青岛崂山黑松立木结构特征模型
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摘要
通过对191株黑松立木结构特征因子的实测,基于立木地径、胸径、冠幅、树高等特征因子的关系分析,构建了黑松立木结构特征模型。研究表明:黑松地径(D_0)、距地面10cm直径(D_(0.1))、胸径(D_(1.3))、树高(H)、枝下高(h)、冠幅(CW)等指标之间均存在极显著的正相关关系。D_(1.3)-D_0、D_(1.3)-D_(0.1)、D_0-D_(0.1)之间的相关模型可分别用线性式、多项式和多项式表示,模型的决定系数R~2分别为0.950 8、0.939 3和0.969 5。黑松树高胸径(HD_(1.3))之间的关系用指数式拟合优度最佳,决定系数R~2为0.768 9。黑松的胸径D_(1.3)与冠幅CW之间存在显著的线性相关关系,其决定系数R~2为0.805 8。
Structure feature,including diameter at various height,tree height,crown width,stem form,is the foundation for forest survey,forest appraisal and forest management.Based on data of 191 sample trees of Pinus thunbergii,including ground diameter(D_0),diameter at 10 cm height(D_(0.1)),diameter at breast height(D_(1.3)),tree height(H),under crown height(h)and crow width(CW),Pinus thunbergii has very significant positive correlation.Result shows that there is positive correlation among feature factors of D_0,D_(0.1),D_(1.3),Hand CW.The relational model for D_(1.3)(dependent variable)and D_0(independent variable)is linear,and the models for D_(1.3)(dependent variable)and D_(0.1)(independent variable),D_0(dependent variable)and D_(0.1)(independent variable)are both polynomial,while the adjusted R~2 is 0.950 8,0.939 3 and 0.969 5,respectively.Whereas,the model for H(dependent variable)and D_(1.3)(independent variable)is exponential,and adjusted R~2 is 0.768 9.Furthermore,there is linear correlation between D_(1.3)(dependent variable)and CW(independent variable),and the adjusted R~2 is 0.805 8.
Structure feature,including diameter at various height,tree height,crown width,stem form,is the foundation for forest survey,forest appraisal and forest management.Based on data of 191 sample trees of Pinus thunbergii,including ground diameter(D_0),diameter at 10 cm height(D_(0.1)),diameter at breast height(D_(1.3)),tree height(H),under crown height(h)and crow width(CW),Pinus thunbergii has very significant positive correlation.Result shows that there is positive correlation among feature factors of D_0,D_(0.1),D_(1.3),Hand CW.The relational model for D_(1.3)(dependent variable)and D_0(independent variable)is linear,and the models for D_(1.3)(dependent variable)and D_(0.1)(independent variable),D_0(dependent variable)and D_(0.1)(independent variable)are both polynomial,while the adjusted R~2 is 0.950 8,0.939 3 and 0.969 5,respectively.Whereas,the model for H(dependent variable)and D_(1.3)(independent variable)is exponential,and adjusted R~2 is 0.768 9.Furthermore,there is linear correlation between D_(1.3)(dependent variable)and CW(independent variable),and the adjusted R~2 is 0.805 8.
引文
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[2]Weaver S A,Ucar Z,Bettinger P,et al.Assessing the Accuracy of Tree Diameter Measurements Collected at a Distance[J].Croatian Journal of Forest Engineering,2015,36(1):73-83
[3]姚爱静,朱清科,张宇清,等.林分结构研究现状与展望[J].林业调查规划,2005,30(2):70-76
[4]闭海秀,黄清经.桂东区杉木地径与胸径、树高、材积相关分析[J].广西林业科学,2014(4):444-449
[5]曾慎松.巨尾桉人工林地径与胸径、树高相关模型的研究[J].福建林业科技,2007,34(1):40-42
[6]王伟.无人机影像森林信息提取与模型研建[D].北京:北京林业大学,2015
[7]李祥,郑淯文,戴楚彦,等.基于无人机影像的森林信息获取研究进展[J].世界林业研究,2017,30(4):41-46
[8]李亚东,冯仲科,明海军,等.无人机航测技术在森林蓄积量估测中的应用[J].测绘通报,2017(4):63-66
[9]刘清旺,李世明,李增元,等.无人机激光雷达与摄影测量林业应用研究进展[J].林业科学,2017,53(7):134-148
[10]许景伟,李传荣,李琪,等.沿海黑松防护林立木材积表的编制[J].山东林业科技,2003(4):22-25
[11]王金荣.杉木天然林林木地径与胸径的关系研究——以福建五一国有林场为例[J].林业资源管理,2015(3):121-124
[12]曾伟生.利用误差变量联立方程组建立南方杉木一元立木材积模型和胸径地径回归模型[J].中南林业调查规划,2012,31(4):1-4
[13]张日升,刘广,于洪军,等.辽西北沙地樟子松地径与胸径相关关系及其应用研究[J].防护林科技,2006(3):19-21
[14]熊斌梅,汪正祥,李中强,等.七姊妹山自然保护区黄杉年龄胸径树高的相关性研究[J].林业资源管理,2016(4):41-46
[15]王小明,李凤日,贾炜玮,等.帽儿山林场天然次生林阔叶树种树高-胸径模型[J].东北林业大学学报,2013(12):116-120
[16]徐悦,陈昌华,蒋之富,等.天然赤松胸径与树高相关模型的研究[J].林业调查规划,2008,33(3):56-58
[17]张凝,冯跃文,张晓丽,等.结合航空影像纹理和光谱特征的单木冠幅提取[J].北京林业大学学报,2015,37(3):13-19
[18]袁晓红,李际平.杉木人工林南北坡向树高-胸径生长曲线研究[J].西北林学院学报,2012,27(2):180-183
[19]杜纪山,李希菲.杉木树高曲线参数稳定性的研究[J].林业科学研究,1998,11(2):169-174