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GAO Hui-lin, LI Feng-ri, DONG Li-hu. Crown-shape model of a Pinus koraiensis plantation in northeastern China[J]. Journal of Beijing Forestry University, 2015, 37(3): 76-83. DOI: 10.13332/j.1000-1522.20140324
Citation: GAO Hui-lin, LI Feng-ri, DONG Li-hu. Crown-shape model of a Pinus koraiensis plantation in northeastern China[J]. Journal of Beijing Forestry University, 2015, 37(3): 76-83. DOI: 10.13332/j.1000-1522.20140324

Crown-shape model of a Pinus koraiensis plantation in northeastern China

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  • Received Date: June 17, 2014
  • Revised Date: November 04, 2014
  • Published Date: March 30, 2015
  • Using the data of 4 538 branches from 79 Pinus koraiensis in Mengjiagang forest farm of Heilongjiang Province, northeastern China, we deduced continuous segmented function with biological constraints of tree crown profile (crown width at top of tree is 0 and the maximum value at inflection point) based on the segmented regression of spline function theory, and developed the crown profile models (i.e. segmented parabola equation,segmented Mitscherlich equation and segmented power equation) for Pinus koraiensis. The goodness-of-fitting index,validation results of the models and the reasonability from estimating the inflection points were used to evaluate all models and select the optimal model for predicting crown profile of Pinus koraiensis. With the re-parameterization of the model parameters and the analysis of the correlation between the parameters and tree variables, diameter at the breast height (DBH) was introduced into the optimal model, and the crown-shape predicting model for Pinus koraiensis was established. The results showed that the segmented parabola function was the optimal equation to describe crown profile for Pinus koraiensis. The crown size and parameters of the crown profile were positively correlated with DBH. For the crown-shape predicting model after re-parameterization, the coefficient of determination (R2a) was 0.659 6, the standard error (Sy.x) of estimation was 0.524 5 and the mean square error (MSE) was 0.227 9. Meanwhile, the prediction precision (p) was 97.58%. With the increase of DBH, the range of inflection point of Pinus koraiensis crown profile (relative crown depth) is between 0.72-0.95 with a mean value of 0.81. On the whole, the crow-shape predicting model with DBH as independent variable and the tree top as constraint performed well in predicting the crown profile for Pinus koraiensis, which provides basis for estimating crown structure of Pinus koraiensis in plantations.
  • [1]
    赵东. 不同宽度杨树农田防护林带树冠结构特征[D]. 郑州:河南农业大学, 2011.
    [1]
    ZHAO D. The crown structure in relation to width of Polar field shelterbelts[D]. Zhengzhou: Henan Agricultural University, 2011.
    [2]
    LIN Y R. Study of crown structure in young growth and middle-aged Cunninghamia lanceolata forest [D]. Fuzhou:Fujian Agriculture and Forestry University, 2013.
    [2]
    林月容. 杉木中幼林树冠结构研究[D]. 福州:福建农林大学, 2013.
    [3]
    郭孝玉. 长白落叶松人工林树冠结构及生长模型研究[D].北京: 北京林业大学, 2013.
    [3]
    GUO X Y. Crown structure and growth model for Larix olgensis plantation [D]. Beijing:Beijing Forestry University, 2013.
    [4]
    WEI X H, SUN Y J, HUANG D H. Study on crownstructure for Masson pine plantation [J]. Journal of Northwest AF University: Nat Sci Ed, 2012,40(11):125-130,138.
    [4]
    魏晓慧, 孙玉军, 黄冬辉. 马尾松人工林树冠结构研究[J]. 西北农林科技大学学报:自然科学版, 2012, 40(11):125-130,138.
    [5]
    WILL R E, NARAHARI N V, SHIVER B D, et al. Effects of planting density on canopy dynamics and stem growth for intensively managed loblolly pine stands [J]. Forest Ecology and Management, 2005,205(1-3): 29-41.
    [5]
    LU J, LI F R, ZHANG H R, et al.A crown ratio model for dominant species in secondary forests in Mao'er mountain [J]. Scientia Silvae Sinicae, 2011, 47(6): 70-76.
    [6]
    卢军, 李凤日, 张会儒, 等. 帽儿山天然次生林主要树种冠长率模型[J]. 林业科学, 2011, 47(6): 70-76.
    [6]
    LI J Q, ZANG R G, JIANG Y X.Review on studies of architecture and morphological diversity for Fagus sylvatica L. [J]. Acta Ecologica Sinica, 2001, 21(1): 151-155.
    [7]
    LI F R, WANG Z F, WANG B S. Studies onthe effective crown development of Larix olgensis(Ⅰ): determination of the effective crown [J]. Journal of Northeast Forestry University, 1996, 24(1): 1-8.
    [7]
    OKER-BLOM P. Photosynthetic radiation regime and canopy structure in modeled forest stands[J]. Acta Forestalia Fennica, 1986,197:1-44.
    [8]
    CAMPO F C, MARSHALL P, LEMAY V, et al. A crown profile model for Pinus radiata D. Don in northwestern Spain[J]. Forest Ecology and Management,2009, 257(12):2370-2379.
    [8]
    LI F R. Modeling crown profile of Larix olgensis trees [J]. Scientia Silvae Sinicae, 2004, 40(5): 16-24.
    [9]
    LIU Z G, LIU J M, LI F R, et al.Fractal analysis of crown structure in Pinus sylvestris var. mongolica plantation [J]. Bulletin of Botanical Research, 2005,25(4):83-88.
    [9]
    KERSHAW J A, JR MAGUIRE D A, HANN D W.Longevity and duration of radial growth in Douglas-fir branches[J].Can J For Res,1990,20(11):1690-1695.
    [10]
    LU J.Crown structure and optimal spatial management for secondary forest in Maoershan mountain [D]. Haerbin:Northeast Forestry University, 2008.
    [10]
    李俊清, 臧润国, 蒋有绪. 欧洲水青冈(Fagus sylvatical L.)构筑型与形态多样性研究[J]. 生态学报,2001, 21(1): 151-155.
    [11]
    QIN Y P, ZHANG H Q, CHEN Y F, et al. Canopy shape simulation of Chinese fir plantation based on simple competition index [J]. Forest Research, 2014,27(3): 363-366.
    [11]
    李凤日, 王治富, 王保森. 落叶松人工林有效冠动态研究(Ⅰ):有效冠的确定[J]. 东北林业大学学报, 1996, 24(1): 1-8.
    [12]
    李凤日. 长白落叶松人工林树冠形状的模拟 [J]. 林业科学, 2004, 40(5): 16-24.
    [12]
    LIU Z G, LI F R, YU J C. The study of individual tree model on Larix olgensis plantation [J]. Bulletin of Botanical Research, 2003, 23(2): 237-244.
    [13]
    YANG Y J. Spline analysis for two regression models[D]. Shanghai: East China Normal University, 2013.
    [13]
    刘兆刚, 刘继明, 李凤日, 等. 樟子松人工林树冠结构的分形分析[J]. 植物研究, 2005, 25(4): 83-88.
    [14]
    卢军. 帽儿山天然次生林树冠结构和空间优化经营[D].哈尔滨: 东北林业大学, 2008.
    [14]
    CHEN D S, LI F R, SUN X M, et al. Models to predict knot size for larch plantation using linear mixed model [J]. Scientia Silvae Sinicae, 2011, 47(11): 121-128.
    [15]
    DONG L H, LI F R, JIA W W, et al. Compatible biomass models for main tree species with measurement error in Heilongjiang Province of northeast China[J].Chinese Journal of Applied Ecology, 2011, 22(1): 2653-2661.
    [15]
    CLUZEAU C, LE GOFF N, OTTORINI J M. Development of primary branches and crown profile of Fraxinus escrlvior[J]. Can J For Res, 1994, 24: 2315-2323.
    [16]
    ROEH R L, MAGUIRE D A. Crown profile models based on branch attributes in coastal Douglas-fir[J]. Forest Ecology and Management,1997, 96: 77-100.
    [17]
    覃阳平, 张怀清, 陈永富, 等. 基于简单竞争指数的杉木人工林树冠形状模拟[J]. 林业科学研究, 2014,27(3): 363-366.
    [18]
    JOSEPH C, JACK W, RICHARA M, et al. The determination of tree crown volume by layers[R]. USDA For Serv Res Pap, 1976.
    [19]
    刘兆刚,李凤日,于金成. 落叶松人工林单木模型的研究[J]. 植物研究, 2003, 23(2): 237-244.
    [20]
    MOHREN G M J. Simulation of forest growth, applied to Douglas fir stands in the Netherlands[M]. Wageningen: PUDOC, 1987.
    [21]
    杨玉娇. 基于样条函数的两类回归模型的研究[D].上海:华东师范大学,2013.
    [22]
    MAX T A, BURKHART H E. Segmented polynomial regression applied to taper equations[J]. Forest Sci, 1976,22:283-289.
    [23]
    陈东升,李凤日,孙晓梅,等. 基于线性混合模型的落叶松人工林节子大小预测模型[J]. 林业科学,2011,47(11):121-128.
    [24]
    董利虎, 李凤日, 贾炜玮,等. 含度量误差的黑龙江省主要树种生物量相容性模型[J]. 应用生态学报, 2011, 22(1): 2653-2661.
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