Geostatistical Analysis of Picea Schrenkiana Site Index

doi:10.13466/j.cnki.lyzygl.2017.03.010

Abstract

Abstract:

Based on the geo-statistical theory,data of observation samples are used to fit the optimal variation function model and analyze spatial pattern of Picea Schrenkiana site index in the forest farm of Xinjiang Agriculture University.The results show that the frequency distribution of the site index of Picea Schrenkiana gets close to a normal distribution and has moderate degree spatial autocorrelations.After comparing the estimated results with actual results,the spherical models are confirmed with high accuracy.Picea Schrenkiana site index predictions with the ordinary kriging method are more accurate than those obtained by using inverse distance weighting.Consequently,we identify geostatistical analysis as a promising technique to map complex patterns of Picea Schrenkiana site index and suggest that it should be added to the toolbox of forest practitioners.

Key words: Picea Schrenkiana, site index, geostatistical analysis, variogram, spatial interpolation

CLC Number:

S791.18
S714

XUAN Junwei, ZHU Jing. Geostatistical Analysis of Picea Schrenkiana Site Index[J]. FOREST RESOURCES WANAGEMENT, 2017, (3): 46-50.

Figures/Tables 5

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理论模型	平均误差	平均标准误差	均方根误差	均方根标准误差
高斯模型	0.0041	3.5573	3.6210	1.0190
球形模型	-0.0015	3.5541	3.6175	1.0159
指数模型	-0.0083	3.5609	3.6308	1.0204
K-Bessel	0.0033	3.5582	3.6229	1.0192

方位/(°)	块金值	偏基台值	变程
0	7.21	4.42	74.81
45	6.90	4.83	78.96
90	7.01	4.31	76.04
135	6.88	4.70	75.60