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首页> 外文期刊>Forest Ecology and Management >An approach for using general soil physical condition-root growth relationships to predict seedling growth response to site preparation tillage in loblolly pine plantations.
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An approach for using general soil physical condition-root growth relationships to predict seedling growth response to site preparation tillage in loblolly pine plantations.

机译:一种使用一般土壤物理状况-根系生长关系来预测火炬松人工林苗生长对定点耕作的响应的方法。

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摘要

Tree seedling root growth rate can be limited by any one of three soil physical factors: mechanical resistance, water potential or soil aeration. All three factors vary with soil water content and, under field conditions, root growth rate will depend on the soil water content as a result of its relationship to each factor. For a specific site, the relationship between soil water content and each factor can be developed from periodic measurement in the field or estimated from intact soil core samples. A STELLA model of first-year pine (Pinus taeda) seedling growth response to soil tillage was developed using previously established relationships between root growth and these growth-limiting factors. The model predicts reductions in root growth below optimal conditions from soil water content. Accumulated root length was then used to estimate aboveground size from an available allometric relationship. Model predictions were compared to results from a site preparation tillage study on an upland site for which soil water content had been measured bi-weekly. Treatments used for this comparison were: no tillage, bedded, subsoiled and bedded plus subsoiled. Seedling height predicted by the model differed from measured mean seedling height by -1 to +14% with absolute differences in height of 0.1 m or less. Predicted aboveground biomass was -12 to +41% of mean measured biomass. Our results suggest that this modelling approach is useful for integrating results from controlled greenhouse experiments with field results and may prove useful for predicting soil tillage response in young loblolly pine plantations..
机译:树木幼苗根系的生长速度可能受到以下三种土壤物理因素中的任何一种的限制:机械阻力,水势或土壤通气。这三个因素都随土壤含水量而变化,并且在田间条件下,根系生长速度取决于土壤含水量与每个因素之间的关系。对于特定地点,可以通过田间的定期测量来确定土壤含水量与每个因素之间的关系,也可以从完整的土壤岩心样本中进行估算。利用先前建立的根部生长与这些生长限制因子之间的关系,建立了第一年松树(Pinus taeda)幼苗对土壤耕作反应的STELLA模型。该模型预测在土壤水含量低于最佳条件下,根系生长会减少。然后使用累积的根长从可用的异速关系估算地上的大小。将模型预测结果与高地站点的整地耕作研究结果进行比较,该站点每两周测量一次土壤含水量。用于该比较的处理方法是:免耕,分层,深层和分层加深层。该模型预测的苗高与实测平均苗高相差-1至+ 14%,且绝对高差不超过0.1 m。预测的地上生物量为平均测得生物量的-12%至+ 41%。我们的结果表明,这种建模方法可用于将受控温室实验的结果与田间结果进行整合,并且可能被证明可用于预测年轻火炬松人工林的土壤耕作响应。

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