title: [Spatial pattern of soil fertility in Bashan tea garden: a prediction based on environmental auxiliary variables].
abstract: Taking topographic factors and NDVI as auxiliary variables, and by using regression-kriging method, the spatial variation pattern of soil fertility in Bashan tea garden in the hilly area of Fuyang City was explored. The spatial variability of the soil fertility was mainly attributed to the structural factors such as relative elevation and flat/vertical curvature. The lower the relative elevation, the worse the soil fertility was. The overall soil fertility level was relatively high, and the area with lower soil fertility only accounted for 5% of the total. By using regression-kriging method with relative elevation as auxiliary variable, the prediction accuracy of soil fertility was obviously higher than that by using ordinary kriging method, with the mean error and root mean square error being 0. 028 and 0. 108, respectively. It was suggested that the prediction method used in this paper could fully reflect the effects of environmental variables on soil fertility , improve the prediction accuracy about the spatial pattern of soil fertility, and provide scientific basis for the precise management of tea garden.
authors: Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China. qlf25@163.com
authors: Le-feng
authors: LF
authors: Qin
authors: Chao
authors: C
authors: Yang
authors: Fen-fang
authors: FF
authors: Lin
authors: Ning
authors: N
authors: Yang
authors: Xin-yu
authors: XY
authors: Zheng
authors: Hong-wei
authors: HW
authors: Xu
authors: Ke
authors: K
authors: Wang
mesh_terms: D002681:China; D003627:Data Interpretation, Statistical; D017753:Ecosystem; D004777:Environment; D005544:Forecasting; D012044:Regression Analysis; D017215:Satellite Communications; D012987:Soil / Q000032:analysis*; D013662:Tea / Q000254:growth & development*
chemical_list: D012987:Soil; D013662:Tea