基于单木水平和林分水平的杉木兼容性林分蓄积量模型

doi:10.11707/j.1001-7488.20140113

Abstract

Abstract:

It is important to model stand volume of Chinese fir(Cunninghamia lanceolata)for improving forest management and revealing forest growth law. According to the different simulation objects, stand volume of Chinese fir can be predicted from tree level and stand level. In this study, the two level models were combined by forecast combination. Forecast combination combines information from different models, disperse errors from different models, and then improve forecast performance. In this paper, weights of different models in the forecast combine model were calculated by optimal weight. Based on the periodic data of the Chinese fir in Jiangxi Province, forecast combination was used to estimate Chinese fir stand volume from tree-level model, and stand-level model. The results showed that the forecast combination for predicting Chinese fir stand volume outperformed over tree-level model, and stand-level model respectively. It also improved the compatibility of Chinese fir stand volume growth models from different levels of models and provided a method for integration of Chinese fir stand volume.

Key words: stand volume, compatibility, forecast combination, Chinese fir (Cunninghamia lanceolata)

CLC Number:

S758.5

Zhang Xiongqing, Zhang Jianguo, Duan Aiguo. Compatibility of Stand Volume Model for Chinese Fir Based on Tree-Level and Stand-Level[J]. Scientia Silvae Sinicae, 2014, 50(1): 82-87.

References

杜纪山, 洪玲霞. 2000. 杉木人工林分蓄积和断面积生长率的预估模型. 北京林业大学学报, 22(5): 83-85.
(Du J S, Hong L X. 2000. Prediction model of volume and basal area growth rate for Cunninghamia lanceolata plantations. Journal of Beijing Forestry University, 22(5): 83-85. [in Chinese] )
李秀珍, 孔纪名, 王成华. 2008. 最优加权组合模型在滑坡变形预测中的应用. 自然灾害学报, 17(2): 53-57.
(Li X Z,, Kong J M, Wang C H. 2008. Application of combined model with optimum weight in prediction of landslide deformation. Journal of Natural Disasters, 17(2): 53-57. [in Chinese] )
孟宪宇. 1996. 测树学. 2版. 北京: 中国林业出版社, 267-295.
唐小我. 1992. 最优组合预测方法及其应用. 数理统计与管理, 11(1): 31-35.
于晓秋, 葛家麒, 刘长海. 2007. 组合预测方法在黑龙江垦区大豆产量预测中的应用. 数学的实践与认识, 37(24): 27-32.
(Yu X Q, Ge J Q, Liu C H. 2007. The applications of the method of the combination forecasting in the forecasting of soybean yield in Heilongjiang reclamation area. Mathematics in Practice and Theory, 37(24): 27-32. [in Chinese] )
许炜敏, 陈友飞, 陈明华, 等. 2012. 基于BP神经网络的杉木林蓄积量估测研究. 福建林学院学报, 32(4): 310-315.
(Xu W M, Chen Y F, Chen M H, et al. 2012. Research on the estimation of Chinese fir volume based on BP neural networks. Journal of Fujian College of Forestry, 32(4): 310-315. [in Chinese] )
张雄清, 雷渊才, 陈新美, 等. 2009. 组合预测法在林分断面积生长预估中的应用研究. 北京林业大学学报, 32(4): 6-11.
(Zhang X Q, Lei Y C, Chen X M, et al. 209. Application of forecast combination in prediction of stand basal area. Journal of Beijing Forestry University, 32(4): 6-11. [in Chinese] )
张雄清, 雷渊才. 2010. 基于定期调查数据的全林分年生长预测模型研究. 中南林业科技大学学报, 30(4): 69-74.
(Zhang X Q, Lei Y C. 2010. Annual whole-stand growth prediction model based on periodic inventory data. Journal of Central South University of Forestry & Technology, 30(4): 69-74. [in Chinese] )
张雄清, 雷渊才, 陈新美. 2011. 林分断面积组合预测模型权重确定的比较. 林业科学, 47(7): 36-41.
(Zhang X Q, Lei Y C, Chen X M. 2011. Comparison of weight computation in stand basal area combined model. Scientia Silvae Sinicae, 47(7): 36-41. [in Chinese] )
张艳, 马川生, 韦可. 2006. 组合预测中权重的确定研究——最小绝对值法的应用. 交通运输系统工程与信息, 6(4): 125-129.
(Zhang Y, Ma C S, Wei K. 2006. The study of estimation of weight coefficient in combination forecast models-the application of the least absolute value model. Journal of Transportation Systems Engineering and Information Technology, 6(4): 125-129. [in Chinese] )
Bates J M, Granger C W J. 1969. The combination of forecasts. Operation Research Quarterly, 20(4): 451-468.
Granger C W J, Newbold P. 1977. Forecasting economic time series. Academic Press, New York, U. S.
Newbold P, Granger C W J. 1974. Experience with forecasting univariate time series and the combination of forecasts. Journal of the Royal Statistical Society: Series A, 137(2): 131-165.
Qin J, Cao Q V. 2006. Using disaggregation to link individual-tree and whole-stand growth models. Canadian Journal of Forest Research, 36(4): 953-960.
Qin J, Cao Q V, Blouin D C. 2007. Projection of a diameter distribution through time. Canadian Journal of Forest Research, 37(1): 188 -194.
Ritchie M W, Hann D W. 1997. Implications of disaggregation in forest growth and yield modeling. Forest Science, 43(2): 223-233.
Winkler R L, Makridakis S. 1983. The combination of forecasts. Journal of the Royal Statistical Society: Series A, 146(2): 150-157.
Yue C, Kohnle U, Hein S. 2008. Combining tree-and stand-level models: a new approach to growth prediction. Forest Science, 54(5): 553-566.
Zhang L, Moore J A, Newberry J D. 1993. Disaggregating stand volume growth to individual trees. Forest Science, 39(2): 295-308.
Zhang X, Lei Y, Cao Q V. 2010. Compatibility of stand basal area predictions based on forecast combination. Forest Science, 56(6): 552-557.

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Compatibility of Stand Volume Model for Chinese Fir Based on Tree-Level and Stand-Level

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