Simulation of landscape pattern of old growth forests of Korean pine by block kriging

Wang Zhengquan , Zhang Yandong , Wang Qingcheng , Harbin Li

Journal of Forestry Research ›› 1997, Vol. 8 ›› Issue (3) : 131 -136.

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Journal of Forestry Research ›› 1997, Vol. 8 ›› Issue (3) : 131 -136. DOI: 10.1007/BF02855404
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Simulation of landscape pattern of old growth forests of Korean pine by block kriging

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Abstract

The study area was located in Liangshui Natural Reserve. Xaoxing’an Mountains. Northeastern China Korean pine forests are the typical forest ecosystem and landscapes in this region. It is a high degrees of spatial and temporal heterogeneity at different scales, which effected on landscape pattern and processes. In this paper we used the data of 144 plots and semivariogram to analyze spatial heterogeneity of old growth forests of Korean pine in landscape level. Model for forest variations by isotropic semivariogram is linear with sill. The spatial heterogeneity is dependent on scales and directions in Korean pine forests. Patterns of forest types in space were resulted from complex interactions between physical and biological forces. We used 20 metres for interpolation interval to estimate the values of unsampled area. Comparing the results with field data, block kriging and mapping are an effective techniques to simulate landscape pattern.

Keywords

Korean pine / Semivariogram / Block kriging / Simulation / Landscape pattern

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Wang Zhengquan, Zhang Yandong, Wang Qingcheng, Harbin Li. Simulation of landscape pattern of old growth forests of Korean pine by block kriging. Journal of Forestry Research, 1997, 8(3): 131-136 DOI:10.1007/BF02855404

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References

[1]

Bartrell S.M. et al. et al. Turner et al. et al. A spatial-temporal model of nitrogen dynamics in a deciduous forest watershed quantitative methods in landscape ecology, 1991 New York, USA: Springer-Verlage

[2]

Burrough P.A. Multiscale sources of spatial variation in soil. I. The application of fractal concepts to nested levels of soil variation Journal of Soil Science, 1983, 34: 577-597.

[3]

Burrough P.A. Principles of geographical information systems for land resources assessment, 1986 Oxford, UK: Clarendon Press

[4]

Burrough P.A. et al. Jongman R.H. et al. Spatial aspects of ecological data Data analysis in community and landscape ecology, 1987 The Netherlands: Pudoc Wageningen 89-125.

[5]

Dake Chen et al. Ecological Review of Korean pine forests J. of Northeast forestry Univ., 1982, 9(2): 1-18.

[6]

Cressie N.A.C. Statistics for spatial data, 1991 New York: Wiley

[7]

Forman R.T. et al. Landscape Ecology, 1986 New York: Wiley

[8]

Fortin L. A general model of populations in patchy habitats Applied Mathematics and Computation, 1988, 27: 53-66.

[9]

Gardner R.H. et al. Neutral models for the analysis of broad-scale landscape pattern Landscape Ecol., 1987, 1: 19-28.

[10]

Gardner R.H. et al. et al. Turner et al. et al. Pattern. process, and predictability: The use of neutal models for landscape analysis Quantitative methods in landscape ecology, 1991 New York: Spring-Verlag

[11]

Isaaks E.H. et al. An introduction to applied geostatistics, 1989 New York New York, USA: Oxford University Press

[12]

Journel A et al. Mining geostatistics, 1987 London, UK: Academic Press

[13]

Kirge D.G. Two dimensional weighted moving average trend surfaces for ore-evaluation J. of South African Inst. Min. Metal., 1966, 66: 13-38.

[14]

Kolasa J. et al. Ecological heterogeneity, 1991 New York, USA: Springer-Verlag

[15]

Legendre P. et al. Spatial pattern and ecological analysis Vegentatio, 1989, 80: 107-138.

[16]

Levin S.A. et al. Dynamical models of ecosystems and epidemics Future Generation Computer Systems, 1989, 5: 265-274.

[17]

Li H. et al. Landscape ecology: a new conceptual framework in ecology Advances in Ecology(Chines), 1988, 5(1): 23-33.

[18]

Li H. et al. On definition and quantification of heterogeneity Oikos, 1995, 73(2): 280-284.

[19]

Li J. et al. Forests of Heilongjiang, 1993 Beijing. China: Forestry Press

[20]

Matheron G. Principles of geostatistics Economic Geology, 1963, 58: 1246-1266.

[21]

Milne B.T. Measuring the fractal dimension of landscape Appl. Math. Comput., 1988, 27: 67-79.

[22]

O’Neill R.V. et al. Indices of landscape pattern Landscape Ecology, 1988, 1: 153-162.

[23]

Palmer M.W. Fractal geometry: a toll for describing spatial patterns of plant communities Vegetation, 1988, 75: 91-102.

[24]

Risser P.G. Landscape Ecology: state-of-art. In landscape heterogeneity and disturbance, 1987 New York: Springer-Verlag 3-14.

[25]

Robertson G.P. Geostatistics in ecology: interpolating with known variance Ecology, 1987, 68: 744-748.

[26]

Robertson G.P. et al. Spatial variability in a successional plant community: patterns of nitrogen availability Ecology, 1988, 69: 1517-1524.

[27]

Romme W.H. Fir and landscape diversity in subaloine forests of Yellow stone National Park Ecological Monographs, 1982, 52: 199-221.

[28]

Rossi R.E. et al. Geostatistical tools for modeling and interpreting ecological spatial dependence Ecological Monographs, 1992, 62: 277-314.

[29]

Sklar F.H. et al. et al. Turner et al. et al. The development of spatial simulation modeling for landscape ecology: A review and prognosis Quantitative methods in landscape ecology, 1991 New York: Spring-Verlag

[30]

Trangmar B.B. et al. Application of geostatistics to spatial studies of soil properties Advanced Agronomy, 1985, 38: 44-94.

[31]

Turner M.G. Landscape heterogeneity and disturbance, 1987 New York, New York, USA: Springer-Verlag

[32]

Turner M.G. Landscape Ecology: The effect of pattern on process Annu. Rev. Ecol. Syet., 1989, 20: 171-197.

[33]

Turner M.G. et al. Quantitative methods in landscape ecology. The analysis and interpretation of landscape heterogeneity, 1991 New York, USA: Springer-Verlag

[34]

Webster R. Quantitative spatial analysis of soil in the field Advance in Soil Science, 1985, 3: 1-70.

[35]

Wiens. J.A. 1988. The analysis of landscape patterns: interdisciplinary seminar in ecology. Colorado State Univ.

[36]

Wang Y. et al. Korean Pine Forests, 1996 Harbin. China: Northeasi Forestry University Press

[37]

Wang Z.Q. et al. Quantification of spatial heterogeneity in old growth forests of korean pine J. of Forestry Research, 1997, 8(2): 65-69.

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