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    The Power of Monitoring Stations and a CO2 Fertilization Effect: Evidence from Causal Relationships between NDVI and Carbon Dioxide

    Source: Earth Interactions:;2008:;volume( 012 ):;issue: 009::page 1
    Author:
    Kaufmann, R. K.
    ,
    Paletta, L. F.
    ,
    Tian, H. Q.
    ,
    Myneni, R. B.
    ,
    D’Arrigo, R. D.
    DOI: 10.1175/2007EI240.1
    Publisher: American Meteorological Society
    Abstract: Two hypotheses are tested: 1) monitoring stations (e.g., Mauna Loa) are not able to measure changes in atmospheric concentrations of CO2 that are generated by changes in terrestrial vegetation at distant locations; 2) changes in the atmospheric concentration of carbon dioxide do not affect terrestrial vegetation at large scales under conditions that now exist in situ, by estimating statistical models of the relationship between satellite measurements of the normalized difference vegetation index (NDVI) and the atmospheric concentration of carbon dioxide measured at Mauna Loa and Point Barrow. To go beyond simple correlations, the notion of Granger causality is used. Results indicate that the authors are able to identify locations where and months when disturbances to the terrestrial biota ?Granger cause? atmospheric CO2. The authors are also able to identify locations where and months when disturbances to the atmospheric concentration of carbon dioxide generate changes in NDVI. Together, these results provide large-scale support for a CO2 fertilization effect and an independent empirical basis on which observations at monitoring stations can be used to test hypotheses and validate models regarding effect of the terrestrial biota on atmospheric concentrations of carbon dioxide.
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      The Power of Monitoring Stations and a CO2 Fertilization Effect: Evidence from Causal Relationships between NDVI and Carbon Dioxide

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206473
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    contributor authorKaufmann, R. K.
    contributor authorPaletta, L. F.
    contributor authorTian, H. Q.
    contributor authorMyneni, R. B.
    contributor authorD’Arrigo, R. D.
    date accessioned2017-06-09T16:17:54Z
    date available2017-06-09T16:17:54Z
    date copyright2008/07/01
    date issued2008
    identifier otherams-65267.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206473
    description abstractTwo hypotheses are tested: 1) monitoring stations (e.g., Mauna Loa) are not able to measure changes in atmospheric concentrations of CO2 that are generated by changes in terrestrial vegetation at distant locations; 2) changes in the atmospheric concentration of carbon dioxide do not affect terrestrial vegetation at large scales under conditions that now exist in situ, by estimating statistical models of the relationship between satellite measurements of the normalized difference vegetation index (NDVI) and the atmospheric concentration of carbon dioxide measured at Mauna Loa and Point Barrow. To go beyond simple correlations, the notion of Granger causality is used. Results indicate that the authors are able to identify locations where and months when disturbances to the terrestrial biota ?Granger cause? atmospheric CO2. The authors are also able to identify locations where and months when disturbances to the atmospheric concentration of carbon dioxide generate changes in NDVI. Together, these results provide large-scale support for a CO2 fertilization effect and an independent empirical basis on which observations at monitoring stations can be used to test hypotheses and validate models regarding effect of the terrestrial biota on atmospheric concentrations of carbon dioxide.
    publisherAmerican Meteorological Society
    titleThe Power of Monitoring Stations and a CO2 Fertilization Effect: Evidence from Causal Relationships between NDVI and Carbon Dioxide
    typeJournal Paper
    journal volume12
    journal issue9
    journal titleEarth Interactions
    identifier doi10.1175/2007EI240.1
    journal fristpage1
    journal lastpage23
    treeEarth Interactions:;2008:;volume( 012 ):;issue: 009
    contenttypeFulltext
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