Abstract: Based on the 2004 in situ data of crop yield, remote sensing inversed photosynt hetically active radiation (PAR), fraction of photosynthetically active radiatio n (fPAR), climate, and soil moisture in 83 typical winter wheat sampli ng field of 45 counties in Shijiazhuang, Hengshui, and Xingtai of Hebei Province , a simplified model for calculating the light use efficiency (ε) of winter wheat in Huanghuaihai Plain was established. According to the crop accumulated b iomass from March to May and corrected by harvest index, the quantitative relati onship between crop biomass and crop yield for winter wheat was set up, and appl ied in the 235 counties in Huanghuaihai Plain region of Hebei Province and Shand ong Province and validated by the official crop statistical data at county level in 2004. The results showed that the root mean square error (RMSE) of predicted winter wheat yield in study area was 2385 kg·hm-2, and the relative er ror was 428%, suggesting that it was feasible to predict winter wheat yield by crop biomass estimation based on remote sensing data.

Key words: wintering waterfowl, East Dongting Lake, environmental factor, canonical correspondence analysis (CCA), tvalue biplot.