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Predicting establishment of tree seedlings for evaluating methods of regeneration for Pinus sylvestris

机译:预测树苗的建立以评估樟子松的更新方法

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This study predicts the establishment of regeneration in 3-, 4- and 5-year-old regeneration areas planted, direct seeded and naturally regenerated, respectively, for Scots pine (Pinus sylvestris L.) in southern Finland. Establishment of regeneration was described by the number of planted, seeded and natural tree seedlings, as well as by the height of pines and the dominant height of broadleaves. In planted stands, the number of natural crop-tree conifers was also predicted. For each regeneration method, establishment of regeneration was modelled by fitting a multilevel multivariate model to regeneration survey data. Temperature sum, altitude, site fertility, soil quality and method of site preparation were used as explanatory variables in the models. Stochastic simulations that accounted for the random between-stand variation in the regeneration result were conducted to evaluate the uncertainty and risk involved in different methods of regeneration for Scots pine. Counting both planted pines and supplementary natural crop-tree conifers, on relatively fertile growing site of Scots pine (Myrtillus type), planting was more effective than direct seeding and natural regeneration. On poorer sites (Vaccinium and Calluna types), in terms of the number of pine seedlings, direct seeding proved to be the most effective method for establishing pine stands.
机译:这项研究预测在芬兰南部的苏格兰松(Pinus sylvestris L.)分别种植,直接播种和自然再生的3年,4年和5年再生区中将建立再生。通过植树,种子树和天然树苗的数量,以及松树的高度和阔叶树的优势高度来描述再生的建立。在种植的林分中,还可以预测天然农作物树针叶树的数量。对于每种再生方法,通过将多层多变量模型拟合到再生调查数据来对再生的建立进行建模。在模型中,温度总和,海拔,场地肥力,土壤质量和场地准备方法用作解释变量。进行了随机模拟,该模拟解释了再生结果中林分间的随机变化,以评估苏格兰松的不同再生方法所涉及的不确定性和风险。在苏格兰松树(Myrtillus型)相对肥沃的生长地点,对种植的松树和补充的天然农作物树针叶树进行计数,种植比直接播种和自然再生更有效。在较贫困的地区(牛痘和愈伤组织类型),就松树苗的数量而言,直接播种被证明是建立松树林最有效的方法。

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