A multivariate, time series model to relate alfalfa responses to chronic, ambient sulfur dioxide exposures

A multivariate dual time series model is described here to relate chronic sulfur dioxide exposures to alfalfa responses under ambient conditions. The model considers the time series of SO(2) exposures and the growth dynamics of the crop in accounting for the final harvested biomass. The model also allows the inclusion of environmental variables such as temperature and precipitation. Coupled with the model, the 'best' regression method used facilitates the segregation or identification of the contribution of individual independent variables to the final coefficient of determination for the harvested biomass.