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首页> 外文期刊>Croatian Journal of Forest Engineering >Impact of Stand, Site and Structural Characteristics on Stand Regeneration Planning in Pedunculate Oak Forests
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Impact of Stand, Site and Structural Characteristics on Stand Regeneration Planning in Pedunculate Oak Forests

机译:林分,立地和结构特征对有花梗栎林林分更新计划的影响

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Starting from the fact that stand structure is significantly disturbed and from the assumption that all stands of pedunculate oak at forest level older than 100 years are potentially considered for stand regeneration, it is obvious that forest planning and management have to define their priorities on the basis of which individual, potentially mature and mature stands, will be regenerated. The general objective of this paper is to research the structure and mutual impacts of stand, site and economic factors on the elements of stand structure in a greater area of pedunculate oak forests consisting of old or potentially mature pedunculate oak stands with a disturbed structure. Based on obtained structural relations, the goal was to determine by modeling the easily obtainable elements of the variable (model), which will represent the objective criterion for stand ranking according to the regeneration priority and structural and economic requirements.The subject of the research are pedunculate oak forests in the Central Posavina region, where 37 stands, with stocking of less than 0.8, were randomly selected and divided into 3 age groups (101–120 years, 121–135 years, >135 years) in 16 management units.On a total of 146 established plots of 25 m radius, estimates and measurements were carried out of variables at the level of individual model trees (6 trees of the main species – upper storey layer – nearest to the plot centre) and of stand and site variables (2 breast-height diameters, crown diameter, tree height, base height of the crown and height of the widest part of the crown, varietal trunk structure, crown defoliation, increment core, breast-height diameter of all trees higher than 1.3 m, seedlings, potential intermediate cutting, died trees, diameters of stump of cut trees, shrub layer, microrelief, canopy, health status, litter, understorey vegetation). The estimated and measured data were processed and appropriate variables for data analysis derived. The complex potential revenue (rent) difference was defined for stand regeneration (Equation 3) as a dependent variable and objective criterion for stand ranking according to regeneration priority. By means of partial linear analyses, multivariate analysis and modeling (generalized linear modeling), mutual and complex impacts of stand, site and economic factors on elements of stand structure and potential revenue (rent) difference were investigated. Statistical analyses were performed by application of the SAS software package, whereas descriptive statistics, correlation analyses, integration of functions and development of graphical presentations were carried out by means of the STATISTICA 8.2 software package.The research included different management, stand and structural characteristics (Table 1) and determined a statistically significant mutual impact of individual variables of stand, site and economic factors on certain elements of stand structure and potential revenue (rent) difference (Table 2). Multivariate analysis revealed models of complex impacts of stand, site and economic factors on standing volume of pedunculate oak and revenue (rent) difference (Table 3). According to the obtained data, all three models are statistically significant for the estimated standing volume of pedunculate oak and also for the estimated revenue (rent) difference. The stand factors in total account for 35% variability of standing volume of pedunculate oak and for 22% variability of revenue (rent) difference. The site factors account for 39% variability of standing volume of pedunculate oak and for 34% variability of revenue (rent) difference, whereas economic factors account for even 45% variability of standing volume of pedunculate oak and for 43% variability of revenue (rent) difference. The results of the Tukey post hoc (HSD) test for statistically significant variables of multivariate analysis of the revenue (rent) difference and the standing volume of pedunculate oak (Table 4) indi
机译:从林分结构受到严重干扰的事实开始,并假设有可能考虑对100年以上森林级别的所有有花梗橡木林分进行林分更新,很明显,森林规划和管理必须在此基础上确定其优先级其中的个体(可能成熟和成熟的林分)将​​被再生。本文的总体目的是研究更大面积的有花梗橡木林的林分结构,地点和经济因素对林分结构元素的相互影响,这些花梗林由具有陈旧或潜在成熟的有花序栎林组成,结构受干扰。基于获得的结构关系,目标是通过对易于获得的变量(模型)进行建模来确定,这些变量将根据再生优先级以及结构和经济要求来代表林分排名的客观标准。在Posavina中部地区有蒂的带花序的橡树林中,随机选择了37个林分,放养量少于0.8头,并按16个管理单位分为3个年龄组(101-120岁,121-135岁,> 135岁)。总共146个半径为25 m的已建立地块,对各个模型树(主要树种的6棵树–上层–距样地中心最近)的变量以及林分和场地变量进行了估计和测量(2胸高直径,冠径,树高,冠基高和冠最宽部分的高度,品种躯干结构,冠脱垂,增量芯,胸高直径所有大于1.3 m的树木,幼苗,潜在的中间伐木,死树,伐木树桩的直径,灌木层,微浮雕,树冠,健康状况,凋落物,下层植被)。处理估计和测量的数据,并导出用于数据分析的适当变量。展位再生(方程式3)定义了复杂的潜在收益(租金)差异,作为根据再生优先级进行展位排名的因变量和客观标准。通过部分线性分析,多元分析和建模(广义线性建模),研究了林分,场地和经济因素对林分结构要素和潜在收益(租金)差异的相互影响和复杂影响。使用SAS软件包进行统计分析,而描述数据,相关性分析,功能集成和图形表示开发则通过STATISTICA 8.2软件包进行。研究包括不同的管理,林分和结构特征(表1)确定了林分,场地和经济因素的各个变量对林分结构的某些要素和潜在收入(租金)差异的统计显着的相互影响(表2)。多变量分析显示了林分,产地和经济因素对带花梗橡木的立木量和收益(租金)差异的复杂影响的模型(表3)。根据获得的数据,这三种模型对于带花梗橡木的估计站立体积和估计的收入(租金)差异在统计上都是有意义的。总体上,林分因子占带花梗橡木的立木量变化的35%和收入(租金)差异的变化22%。立地因素占花梗橡木立木量的39%变化,而收入(租金)差异变化34%,而经济因素占花梗橡木立木量的45%变化,收益(租金)变化43%。 ) 区别。 Tukey post hoc(HSD)检验的结果为收入(租金)差异和带花梗橡木的站立体积的多元分析的统计显着变量(表4)

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