發(fā)布時(shí)間：2018-10-12 11:57

【摘要】：根據(jù)林分平均胸徑、平均樹高、林齡、林分密度、立地質(zhì)量及分布區(qū)域等林分因子的不同,從福州市國有林場近15年來的伐區(qū)中選取具有代表性的杉木林分,以伐區(qū)調(diào)查數(shù)據(jù)為依據(jù),按照"三倍標(biāo)準(zhǔn)差原理"對林分平均胸徑、平均樹高進(jìn)行篩選,共采集501片伐區(qū)木材生產(chǎn)相關(guān)數(shù)據(jù)。采用SPSS19.0數(shù)據(jù)統(tǒng)計(jì)軟件分析林分各材種出材率與各林分因子之間的相關(guān)系數(shù),分析表明,平均胸徑、平均樹高與林分規(guī)格材、經(jīng)濟(jì)材、廢材及商品材的出材率之間呈高度相關(guān),林分密度與薪材出材率之間呈高度正相關(guān),杉木林分不同分布區(qū)域和立地質(zhì)量對各材種出材率的影響均為極顯著。影響林分材種出材率大小的因子依次為林分平均胸徑、平均樹高及林分密度,總體上,隨著林分平均胸徑、平均樹高的增大,規(guī)格材、經(jīng)濟(jì)材和商品材的出材率逐漸上升,非規(guī)格材、薪材和廢材的出材率則逐漸降低;隨著林分密度的增加,規(guī)格材和經(jīng)濟(jì)材的出材率逐漸降低,薪材和廢材的出材率逐漸增加,非規(guī)格材和商品材的出材率基本上保持平緩狀態(tài)。文中通過分析林分各材種出材率與各林分因子之間的變化規(guī)律,建立基于林分平均胸徑的林分一元材種出材率模型、基于林分平均胸徑和平均樹高的林分二元材種出材率模型、基于諸多林分因子的林分多元材種出材率模型,以殘差平方和RSS和調(diào)整系數(shù)R2來判斷回歸模型的擬合精度,對滿足擬合精度要求的回歸模型再進(jìn)一步根據(jù)平均相對誤差E、總相對誤差RS、平均相對誤差絕對值RMA以及預(yù)估精度P和F檢驗(yàn)等適用性檢驗(yàn)指標(biāo)的大小,從中選擇最優(yōu)的材種出材率模型。最優(yōu)出材率模型通過適用性檢驗(yàn)后,為確保一片林分內(nèi)所計(jì)算的各材種出材率之和等于理論值100%,對根據(jù)所選用的一元、二元、多元材種出材率方程計(jì)算的各材種出材率進(jìn)行修正,使其滿足理論要求,其中多元材種出材率回歸方程計(jì)算的規(guī)格材、經(jīng)濟(jì)材、薪材及商品材的出材率可不必修正,可直接編制成表。
[Abstract]:According to the difference of stand factors such as average DBH, average tree height, stand age, stand density, site quality and distribution area, the representative Chinese fir stands were selected from the cutting areas of the state-owned forest farm in Fuzhou in the past 15 years. Based on the survey data of cutting area, according to the principle of "three times standard deviation", the average DBH and average tree height of stand were screened, and 501 pieces of wood production data were collected. The correlation coefficient between stand timber yield and stand factors was analyzed by SPSS19.0 data statistic software. The results showed that the average DBH and average tree height were highly correlated with stand specifications, economic wood, scrap and commercial timber. There was a high positive correlation between stand density and wood yield of fuelwood. The effects of different distribution areas and site quality of Chinese fir stand on the yield of different timber species were very significant. The factors influencing the yield of timber were the average diameter of stand, the average height and density of stand. As a whole, with the increase of average diameter of stand, the average height of tree, the yield of standard wood, economic wood and commercial wood increased gradually. The yield of non-standard wood, fuelwood and waste wood decreased gradually, and with the increase of stand density, the yield of standard wood and economic wood decreased gradually, and that of fuelwood and waste wood increased gradually. The output rate of non-standard materials and commercial materials is basically in a smooth state. Based on the analysis of the variation of stand yield and stand factors, a stand yield model based on stand average DBH, and a stand yield model based on stand average DBH and average tree height were established in this paper. On the basis of many stand factors, the fitting accuracy of the regression model was judged by the sum of residual square and RSS and adjustment coefficient R2. For the regression model which meets the requirement of fitting precision, according to the magnitude of average relative error (E), total relative error (RS,) average relative error absolute value (RMA) and prediction accuracy (P and F test), etc. The optimal model of timber outage rate was selected. In order to ensure that the sum of each timber output rate calculated in a stand is equal to the theoretical value of 100, according to the selection of one element, the optimum yield model passes the applicability test, in order to ensure that the sum of each timber output rate is equal to the theoretical value of 100. In order to meet the theoretical requirements, the extraction rate of each material calculated by the equation of extraction rate of multicomponent materials can be modified to meet the theoretical requirements. The extraction rate of specifications, economic wood, fuelwood and commercial materials can be calculated by regression equation of multiple species of timber without modification. Can be compiled directly into a table.
【學(xué)位授予單位】：福建農(nóng)林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S758

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