Prediction of aboveground biomass of Leymus chinensis grassland

Two mathematical models were built for predicting aboveground biomass of Leymus chinensis grassland according to quantification theory.Test results showed that the correlation between predicted aboveground biomass and field survey aboveground biomass was remarkable.The multiple correlation coefficients of aboveground biomass of fresh weight and dry weight were 0 97,0 95,respectively. Of the six selected factors,including three ecological features and three vegetation features,the most important element affecting the aboveground biomass,according to their scoring ranges,was monthly rainfall before measuring.The second and third important elements were total nitrogen content of soil(depth 30cm) and monthly accumulation of temperature≥10℃ before measuring.The intensities of other factors affecting the biomass were total coverage of the community,mean height of the community and Leymus chinensis population growth state.In the models,not only the ecological features were used for the prediction,but the vegetation features were also used for the prediction.This provided a new path to predict grassland aboveground biomass accurately.