Correlation between atmospheric CO2 concentration and vegetation greenness in North America: CO2 fertilization effect

Climate Research

P. Megonigal¹  M. Kafatos¹  C. Lim¹ 

关键词: Global change;    Climate change;    CO2 fertilization effect;    NDVI;    Remote sensing;    Vegetation;   

DOI  :  10.3354/cr028011

来源: Inter-Research Science Publishing

【 摘 要 】

ABSTRACT: The possibility that rising atmospheric CO₂ concentrations are influencing plant growth in contemporary ecosystems has received little attention, and the studies that exist have been done on a small spatial scale. We correlated themonthly rate of relative change in normalized differenced vegetation index (NDVI) from advanced very high resolution radiometer (AVHRR) data to the rate of change in atmospheric CO₂ concentration during the natural vegetation growing season forevidence of a possible CO₂ fertilization effect on vegetation development. The study addressed seasonal and annual patterns in spatially averaged NDVI for 3 different ecological regions in North America from 1982 to 1992. Correlations betweenCO₂ and NDVI were calculated for 3 different lag conditions. Relatively high and positive correlation coefficients were found when the monthly rate of change in NDVI was 1 mo lagged to that for CO₂, which suggests, but does notprove, a CO₂ fertilization effect on natural vegetation development. Generally, the correlation coefficients changed from relatively high and positive correlations when NDVI was lagged 1 mo behind CO₂ to relatively high and negativecorrelations when CO₂ was lagged 1 mo behind NDVI. A general increase in the annual maximum greenness of the vegetation was also found in most of the regions studied from 1982 to 2001. The desert and humid temperate regions in the eastern partof North America showed an increase in the annual minimum vegetation greenness, while the southern humid temperate regions showed relatively high correlations between the minimum NDVI and atmospheric CO₂ concentration in interannualcomparisons. The results of this study are generally consistent with the notion of a contemporary CO₂ fertilization effect, but they also demonstrate how remotely-sensed data can be used to explore the effects of global change at large scalesin order to complement experimental results obtained on smaller temporal and spatial scales.

【 授权许可】

Unknown