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XU Luo, KANG Xin-gang, GUO Wei-wei, ZHANG Jia-wei, CHEN Ri-dong, LIAO Qing-wen, KONG Lei. Site quality evaluation of natural spruce-fir and broadleaf mixed stands.[J]. Journal of Beijing Forestry University, 2016, 38(5): 11-12. DOI: 10.13332/j.1000-1522.20140126
Citation: XU Luo, KANG Xin-gang, GUO Wei-wei, ZHANG Jia-wei, CHEN Ri-dong, LIAO Qing-wen, KONG Lei. Site quality evaluation of natural spruce-fir and broadleaf mixed stands.[J]. Journal of Beijing Forestry University, 2016, 38(5): 11-12. DOI: 10.13332/j.1000-1522.20140126

Site quality evaluation of natural spruce-fir and broadleaf mixed stands.

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  • Received Date: April 10, 2014
  • Revised Date: April 10, 2014
  • Published Date: May 30, 2016
  • To establish a scientific, suitable and accurate site quality evaluation system of natural forest, we used 123 analytic fir trees for simulating the optimal competitive index of the natural spruce-fir and broadleaf mixed stands among 6 competitive indexes. Eligible firs from 26 clear cutting plots and analytic trees were picked out to simulate the height growth curve of dominant trees and the height growth curve of worst trees. Then the suitable site index of competition (SIC) table was built by using the height growth curve of dominant trees and height growth curve of worst trees as guide curves. The optimal multiple regression prediction models for height growth were selected to analyze the height difference caused by competition. Then, the site quality of two site types was evaluated by using SIC. The results indicated: 1) The optimal competition index of natural spruce-fir and broadleaf mixed stands is CI1. Statistics of CI1 shows that different age grades have marked differences in competition. The pressure of competition decreases with aging. 2) Building competition tables with 2m class interval, a standard age of 60 years and 7 levels of site indexes is more reasonable. 3) The power exponent model of two site types is most precise in three multiple regression prediction models for height growth. 4) Evaluation of two site types using site indexes of the competition table shows that site type 1 belongs to 17m site index of competition, and site type 2 belongs to 15m site index of competition. The site type 1 is superior in site quality to site type 2.
  • [1]
    郭艳荣,吴保国,刘洋,等. 立地质量评价研究进展[J]. 世界林业研究,2012(5): 47-52.
    [1]
    GUO Y R,WU B G,LIU Y, et al. Research progress of site quality evaluation[J]. World Forestry Research, 2012(5): 47-52.
    [2]
    郭晋平, 张浩宇, 张芸香. 森林立地质量评价的可变生长截距模型与应用[J]. 林业科学, 2007, 43(10): 8-14.
    [2]
    GUO J P,ZHANG H Y,ZHANG Y X.Variable growth intercept models for forest site evaluation and its application[J]. Scientia Silvae Sinicae, 2007, 43(10): 8-14.
    [3]
    孙晓梅, 张守攻, 孔凡斌, 等. 日本落叶松家系对树高生长模型参数的影响[J]. 林业科学, 2005, 41(1): 78-84.
    [3]
    SUN X M,ZHANG S G,KONG F B,et al.Analyzing parameters of height-age models for open-pollinated Japanese larch families[J]. Scientia Silvae Sinicae, 2005, 41(1): 78-84.
    [4]
    VANCLAY J K. Assessing site productivity in tropical moist forests: a review[J]. Forest Ecology and Management, 1992, 54(1): 257-287.
    [4]
    QIN J D.A Study in respect of making of the site index for natural forest of Korean pine ( Pnius koraiensis ) [J].Journal of North-eastern Forestry Institute, 1979(2): 23-35.
    [5]
    ZOU D M.Estimation for the site quality of Pinus massoniana natural forest [J]. Journal of Forestry Science and Technology, 2001, 28(1): 76-78.
    [5]
    秦家鼎. 红松( Pnius koraiensis )天然林立地指数表编制的研究[J]. 东北林学院学报,1979(2): 23-35.
    [6]
    邹得棉. 马尾松天然林立地质量评价[J]. 福建林业科技, 2001, 28(1): 76-78.
    [6]
    MENG X Y,CHEN D L.Study on constructive method of site index table for poplar secondary forest[J]. Journal of Beijing Forestry University, 2001, 23(3): 47-51.
    [7]
    孟宪宇, 陈东来. 山杨次生林地位指数表编制方法的研究[J]. 北京林业大学学报, 2001, 23(3): 47-51.
    [7]
    CHEN Y F, YANG Y C, ZHANG H Q, et al. A study on site quality evaluation of natural tropical mountainous rain forest in Hainan isiand[J].Forest Research, 2000, 13(2): 134-140.
    [8]
    ZHAO J H.Growth modeling for Spruce-fir forest in Changbai Mountains [D].Beijing: Beijing Forestry University, 2010.
    [8]
    LAMSON N I. Estimating northern red oak site-index class from total height and diameter of dominant and codominant trees in Central Appalachian hardwood stands[M]. Delaware: US Department of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1987.
    [9]
    GE H L,MENG X Y,TANG X X. Growth model system for continuous forest inventory[J]. Forest Research, 2004, 17(4): 413-419.
    [9]
    HUANG S, TITUS S J. An index of site productivity for uneven-aged or mixed-species stands[J]. Canadian Journal of Forest Research,1993, 23(3): 558-562.
    [10]
    MENG X Y, GE H L.A new quantitalive measure for evaluating site quality of uneven-aged picea stands[J]. Journal of Beijing Forestry University, 1995, 17(1): 1-9.
    [10]
    陈永富,杨彦臣,张怀清,等. 海南岛热带天然山地雨林立地质量评价研究[J]. 林业科学研究, 2000, 13(2): 134-140.
    [11]
    LIU Y,KANG X G,GUO Y R,et al. Multiple regression prediction model for diameter growth of dominant tree species in changbai mountains: a case study of Picea koraiensis [J]. Journal of Northeast Forestry University, 2012,40(2): 1-4.
    [11]
    TEMESGEN H, GADOW V K. Generalized height-diameter models-an application for major tree species in complex stands of interior British Columbia[J]. European Journal of Forest Research, 2004, 123(1): 45-51.
    [12]
    GEOFF W G. Is height of dominant trees at a reference diameter an adequate measure of site quality?[J]. Forest Ecology and Management, 1998, 112(1-2): 49-54.
    [12]
    MA L Y,WANG X Q. Growth space competition index (GSCI) and application in the individual intraspecies competition of Pinus tabulaeformis and Platycladus orientalis forests[J].Ecologic Science, 2006, 25(5): 385-389.
    [13]
    ZHANG Y X. Application and improvement of the neighborhood interference model [J].Acta Phytoecologica et Geobanica Sinica, 1993, 17(4): 352-357.
    [13]
    赵俊卉. 长白山云冷杉混交林生长模型的研究[D]. 北京: 北京林业大学, 2010.
    [14]
    葛宏立, 孟宪宇, 唐小明. 应用于森林资源连续清查的生长模型系统[J]. 林业科学研究, 2004, 17(4): 413-419.
    [14]
    NING J K, ZHEN X X, GAO J R, et al. Application of interference index in water conservation forest of Platycladus orientalis in Miyun County[J]. Journal of Beijing Forestry University, 2004, 25(6): 15-19.
    [15]
    孟宪宇, 葛宏立. 云杉异龄林立地质量评价的数量指标探讨[J]. 北京林业大学学报, 1995, 17(1): 1-9.
    [16]
    LEI X, LU Y, PENG C, et al. Growth and structure development of semi-natural larch-spruce-fir( Larix olgensis-Picea jezoensis-Abise nephrolepis ) forests in northeast China: 12-year results after thinning[J]. Forest Ecology and Management, 2007, 240(1): 165-177.
    [17]
    刘洋, 亢新刚, 郭艳荣, 等.长白山主要树种直径生长的多元回归预测模型: 以云杉为例[J]. 东北林业大学学报, 2012, 40(2): 1-4.
    [18]
    HEGYI F. A simulation model for managing jack-pine stands [J]. Growth Models for Tree and Stand Simulation, 1974,30: 74-90.
    [19]
    马履一, 王希群. 生长空间竞争指数及其在油松、侧柏种内竞争中的应用研究[J]. 生态科学, 2006, 25(5): 385-389.
    [20]
    张跃西. 邻体干扰模型的改进及其在营林中的应用[J]. 植物生态学与地植物学学报, 1993, 17(4): 352-357.
    [21]
    宁金魁, 郑小贤, 高甲荣, 等. 干扰指数在密云县侧柏水源涵养林中的应用[J]. 北京林业大学学报, 2004, 25(6): 15-19.
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