Time Series Modelling of Carbon Concentration and Carbon Flux in the Lower Yangtze River, 1963-1997

K.H. Tiedemann (Canada)


Time-series models, least squares regressions, maximum likelihood regressions, carbon, reservoirs, fertilizer management.


In recent years, increased attention has been paid to the role of riverine carbon as a link between carbon cycling between the land and the ocean. The quantity of carbon carried by rivers to estuaries and coastal zones is a critical part of the carbon cycle. The Yangtze River is a significant source of for its estuary and for coastal areas of the China Sea. There is strong evidence that organic carbon loads delivered by the Yangtze River have fallen steadily for the past forty years, with implications for the volume and composition of photoplankton in the affected regions. This study uses ordinary least squares and maximum likelihood regression to analyze the determinants of organic carbon concentration levels and organic carbon flux levels in the lower Yangtze River.

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