Abstract: By using the continuous flux data, meteorological data, and biological data from Jinzhou agricultural ecosystem research station in 2006, the dynamic characteristics of maize plant height (H), leaf area index (LAI), surface soil water content (SWC), roughness (Z₀), and albedo as well as their relationships were investigated, aimed to provide references for setting up dynamic parameterization schemes on maize field surface. The H and LAI were estimated with relative accumulated temperature method, and the Z₀ was calculated with wind profile equation under neutral condition. The H increased linearly and slowly before jointing stage, and came quickly to the peak value until milk stage. The change of LAI, which emerged the maximum equal to about 4 at jointing-heading stage and reduced to 1.5 in harvesting time, showed an asymmetrical n-type pattern in the growth period. The SWC was the minimum (12%-20%) in winter and the maximum (30%-36%) in summer, while the surface albedo was greater (0.2-0.3) in cold season (from November to next March), the greatest (0.5-0.7) when ground surface was covered by snow, and the smallest (0.1-0.2) in warm season (from June to September). Albedo was significantly positively correlated to LAI during the growth season. Its monthly mean diurnal pattern showed a U-shape distribution, and was affected by the LAI, canopy color and roughness. At the daytime, albedo was in the order of June < September < August < July. In no-freezing period, the albedo had a significant negative correlation with SWC, but this correlation became weaker with increasing LAI. The Z₀ had positive exponential correlations with H and LAI.

Key words: Eco-agricultural model, Management information, Decision support system, Chinese eco-agriculture