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Topographic Factors and Tree Heights of Aged Cryptomeria japonica Plantations in the Boso Peninsula, Japan

机译:日本波索半岛粳稻粳稻粳稻的地形因素和树高

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This study aimed to clarify the environmental factors limiting the height of aged Cryptomeria japonica trees. The study was conducted on C. japonica plantations of about 100 years old at the Boso Peninsula, Japan, where the climatic conditions are almost uniform. Twenty-eight plots measuring 10 × 10 m were established on ridges, and 40 plots were established on the middle or lower sections of slopes. The stand ages ranged from 93 to 115 years old. The height of the tallest tree and soil depth (SD) were measured in each plot, and the wetness index (WI) and openness (OP) of each plot were calculated using a digital elevation model. The tree height at the 100-year age (H 100 ) was estimated. The H 100 ranged from 16.2 to 44.9 m and was significantly correlated with the logWI (r = 0.78) and OP (r = ?0.70). SD and H 100 were significantly correlated in the plots on the ridges but not in the plots on the middle or lower sections of slopes. It indicated that soil water retention capacity might limit tree height in the relatively dry soil conditions. The coefficient of determination adjusted by the number of parameters for H 100 predicted using multiple regression analysis with environmental factors of logWI, logWI and OP, or logWI, OP and SD were 0.60, 0.69, and 0.73, respectively. The inclusion of OP and SD in the model improved the prediction of H 100 , suggesting that the wind and rooting depth could be the influencing factors in determining the height of aged trees. The findings of this study could be used in the planning and management of forestry plantations of long rotation system.
机译:本研究旨在阐明限制粳稻老年人的高度的环境因素。该研究在日本博世半岛约100岁的C.粳稻种植园进行,气候条件几乎是均匀的。在脊上建立10×10米的二十八块图,在斜坡的中间或下部建立了40个地块。展台年龄在93到115岁之间。在每个图中测量最高树和土壤深度(SD)的高度,并且使用数字高度模型计算每种曲线的湿度指数(Wi)和开放度(Op)。估计了100年(H 100)的树高。 H 100的范围为16.2至44.9μm,与LOGWI(r = 0.78)和OP(r = 0.70)显着相关。 SD和H 100在脊上的图中显着相关,但不在中间或下部的斜坡上的图中相关。它表明土壤水保留能力可能会限制相对干燥的土壤条件下的树高。通过使用MoverWi,LogWi和OP的环境因素预测的H 100的参数的数量调整的测定系数分别为0.60,0.69和0.73分别使用多元回归分析进行预测的。在模型中包含OP和SD改善了H 100的预测,表明风和生根深度可能是确定老化树的高度的影响因素。本研究的调查结果可用于长旋转系统的林业种植园的规划和管理。

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