Application of ordinary Kriging method in entomologic ecology

Abstract

Abstract: Geostatistics is a statistic method based on regional variables and using the tool of variogram to analyze the spatial structure and the patterns of organism. In simulating the variogram within a great range, though optimal simulation cannot be obtained, the simulation method of a dialogue between human and computer can be used to optimize the parameters of the spherical models. In this paper, the method mentioned above and the weighted polynomial regression were utilized to simulate the one-step spherical model, the two-step spherical model and linear function model, and the available nearby samples were used to draw on the ordinary Kriging procedure, which provided a best linear unbiased estimate of the constraint of the unbiased estimation. The sum of square deviation between the estimating and measuring values of varying theory models were figured out,and the relative graphs were shown. It was showed that the simulation based on the two-step spherical model was the best simulation, and the one-step spherical model was better than the linear function model.

CLC Number:

Q968.1

ZHANG Runjie, ZHOU Qiang, CHEN Cuixian, WANG Shousong . Application of ordinary Kriging method in entomologic ecology[J]. Chinese Journal of Applied Ecology, 2003, (1): 90-92.

References

[1] Fang W-H (方伟华). 1999. The application of regionalized variable theory in rebuilding historical flood distribution pattern.J Nat Disast(自然灾害学报),8(2): 48～55(in Chinese)
[2] Grobko LS, Liebhold AM, Hohn ME. 1955. Model to predict gypsy moth (Lepidoptera:Lymantriidae)defoliation using kriging and logistic regression.Environ Entomol,24(3):529～537
[3] Hohn ME, Liebhold AM, Gribko LS. 1993. Geostatistical model for forecasting spatial dynamics of defoliation caused by gypsy moth (Lepidoptera: Lymantriidae). Environ Entomol,22(5):1066～1075
[4] Johnson DJ. 1989. Spatial autocorrelation,spatial modeling,and improvements in grasshopper survey methodology.Can Ent,6121:579～588
[5] Li H-B(李哈滨), Wang Z-Q(王政权), Wang Q-C(王庆成). 1998. Theory and methodology of spatial heterogeneity quantification.Chin J Appl Ecol(应用生态学报), 9(6): 651～657 (in Chinese)
[6] Liebhold AM, Elkinton JS, Zhou G,et al. 1995. Regional correlation of gypsy moth (Lepidoptera: Lymantriidae) defoliation with counts of egg masses, pupae, and male moths.Environ Entomol,24(2):193～203
[7] Lu W-D(卢纹岱),Zhu Y-L(朱一力),Sha J(沙捷),et al.1997. SPSS for Windows from Rudiment to Master. Beijing: Electronic Industry Press. (in Chinese)
[8] Schotzko DJ, O'Leeffe LE. 1989. Geostatistical description of the spatial distribution of Lygus hesperus (Heteraptera: Miridae) in Lentils.J Econ Entomol,82(5):1277～1288
[9] Shi G-S(石根生), Li D-M(李典谟). 1997. Geostatistic analysis of spatial pattern of Dendrolimus punctatus. Chin J Appl Ecol(应用生态学报),8(6): 612～616(in Chinese)
[10] Wang G-D(王广德),Guo C-L(过常龄). 1987. Applicaton of the Kriging technique in geography.Acta Geogra Sin(地理学报),42(4):366～375(in Chinese)
[11] Wang R-D(王仁铎),Hu G-D(胡光道). 1988. Linear Geostatistics.Beijing:Geology Press. (in Chinese)
[12] Wang Z-Q(王政权).1999.Geostatistics Applied in Ecology. Beijing:Science Press. 109～126(in Chinese)
[13] Xiao K-Y(肖克炎).1994.Dialogue of variogram simulation between human and computer in geostatistics.J Changchun Univ Earth Sci(长春地质学院学报),24(2):218～223(in Chinese)
[14] Zhang R-J(张润杰), Zhou Q(周强), Gu D-X(古德祥). 1998. Analysis of the spatial structure and pattern of Nilaparvata lugens population in rice fields.J Southwest Agric Univ(西南农业大学学报), 20(5): 449～456 (in Chinese)
[15] Zhang X-H(张宣华). 1999. Master MATLAB 5. Beijing: Qinghua University Press.(in Chinese)
[16] Zhou G-F(周国法), Xu Y-M(徐汝梅). 1998. Research on the biogeostatistics. Beijing: Science Press.3～5 (in Chinese)
[17] Zhou Q(周强), Wang J-W(王建武), Zhang R-J(张润杰). 2001. Simulation and display methods of spatial data landscape ecology.Chin J Appl Ecol(应用生态学报),12(1):141～144(in Chinese)