日本落叶松人工林密度调控技术研究

以日本落叶松中幼林抚育间伐样地监测数据,利用树冠竞争因子（CCF）、林分密度指数、单位断面积生长过程等指标,分析了抚育间伐对断面积和蓄积两方面的影响,结果表明：间伐林分的断面积和蓄积有相同的生长过程,即林分在一定间伐强度范围内（强度小于50％）间伐强度越大,年均生长率越大;用树冠竞争因子描述日本落叶松人工林断面积的生长过程,未间伐林分的立木度接近稳定状态,而间伐林分降低了林分的CCF值,随着林龄的增加,CCF值不断增加,逐渐向未间伐林分靠近。总的来说间伐林分在间伐初期要小于未间伐林分,但随着林龄的增大及林木竞争的加剧,间伐林分逐渐向未间伐林分靠近。     

林分断面积生长模拟理论与技术研究

林分断面积是众多测树因子中的核心因子。文中对林分断面积生长规律及其模拟技术研究进展进行了综述, 分析了自然生长林分与间伐林分断面积生长的异同, 并重点从生长方程的选取、断面积模型的分类研制、研制途径及间伐指标、林分自变量及密度指标以及单木竞争指标等5个方面探讨了林分断面积模拟研究进展, 指出林分断面积生长模拟理论与技术领域存在的问题及未来研究重点, 以期为相关研究提供借鉴与参考。     

阿尔山地区兴安落叶松林下植物种群生态位

将由林龄(AG)、海拔(AL)以及物种数目(IS)组合而成的综合资源位指数(RGI)作为资源轴的划分标准,应用Levins(B_(sw)i)和Shannon-Wiener(B_(L)i)生态位宽度指数,生态位重叠指数(L_ih和L_hi)以及生态位相似性比例指数(C_ih)等将阿尔山地区不同起源的兴安落叶松林(天然林、人工林及火烧迹地恢复林)划分为6个资源位,在此基础上进行群落调查,对林下植物种群的生态位进行了定量分析。结果表明:兴安苔草和黑麦草的重要值最大,不同资源位重要值之和达到114.924 8%和70.911 1%。生态位宽度较大的有北方拉拉藤、粗根老鹳草、黑麦草及兴安苔草,这些物种适应能力强,分布范围大,倾向于泛化种。生态位狭小的植物种群则可能成为林区进行植物多样性保护的重点,需要引起特别关注。本研究证实生态位宽度较大种群与其他种群存在较大的生态位重叠和相似性,而这在某些重要值较低且生态位宽度较窄的种群也会出现(如铁杆蒿、黄花委陵菜及巴天酸模),生态位重叠和相似性并非仅仅取决于生态位宽度。生态位重叠既能反映两种群在共享资源时的竞争关系,也能反映两者在利用资源时相互促进的关系。生态位宽度较大的植物种可作为植被恢复阶段的先锋种,而与其生态位重叠较大的物种以及与先锋种生态位相似性比例较小的物种则可作为伴生种,以便于充分利用环境资源,逐步恢复受损地区的植被。     

杉木幼龄林分断面积生长的良种与密度效应研究

[目的]探讨不同良种和初植密度对杉木幼龄期断面积生长的影响及其互作效应,以揭示在这两个控制因子下杉木林断面积生长发育规律。[方法]以2012年春在福建省邵武卫闽国有林场营造的杉木良种和初植密度互作试验林为研究对象,根据8年的逐年定位观测资料,分析2个杉木种子园良种(第1代种子园良种和第3代种子园良种)和4种初植密度(1 667、3 333、5 000、6 667株·hm~(-2))控制下的林分断面积生长动态效应。[结果]初植密度对林分断面积生长具有极显著影响,同一林龄下,初植密度越高,林分断面积生长愈大。林分断面积生长的良种效应差异不显著,但低初植密度下(1 667和3 333株·hm~(-2)),第3世代良种的断面积生长要高于第1世代良种,且随林龄增长这种现象愈明显。方差分析结果表明良种和初植密度间交互效应不显著,多重比较结果表明:低初植密度下,良种对断面积生长的正效应和密度对断面积生长的正效应具有叠加效应,且随林龄增长这种叠加效应愈明显,而高初植密度下(5 000和6 667株·hm~(-2)),不同良种和密度组合下的断面积生长差异不显著。[结论]低初植密度下,杉木幼龄林分断面积生长的良种和密度效应具有叠加效应,第3世代良种初植密度为3 333株·hm~(-2)的断面积生长显著高于第1世代良种初植密度为1 667株·hm~(-2),随初植密度增大,良种对林分断面积生长的影响程度逐渐减弱。     

含间伐强度哑变量的关帝山油松天然林单木断面积生长模型构建

以关帝山林区9块油松天然林固定样地为研究对象,选择4种具有生物学意义理论生长方程,构建包含立地条件、年龄及竞争指标的油松单木断面积基础模型,将间伐强度作为哑变量引入模型,比较模型拟合效果的差异。结果显示:单木断面积基础模型决定系数R~2为0.46～0.52,P值为0.89～0.92,含间伐强度哑变量的单木断面积生长模型R~2和P值均有显著提高,分别为0.51～0.61和0.95～0.99;含间伐强度哑变量的Weibull方程拟合效果最优,其模型R~2为0.606 1,P值为0.991 2。含哑变量的油松单木断面积生长模型可以有效解决间伐类型差异对断面积预估的影响,提高建模精度与模型适用性。     

赣县稀土采矿区巨桉林地土壤抗蚀性评价

通过野外调查与室内分析相结合,应用主成分分析法,从衡量土壤抗蚀性的16个指标中,优化得到赣县稀土采矿区巨桉林地土壤抗蚀性7个最佳评价指标：分散系数（X₁）、团聚度（X₂）、>0.25 mm水稳性团聚体含量（X₃）、>0.5 mm水稳性团聚体含量（X₄）、<0.05 mm粉黏粒含量（X₅）、>0.25 mm团聚体破坏率（X₆）和<0.001 mm黏粒含量（X₇）,并以此为变量分析比较不同林龄巨桉林地土壤抗蚀性变化规律。结果表明：不同林龄巨桉林地土壤抗蚀性综合指数大小为：1年生林地>2年生林地>4年生萌芽1 a林地>裸露地。在此基础上,以上述7个评价指标为自变量,以土壤抗蚀性综合指数（Y）为因变量,进行回归分析,得出稀土采矿区土壤抗蚀性综合评价方程为：Y=0.309 X₁+0.038 X₂ -0.161 X₃ -0.643 X₄ +0.491 X₅ -0.032 8 X₆ +0.129 X₇ +41.637,因子决定系数R²=0.991 5,F=49.84,各因子间显著相关,方程拟合较好,可为构建稀土采矿区土壤抗蚀性评价指标体系提供依据。     

栎树林分因子与栗山天牛危害程度的风险分析

研究了13个与栗山天牛危害程度有关的林分因子,并对这些林分因子与栗山天牛危害林地有虫株率进行逐步回归分析,从中筛选出林地坡位、栎树胸径和主林层郁闭度3个关键因子。结果表明:栗山天牛危害林地有虫株率(y)与坡位(x₁)和胸径(x₆)呈显著正相关关系,与主林层郁闭度(x₄)呈显著负相关关系,依此建立多元回归模型:y=0.071 2+0.691 8x₁-0.507 4x₄+0.561 3x₆,经检验,平均差异程度为0.174 2。因此,可用该模型对栗山天牛危害程度进行风险评估。     

与距离无关竞争因子对单木断面积生长的影响

与距离无关的竞争因子广泛应用于林木生长模型的构建及预测,对于林分生长过程的准确预测、森林经营管理的科学调控具有重要作用。该文对竞争因子的概念及分类、与距离无关竞争因子与断面积生长的关系、单木断面积生长模型构建的方法等关键问题进行了论述,并对竞争因子有待深入研究的方向进行了展望。     

黑杨DNA甲基转移酶基因片段的分离及表达分析

利用同源序列克隆技术,分离了三倍体黑杨中4类(MET、CMT、DRM、DNMT2)8个特异甲基转移酶片段,其中,5个片段与二倍体同源性达到100%,3个片段发生了剪切变化。通过实时定量PCR技术检测8个甲基转移酶在不同倍性、不同部位、不同生长时期间表达模式的差异,通过对5个不同部位基因表达的检测,表明不同倍性黑杨在相同的部位可能由不同种类的甲基转移酶参与主要的甲基化调控。通过分析植株从分化早期的茎尖到分化晚期的叶和茎整个生长过程中基因表达的情况,发现随着时间的推移,MET家族 (PnD1和PnD2) 基因可能是拮抗调节,CMT (PnD3和PnD4) 家族基因可能是协同调节;而隶属于DNMT2家族的PnD6基因在各部位的表达都比较弱,唯独三倍体茎尖有很高的表达。由于茎尖是生长旺盛的部位,PnD6有可能是影响三倍体速生的重要基因。这些结果可能暗示,DNA甲基转移酶基因可能参与了黑杨发育过程中叶片形态发生的过程。     

I－69杨胶合板用材林密度及立地效应研究

以胶合板材为培育目标,研究了I-69杨胶合板用材林平均单株材积与造林密度和优势高的关系。分别不同林龄(6～11a)建立了平均单株材积与造林密度及优势高的模型V=a₀N^a₁ H₀^a₂,通过生产弹性分析、边际产量分析,研究了密度效应及优势高效应,计算出了不同林龄林分的生产弹性值和边际产量,并且根据立地及密度效应模型研究了造林密度、林龄、立地指数对林分蓄积的影响。认为在长江中、下游地区营造I-69杨胶合板用材林密度应适当减小,选择造林地时以立地指数大于等于20m林地为佳。     

Basal area growth models for individual trees of Norway spruce, Scots pine, birch and other broadleaves in Norway

Distance-independent individual tree growth models based on about 30,000 observations from the National Forest Inventory and the Norwegian Forest Research Institute have been developed for the main tree species in Norway. The models predict 5-year basal area increment over bark for trees larger than 5 cm at breast height. Potential input variables were of four types: size of the tree, competition indices, site conditions, and stand variables including species, mixtures and layers. The squared correlation coefficient (R²) varied from 0.26 to 0.55. The accuracy of the models was tested by comparing the individual tree models with Norwegian diameter increment models. The accuracy is similar, but individual tree models forecast diameter distributions directly. The inclusion of species mixture and layer as variables increases the reliability of the models in mixed and in uneven-aged stands.     

A Basal Area Increment Model for Norway Spruce in Mixed Stands in Estonia

An individual tree basal area increment model was developed for Norway spruce [Picea abies (L.) Karst] in mixed stands of spruce and birch in Estonia. Different regression equations were fitted for different combinations of variables to obtain biologically tractable interactions between growth and factors affecting it. The best fit index of the regression model was pursued in trials with variable combinations. The basal area increment was chosen to describe the tree growth and both the diameter and age of the tree were included as independent variables. The logical growth relationships were obtained. The basal area increment has a culmination introduced by the simultaneous influence of tree size and age explicitly included in the model. The stand level attributes contributed modestly to the explanatory power of the model because of the narrow range of stand conditions sampled. The present model is applicable to Estonian conditions.     

Evaluating tree competition indices as predictors of basal area increment in western Montana forests

Fire hazard reduction treatments are commonly applied to mixed-species coniferous forests in western Montana, USA, to modify fuels structures and alter the competitive environments of individual trees. An improved understanding of how competition can be measured and how it conditions individual tree growth is needed for projecting the development of these forests, with and without treatment. Numerous studies have evaluated how competition affects tree growth and many indices have been developed to quantify the competition an individual tree experiences. These studies suggest that no single competition index or a single class of indices is universally superior; indices perform differently according to forest type and forest conditions. We chose several widely used distance-independent and distance-dependent competition indices, and also derived anisotropic distance-dependent indices from estimates of light interception by tree crowns. We evaluated the effectiveness of these competition measures for predicting basal area increment (BAI) of Pinus ponderosa, Pseudotsuga menziesii, and Larix occidentalis in western Montana. The best distance-dependent competition indices explained a larger proportion of growth variation than the best distance-independent indices (64% vs. 56%). This result indicates that competition is an important growth determinant in these forests and that competition varies locally, with variable tree densities and relatively complex stand structures creating heterogeneous neighborhood conditions. Competition indices derived from light interception models were only weakly correlated with other indices and performed poorly in terms of predicting tree growth. This result accords with previous observations that competition for light is not the primarily growth limitation for trees in the semi-arid conditions of western Montana. More sophisticated light availability models could be used to better assess variability in light interception and its marginal contribution to predictive accuracy of radial tree growth. Diameter and distance-dependent BAI models were developed for growth prediction at the species level and for all species combined.     

Quantitative relationships between fine roots and stand characteristics

Fine roots absorb nutrients and water for photosynthesizing leaves, which in return provide them with hydrocarbon products. Knowledge of the fine root biomass (FRB) at the individual tree level and its relationships with other components related to tree growth, especially leaves aboveground, is scarce. Therefore, we reviewed the FRB of major forest-forming species using a database of 518 forest stands compiled from the literature, including 21 tree species and 16 shrub species, in order to confirm the relationships between environmental or forest stand variables and FRB at the stand and tree levels, and we further determine the relationships between fine roots belowground and leaves aboveground. Correlations between FRB and site characteristics (latitude, elevation, age, density, and basal area) appeared to be species-specific. There were hardly any significant correlations between stand FRB and latitude, elevation, stand age and stand density. Tree FRB was better correlated with tree basal area than stand FRB with stand basal area. There was a significant linear relationship between tree FRB and tree basal area. In addition, individual FRB was significantly linearly related to leaf biomass for all analyzed species. When these species were grouped into coniferous and deciduous, or all species together, there were still significant linear relationships between tree FRB and tree basal area and leaf biomass. The ratios of FRB to leaf biomass varied between and among species and even among regions for the same species. For both Picea abies and Pinus sylvestris, the ratio of FRB to leaf biomass was negatively related to the ratio of annual actual evapotranspiration to annual potential evapotranspiration, which was an indicator of water availability.     

The impact of atmospheric deposition and climate on forest growth in European monitoring plots: An individual tree growth model

In the climate change discussion, the possibility of carbon sequestration of forests plays an important role. Therefore, research on the effects of environmental changes on net primary productivity is interesting. In this study we investigated the influence of changing temperature, precipitation and deposition of sulphur and nitrogen compounds on forest growth. The database consisted of 654 plots of the European intensive monitoring program (Level II plots) with 5-year growth data for the period 1994–1999. Among these 654 plots only 382 plots in 18 European countries met the requirements necessary to be used in our analysis. Our analysis was done for common beech (Fagus sylvatica), oak (Quercus petraea and Q. robur), Scots pine (Pinus sylvestris) and Norway spruce (Picea abies). We developed an individual tree growth model with measured basal area increment of each individual tree as responding growth factor and tree size (diameter at breast height), tree competition (basal area of larger trees and stand density index), site factors (soil C/N ratio, temperature), and environmental factors (temperature change compared to long-term average, nitrogen and sulphur deposition) as influencing parameters. Using a mixed model approach, all models for the tree species show a high goodness of fit with Pseudo-R² between 0.33 and 0.44. Diameter at breast height and basal area of larger trees were highly influential variables in all models. Increasing temperature shows a positive effect on growth for all species except Norway spruce. Nitrogen deposition shows a positive impact on growth for all four species. This influence was significant with p < 0.05 for all species except common beech. For beech the effect was nearly significant (p = 0.077). An increase of 1 kg N ha⁻¹ yr⁻¹ corresponds to an increase in basal area increment between 1.20% and 1.49% depending on species. Considering an average total carbon uptake for European forests near 1730 kg per hectare and year, this implies an estimated sequestration of approximately 21–26 kg carbon per kg nitrogen deposition.     

Tree growth-competition relationships in thinned Eucalyptus plantations vary with stand structure and site quality

Growth responses to thinning can vary with site quality and age, however, the direction of the response varies. An understanding of the mechanisms behind thinning responses could help forest managers optimise production as well as inform modellers and ecologists about the functioning of tree stands. Thinning was used to create a range of stand densities in eleven Eucalyptus plantation stands on seven sites in south-eastern Australia. Basal area periodic annual increment (PAI; cm² year^?1) of individual dominant and codominant trees was then related to competition, such that PAI = a + b ln(Competition). Competition was defined as the sum of the basal area of neighbouring trees within a radius of 6.5 m. The relative (%) and absolute (cm² year^?1) responses to competition were quantified using b, which was correlated with site quality and stand structure of unthinned stands. Stand structure was quantified using statistics or parameters that describe the diameter distribution for the given age, species and site, including skewness, the coefficient of variation and parameters of the Weibull probability distribution. Relative and absolute responses both increased with increasing site quality and in stands with more negatively skewed diameter distributions (higher proportion of larger trees) or lower coefficients of variation. Absolute thinning responses often increased with increasing size class, while relative thinning responses often decreased. Variables describing diameter distributions (size-class structure) were able to describe some of the variation in competition responses that site quality could not. This indicates why stands on similar site qualities but with different stand structures can have correspondingly different thinning responses. Stand structural variables may be more useful predictors of thinning responses in stands that experience large temporal changes in diameter distributions compared with site quality, which is a more static variable. Thus, knowledge about the development of diameter distributions might help to refine thinning regimes.     

Stand basal area as an index of tree competitiveness in timber intercropping

To derive optimal benefits from intercropping timber, farmers should make important initial decisions on tree species and planting density with a good understanding of their tradeoffs. Complex and data-intensive models used by researchers should be supplemented with simpler models based on easily measured parameters and easily understood competition functions. In experiments in the Philippine uplands, growth parameters of three popular farm-forestry species (Eucalyptus deglupta, E. torelliana, and Paraserianthes falcataria) were measured, along with intercropped and non-intercropped yields of maize and vegetables. The commonly used forestry parameter of stand basal area had a significant negative correlation with intercrop yields (as a percentage of non-intercropped yields). The slope of the regression line differed between species; in this study, percent yield loss per unit stem basal area growth was in the order E. deglupta > E. torelliana > P. falcataria. The relationship between stand basal area and intercrop-yield decline was tested on an independent data set from China. Intercrop yields had significant negative correlations with stand basal area of Paulownia elongata. We propose that adaptive tree-screening trials evaluate competitiveness in addition to evaluating growth and mortality. Stand basal area may be better suited to this task than more mechanistic indices such as leaf-area index as it is easy to measure, calculate, and understand, and it may serve as a better index of total (aboveground + belowground) competition. Basal area is also directly related to tree volume, and allows farmers to more easily evaluate the economic tradeoffs between tree growth and intercrop-yield declines. This revised version was published online in June 2006 with corrections to the Cover Date.     

A test of the accuracy of two individual tree growth functions for Picea abies

The accuracy of two distant‐independent diameter growth functions for individual trees of Picea abies L. (Karst.) are tested on plots older than 55 years b.h., and with relatively few trees per hectare. Both functions (I1 and I2) have site index, stand basal area, and individual tree basal area as explanatory variables; in addition age at breast height is used in Function I1. Relative to mean measured increment, Functions I1 and I2 underestimate the growth of the test plots by 4.4% and 10.9% respectively; Function I1 shows a root mean squared deviation of 29.2% for single plot predictions, and 5.4% for mean of all plots. Function II predicts the growth as well as some stand functions frequently in use in Norway. Function I2 is unacceptable because age is not an independent variable.     

A basal area increment model for individual trees growing in even- and uneven-aged forest stands in Austria

Because of the gradual shift from pure even-aged forest management in central Europe, existing yield tables are becoming increasingly unreliable for forest management decisions. Individual tree-based stand growth modeling can make accurate stand growth predictions for the full range of conditions between pure even-aged and mixed-species uneven-aged stands. The central model in such a simulator is basal area increment for individual trees. Spatial information is not needed, and age and site index are intentionally not used to gain generality for all possible stand conditions. A basal area increment model is developed for all the main forest species in Austria: spruce (Picea abies), fir (Abies alba), larch (Larix decidua), Scots pine (Pinus sylvestris), black pine (Pinus nigra), stone pine (Pinus cembra), beech (Fagus silvatica), oak (Quercus robur, Quercus petraea and Quercus cerris), and for all other broadleaf species combined. The Austrian National Forest Inventory provided 5-year basal area increment from 44 761 remeasured trees growing on 5416 forested plots in the 1980s. This large sample is representative of forest conditions and forest management practices throughout Austria and therefore provides an excellent data base for the development of an increment model. The resulting increment model explained from 20 to 63% of the variation for all nine species and from 33 to 63% of the variation if the minor species Pinus cembra is excluded. These results compared quite closely with those of Wykoff for mixed conifer stands in the Northern Rocky Mountains. In the Austrian model, size variables (breast height diameter and crown length) accounted for 14–47% of the variation in basal area increment, depending on tree species. The best competition measure was the basal area of larger trees, which provides a tree-specific measure of competition without requiring spatial information; crown competition factor provided only minor improvement. Competition variables accounted for 9% of the variation on average, and up to 15% for some species. Topographic factors (elevation, slope, aspect) explained up to 3% of the variation, as did soil factors. Remaining site factors; such as vegetation type and growth district accounted for a maximum of 3% of the variation in increment. In total, site factors explained from 2 to 6% of the variation. Even though site factors account for a small percentage of the variation, they are not only significant, but serve to localize a particular prediction. These species-specific interrelationships between basal area increment and the various size, competition, and site varibles correspond quite well with ecological expectations and silvicultural understanding of these species in Austria. Because the sample base is so strong, the resulting growth models can be recommended not only for all of Austria but for surrounding regions with similar growth conditions.     

A basal area increment model for individual trees in mixed continuous cover forests in Iranian Caspian forests

The aim of this study was to develop and test a new basal area growth model in mixed species continuous cover forests in northern Iran.Weanalyzed 421 core samples from 6 main species in the forest area to develop our growth model.In each plot,we measured variables such as total tree height(m),diameter at breast height(DBH)(cm)and basal area of larger trees as cumulative basal areas of trees(GCUM)ofDBH[5 cm.The empirical data were analyzed using regression analysis.There was a statistically significant nonlinear function between the annual basal area increment,as the dependent variable,and the basal area of the individual trees and competition as explanatory variables.Reference area from the largest trees,was circular plot with area of 0.1 ha.GCUM was estimated for trees of DBH>5 cm.Furthermore,we investigated the dependencies of diameter growth of different species on stand density at different levels of competition,and diameter development of individual trees through time.The results indicate that competition caused by larger neighborhood trees has a negative effect on growth.In addition,the maximum diameter increment is affected by competition level.Therefore,the maximum diameter increment of species occurs when the trees are about 35–40 cm in dense-forest(40 to 0 m^2 per ha)and when the trees are about 60 to 70 cm in very dense forest(60 to 0 m^2 per ha)which is more likely to Caspian natural forests with high level density due to uneven-aged composition of stands.