Measurement Principles of TRIME-TDR System and its Application in Caijiachuan Watershed,the Loess Plateau,China

Time domain reflectometry (TDR) is a highly accurate and automatic method for determination of porous media water content and electrical conductivity. This paper focuses on the basic principle of TDR technology and its application in Caijiachuan watershed, the Loess Plateau, China, the composition and structure of a set of TDR-TRIME. The installation, measurement and calibration of TRJME-TDR in the Loess Plateau has been introduced. The factors that can influence the veracity of the measurement by TDR have also been analyzed in the article.     

Soil organic carbon storage in forest restoration models and environmental conditionsOA

The scale of forest and landscape restoration is expected to increase during the UN Decade on Ecosystem Restoration and its contribution to the provision of critical ecosystem services to society. Several models of forest restoration may improve ecosystem services, including soil organic carbon(SOC) storage. A review was carried out to access:(1) the variability of SOC storage between worldwide forest restoration models and,(2) the effects of climate, soil class, soil texture, and vegetation typ...     

Development of Electroless Copper and Gold Plating on Wood

The use of more and more electron products requires interior wood products to have the performance of electromagnetic shielding. One of the ways to realize it is to introduce the chemical plating which has already been developed in electron industry into wood processing. The paper clarifies the mechanism of electroless copper and gold plating and its application to wood. It emphasizes the development and technology of electroless copper and gold plating on wood. Meanwhile, it points out that it is highly feasible to take this technology into effect.     

Diameter distributions in Pinus sylvestris L. stands:evaluating modelling approaches including a machine learning techniqueOA

The diameter distribution of trees in a stand provides the basis for determining the stand’s ecological and economic value,its structure and stability and appropriate management practices.Scots pine(Pinus sylvestris L.) is one of the most common and important conifers in Turkey,so a well-planned management schedule is critical.Diameter distribution models to accurately describe the stand structure help improve management strategies,but developing reliable models requires a deep understanding of ...     

Establishing Forest Landscape Resources Information System Based on 3S Technique

The application of Geographic Information System(GIS), Remote Sensing(RS) and Global Position System(GPS) in the research of forest landscape is outlined in this paper. The integration of the 3S technique is also described. In the 3S system, RS is used to obtain the various information of forest landscape. GPS is used to obtain the ground data of orientation and guide the people to the different places. And GIS is used in information management and processing.     

Growth and decline of arboreal fungi that prey on Bursaphelenchus xylophilus and their predation rateOA

Pine wilt disease caused by pine wood nematodes is a deadly disease of the genus Pinus requiring strong quarantine measures.Since its discovery,it has been widely distributed throughout the world.China is one of the countries with a severe rate of infections due to its abundant pine resources.In this study,nematode-trapping fungi were collected from pine trees in Ninghai City,Zhejiang Province,which is the key area of pine wilt control in February,May,September,October and November.The results s...     

Improved guidelines for any-aged forestryOA

Any-aged forest management(AAF) is a means to reduce clear-felling without compromising profitability or timber production.The concept of AAF is to choose between clear-felling or thinning one harvest at a time based on what is better at that time in terms of the management objectives for the forest.No permanent choice is made between rotation forest management(RFM) and continuous cover forestry(CCF).Optimized AAF is never less profitable than RFM or CCF because all cutting types of both RMF and...     

Preservation of Juniperus thurifera L.:a rare endangered species in Algeria through in vitro regeneration

Juniperus thurifera L.is an endemic Cupres saceae from the Aure`s Mountains of north eastern Algeria and endangered,in part,due to the scarcity of viable seeds It is threatened by other abiotic factors and the lack of an effective management strategy will increase its risk o extinction.The dearth of information on its in vitro regeneration impedes its application in forest managemen programs.We therefore developed a micropropagation protocol using microcuttings with auxiliary buds.Cuttings were grown on different combinations of media supplemented with plant growth regulators at different concentrations.The highest number of shoots and branches regenerated from original shoots was obtained on Woody Plant Medium(WPM)supplemented with 6-benzylaminopurine(BAP)(0.5 mg L^-1)and 2,4-dichlorophe noxyacetic acid(2,4-D)(0.25 mg L^-1).The best elongation of shoots was achieved with WPM supplemented with0.5 mg L^-1of BAP and 0.25 or 1 mg L^-1 of 2,4-D.On the second subculture,shoots had a higher number of branches than those of the first.The highest rooting rate,38.8%,was obtained with shoots cultured in 1/2 Murashige and Skoog(MS)medium supplemented with 5.0 mg L^-1each of indol-3-butyric(IBA)and naphthalene acetic acid(NAA).Similarly,the highest root numbers and lengths were produced on 1/2 MS medium supplemented with IBA and NAA(5.0 mg L^-1each).During transfer to acclimatization,rates of plant losses of 50% occurred.The second part of the experiment showed that the best shoot callusing was on WPM supplemented with BAP and 2,4-D,with either the combination 0.5+0.25 or 0.25+0.25 mg L^-1.The results of this research provide a starting point for further studies on in vitro regeneration of J.thurifera for the sustainable management of its unique ecosystem in the Mediterranean basin.     

Research Review of Post-Evaluation for Comprehensive Benefits of Forestry Ecological Programs

The paper summarized the meaning of post-evaluation for comprehensive benefits of forestry ecological programs, discussed and reviewed its development process in terms of content, indicators and methodologies, and finally presented its development trend from the perspectives of theoretical research, methodological research and application research.     

基于偏最小二乘法的近红外光谱定量分析模型测定八角茴香中莽草酸含量

采用偏最小二乘法(PLS)建立测定八角茴香中莽草酸含量的近红外(NIR)光谱定量分析模型.应用多种光谱预处理方法分别对八角茴香固体粉末样品的NIR光谱进行预处理,并采用预处理后的光谱建立定量分析模型,每个模型均经过选择最有效的光谱区域和最适主因子数进行优化.经过比较各个模型的内部交互验证均方根误差(RMSECV)和交互验证预测值与真实值间的相关系数(RV),外部预测均方根误差(RMSEP),选取最优的模型,结果表明定量分析模型稳健性好和测定精度高,在中药有效成分定量分析方面有很好的应用前景.     

近红外光谱法快速测定速生桉木化学成分含量

用常规方法测定了104个速生桉木样品的综纤维素、聚戊糖、酸不溶木素及苯醇抽出物含量并采集了样品的近红外光谱。对原始光谱进行多元散射校正后,运用偏最小二乘法和交互验证的方法,确定最佳主成分数并建立样品相关化学成分含量的校正模型。独立验证中综纤维素、聚戊糖、酸不溶木素和苯醇抽出物模型的决定系数 Rval2分别为0.9067、0.9033、0.9504、0.9570;预测均方根误差(RMSEP)分别为0.33%、0.50%、0.31%、0.17%;相对分析误差(RPD)值分别为3.22、3.20、4.43、4.73;绝对偏差(AD)分别为?0.53%~0.60%、?0.95%~0.77%、?0.55%~0.52%、?0.22%~0.29%,4个校正模型较好地预测了验证集样品的化学成分含量,基本满足制浆造纸工业中快速测定速生桉木原料的需求。     

基于不同预处理的椴树木材基本密度近红外光谱估测及模型优化

【目的】木材的基本密度在木材质量等级评定中起着重要的作用,是木材分流及精细化利用的重要依据。利用近红外光谱技术,实时监测木材性质,掌握木材性质的变化,为进一步制定和改善林木培育方法提供理论依据。【方法】借助树木生长锥对椴树活立木取样,以椴树样品基本密度真值和近红外光谱数据为输入,分别通过卷积平滑、一阶导数和二阶导数预处理方法来实现近红外光谱数据的预处理,建立了基于偏最小二乘法(PLS)的椴树木材基本密度的近红外估测模型。【结果】在350~2 500 nm波段范围内,一阶导数预处理的椴树木材基本密度模型是最优的,校正集相关系数为0.964 8,校正均方根误差为0.002 7,验证集相关系数为0.943 2,预测均方根误差为0.003 3。在对近红外光谱数据进行去噪优化处理,构建椴树木材基本密度模型后,在500~2 300 nm波段范围内,一阶导数预处理椴树木材基本密度模型依旧最优,其校正集相关系数为0.987 1,校正均方根误差为0.001 6,验证集的相关系数是0.948 6,预测的均方根误差是0.002 1。【结论】选择特定的预处理方法,结合样本特征,建立椴树木材基本密度模型,可以显著降低建模成本,提高模型预测精度,快速测定椴树木材的基本密度。     

Prediction of mechanical properties of Chinese fir wood by near infrared spectroscopy

Mechanical properties and the visible and near infrared (NIR) (350–2500 nm) spectra obtained from longitudinal and transverse face of 155 small clear wood samples of Chinese fir (Cunninghamia lanceolata) were measured, and 103 of them were used to establish calibration models. Calibrations were tested on an independent set (52 samples). Differences between calibrations developed by using the longitudinal and transverse face were small. The calibrations developed by using NIR spectra (350–2500 nm) collected from transverse face were slightly inferior to those developed by using NIR spectra collected from longitudinal face. When reducing the spectral range to between 780 and 1050 nm, the calibrations developed by using NIR spectra collected from longitudinal face were slightly inferior to those developed by using NIR spectra collected from transverse face, and reducing the spectral range causes no decrease in the quality of the models developed using NIR spectra collected from transverse face. Partial lease square (PLS) modeling and test showed that calibrations developed using the visible and NIR spectra from transverse and longitudinal faces and calibrations developed by using the reducing spectral range (780–1050 nm) from the transverse face were moderate, and have a RPD range from 1.51 to 1.90. It is concluded that NIR spectroscopy can be used as an initial screening. __________ Translated from Journal of Northwest Forestry University, 2007, 22(5): 149–154 [译自: 西北林学院学报]     

三种回归分析方法在Landsat-5影像森林碳密度反演中的比较

随着遥感技术的快速发展,基于遥感影像和地面样地的方法成为目前森林碳密度精确估算的主要手段,然而没有找到具有普适性的建模因子和最佳的森林碳密度估算模型。鉴于此,本文通过分析研究区地面固定样地碳密度与Landsat-5影像及其衍生波段的相关性,筛选出估算森林碳密度的敏感因子。采用三种回归分析方法(逐步回归、偏最小二乘回归及非线性回归)分别建立森林碳密度的最优遥感估算模型。结果表明:1参与建模的遥感因子中,1/TM3与森林碳密度的相关性最大,敏感性最高;2三种回归分析方法建立的预测模型中,以4个遥感因子建立的非线性回归模型预测精度最高,预测值与实测值得决定系数R2为0.74;3通过测算,研究区平均森林碳密度为14.36 t/hm2,变化范围介于0.00~38.28 t/hm2之间。研究表明非线性回归在区域森林碳密度反演方面具有一定的潜力。     

Nondestructive evaluation of drying stress level on wood surface using near-infrared spectroscopy

A nondestructive technique for swiftly measuring the stress level of the surface of wood is proposed, which is important for process control in timber drying. Partial least squares (PLS) regression models for predicting surface-released strain (ε) were developed using NIR spectra obtained from Sugi (Cryptomeria japonica D. Don) samples during drying. The predictive ability of the models was evaluated by PLS analysis and by comparing NIR-predicted ε with laboratory-measured values. The PLS regression model using the NIR spectra pre-processed by MSC and second derivatives with a wavelength range of 2,000–2,220 nm showed good agreement with the measurement (R ² = 0.72). PLS analysis identified the wavelengths around 2,035 nm as making significant contributions to the prediction of ε. Orthogonal signal correction (OSC) was an effective pre-processing technique to reduce the number of factors required for the model using the wavelength range 1,300–2,500 nm. However, the predictive ability of the OSC-corrected model was not improved. Elapsed times to reach the maximum tensile stress (T _max) and the stress reversal point (T _rev) at the wood surface during drying were detected correctly for 75 % of the samples. The results show that NIR spectroscopy has potential to predict the drying stress level of the timber surface and to detect critical periods in drying, such as T _max and T _rev.     

An application of Neurogenetic Algorithm System to individual tree growth model

A neural network system with genetic algorithms (Neurogenetic Algorithm System, or NGAS) was employed to develop individual coniferous tree growth models. A multivariable regression model was applied to compare the performance of NGAS. An IBM personal computer with the BioComp System’s software program of NGO was used to execute this comparison. The results indicate that NGAS is more accurate and effective than the conventional regression method in modeling individual tree growth based on the criteria of Sum of Squared Error (SSE), Average Absolute Error (AAE), Mean Squared Error (MSE) and Final Predicted Error (FPE). This study also suggests that individual tree growth may indeed be a non-linear process. Using this flexible neural network system to model individual tree growth can yield satisfactory prediction results.     

近红外光谱法测定毛竹综纤维素的含量研究

研究了用近红外光谱(NIR)结合多变量统计分析技术对毛竹综纤维素含量的快速测定。用常规实验室方法测定了54个竹材样品的综纤维素含量,用近红外光谱仪采集相应样品的光谱,对原始光谱进行二阶导数和25点平滑预处理后,从54个竹材样品中挑选41个代表性的样品建模,选择1011~1675nm和1930~2488nm波段区间,用偏最小二乘法(PLS1)和完全交互验证方式建立毛竹综纤维素含量的预测模型。结果表明,毛竹综纤维素含量和近红外光谱之间存在非常好的相关性,预测模型的相关系数(RP)为0.95,预测模型的标准偏差(SEP)为0.76%。     

应用NIR及主成分回归预测落叶松密度的研究

运用近红外光谱主成分回归法对落叶松样品密度进行研究，校正集的相关系数（R）为0．86，校正集标准误差（SEC）为0．01，预测集的相关系数（R）为0．89，预测集标准误差（SEP）为0．02，对未参与建模的12个未知样品进行密度预测，相关系数达0．95。研究表明，近红外光谱能够快速、准确地对落叶松样品密度进行预测，这为快速检测落叶松木材材性提供了一种新方法。     

Optimization potential for perception-oriented appearance classification by simulated sawing of computed tomography-scanned logs of Norway spruce

Abstract

Wood, as a natural material, has favourable properties in both technical and aesthetic aspects. Due to its inherent variability, production of high-quality sawn timber demands adequate control of log conversion, which is feasible with computed tomography (CT) log scanning. Existing appearance grading rules for sawn timber might not fully reflect people's visual perception of wood surfaces, and therefore, an alternative, more perception-oriented appearance classification could be beneficial. An appearance classification of sawn timber based on partial least squares discriminant analysis (PLS-DA) of knot-pattern variables was developed and tested. Knot-pattern variables derived from images of board faces were used in training PLS-DA models against an initial classification of the board faces previously established by aid of cluster analysis. Virtual board faces obtained from simulated breakdown of 57 CT-scanned Norway spruce logs were graded according to the developed classification. Visual assessment of the grading results indicated that the classification was largely consistent with human perception of board appearance. An initial estimation of the potential to optimize log rotation, based on CT data, for the established appearance grades was derived from the simulations. Considerable potential to increase the yield of a desired appearance grade, compared to conventional log positioning, was observed.