基于理论模型及其差分方程的湖北省杉木立地指数表研制
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摘要
以湖北省杉木主要栽培区的92块标准地优势木解析资料为基础数据,利用7种理论生长方程以及其中5种模型的差分方程进行优势高生长模型的拟合,选择较优树高生长模型分别采用导向曲线法和差分方程法编制立地指数表,并通过检验和对比分析选择较适于本地区杉木人工林立地指数表的编制方法和类型。结果表明:理论生长方程及其差分方程构建的树高生长模型均具有良好的拟合优度,两者的决定系数分别超过了0.85和0.98,经模拟检验和残差分析,后者拟合精度明显优于前者,而理查德理论模型及其差分方程均优于其他生长方程构建的模型。选择理查德模型和考尔夫模型差分方程为基础方程,以20 a为标准年龄和2 m为指数级,分别采用相应的导向曲线法和差分方程法编制单形和多形立地指数表,两者均达到了显著性检验,但多形立地指数表预测精度更高,更适于湖北省杉木人工林的立地评价。
Chinese fir is an important timber species in Hubei province. The establishment of site index table of Chinese fir plantation in Hubei Province can not only improve the site quality evaluation of Chinese fir plantation in Hubei Province, but also guide the production practice of Chinese fir plantation in Hubei Province. Based on the analytical data of 92 standard dominant trees in the main cultivation area of Chinese fir in Hubei province, the paper used seven kinds of theoretical growth equations and five difference equations to fit the dominant height growth model. The optimum tree height growth model was selected to compile the site index table by the guide curve method and the difference equation method respectively, and through the test and the contrast analysis, the plantations of Chinese fir were selected to be more suitable for this area. The method and type of site index table. The results show that both the theoretical growth equation and the difference equation have good goodness of fit, and their determining coefficients exceed 0.85 and 0.98 respectively, which are tested by simulation and residual analysis. The fitting accuracy of the latter is obviously better than that of the former, while the Richard's theoretical model and the difference equation are better than the models constructed by other growth equations. The difference equations of Richard and Caulf models are chosen as the basic equations, the standard age of 20 a and 2 m are taken as the exponential order, and the corresponding guide curve method and difference equation method are used to compile the simplex and polymorphic site index tables respectively. All of them have reached the applicable accuracy test, but the prediction accuracy of the polymorphic site index table is higher, which is more suitable for the site evaluation of Chinese fir plantation in Hubei province.
Chinese fir is an important timber species in Hubei province. The establishment of site index table of Chinese fir plantation in Hubei Province can not only improve the site quality evaluation of Chinese fir plantation in Hubei Province, but also guide the production practice of Chinese fir plantation in Hubei Province. Based on the analytical data of 92 standard dominant trees in the main cultivation area of Chinese fir in Hubei province, the paper used seven kinds of theoretical growth equations and five difference equations to fit the dominant height growth model. The optimum tree height growth model was selected to compile the site index table by the guide curve method and the difference equation method respectively, and through the test and the contrast analysis, the plantations of Chinese fir were selected to be more suitable for this area. The method and type of site index table. The results show that both the theoretical growth equation and the difference equation have good goodness of fit, and their determining coefficients exceed 0.85 and 0.98 respectively, which are tested by simulation and residual analysis. The fitting accuracy of the latter is obviously better than that of the former, while the Richard's theoretical model and the difference equation are better than the models constructed by other growth equations. The difference equations of Richard and Caulf models are chosen as the basic equations, the standard age of 20 a and 2 m are taken as the exponential order, and the corresponding guide curve method and difference equation method are used to compile the simplex and polymorphic site index tables respectively. All of them have reached the applicable accuracy test, but the prediction accuracy of the polymorphic site index table is higher, which is more suitable for the site evaluation of Chinese fir plantation in Hubei province.
引文
[1]吴中伦.杉木[M].北京:中国林业出版社,1984.
[2]沈国舫.森林培育学[M].北京:中国林业出版社,2001.
[3]盛炜彤.中国人工林及其育林体系[M].北京:中国林业出版社,2014.
[4]NANOS N,CALAMA R,CA?ADAS N,et al.Spatial stochastic modelling of cone production from stone pine(Pinus pinea L.)stands in the Spanish Northern Plateau[C]//Modelling forest systems.Workshop on the interface between reality,modelling and the parameter estimation processes,Sesimbra,Portugal,2002:2-5.
[5]PAYANDEH B,WANG Y.Relative accuracy of a new base-age invariant site index model[J].Forest Science,1994,40(2):341-348.
[6]HARRY Eriksson,ULF Johansson,ANDRES Kiviste.A siteindex model for pure and mixed stands of Betula pendula and Betula pubescens in Sweden[J].Scandinavian Journal of Forest Research,1997,12(2):149-156.
[7]马丰丰,贾黎明,段劫,等.北京山区侧柏人工林立地指数表的编制[J].北京林业大学学报,2008,30(6):78-82.
[8]郑淑霞,王占林,马玉林.青海东部山区青杨幼龄林立地指数表的编制与应用[J].实验研究,2015(4):12-17.
[9]孟宪宇,陈东来.山杨次生林立地指数表编制方法的研究[J].北京林业大学学报,2001,23(3):47-51.
[10]马友平,艾训儒,宋鄂平,等.长岭岗林场日本落叶松人工林立地指数表的编制[J].湖北民族学院学报(自然科学版),2001,19(1):24-27.
[11]ROBERT M,WILLIAM K,CARLETON B E.Site index curves for white fir in the southwestern United States developed using a guide curve method[J].Western Journal of Applied Forestry,2006,21(2):87-93.
[12]WILLARD H C,GERRIT H,JAMES S T,et al.Site index curves and growth intercepts for young white spruce plantations in north central Ontario[J].Northern Journal of Applied Forestry,2006,23(4):257-263.
[13]张伟,杨传强,赵青.山东省侧柏人工林立地指数表的编制[J].山东林业科技,2014(3):6-10.
[14]韩培新.韶关市尾巨桉、巨尾桉短周期工业原料林立地指数表的编制[J].林业调查规划,2012,37(4):1-4.
[15]段爱国,张建国.杉木人工林优势高生长模拟及多形地位指数方程[J].林业科学,2004,40(6):13-19.
[16]李品德.广南县杉木人工林立地指数表的编制[J].林业调查规划,2009,34(5):7-11.
[17]朱光玉,康立,何海梅,等.基于树高-年龄分级的杉木人工林多形立地指数曲线模型的研究[J].中南林业科技大学学报,2017,37(7):18-29.
[18]孟宪宇.测树学[M].北京:中国林业出版社,2006:107-108.
[19]曹元帅,孙玉军.基于广义代数差分法的杉木人工林地位指数模型[J].南京林业大学学报(自然科学版),2017,41(5):79-84.
[20]郑勇平,曾建福.浙江省杉木实生林多形地位指数曲线模型[J].浙江林学院学报,1993,10(1):55-62.
[21]相聪伟.杉木人工林立地指数方程的研究[D].北京:中国林业科学研究院,2010.
[22]杨传强,李士美,孔雨光,等.山东省松类人工林立地指数表的编制与应用[J].林业资源管理,2018(2):43-47.
[23]刘财富,李立,梁玉堂,等.辽宁省刺槐人工林立地指数表的编制[J].东北林业大学学报,1998,26(2):15-19.
[24]刘发林,刘四海,肖化顺,等.臭松天然次生林地位指数模型研究[J].中南林业科技大学学报,2017,37(11):24-29.
[2]沈国舫.森林培育学[M].北京:中国林业出版社,2001.
[3]盛炜彤.中国人工林及其育林体系[M].北京:中国林业出版社,2014.
[4]NANOS N,CALAMA R,CA?ADAS N,et al.Spatial stochastic modelling of cone production from stone pine(Pinus pinea L.)stands in the Spanish Northern Plateau[C]//Modelling forest systems.Workshop on the interface between reality,modelling and the parameter estimation processes,Sesimbra,Portugal,2002:2-5.
[5]PAYANDEH B,WANG Y.Relative accuracy of a new base-age invariant site index model[J].Forest Science,1994,40(2):341-348.
[6]HARRY Eriksson,ULF Johansson,ANDRES Kiviste.A siteindex model for pure and mixed stands of Betula pendula and Betula pubescens in Sweden[J].Scandinavian Journal of Forest Research,1997,12(2):149-156.
[7]马丰丰,贾黎明,段劫,等.北京山区侧柏人工林立地指数表的编制[J].北京林业大学学报,2008,30(6):78-82.
[8]郑淑霞,王占林,马玉林.青海东部山区青杨幼龄林立地指数表的编制与应用[J].实验研究,2015(4):12-17.
[9]孟宪宇,陈东来.山杨次生林立地指数表编制方法的研究[J].北京林业大学学报,2001,23(3):47-51.
[10]马友平,艾训儒,宋鄂平,等.长岭岗林场日本落叶松人工林立地指数表的编制[J].湖北民族学院学报(自然科学版),2001,19(1):24-27.
[11]ROBERT M,WILLIAM K,CARLETON B E.Site index curves for white fir in the southwestern United States developed using a guide curve method[J].Western Journal of Applied Forestry,2006,21(2):87-93.
[12]WILLARD H C,GERRIT H,JAMES S T,et al.Site index curves and growth intercepts for young white spruce plantations in north central Ontario[J].Northern Journal of Applied Forestry,2006,23(4):257-263.
[13]张伟,杨传强,赵青.山东省侧柏人工林立地指数表的编制[J].山东林业科技,2014(3):6-10.
[14]韩培新.韶关市尾巨桉、巨尾桉短周期工业原料林立地指数表的编制[J].林业调查规划,2012,37(4):1-4.
[15]段爱国,张建国.杉木人工林优势高生长模拟及多形地位指数方程[J].林业科学,2004,40(6):13-19.
[16]李品德.广南县杉木人工林立地指数表的编制[J].林业调查规划,2009,34(5):7-11.
[17]朱光玉,康立,何海梅,等.基于树高-年龄分级的杉木人工林多形立地指数曲线模型的研究[J].中南林业科技大学学报,2017,37(7):18-29.
[18]孟宪宇.测树学[M].北京:中国林业出版社,2006:107-108.
[19]曹元帅,孙玉军.基于广义代数差分法的杉木人工林地位指数模型[J].南京林业大学学报(自然科学版),2017,41(5):79-84.
[20]郑勇平,曾建福.浙江省杉木实生林多形地位指数曲线模型[J].浙江林学院学报,1993,10(1):55-62.
[21]相聪伟.杉木人工林立地指数方程的研究[D].北京:中国林业科学研究院,2010.
[22]杨传强,李士美,孔雨光,等.山东省松类人工林立地指数表的编制与应用[J].林业资源管理,2018(2):43-47.
[23]刘财富,李立,梁玉堂,等.辽宁省刺槐人工林立地指数表的编制[J].东北林业大学学报,1998,26(2):15-19.
[24]刘发林,刘四海,肖化顺,等.臭松天然次生林地位指数模型研究[J].中南林业科技大学学报,2017,37(11):24-29.