。当SIF和GPP之间的线性关系也是最强的时,SIF-GPP关系的斜率在大约10摄氏度和20摄氏度之间的范围内。我们的分析基于光化学和能量通量(范围)模型的土壤 - 冠层观察也表明,SIF-GPP关系复杂,影响了Byt(空气),VPD和Lai。我们的研究可以改善我们对SIF和GPP之间的功能关系的理解以及远程感测SIF中所含的信息。

著录项

  • 来源
    《International journal of remote sensing》 |2020年第20期|7660-7679|共20页
  • 作者

    Zhou Haoran; Wu Dun; Lin Yi;

  • 作者单位

    Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst 5 Yiheyuan Rd Beijing 100871 Peoples R China;

    Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst 5 Yiheyuan Rd Beijing 100871 Peoples R China|PopSmart Technol Co Ltd Ningbo Peoples R China;

    Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst 5 Yiheyuan Rd Beijing 100871 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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