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Transferring site information for black walnut from native woodlands in southeastern Kansas USA to identify sites for agroforestry practices

机译:从美国堪萨斯州东南部的本地林地转移黑胡桃的地点信息,以识别农林业的地点

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Black walnut (Juglans nigra) is an important tree species for temperate agroforestry in the United States for timber, nuts, wildlife, and abrasives. Predictions of forestland productivity are needed for proper species selection in tree planting. Potential productivity can be estimated for non-forested areas and agricultural croplands by relating site quality to site and soil characteristics. Our study measured the growth potential of black walnut in natural stands. We looked at over 210 stands on unglaciated soils in southeastern Kansas with the site index at 50 years ranging from 9.1 to 26.8 m. Numerous environmental factors were evaluated, including: site, soil chemical, and soil physical properties. These environmental factors were related to tree height at the standard age of 50 years. Simple correlation and multiple regression analyses were run with the site index using over 60 variables of soil and topographic characteristics. Understory competition had no effect on site index. Chemical characteristics had a slight effect on site index. We explained 73 % of the variation in site index with just two variables; depth to a restrictive layer (DRL) and soil type. DRL is a good predictor of walnut productivity.
机译:黑胡桃(Juglans nigra)是美国温带农林业的重要树种,用于木材,坚果,野生动植物和磨料。要在植树中正确选择树种,需要林地生产力的预测。通过将场地质量与场地和土壤特征相关联,可以估算非林区和农业耕地的潜在生产力。我们的研究测量了天然林中黑胡桃的生长潜力。我们查看了堪萨斯州东南部无冰川土壤上的超过210个林分,其站点指数在50年内介于9.1至26.8 m之间。评价了许多环境因素,包括:场地,土壤化学性质和土壤物理性质。这些环境因素与标准年龄50岁时的树高有关。使用60多个土壤和地形特征变量的站点指数进行简单相关和多元回归分析。林下竞争对场地指数没有影响。化学特性对位点指数影响很小。我们仅用两个变量就解释了网站索引变化的73%。深度到限制层(DRL)和土壤类型。 DRL是核桃产量的良好预测指标。

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