基于随机森林的杉木适生性预测研究

高若楠; 苏喜友; 谢阳生; 雷相东; 陆元昌; 高若楠; 苏喜友; 谢阳生; 雷相东; 陆元昌

doi:10.13332/j.1000-1522.20170260

[1]

黄云鹏.森林培育学[M].北京:高等教育出版社, 2002.

HUANG Y P.Silviculture[M].Beijing:Higher Education Press, 2002.

[2]

郭艳荣, 刘洋, 吴保国.福建省宜林地立地质量的分级与数量化评价[J].东北林业大学学报, 2014, 42(10):54-59. doi: 10.3969/j.issn.1000-5382.2014.10.012

GUO Y R, LIU Y, WU B G.Evaluating dividing rank and quantification of site quality of suitable land for forest in Fujian Province, China[J].Journal of Northeast Forestry University, 2014, 42(10):54-59. doi: 10.3969/j.issn.1000-5382.2014.10.012

[3]

CURT T, BOUCHAUD M, AGRECH G.Predicting site index of Douglasfir plantations from ecological variables in the Massif Central area of France[J].Forest Ecology and Management, 2001, 149(1):61-74. http://cn.bing.com/academic/profile?id=33a58ff18489b10367956465b4786ef8&encoded=0&v=paper_preview&mkt=zh-cn

[4]

LOUWA J H, SCHOLES M.Forest site classification and evaluation:a South African perspective[J].Forest Ecology and Management, 2002, 171(1-2):153-168. doi: 10.1016/S0378-1127(02)00469-3

[5]

张伏全, 魏汗功, 陈远材.滇西南地区立地龙竹质量评价的研究[J].林业科学, 1994, 30(2):104-110. http://www.cnki.com.cn/Article/CJFDTotal-LYKE402.001.htm

ZHANG F Q, WEI H G, CHEN Y C.Study on site quality evaluation of fragon bamboo in Southwest Yunnan[J].Scientia Silvae Sinicae, 1994, 30(2):104-110. http://www.cnki.com.cn/Article/CJFDTotal-LYKE402.001.htm

[6]

黄家荣, 马天晓, 王艳梅, 等.基于BP网络的无林地立地质量评价模型研究[J].山地农业生物学报, 2006, 25(6):479-483. doi: 10.3969/j.issn.1008-0457.2006.06.003

HUANG J R, MA T X, WANG Y M, et al.Forest site evaluation model studies on the basis of BP Neural Network[J].Journal of Mountain Agriculture and Biology, 2006, 25(6):479-483. doi: 10.3969/j.issn.1008-0457.2006.06.003

[7]

IVERSON L R, PRASAD A M, MATTHEWS S N, et al.Estimating potential habitat for 134 eastern US tree species under six climate scenarios[J].Forest Ecology and Management, 2008, 254:390-406. doi: 10.1016/j.foreco.2007.07.023

[8]

PRASAD A M, IVERSON L R, LIAW A.Newer classification and regression tree technique:bagging and random forests for ecological prediction[J].Ecosystems, 2006, 9(2):181-199. doi: 10.1007/s10021-005-0054-1

[9]

DONG L J, LI X B.Prediction of rockburst classification using random forest[J].Transaction of Nonferrous Metals Society of China, 2013, 23(2):472-477. doi: 10.1016/S1003-6326(13)62487-5

[10]

余坤勇, 姚雄, 邱祁荣, 等.基于随机森林模型的山体滑坡空间预测研究[J].农业机械学报, 2016, 47(10):338-345. doi: 10.6041/j.issn.1000-1298.2016.10.043

YU K Y, YAO X, QIU Q R, et al.Landslide spatial prediction based on random forest model[J].Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(10):338-345. doi: 10.6041/j.issn.1000-1298.2016.10.043

[11]

张雷, 王琳, 张旭东, 等.随机森林算法基本思想及其在生态学中的应用:以云南松分布模拟为例[J].生态学报, 2014, 34(3):650-659. http://d.old.wanfangdata.com.cn/Periodical/stxb201403015

ZHANG L, WANG L, ZHANG X D, et al. The basic principle of random forest and its application in ecology: a case study of Pinus yunnanensis[J].Acta Ecologica Sinica, 2014, 34(3):650-659. http://d.old.wanfangdata.com.cn/Periodical/stxb201403015

[12]

赖成光, 陈晓宏, 赵仕威, 等.基于随机森林的洪灾风险评价模型及其应用[J].水利学报, 2015, 46(1):59-65. http://d.old.wanfangdata.com.cn/Periodical/slxb201501008

LAI C G, CHEN X H, ZHAO S W, et al.Flood risk assessment model and its application based on random forest[J].Journal of Hydraulic Engineering, 2015, 46(1):59-65. http://d.old.wanfangdata.com.cn/Periodical/slxb201501008

[13]

邢海涛, 陆元昌, 刘宪钊, 等.基于近自然改造的马尾松林分竞争强度研究[J].北京林业大学学报, 2016, 38(9):42-53. doi: 10.13332/j.1000-1522.20160023

XING H T, LU Y C, LIU X Z, et al.Competiiton intensity of Pinus massoniana stand based on close-to-nature management[J].Journal of Beijing Forestry University, 2016, 38(9):42-53. doi: 10.13332/j.1000-1522.20160023

[14]

BREIMAN L. Random forests[J].Machine Learning, 2001, 45(1):5-32. doi: 10.1023/A:1010933404324

[15]

张洪强, 刘光远, 赖祥伟.随机森林在肌电的重要特征选择中的应用[J].计算科学, 2013, 40(1):200-202. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjkx201301046

ZHANG H Q, LIU G Y, LAI X W. Application of random forest algorithm in important feature selection form EMG signal[J].Computer Science, 2013, 40(1):200-202. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjkx201301046

[16]

李新海.随机森林模型在分类与回归分析中的应用[J].应用昆虫学报, 2013, 50(4):1190-1197. http://d.old.wanfangdata.com.cn/Periodical/kczs201304041

LI X H.Using"random forest" for classification and regression[J].Chinese Journal of Applied Entomology, 2013, 50(4):1190-1197. http://d.old.wanfangdata.com.cn/Periodical/kczs201304041

[17]

齐颜君, 王丹, 孙喜林, 等.适地适树的意义与数量标准[J].现代农业科技, 2013(1):169. doi: 10.3969/j.issn.1007-5739.2013.01.104

QI Y J, WANG D, SUN X L, et al. The meaning and quantity standard of matching species with the site[J].Modern Agriculture Science and Technology, 2013(1):169. doi: 10.3969/j.issn.1007-5739.2013.01.104

[18]

孟宪宇.测树学[M].北京:中国林业出版社, 2006.

MENG X Y. Forest measurement[M]. Beijing: China Forestry Publishing House, 2006.

[19]

姚山.基于数据挖掘技术的造林决策研究[D].北京: 北京林业大学, 2008. http://cdmd.cnki.com.cn/Article/CDMD-10022-2008085015.htm

YAO S.Study on afforestation decision based on data mining[D]. Beijing: Beijing Forestry University, 2008. http://cdmd.cnki.com.cn/Article/CDMD-10022-2008085015.htm

[20]

曹正凤.随机森林算法优化研究[D].北京: 首都经济贸易大学, 2014. http://cdmd.cnki.com.cn/Article/CDMD-11912-1014220587.htm

CAO Z F.Study on optimization of random forests algorithm[D]. Beijing: Capital University of Economics and Business, 2014. http://cdmd.cnki.com.cn/Article/CDMD-11912-1014220587.htm

[21]

CHWLA N V, BOWYER K W, HALL L O, et al.SMOTE:synthetic minority over-sampling technique[J].Journal of Artificial Intelligence Research, 2011, 16(1):321-357. http://d.old.wanfangdata.com.cn/Periodical/dianzixb200911024

[22]

李婉华, 陈宏, 郭坤, 等.基于随机森林算法的用电负荷预测研究[J].计算机工程与应用, 2016, 52(23):236-243. doi: 10.3778/j.issn.1002-8331.1606-0203

LI W H, CHEN H, GUO K, et al.Research on electrical load prediction based on random forest algorithm[J].Computer Engineering and Applications, 2016, 52(23):236-243. doi: 10.3778/j.issn.1002-8331.1606-0203

[23]

郭颖婕, 刘晓燕, 郭茂祖, 等.植物抗性基因识别中的随机森林分类方法[J].计算科学与探索, 2012, 6(1):67-77. http://d.old.wanfangdata.com.cn/Periodical/jsjkxyts201201005

GUO Y J, LIU X Y, GUO M Z, et al.Identification of plant resistance gene with random forest[J].Journal of Frontiers of Computer Science and Technology, 2012, 6(1):67-77. http://d.old.wanfangdata.com.cn/Periodical/jsjkxyts201201005

[1]	黄云鹏.森林培育学[M].北京:高等教育出版社, 2002. HUANG Y P.Silviculture[M].Beijing:Higher Education Press, 2002.
[2]	郭艳荣, 刘洋, 吴保国.福建省宜林地立地质量的分级与数量化评价[J].东北林业大学学报, 2014, 42(10):54-59. doi: 10.3969/j.issn.1000-5382.2014.10.012 GUO Y R, LIU Y, WU B G.Evaluating dividing rank and quantification of site quality of suitable land for forest in Fujian Province, China[J].Journal of Northeast Forestry University, 2014, 42(10):54-59. doi: 10.3969/j.issn.1000-5382.2014.10.012
[3]	CURT T, BOUCHAUD M, AGRECH G.Predicting site index of Douglasfir plantations from ecological variables in the Massif Central area of France[J].Forest Ecology and Management, 2001, 149(1):61-74. http://cn.bing.com/academic/profile?id=33a58ff18489b10367956465b4786ef8&encoded=0&v=paper_preview&mkt=zh-cn
[4]	LOUWA J H, SCHOLES M.Forest site classification and evaluation:a South African perspective[J].Forest Ecology and Management, 2002, 171(1-2):153-168. doi: 10.1016/S0378-1127(02)00469-3
[5]	张伏全, 魏汗功, 陈远材.滇西南地区立地龙竹质量评价的研究[J].林业科学, 1994, 30(2):104-110. http://www.cnki.com.cn/Article/CJFDTotal-LYKE402.001.htm ZHANG F Q, WEI H G, CHEN Y C.Study on site quality evaluation of fragon bamboo in Southwest Yunnan[J].Scientia Silvae Sinicae, 1994, 30(2):104-110. http://www.cnki.com.cn/Article/CJFDTotal-LYKE402.001.htm
[6]	黄家荣, 马天晓, 王艳梅, 等.基于BP网络的无林地立地质量评价模型研究[J].山地农业生物学报, 2006, 25(6):479-483. doi: 10.3969/j.issn.1008-0457.2006.06.003 HUANG J R, MA T X, WANG Y M, et al.Forest site evaluation model studies on the basis of BP Neural Network[J].Journal of Mountain Agriculture and Biology, 2006, 25(6):479-483. doi: 10.3969/j.issn.1008-0457.2006.06.003
[7]	IVERSON L R, PRASAD A M, MATTHEWS S N, et al.Estimating potential habitat for 134 eastern US tree species under six climate scenarios[J].Forest Ecology and Management, 2008, 254:390-406. doi: 10.1016/j.foreco.2007.07.023
[8]	PRASAD A M, IVERSON L R, LIAW A.Newer classification and regression tree technique:bagging and random forests for ecological prediction[J].Ecosystems, 2006, 9(2):181-199. doi: 10.1007/s10021-005-0054-1
[9]	DONG L J, LI X B.Prediction of rockburst classification using random forest[J].Transaction of Nonferrous Metals Society of China, 2013, 23(2):472-477. doi: 10.1016/S1003-6326(13)62487-5
[10]	余坤勇, 姚雄, 邱祁荣, 等.基于随机森林模型的山体滑坡空间预测研究[J].农业机械学报, 2016, 47(10):338-345. doi: 10.6041/j.issn.1000-1298.2016.10.043 YU K Y, YAO X, QIU Q R, et al.Landslide spatial prediction based on random forest model[J].Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(10):338-345. doi: 10.6041/j.issn.1000-1298.2016.10.043
[11]	张雷, 王琳, 张旭东, 等.随机森林算法基本思想及其在生态学中的应用:以云南松分布模拟为例[J].生态学报, 2014, 34(3):650-659. http://d.old.wanfangdata.com.cn/Periodical/stxb201403015 ZHANG L, WANG L, ZHANG X D, et al. The basic principle of random forest and its application in ecology: a case study of Pinus yunnanensis[J].Acta Ecologica Sinica, 2014, 34(3):650-659. http://d.old.wanfangdata.com.cn/Periodical/stxb201403015
[12]	赖成光, 陈晓宏, 赵仕威, 等.基于随机森林的洪灾风险评价模型及其应用[J].水利学报, 2015, 46(1):59-65. http://d.old.wanfangdata.com.cn/Periodical/slxb201501008 LAI C G, CHEN X H, ZHAO S W, et al.Flood risk assessment model and its application based on random forest[J].Journal of Hydraulic Engineering, 2015, 46(1):59-65. http://d.old.wanfangdata.com.cn/Periodical/slxb201501008
[13]	邢海涛, 陆元昌, 刘宪钊, 等.基于近自然改造的马尾松林分竞争强度研究[J].北京林业大学学报, 2016, 38(9):42-53. doi: 10.13332/j.1000-1522.20160023 XING H T, LU Y C, LIU X Z, et al.Competiiton intensity of Pinus massoniana stand based on close-to-nature management[J].Journal of Beijing Forestry University, 2016, 38(9):42-53. doi: 10.13332/j.1000-1522.20160023
[14]	BREIMAN L. Random forests[J].Machine Learning, 2001, 45(1):5-32. doi: 10.1023/A:1010933404324
[15]	张洪强, 刘光远, 赖祥伟.随机森林在肌电的重要特征选择中的应用[J].计算科学, 2013, 40(1):200-202. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjkx201301046 ZHANG H Q, LIU G Y, LAI X W. Application of random forest algorithm in important feature selection form EMG signal[J].Computer Science, 2013, 40(1):200-202. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjkx201301046
[16]	李新海.随机森林模型在分类与回归分析中的应用[J].应用昆虫学报, 2013, 50(4):1190-1197. http://d.old.wanfangdata.com.cn/Periodical/kczs201304041 LI X H.Using"random forest" for classification and regression[J].Chinese Journal of Applied Entomology, 2013, 50(4):1190-1197. http://d.old.wanfangdata.com.cn/Periodical/kczs201304041
[17]	齐颜君, 王丹, 孙喜林, 等.适地适树的意义与数量标准[J].现代农业科技, 2013(1):169. doi: 10.3969/j.issn.1007-5739.2013.01.104 QI Y J, WANG D, SUN X L, et al. The meaning and quantity standard of matching species with the site[J].Modern Agriculture Science and Technology, 2013(1):169. doi: 10.3969/j.issn.1007-5739.2013.01.104
[18]	孟宪宇.测树学[M].北京:中国林业出版社, 2006. MENG X Y. Forest measurement[M]. Beijing: China Forestry Publishing House, 2006.
[19]	姚山.基于数据挖掘技术的造林决策研究[D].北京: 北京林业大学, 2008. http://cdmd.cnki.com.cn/Article/CDMD-10022-2008085015.htm YAO S.Study on afforestation decision based on data mining[D]. Beijing: Beijing Forestry University, 2008. http://cdmd.cnki.com.cn/Article/CDMD-10022-2008085015.htm
[20]	曹正凤.随机森林算法优化研究[D].北京: 首都经济贸易大学, 2014. http://cdmd.cnki.com.cn/Article/CDMD-11912-1014220587.htm CAO Z F.Study on optimization of random forests algorithm[D]. Beijing: Capital University of Economics and Business, 2014. http://cdmd.cnki.com.cn/Article/CDMD-11912-1014220587.htm
[21]	CHWLA N V, BOWYER K W, HALL L O, et al.SMOTE:synthetic minority over-sampling technique[J].Journal of Artificial Intelligence Research, 2011, 16(1):321-357. http://d.old.wanfangdata.com.cn/Periodical/dianzixb200911024
[22]	李婉华, 陈宏, 郭坤, 等.基于随机森林算法的用电负荷预测研究[J].计算机工程与应用, 2016, 52(23):236-243. doi: 10.3778/j.issn.1002-8331.1606-0203 LI W H, CHEN H, GUO K, et al.Research on electrical load prediction based on random forest algorithm[J].Computer Engineering and Applications, 2016, 52(23):236-243. doi: 10.3778/j.issn.1002-8331.1606-0203
[23]	郭颖婕, 刘晓燕, 郭茂祖, 等.植物抗性基因识别中的随机森林分类方法[J].计算科学与探索, 2012, 6(1):67-77. http://d.old.wanfangdata.com.cn/Periodical/jsjkxyts201201005 GUO Y J, LIU X Y, GUO M Z, et al.Identification of plant resistance gene with random forest[J].Journal of Frontiers of Computer Science and Technology, 2012, 6(1):67-77. http://d.old.wanfangdata.com.cn/Periodical/jsjkxyts201201005