本文選題：林分生長(zhǎng)量模型 + 闊葉樹(shù)資源數(shù)據(jù)融合　； 參考：《中南林業(yè)科技大學(xué)》2014年碩士論文

【摘要】：森林資源數(shù)據(jù)是一種隨年度而不斷變化的數(shù)據(jù)。森林資源數(shù)據(jù)主要是通過(guò)森林資源連續(xù)清查簡(jiǎn)稱(chēng)一類(lèi)清查和森林資源規(guī)劃設(shè)計(jì)調(diào)查簡(jiǎn)稱(chēng)二類(lèi)調(diào)查獲得,由于兩套數(shù)據(jù)調(diào)查間隔期、抽樣方法和精度要求不同,導(dǎo)致同一地區(qū)存在兩套森林資源總量數(shù)據(jù)。近年來(lái),國(guó)家林業(yè)局森林資源管理司提出,要積極推進(jìn)森林資源監(jiān)測(cè)體系優(yōu)化改革,逐步建成服務(wù)高效的森林資源一體化監(jiān)測(cè)體系,最終實(shí)現(xiàn)國(guó)家和地方森林資源監(jiān)測(cè)工作“一盤(pán)棋”,森林資源“一套數(shù)”,森林分布“一張圖”。森林資源一體化監(jiān)測(cè)的核心就是要國(guó)家一類(lèi)清查和地方二類(lèi)調(diào)查數(shù)據(jù)有效融合。森林資源數(shù)據(jù)融合的關(guān)鍵在于充分利用兩類(lèi)數(shù)據(jù)的優(yōu)點(diǎn),準(zhǔn)確選擇合適的本底和適合的模型。 本研究在充分總結(jié)分析前人對(duì)森林資源數(shù)據(jù)融合模型建模和林分生長(zhǎng)模型的基礎(chǔ)上,以湖南省主要闊葉樹(shù),包括闊葉純林、闊葉混交林和針闊混交林為研究對(duì)象,利用湖南省森林資源連續(xù)清查從1994年到2009年四期樣木數(shù)據(jù)和2004與2009年闊葉樹(shù)樣地?cái)?shù)據(jù),利用林分生長(zhǎng)模型,構(gòu)建湖南省主要闊葉樹(shù)直徑、樹(shù)高及每公頃株數(shù)變化模型。主要研究?jī)?nèi)容和結(jié)論如下： (1)把湖南省全省按照不同闊葉樹(shù)生長(zhǎng)所需氣候及樹(shù)種自然分布情況,劃分為湘北、湘中東濱湖盆地丘陵區(qū),湘南山地丘陵區(qū)和湘西山區(qū)三個(gè)分區(qū)。 (2)各分區(qū)按照不同闊葉樹(shù)種組,分別用六個(gè)經(jīng)典的生長(zhǎng)量模型對(duì)闊葉樹(shù)樹(shù)高生長(zhǎng)進(jìn)行擬合,通過(guò)對(duì)比各方程擬合的決定系數(shù)R2及剩余均方差MSE,確定了最適合該分區(qū)闊葉樹(shù)種組的樹(shù)高生長(zhǎng)最優(yōu)模型,對(duì)樹(shù)高生長(zhǎng)模型求時(shí)間的一階導(dǎo)數(shù),得到了各分區(qū)不同闊葉樹(shù)種組的樹(shù)高連年生長(zhǎng)量模型。 (3)對(duì)于各分區(qū)闊葉純林通過(guò)計(jì)算各變量與平均直徑的皮爾森簡(jiǎn)單相關(guān)系數(shù)及多變量多重共線(xiàn)性檢驗(yàn),選擇了影響直徑生長(zhǎng)的主要因變量：平均年齡、平均樹(shù)高、林分密度指數(shù),用多元線(xiàn)性回歸模型擬合得出各分區(qū)闊葉純林直徑生長(zhǎng)模型。對(duì)直徑生長(zhǎng)模型進(jìn)行△D=Dt+1-Dt運(yùn)算,得到各分區(qū)不同闊葉樹(shù)純林的直徑連年生長(zhǎng)量模型。 (4)各分區(qū)針闊混交林通過(guò)采用隱去年齡的生長(zhǎng)模型法對(duì)平均直徑進(jìn)行建模,得到了該分區(qū)針闊混交林平均直徑變化模型。 (5)利用2004年所選各分區(qū)樣地相對(duì)應(yīng)的2004年和2009年的樣木數(shù)據(jù),分別建立其保留木株數(shù)模型和進(jìn)界木株數(shù)模型,從而得出每公頃株數(shù)模型。 (6)以湖南省江華縣2007年的森林資源小班數(shù)據(jù)為例,采用本研究所得該分區(qū)模型系,實(shí)現(xiàn)了江華縣闊葉樹(shù)結(jié)果數(shù)據(jù)和連清結(jié)果數(shù)據(jù)在2013年時(shí)的融合。
[Abstract]:Forest resource data is a kind of data that varies with the year. The forest resources data are mainly obtained by two types of investigation, namely, the continuous inventory of forest resources and the survey of forest resources planning and design. Because of the two sets of data survey intervals, the sampling methods and the accuracy requirements are different, resulting in the existence of two sets of forests in the same area. In recent years, the Department of forest resources management of the State Forestry Bureau has proposed to actively promote the optimization and reform of the monitoring system of forest resources, gradually build up an integrated monitoring system for the efficient and efficient forest resources, and finally realize the "one game" of national and local forest resources monitoring, "one set of forest resources", and the forest distribution "1." The core of the forest resource integration monitoring is to integrate the national inventory and the local two types of survey data effectively. The key of the forest resource data fusion is to make full use of the advantages of the two types of data and to select the right base and suitable model.
On the basis of summarizing and analyzing the previous model of forest resource data fusion model and forest growth model, the main broad-leaved tree in Hunan Province, including broad-leaved pure forest, broad leaved mixed forest and coniferous and broad-leaved mixed forest, was used as the research object. The data of four period wood samples from 1994 to 2009 were checked continuously from the forest resources in Hunan province and 2004 and 2009. The main research contents and conclusions are as follows: the major broadleaved tree diameter, tree height and plant number per hectare change model in Hunan province.
(1) according to the climate and natural distribution of different broad-leaved trees in Hunan Province, it is divided into three regions in the north of Hunan, the hilly area of the Binhu basin in the Middle East of Hunan, the hilly region of southern Hunan and the mountain area in Xiangxi.
(2) according to the different broad-leaved tree species, six classical growth models were used to fit the high growth of broad-leaved tree tree respectively. By comparing the determination coefficient R2 and the residual mean variance MSE of the equation fitting, the best growth model of tree height suitable for the broad leaved tree species group was determined, and the first derivative of the time was calculated for the tree height growth model. The tree height increment models of different broad-leaved tree species in different districts were obtained.
(3) for the Pearson simple correlation coefficient and multivariable multi collinearity test of the various zoning broad-leaved pure forests, the main dependent variables affecting the diameter growth were selected: average age, average tree height, stand density index, and multivariate linear regression model was used to fit the diameter growth model of the zoning broad-leaved pure forest. Based on the diameter D=Dt+1-Dt growth model, the diameter increment model of different broad-leaved trees in different districts is obtained.
(4) the average diameter was modeled by the growth model of hidden age, and the average diameter change model of the coniferous and broad-leaved mixed forests in the zoning was obtained.
(5) using the data of the sample plots of 2004 and 2009 of the selected subregions selected in 2004, the model of the number of reserved wood number and the number of the incoming wood number are established respectively, thus the number of plant number per hectare is obtained.
(6) taking the data of the small class of forest resources in Jiang Hua County of Hunan province in 2007 as an example, the results of this study were used to achieve the integration of the data of broad-leaved trees in Jiang Hua county and the data of continuous clearing results in 2013.
【學(xué)位授予單位】：中南林業(yè)科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：S757.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 馮仲科;熊妮娜;王佳;李雪梅;;北京市側(cè)柏人工林全林分模型建立與研究[J];北京林業(yè)大學(xué)學(xué)報(bào);2008年S1期

2 葛宏立;自變量也含誤差的非線(xiàn)性模型擬合[J];北京林業(yè)大學(xué)學(xué)報(bào);1996年02期

3 邵國(guó)凡;紅松人工林單木生長(zhǎng)模型的研究[J];東北林業(yè)大學(xué)學(xué)報(bào);1985年03期

4 張少昂;興安落葉松天然林林分生長(zhǎng)模型和可變密度收獲表的研究[J];東北林業(yè)大學(xué)學(xué)報(bào);1986年03期

5 李雪峰;塔河林業(yè)局天然興安落葉松生長(zhǎng)模型的研究[J];東北林業(yè)大學(xué)學(xué)報(bào);1987年S4期

6 楊錦昌;尹光天;李榮生;馮昌林;鄒文濤;;5種生長(zhǎng)方程在2種藤林生長(zhǎng)模型中的應(yīng)用[J];福建林學(xué)院學(xué)報(bào);2007年03期

7 陳昌雄，陳平留，劉健，鐘志林;針闊混交異齡林生長(zhǎng)規(guī)律的研究[J];福建林學(xué)院學(xué)報(bào);1996年04期

8 白星,曲亞玲;白龍江林區(qū)冷杉林分里查德（Richards）生長(zhǎng)收獲模型[J];甘肅林業(yè)科技;1996年04期

9 李長(zhǎng)勝;;森林生長(zhǎng)和收獲模型[J];國(guó)外林業(yè);1988年01期

10 郭雙月;;淺析森林資源一類(lèi)清查與二類(lèi)調(diào)查[J];河北林業(yè)科技;2011年03期

相關(guān)博士學(xué)位論文 前1條

1 趙俊卉;長(zhǎng)白山云冷杉混交林生長(zhǎng)模型的研究[D];北京林業(yè)大學(xué);2010年

，

本文編號(hào)：1997737