Effects of spatial aggregation on forest landscape model simulation in Northeastern China

Abstract

Issues of scale and aggregation become important when large range of space and time scales is considered in landscape models. However, identifying appropriate levels of aggregation to accurately represent the processes and components of ecological systems is challenging. A raster-based spatially explicit forest landscape model, LANDIS, was used to study the effects of spatial aggregation on simulated spatial pattern and ecological process in Youhao Forest Bureau of the Small Khingan Mountain in Northeastern China. The model was tested over 500 simulation years with systematically increased levels of spatial aggregation. The results show that spatial aggregation significantly influences the simulation of fire disturbance, species abundance, and spatial pattern. Simulated fire regime was relatively insensitive to grain size between 30.m and 270.m in the region. Spatial aggregation from 300.m to 480.m dramatically decreased fire return interval (FRI) and increased mean fire size. Generally, species abundance and its aggregation index (AI) remained higher level over simulation years at the fine-grained level of spatial aggregation than at coarser grains. In addition, the simulated forest dynamics was more realistic at finer grains. These results suggest that appropriate levels of spatial aggregation for the model should not be larger than 270.m.

Keywords

scale / spatial aggregation / LANDIS / fire disturbance / succession / spatial pattern / Northeastern China

References

[1] Mladenoff D. J. Wiens J. A., Moss M. R. The promise of landscape modeling: Successes, failures, and evolution [M] Issues in Landscape Ecology, 2005, Cambridge, UK: Cambridge University Press 90-100.

[2] Mladenoff D. J., Baker W. L. Mladenoff D. J., Baker W. L. Development of forest and landscape modeling approaches [M] Advances in Spatial Modeling of Forest Landscape Change: Approaches and Applications, 1999, Cambridge, UK: Cambridge University Press 1-13.

[3] Mladenoff D. J., He H. S. Mladenoff D. J., Baker W. L. Design and behavior of LANDIS, an object-oriented model of forest landscape disturbance and succession [M] Advances in Spatial Modeling of Forest Landscape Change: Approaches and Applications, 1999, Cambridge, UK: Cambridge University Press 125-162.

[4] Levin S. A. The problem of pattern and scale in ecology[J]. Ecology, 1992, 73(6): 1943-1967.

[5] He H. S., Stephen J. V., Mladenoff D. J. Effects of spatial aggregation approaches on classified satellite imagery[J]. International Journal of Geographical Information Science, 2002, 16(1): 93-109.

[6] Turner M. G., Gardner R. H., O’Neill R. V. Pattern and Process: Landscape Ecology in Theory and Practice[M]. 2001, New York: Springer.

[7] Costanza R., Maxwell T. Resolution and predictability: An approach to the scaling problem[J]. Landscape Ecology, 1994, 9(1): 47-57.

[8] Turner M. G. Landscape ecology: The effect of pattern on process[J]. Annual Review of Ecology and Systematics, 1989, 20 171-197.

[9] Malanson G. P., Armstrong M. P. Issues in spatial representation: Effects of number of cells and between-cell step size on models of environmental process[J]. Geographical and Environmental Modelling, 1997, 1 47-64.

[10] Syphard A. D., Franklin J. Spatial aggregation effects on the simulation of landscape pattern and ecological processes in Southern California plant communities[J]. Ecological Modelling, 2004, 180(1): 21-40.

[11] Li J., Li Jingwen. Regeneration and restoration of broad-leaved Korean pine forests in Lesser Xing’an Mountains of Northeast China[J]. Acta Ecologica Sinica, 2003, 23(7): 1268-1277.

[12] He H. S., Mladenoff D. J. The effects of seed dispersal on the simulation of long-term forest landscape change[J]. Ecosystems, 1999, 2(4): 308-319.

[13] Gustafson E. J., Shifley S. R., Mladenoff D. J., et al. Spatial simulation of forest succession and timber harvesting using LANDIS[J]. Canadian Journal of Forest Research, 2000, 30(1): 32-43.

[14] Brown J K, See T E. Downed Dead Woody Fuel and Biomass in the Northern Rocky Mountains [R]. USDA Forest Service General Technical Report INT-117, 1981. 1–47.

[15] Kauffman J. B., Uhl C., Cummings D. L. Fire in the Venezuelan Amazon (1): Fuel biomass and tree chemistry in the evergreen rainforest of Venezuela[J]. Oikos, 1988, 53 167-175.

[16] Shifley S. R., Thompson F. R. III, Larson D. R., et al. Modeling forest landscape change in the Missouri Ozarks under alternative management practices[J]. Computers and Electronics in Agriculture, 2000, 27(1/2/3): 7-27.

[17] He H. S., Li W., Sturtevant B. R., et al. LANDIS 4. 0 User’s Guide[M]. 2004, Columbia, USA: School of Natural Resources, University of Missouri-Columbia.

[18] He H. S., Mladenoff D. J., Radeloff V. C., et al. Integration of GIS data and classified satellite imagery for regional forest assessment[J]. Ecological Applications, 1998, 8(4): 1072-1083.

[19] Grimm V. Ten years of individual-based modelling in ecology: What have we learned and what could we learn in the future[J]. Ecological Modelling, 1999, 115(2): 129-148.

[20] Cattelino P. J., Noble I. R., Slatyer R. O., et al. Predicting the multiple pathways of plant succession[J]. Environmental Management, 1979, 3(1): 41-50.

[21] Moore A. D., Noble I. R. An individualistic model of vegetation stand dynamics[J]. Journal of Environmental Man agement, 1990, 31(1): 61-81.

[22] Zhou Yiliang. Vegetation in Small Khingan Mountains of China[M]. 1994, Beijing: Science Press.

[23] Sang W., Li Jingwen. Dynamics modeling of Korean pine forest in southern Lesser Xingan Mountains of China[J]. Acta Ecologica Sinica, 1998, 18(1): 38-47.

[24] Yan X., Fu C., Shugart H. H. Simulating the effects of climate changes on Xiaoxing’an Mountain forests[J]. Acta Phytoecologica Sinica, 2000, 24(3): 312-319.

[25] Xu Huacheng. Natural Forests of Pinus koraiensis in China[M]. 2001, Beijing: China Forestry Publishing House.

[26] Han Y., Wang Zhengquan. The spatial pattern and process of seed bank of Fraxinus mandshurica in secondary hardwood forests[J]. Acta Phytoecologica Sinica, 2002, 26(2): 170-176.

[27] Ma J., Zhuang L., Cheng D., et al. Geographic distribution of Pinus koraiensis in the world[J]. Journal of Northeast Forestry University, 1992, 20(5): 40-48.

[28] Ma J., Liu D., Zhuang L., et al. A study on correlativity between community types for natural Korean pine forest and site factors in Xiao Xing’an Mountains[J]. Journal of Northeast Forestry University, 1994, 22(5): 7-13.

[29] Zheng Huanneng. Forest Fire in Northeastern China[M]. 2000, Harbin: Northeast Forestry University Press.

[30] Wu J. Effects of changing scale on landscape pattern analysis: Scaling relations[J]. Landscape Ecology, 2004, 19(2): 125-138.

[31] He H. S., DeZonia B., Mladenoff D. J. An aggregation index (AI) to quantify spatial patterns of landscapes[J]. Landscape Ecology, 2000, 15(7): 591-601.

[32] Mladenoff D. J., DeZonia B. APACK 2.0 User’s Guide[M]. 1997, Madison, WI, USA: Department of Forest Ecology and Management, University of Wisconsin-Madison.

[33] Moody A., Woodcock C. E. The influence of scale and the spatial characteristics of landscapes on land-cover mapping using remote sensing[J]. Landscape Ecology, 1995, 10(6): 363-379.

[34] Turner M. G., O’Neill R. V., Gardner R. H., et al. Effects of changing spatial scale on the analysis of landscape pattern[J]. Landscape Ecology, 1989, 3(3/4): 153-162.

[35] Xu C., Hu Y., Chang Y., et al. Spatially explicit landscape model—LANDIS mechanism[J]. Chinese Journal of Applied Ecology, 2004, 15(5): 837-844.