福建将乐林场杉木人工林多功能评价初探  

Multi-functional evaluation of Cunninghamia lanceolata plantation in Jiangle forest farm

作　　者：罗梅[1] 郑小贤[1] 杜燕[1] 刘波云[1] 

机构地区：[1]北京林业大学林学院,森林资源与环境管理国家林业局重点实验室,北京100083

出　　处：《福建农林大学学报（自然科学版）》2013年第3期269-272,共4页Journal of Fujian Agriculture and Forestry University:Natural Science Edition

基　　金：“十二五”国家科技支撑“南方集体林区生态公益林可持续经营技术研究与示范”课题(2012BAD22B05)

摘　　要：运用主成分分析法,选取小班面积(x1)、树种组成(x2)、郁闭度(x3)、年龄(x4)、平均胸径(x5)、平均树高(x6)、小班蓄积(x7)、坡度(x8)共8个指标构建福建将乐林场杉木人工林结构与风景游憩(Y1)、木材生产(Y2)、涵水保土(Y3)功能的模型:Y1=0.001x1-0.174x2+0.221x3+0.216x4+0.238x5+0.237x6+0.137x7-0.024 x8;Y2=0.584 x1+0.044x2-0.045x3-0.126x4-0.043x5-0.053x6+0.485x7-0.021x8;Y3=0.022x1-0.044x2+0.099x3-0.113x4+0.047x5+0.027x6+0.007x7+0.980x8,并对436个小班进行多功能的等级划分与评价.结果表明:多功能等级为优、良、中等、差、极差的小班比重分别为1.1%、13.8%、60.6%、15.4%、9.2%.评价结果为中等的小班最多,良和优的小班比重小,杉木人工林的整体多功能水平偏低.Cunninghamia lanceolata plantation in Jiangle County, Fujian Province was taken as the object. The principal component analysis was used to select 8 indicators including subcompartment areas （x1）, tree species composition （x2 ）, canopy density （x3 ）, age （x4 ）, average diameter at breast height （x5 ）, average tree height （x6 ）, stock volume （x7）, slope （x8 ） to build structure and scenery and recreation （ I：1 ）, the function of timber production （ Y2 ）, water and soil conservation （ Y3 ） model： Y1 = 0. 001xI - 0. 174x2 ＋0.221x3 ＋0.216x4 ＋0.238x5 ＋0.237x6 ＋0.137x7 - 0.O24xs ; I：2 =0-584xl ＋0.044x2 -0.045x3 -0. 126x4 -0.043xs - 0-053x6 ＋0-485x7 -0-021z8 ; Y3 --0.022x1 -0.044x2 ＋0.099x3 -0. 113x4 ＋0.047x5 ＋0.027x6 ＋0.007x7 ＋0.980x8. Evaluating the multi-function of 436 subeompartments, the results showed as follows. Subcompartments percentages of multi-functional rating of excellent, good, moderate, poor, very poor were 1.1%, 13.8%, 60.6%, 15.4%, 9.2%, the subcompartments of medium level multi-function were more than others, the subcompartments percentages of good and excellent were less. Overall multi-function of Cunninghamia lanceolata plantation was at the low level.

关 键 词：主成分分析 杉木人工林 多功能评价 

分 类 号：S757.9[农业科学—森林经理学]