伏牛山区栓皮栎天然次生林地位指数ANN模型构建
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摘要
研究编制了伏牛山地区栓皮栎天然次生林地位指数表,以期为当地栓皮栎天然次生林后期的经营管理和保护工作奠定基础。根据伏牛山区调查的120块栓皮栎天然次生林标准地和180株平均优势木解析木数据,采用人工神经网络建模技术,建立了优势木平均高ANN模型,拟合精度为98.66%。基准年龄为40a,依据平均优势高与地位指数的关系,编制了地位指数表。用未参加建模的60块标准地数据进行落点检验,检验精度达到96.67%。结果表明,ANN模型构建地位指数模型方法简单,所建模型精度高,应用推广能力强。
The paper designed the site index table for Quercus variabilis natural secondary forest in the Funiu Mountainous area in order to lay the foundation for the later management and protection of the forest.According to the survey data of 120 sample plots and the analytical data of 180 average dominant trees,and based on artificial neural network(ANN)modeling technique,the ANN model of the dominant tree average height was established.The fitting precision of the model was 98.66%.The ANN growth model of the dominant tree average height was selected as oriented curve,and the age of these trees was about 40 years.The site index table was established depending on the relationship of the dominant tree average height and the site index.The test precision was 96.67%through test of falling point with the data from 60 sample plots which were not used to build the growth model.The results indicated that it was simple to establish the site index model of ANN,which had promising precision and better application potential.
The paper designed the site index table for Quercus variabilis natural secondary forest in the Funiu Mountainous area in order to lay the foundation for the later management and protection of the forest.According to the survey data of 120 sample plots and the analytical data of 180 average dominant trees,and based on artificial neural network(ANN)modeling technique,the ANN model of the dominant tree average height was established.The fitting precision of the model was 98.66%.The ANN growth model of the dominant tree average height was selected as oriented curve,and the age of these trees was about 40 years.The site index table was established depending on the relationship of the dominant tree average height and the site index.The test precision was 96.67%through test of falling point with the data from 60 sample plots which were not used to build the growth model.The results indicated that it was simple to establish the site index model of ANN,which had promising precision and better application potential.
引文
[1]祝维,张西,贾黎明.伏牛山地区栓皮栎天然次生林地位指数表的编制[J].东北林业大学学报,2017,12(45):32-37.
[2]张瑜,贾黎明,郑聪慧,等.秦岭地区栓皮栎天然次生林地位指数表的编制[J].林业科学,2014,50(4):47-54.ZHANG Y,JIA L M,ZHENG C H,et al.Establishment of a site index table for Quercus variabilis natural secondary stand in Qinling Mountains[J].Scientia Silvae Sinicae,2014,50(4):47-54.(in Chinese)
[3]侯元兆,幸良,国吉.栎类经营[M].北京:中国林业出版社,2017.
[4] SABATIA C O,BURKHART H E.Predicting site index of plantation loblolly pine from biophysical variables[J].Forest Ecology and Management,2014,326:142-156.
[5] AERTSEN W,KINT W,VMUYS B,et al.Effects of scale and scaling in predictive modelling of forest site productivity[J].Environmental Modelling and Software,2012(31):19-27.
[6]陈晨,刘光武.马尾松人工林树高BP模型研究与应用[J].安徽农业科学,2012,40(14):8175-8177.
[7]宋朝枢.伏牛山自然保护区科学考察集[M].北京:中国林业出版社,1994.
[8]罗伟祥.中国栓皮栎[M].北京:中国林业出版社,2009.
[9]张益,陈丹丹,郝凡等.麻栎和栓皮栎叶脉序与环境因子关系研究[J].西北林学院学报,2018,33(1):31-36.ZHANG Y,CHEN D D,HAO F,et al.Relationship between leaf venation and environment in Querecus acutissima and Q.variablis[J].Journal of Northwest Forestry University,2018,33(1):31-36.(in Chinese)
[10]孟宪宇.测树学[M].北京:中国林业出版社,2006.
[11]黄家荣.森林生长的人工神经网络建模[M].北京:中国农业出版社,2006.
[12]陈晨,刘光武.Weibull函数在杉木人工林直径分布中的研究[J].绿色科技,2017,3:59-61.
[13]郑聪慧,贾黎明.华北地区栓皮栎天然次生林地位指数表的编制[J].林业科学,2013,49(2):79-85.
[14]黄国胜,马炜,王雪军,等.基于一类清查数据的福建省立地质量评价技术[J].北京林业大学学报,2014,36(3):1-8.HUANG G S,MA W,WANG X J,et al.Forestland site quality evaluation of Fujian Province based on continuous forest inventory data[J].Journal of Beiing Forestry University,2014,36(3):1-8.(in Chinese)
[15]吴恒,党坤良,田相林,等.秦岭林区天然次生林与人工林立地质量评价[J].林业科学,2015,51(4):78-88.WU H,DANG K L,TIAN X L et al.Evaluating site quality for secondary forests and plantation in Qinling Mountains[J].Scientia Silvae Sinicae,2015,51(4):78-88.(in Chinese)
[16]徐罗,亢新刚,刘洋,等.长白山天然云冷杉针阔混交林地位指数导向曲线的模拟[J].东北林业大学学报,2014(4):32-37.
[17]陈晨,刘光武,康文涛,等.马尾松人工林地位指数BP模型研究[J].西北林学院学报,2009,24(2):128-130.CHEN C,LIU G W,KANG W T,et al,Site index BP model of masson pine fortunei plantation[J].Journal of Northwest Forestry University,2009,24(2):128-130.(in Chinese)
[18]朱伟杰,高光芹,黄家荣,等.毛白杨农田防护林林分密度指数模型[J].西北林学院学报,2011,26(1):151-154.ZHU W J,GAO G Q,HUANG J R,et al.Density index model of Populus shelterbelts[J].Journal of Northwest Forestry University,2011,26(1):151-154.(in Chinese)
[2]张瑜,贾黎明,郑聪慧,等.秦岭地区栓皮栎天然次生林地位指数表的编制[J].林业科学,2014,50(4):47-54.ZHANG Y,JIA L M,ZHENG C H,et al.Establishment of a site index table for Quercus variabilis natural secondary stand in Qinling Mountains[J].Scientia Silvae Sinicae,2014,50(4):47-54.(in Chinese)
[3]侯元兆,幸良,国吉.栎类经营[M].北京:中国林业出版社,2017.
[4] SABATIA C O,BURKHART H E.Predicting site index of plantation loblolly pine from biophysical variables[J].Forest Ecology and Management,2014,326:142-156.
[5] AERTSEN W,KINT W,VMUYS B,et al.Effects of scale and scaling in predictive modelling of forest site productivity[J].Environmental Modelling and Software,2012(31):19-27.
[6]陈晨,刘光武.马尾松人工林树高BP模型研究与应用[J].安徽农业科学,2012,40(14):8175-8177.
[7]宋朝枢.伏牛山自然保护区科学考察集[M].北京:中国林业出版社,1994.
[8]罗伟祥.中国栓皮栎[M].北京:中国林业出版社,2009.
[9]张益,陈丹丹,郝凡等.麻栎和栓皮栎叶脉序与环境因子关系研究[J].西北林学院学报,2018,33(1):31-36.ZHANG Y,CHEN D D,HAO F,et al.Relationship between leaf venation and environment in Querecus acutissima and Q.variablis[J].Journal of Northwest Forestry University,2018,33(1):31-36.(in Chinese)
[10]孟宪宇.测树学[M].北京:中国林业出版社,2006.
[11]黄家荣.森林生长的人工神经网络建模[M].北京:中国农业出版社,2006.
[12]陈晨,刘光武.Weibull函数在杉木人工林直径分布中的研究[J].绿色科技,2017,3:59-61.
[13]郑聪慧,贾黎明.华北地区栓皮栎天然次生林地位指数表的编制[J].林业科学,2013,49(2):79-85.
[14]黄国胜,马炜,王雪军,等.基于一类清查数据的福建省立地质量评价技术[J].北京林业大学学报,2014,36(3):1-8.HUANG G S,MA W,WANG X J,et al.Forestland site quality evaluation of Fujian Province based on continuous forest inventory data[J].Journal of Beiing Forestry University,2014,36(3):1-8.(in Chinese)
[15]吴恒,党坤良,田相林,等.秦岭林区天然次生林与人工林立地质量评价[J].林业科学,2015,51(4):78-88.WU H,DANG K L,TIAN X L et al.Evaluating site quality for secondary forests and plantation in Qinling Mountains[J].Scientia Silvae Sinicae,2015,51(4):78-88.(in Chinese)
[16]徐罗,亢新刚,刘洋,等.长白山天然云冷杉针阔混交林地位指数导向曲线的模拟[J].东北林业大学学报,2014(4):32-37.
[17]陈晨,刘光武,康文涛,等.马尾松人工林地位指数BP模型研究[J].西北林学院学报,2009,24(2):128-130.CHEN C,LIU G W,KANG W T,et al,Site index BP model of masson pine fortunei plantation[J].Journal of Northwest Forestry University,2009,24(2):128-130.(in Chinese)
[18]朱伟杰,高光芹,黄家荣,等.毛白杨农田防护林林分密度指数模型[J].西北林学院学报,2011,26(1):151-154.ZHU W J,GAO G Q,HUANG J R,et al.Density index model of Populus shelterbelts[J].Journal of Northwest Forestry University,2011,26(1):151-154.(in Chinese)
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