This paper researched the dynamic of growth and development of 8 species forages in Inner Mongolia classical grassland, and measured the forage’s biomass, height, and the meteorological factors affect their growth.Changes of its own growth characteristics and rate is different for each forage,according to theLogistic modeling theory,use time scale as the control factor establishLogistics model for forage’s biomass and height.The simulation results show thatLogistic model simulates have a higher fitting accuracy for the average height growth and biomass accumulation of forage. In multiple regression analysis based on the method, analysis of the correlation between forage’s growth characteristics and meteorological factors about the 8 kinds of forage and establish multiple regression equation.The results show that regression analysis of the performance of the several factors of synergy in the all observed meteorological factors impact on forage growth and development,but the temperature and precipitation are the main factor to promote the growth and development of the community as a whole. Regression analysis between the biomass accumulation and height growth ofArtemisia frigida and meteorological factors was no significant correlation. Due to the different forage completion of its growth and development of various environmental factors have different the degree of requirements.Therefore, to do primary and secondary correlation analysis of between different forage growth characteristics and the various meteorological factors ues thegray correlation advantage analysis.The analysis results show that eight kinds of forage biomass accumulation rely on six meteorological factors in descending order isAllium bidentatum, Stipa grandis, Leymu chinensis, Artemisia frigida, Agropyro michnoi, Caragana microphylla, Achnatherum sibiricum, Carex korshinskyi;Height growth of its dependence descending order isAllium bidentatum, Caragana microphylla, Agropyro michnoi, Leymu chinensis, Achnatherum sibiricum, Carex korshinskyi, Stipa grandis, Artemisia frigida. Gray correlation advantage analysis showed the 6 categories of meteorological factors effect of forage biomass descending sort is ground temperature, temperature, precipitation,sunshine duratio, evaporation, relative humidity;effect of height descending sort is ground temperature, temperature, sunshine duration, precipitation, evaporation, relative humidity. Analysis the correlation among the six meteorological factors use the gray correlation advantage analysis.Evaporation and relative humidity can be taken to reflect the temperature and moisture of indirect indicators,Combined with the regression analysis have the net result that temperature and moisture are the main interference factors to theforage growth.
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