• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
Jia Weiwei, Feng Wanju, Li Fengri. Number of missing-rings in branch of Larix olgensis plantation based on knots’ section data analysis[J]. Journal of Beijing Forestry University, 2020, 42(3): 87-98. DOI: 10.12171/j.1000-1522.20190038
Citation: Jia Weiwei, Feng Wanju, Li Fengri. Number of missing-rings in branch of Larix olgensis plantation based on knots’ section data analysis[J]. Journal of Beijing Forestry University, 2020, 42(3): 87-98. DOI: 10.12171/j.1000-1522.20190038

Number of missing-rings in branch of Larix olgensis plantation based on knots’ section data analysis

More Information
  • Received Date: January 14, 2019
  • Revised Date: June 26, 2019
  • Available Online: January 12, 2020
  • Published Date: March 30, 2020
  • ObjectiveTo improve the quality of wood, the mixed effect model of the number of missing-rings was established based on knot analysis data in order to predict the number of missing-rings and provide a theoretical basis for artificial pruning.
    MethodIn this paper, the Larix olgensis plantation in Mengjiagang Forest Farm of Heilongjiang Province of northeastern China was used as the research object. Using 1 434 knot data of 50 Larix olgensis trees, based on the Poisson distribution, the glimmix module in SAS9.4 software was used to establish the generalized linear mixed model of the number of missing-rings in the knot. The best hybrid model was selected by calculating the corresponding indicators.
    ResultConsidering the tree effects, the optimal mixed effect model is a model that adds the random effect parameters to the intercept, knot height and knot relative height. Considering the rank effect, the optimal mixed effect model is a model that adds random effect parameters to the knot relative height and the diameter of the knot. Comprehensive comparison showed that the fitting effect of the two hybrid models was better than the basic model, and the fitting effect of considering the tree effect was the best. The fitting results of the model showed that the number of missing-rings was closely related to the height of the knot and the diameter of the knot. The knots with lower position and larger diameter were inhibited by competition, but the survival ability was strong, so the number of missing-rings was large. The higher the birth position of the knot is , the better the living condition is, and the less the number of missing-rings is.
    ConclusionThrough the establishment of the mixed model of the number of missing-rings in the Larix olgensis plantation, the prediction effect of the model is tested. The test results show that the hybrid model can predict the number of missing-rings and the deviation is small. In the next study, it can be further improved to provide a theoretical basis for artificial pruning.
  • [1]
    张天雄. 落叶松枝条特征研究概述[J]. 科技创新与应用, 2014(10):255.

    Zhang T X. Summary of research on characteristics of larch branches[J]. Technological Innovation and Application, 2014(10): 255.
    [2]
    张锐. 落叶松枝条特征预测模型的研究[D]. 哈尔滨: 东北林业大学, 2013.

    Zhang R. A study of prediction model variation of larch branches[D]. Harbin: Northeast Forestry University, 2013.
    [3]
    姜立春, 潘莹, 李耀翔. 兴安落叶松枝条特征联立方程组模型及树冠形状模拟[J]. 北京林业大学学报, 2016, 38(6):1−7.

    Jiang L C, Pan Y, Li Y X. Model systems of branch characteristics and crown profile simulation for Larix gmelinii[J]. Journal of Beijing Forestry University, 2016, 38(6): 1−7.
    [4]
    姜立春, 李凤日, 张锐. 基于线性混合模型的落叶松枝条基径模型[J]. 林业科学研究, 2012, 25(4):464−469. doi: 10.3969/j.issn.1001-1498.2012.04.009

    Jiang L C, Li F R, Zhang R. Modeling branch diameter with linear mixed effects for dahurian larch[J]. Forest Research, 2012, 25(4): 464−469. doi: 10.3969/j.issn.1001-1498.2012.04.009
    [5]
    姜立春, 张锐, 李凤日. 基于线性混合模型的落叶松枝条长度和角度模型[J]. 林业科学, 2012, 48(5):53−60. doi: 10.11707/j.1001-7488.20120508

    Jiang L C, Zhang R, Li F R. Modeling branch length and branch angle with linear mixed effects for Dahurian larch[J]. Scientia Silvae Sinicae, 2012, 48(5): 53−60. doi: 10.11707/j.1001-7488.20120508
    [6]
    王烁, 董利虎, 李凤日. 人工长白落叶松枝条存活模型[J]. 北京林业大学学报, 2018, 40(1):57−66.

    Wang S, Dong L H, Li F R. Branch survival models of planted Larix olgensis tree[J]. Journal of Beijing Forestry University, 2018, 40(1): 57−66.
    [7]
    苗铮, 董利虎, 李凤日, 等. 基于GLMM的人工林红松二级枝条分布数量模拟[J]. 南京林业大学学报(自然科学版), 2017, 41(4):121−128.

    Miao Z, Dong L H, Li F R, et al. Modelling the vertical variation in the number of second order branches of Pinus koraiensis plantation trees through GLMM[J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2017, 41(4): 121−128.
    [8]
    陈东升, 孙晓梅, 李凤日. 落叶松人工林枝条直径和长度的非线性混合模型[J]. 南京林业大学学报(自然科学版), 2015, 39(6):74−80.

    Chen D S, Sun X M, Li F R. Nonlinear mixed models of branch diameter and length in larch plantation[J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2015, 39(6): 74−80.
    [9]
    Andrews S R, Gill L S. Determining the time branches on living trees have been dead[J]. Journal of Forestry, 1939, 37(12): 930−935.
    [10]
    Bartels G L, Remme W J, Pillay M, et al. Effects of L-propionylcarnitine on ischemia-induced myocardial dysfunction in men with angina pectoris[J]. The American Journal of Cardiology, 1994, 74(2): 125−130. doi: 10.1016/0002-9149(94)90084-1
    [11]
    贾炜玮. 落叶松人工林树冠构筑型及枝生长动态的研究[D]. 哈尔滨: 东北林业大学, 2002.

    Jia W W. Crown architecture and dynamics of branch growth in a Larix olgensis plantation[D]. Harbin: Northeast Forestry University, 2002.
    [12]
    卢军, 李凤日. 樟子松人工林的节子寿命及年轮丢失数[J]. 林业科学, 2007, 43(12):16−21. doi: 10.3321/j.issn:1001-7488.2007.12.003

    Lu J, Li F R. Long and missing ring of knots in Pinus sylvertris var. mongolica plantation[J]. Scientia Silvae Sinicae, 2007, 43(12): 16−21. doi: 10.3321/j.issn:1001-7488.2007.12.003
    [13]
    贾炜玮. 樟子松人工林枝条生长及节子大小预测模型的研究[D]. 哈尔滨: 东北林业大学, 2006.

    Jia W W. Predicting models of branch growth and knot properties for Mongolian scots pine in plantation[D]. Harbin: Northeast Forestry University, 2006.
    [14]
    Trincado G, Burkhart H E. A framework for modeling the dynamics of first-order branches and spatial distribution of knots in loblolly pine trees[J]. Canadian Journal of Forest Research, 2009, 39(3): 566−579. doi: 10.1139/X08-189
    [15]
    Mäkinen H. Effect of stand density on the branch development of silver birch (Betula pendula Roth) in central Finland[J]. Trees, 2002, 16(4/5): 346−353.
    [16]
    Bhandarkar S M, Faust T D, Tang M J. CATALOG: a system for detection and rendering of internal log defects using computer tomography[J]. Machine Vision and Applications, 1999, 11(4): 171−190. doi: 10.1007/s001380050100
    [17]
    Samson M, Bindzi I, Kamoso L M. Représentation mathématique des noeuds dans le tronc des arbres[J]. Canadian Journal of Forest Research, 1996, 26(2): 159−165. doi: 10.1139/x26-019
    [18]
    Yaacob W F W, Lazim M A, Wah Y B. A practical approach in modelling count data[C]//Proceedings of regional conference on statistical sciences. Kota Bharu: Malaysia Institute of Statistics, 2010: 176−183.
    [19]
    孙龙, 尚喆超, 胡海清. Poisson回归模型和负二项回归模型在林火预测领域的应用[J]. 林业科学, 2012, 48(5):126−129. doi: 10.11707/j.1001-7488.20120519

    Sun L, Shang Z C, Hu H Q. Application of a Poisson regression model and a negative binomial regression model in the forest fire forecasting[J]. Scientia Silvae Sinicae, 2012, 48(5): 126−129. doi: 10.11707/j.1001-7488.20120519
    [20]
    郑杨, 董利虎, 李凤日. 黑龙江省红松人工林枝条分布数量模拟[J]. 应用生态学报, 2016, 27(7):2172−2180.

    Zheng Y, Dong L H, Li F R. Branch quantity distribution simulation for Pinus koraiensis plantation in Heilongjiang Province, China[J]. Chinese Journal of Applied Ecology, 2016, 27(7): 2172−2180.
    [21]
    张雄清, 雷渊才, 雷相东, 等. 基于计数模型方法的林分枯损研究[J]. 林业科学, 2012, 48(8):54−61. doi: 10.11707/j.1001-7488.20120809

    Zhang X Q, Lei Y C, Lei X D, et al. Predicting stand-level mortality with count data models[J]. Scientia Silvae Sinicae, 2012, 48(8): 54−61. doi: 10.11707/j.1001-7488.20120809
    [22]
    Xiang W, Lei X D, Zhang X Q. Modelling tree recruitment in relation to climate and competition in semi-natural Larix-Picea-Abies forests in northeast China[J]. Forest Ecology and Management, 2016, 382: 100−109. doi: 10.1016/j.foreco.2016.09.050
    [23]
    张智昌. 落叶松人工林枝条生长与节子大小预测模型的研究[D]. 哈尔滨: 东北林业大学, 2010.

    Zhang Z C. Predicting models of branch growth and knot properties for larch plantation[D]. Harbin: Northeast Forestry University, 2010.
    [24]
    王曼霖, 董利虎, 李凤日. 基于Possion回归混合效应模型的长白落叶松一级枝数量模拟[J]. 北京林业大学学报, 2017, 39(11):45−55.

    Wang M L, Dong L H, Li F R. First-order branch number simulation for Larix olgensis plantation through Poisson regression mixed effect model[J]. Journal of Beijing Forestry University, 2017, 39(11): 45−55.
    [25]
    陈东升, 金钟跃, 李凤日, 等. 樟子松节子的大小及分布[J]. 东北林业大学学报, 2007, 35(5):19−21. doi: 10.3969/j.issn.1000-5382.2007.05.006

    Chen D S, Jin Z Y, Li F R, et al. Knot size and distribution of Mongolian pine plantations[J]. Journal of Northeast Forestry University, 2007, 35(5): 19−21. doi: 10.3969/j.issn.1000-5382.2007.05.006
    [26]
    康萌萌. 广义线性混合模型及其SAS实现[J]. 统计教育, 2009(10):50−54.

    Kang M M. Generalized linear mixed models and implementation with SAS[J]. Statistical Thinktank, 2009(10): 50−54.
    [27]
    Pinheiro J C, Bates D M. Mixed-effects models in S and S-plus[M]. New York: Springer, 2000.
    [28]
    Jordan M I, Ghahramani Z, Jaakkola T S, et al. An introduction to variational methods for graphical models[J]. Machine Learning, 1999, 37(2): 183−233. doi: 10.1023/A:1007665907178
    [29]
    姜立春, 李凤日. 混合效应模型在林业建模中的应用[M]. 北京: 科学出版社, 2014.

    Jiang L C, Li F R. Application of mixed effect model in forestry modeling[M]. Beijing: Science Press, 2014.
    [30]
    贾炜玮, 崔璨, 李凤日. 基于混合效应模型的人工红松节子属性[J]. 应用生态学报, 2018, 29(1):33−43.

    Jia W W, Cui C, Li F R. Knot attributes of Korean pine plantation based on mixed effect model[J]. Chinese Journal of Applied Ecology, 2018, 29(1): 33−43.
    [31]
    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.

    Li F R, Wang Z F, Wang B S. Studies on the effective crown development of Larix olgensis (I): determination of the effective crown[J]. Journal of Northeast Forestry University, 1996, 24(1): 1−8.
    [32]
    Parent S, Morin H, Messier C. Missing growth rings at the trunk base in suppressed balsam fir saplings[J]. Canadian Journal of Forest Research, 2002, 32(10): 1776−1783. doi: 10.1139/x02-102
    [33]
    周永斌, 姜萍, 王庆礼. 长白山不同针叶树耐阴性的形态适应及内源激素调控[J]. 应用生态学报, 1999, 10(5):525−528. doi: 10.3321/j.issn:1001-9332.1999.05.004

    Zhou Y B, Jiang P, Wang Q L. Morphological plasticity of shade-tolerance of three conifers in Changbai Mountain and regulation of hormone[J]. Chinese Journal of Applied Ecology, 1999, 10(5): 525−528. doi: 10.3321/j.issn:1001-9332.1999.05.004
    [34]
    刘艳艳. 樟子松人工林树冠结构的研究[D]. 哈尔滨: 东北林业大学, 2005.

    Liu Y Y. Crown structure for Mongolian pine plantations[D]. Harbin: Northeast Forestry University, 2005.
    [35]
    张智昌, 李凤日, 陈东升. 落叶松人工林节子不同生长阶段年轮数量的研究[J]. 植物研究, 2010, 30(3):320−324. doi: 10.7525/j.issn.1673-5102.2010.03.012

    Zhang Z C, Li F R, Chen D S. Knots, rings in different development phases for larch plantations[J]. Bulletin of Botanical Research, 2010, 30(3): 320−324. doi: 10.7525/j.issn.1673-5102.2010.03.012
  • Cited by

    Periodical cited type(11)

    1. 李捷,孙文涛,庞晓攀,徐雪婷,杨欢,郭正刚. 高原鼠兔干扰对高寒草甸植物物种和功能性状beta多样性的影响. 生态学报. 2024(07): 2993-3003 .
    2. 尹才佳,马龙,邹书珍,康迪. 地震滑坡体恢复后植物β多样性格局及其环境响应. 西北植物学报. 2023(02): 316-325 .
    3. 陈瑶,余雯静,陈珑,郭汝凤,吴承祯,李键. 基于同质园的不同品种茶树叶性状变异及经济谱. 应用与环境生物学报. 2023(03): 720-729 .
    4. Jianghao ZHAO,Yingying LIU,Xiaoguo BAI,Anping LI,Yanjiao LI,Shiping CHENG,Guang QI. Phylogenetic Structure of Low Altitude Forest Communities in Baotianman Mountain. Asian Agricultural Research. 2022(06): 31-36 .
    5. 王健铭,曲梦君,王寅,冯益明,吴波,卢琦,何念鹏,李景文. 青藏高原北部戈壁植物群落物种、功能与系统发育β多样性分布格局及其影响因素. 生物多样性. 2022(06): 62-75 .
    6. 杨欢,王寅,王健铭,夏延国,李景文,贾晓红,吴波. 环境过滤和扩散限制对库姆塔格沙漠南缘植物群落β-多样性的影响. 中国沙漠. 2021(03): 147-154 .
    7. 高辉,刘丽娟,方江平. 西藏色季拉山森林群落沿海拔梯度变化格局. 广西师范大学学报(自然科学版). 2020(06): 122-130 .
    8. 周昌艳,王彬,邓云,乌俊杰,曹敏,林露湘. 林冠结构是局域尺度木本植物功能性状beta多样性形成的重要驱动力. 生物多样性. 2020(12): 1546-1557 .
    9. 庞志强,姜丽莎,缪祥蓉,亓峥,卢炜丽. 昆明市主要园林植物叶性状及叶经济谱研究. 西南林业大学学报(自然科学). 2019(04): 53-60 .
    10. 刘丽杰,尹航,金慧,赵莹,贾翔. 基于生态文明视角下长白山生物多样性保护研究探索. 吉林农业. 2018(04): 97 .
    11. 朱济友,于强,刘亚培,覃国铭,李金航,徐程扬,何韦均. 植物功能性状及其叶经济谱对城市热环境的响应. 北京林业大学学报. 2018(09): 72-81 . 本站查看

    Other cited types(14)

Catalog

    Article views (11416) PDF downloads (73) Cited by(25)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return