柏木混交林类型分布立地条件的研究

本项研究应用主成分排序方法研究四川盆地4种天然柏木混交林分布与立地条件的关系,结果表明:区域内影响柏木混交林类型分布的主导立地因子是地形、土层厚度、水湿状况、土壤碳酸钙含量、pH值等。桤柏混交林主要分布在山中下部平缓的台阶低洼地带,水湿条件较好,土层深厚的地方;栎柏混交林主要分布在山中上部干燥瘠薄的立地上,生产力低;桤栎柏混交林介于二者之间;松柏混交林要求土壤中碳酸钙含量低,土壤呈微酸性至中性反应。林下灌木树种分布与立地条件因子无明显规律性。     

The use of vegetable phytometers in the evaluation of the potential response of understorey crops to the aerial environment in an interculture system

Carrots, onions, radishes and peas, growing in pots were placed at various locations in a pear orchard and used as phytometers to characterise the aerial environment. The growth of plants growing beneath the orchard canopy was not significantly less than that of phytometers grown in the open. However, the bulb diameter of radish and onion was significantly reduced when growing immediately beneath pear trees. Radish was selected as a suitable phytometer for further research.     

不同阔叶树种和不同混交林模式的林分生长状况初步研究

对不同阔叶树种和不同混交林模式的林分生长状况进行测定 ,结果表明 :不同阔叶树种的林分生长存在明显差异 ,表现为南酸枣 >马褂木 >杂种马褂木 >桤木 >观光木 >木荷。不同混交林模式的林分生长存在明显差异 ,以杜英刺楸混交林模式的生长状况最好 ;在 3种杉阔混交林模式中 ,桤木与杉木混交更有利于杉木的生长 ,种间关系更为协调     

山西省太行山林业生态工程混交林建设探讨

建设稳定的林分是历代务林人所追求之目标,该文根据太行山区植被演替现存的稳定群落结构及近年来混交林建设的实践经验,提出了在太行山林业生态工程建设中混交林的营造模式及途径。     

人工-天然杉阔混交林种群生态位及竞争研究

对人工 -天然杉阔混交林中 4个主要种群进行生态位研究 ,定量测定混交林中主要种群生态位宽度、生态位相似比例、生态位重叠 ,并分析了各种群生态位的生态学意义 ;同时采用Lotka_Volterra竞争方程研究混交林中主要种群。结果表明 :通过定量的生态位分析 ,结果与自然规律相符合。平衡时 ,杉木和米槠相对优势度分别为87 4 5 %和 12 5 5 % ,即人工 -天然杉阔混交林仍将由杉木、米槠两种种群共优组成 ,杉木种群支配整个群落。     

Annualized diameter and height growth equations for Pacific Northwest plantation-grown Douglas-fir, western hemlock, and red alder

Simulating the influence of intensive management and annual weather fluctuations on tree growth requires a shorter time step than currently employed by most regional growth models. High-quality data sets are available for several plantation species in the Pacific Northwest region of the United States, but the growth periods ranged from 2 to 12 years in length. Measurement periods of varying length complicate efforts to fit growth models because observed growth rates must be interpolated to a common length growth period or those growth periods longer or shorter than the desired model time step must be discarded. A variation of the iterative technique suggested by Cao [Cao, Q.V., 2000. Prediction of annual diameter growth and survival for individual trees from periodic measurements. Forest Sci. 46, 127–131] was applied to estimate annualized diameter and height growth equations for pure plantations of Douglas-fir, western hemlock, and red alder. Using this technique, fits were significantly improved for all three species by embedding a multi-level nonlinear mixed-effects framework (likelihood ratio test: p < 0.0001). The final models were consistent with expected biological behavior of diameter and height growth over tree, stand, and site variables. The random effects showed some correlation with key physiographic variables such as slope and aspect for Douglas-fir and red alder, but these relationships were not observed for western hemlock. Further, the random effects were more correlated with physiographic variables than actual climate or soils information. Long-term simulations (12–16 years) on an independent dataset using these annualized equations showed that the multi-level mixed effects models were more accurate and precise than those fitted without random effects as mean square error (MSE) was reduced by 13 and 21% for diameter and height growth prediction, respectively. The level of prediction error was also smaller than an existing similar growth model with a longer time step (ORGANON v8) as the annualized equations reduced MSE by 17 and 38% for diameter and height growth prediction, respectively. These models will prove to be quite useful for understanding the interaction of weather and silviculture in the Pacific Northwest and refining the precision of future growth model projections.     

Predicting regeneration establishment in Norway spruce plantations using a multivariate multilevel model

This study predicts the regeneration establishment on 3-year-old Norway spruce (Picea abies (L.) Karst.) plantations in southern Finland using regeneration survey data. Regeneration establishment was described by seven response variables: number of planted spruces, natural Scots pines (Pinus sylvestris L.), natural spruces, natural seed-origin birches (Betula pubescens Ehrh. and B. pendula Roth.) and other broadleaves (i.e. sprout-origin birches and other broadleaves than birch), as well as height of crop-tree spruce and dominant height of broadleaves. Due to the multivariate (several responses for each plot) and multilevel (plot, stand, municipality, forest centre) structure, regeneration establishment was modelled by fitting a multivariate multilevel model with explanatory variables such as temperature sum, site fertility, soil quality and method of site preparation. In the model, the numbers of tree seedlings were modelled using over-dispersed Poisson distributed equations, and the tree heights were modelled using normally distributed linear equations. The estimated fixed and random parameters of the equations were logical, and there was no serious bias in predicting the regeneration establishment in the independent test data set. This modelling approach can be used to predict the regeneration establishment stochastically by taking into account the large unexplained variation in regeneration models.     

FORESTAR：A decision—support system for multi—objective forest management in Northeast China

Past monoculture forestry in China has contributed to countrywide ecological disasters and economic difficulties in forestry regions. China‘s new forestry programs, Natural Forest Conservation Program and Returning Farmlands to Forests Program, provide opportunities for ecosystem management of mountain forests in China. A decision support system, FORE-STAR, has been developed for better managing and protecting natural forests in Changbai Mountain area. It uses GIS-based forest inventory data at a scale of forestry bureau. The first version contains two sub-modules: forest operation and forest res-toration. Under each sub-module, users can compare several decision options and make optimal choices. It can help field for-esters, forest managers, and policy makers make multi-objective and consistent decisions in planning forest management at hierarchical administrative scales.     

马尾松林下补植阔叶树后森林凋落物量、养分含量及周转时间的变化

在25年生的马尾松林下分别补植拉氏栲、青栲、闽粤栲、格氏栲和苦槠,形成针阔混交异龄林。补植16年后,对上述5种混交林类型及马尾松纯林的森林凋落物量、养分含量及周转时间进行研究。上述5个混交群落和马尾松纯林的年凋落物量分别为6149·1、7533·2、6741·1、7151·5、8041·7和3442·8kg·hm-2。各混交群落总凋落物量的季节动态呈双峰型,第1次峰值出现在2—4月份,第2次峰值出现在8、9月份。在凋落物组成中,枯叶占绝对优势,占凋落物总量的50%~71%,其余依次为枯枝6%~26%、树皮9%~19%、果实和其他组分5%~17%。各混交群落中来自马尾松的凋落物占50%~58%,来自阔叶树的凋落物占42%~50%,且两者的组成有明显差异。凋落物各组分的养分含量存在较大差异,N、P、K、Ca、Mg的含量范围分别为3·25~12·98、0·24~0·97、0·37~6·55、12·77~35·40、2·35~6·10g·kg-1。各林分类型凋落物中养分元素的年归还总量为Ca>N>Mg>K>P。5个混交林群落及马尾松纯林凋落物中的养分年归还总量分别为238·05、213·77、223·93、289·90、304·12和142·01kg·hm-2。6个群落的森林地被物现存量分别为8448·0、15565·8、11993·7、12718·6、6974·2和5020·0kg·hm-2,其中L层在各群落中所占比例分别为47·2%、59·6%、51·3%、61·0%、85·4%及86·3%,平均为61·7%。森林地被物中各养分元素的含量在群落和组分之间存在明显差异,但总的趋势表现为Ca>N>Mg>K>P。最后,通过对年凋落量和林地凋落物积累量的比较分析,上述6个群落的凋落物周转时间预测值依次为0·76、1·42、0·97、1·17、0·84及1·52年,其中枯枝的周转时间明显大于枯叶,且马尾松的枯叶和枯枝的周转时间普遍大于阔叶树。