首页> 外文OA文献 >Predicting the productivity of a young hybrid poplar clone under intensive plantation management in northern Alberta, Canada using soil and site characteristics
【2h】

Predicting the productivity of a young hybrid poplar clone under intensive plantation management in northern Alberta, Canada using soil and site characteristics

机译:利用土壤和场地特征,预测加拿大阿尔伯塔省北部人工林集约化管理下年轻杂交杨树无性系的生产力

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Site productivity of the hybrid poplar clone Brooks6 was predicted using soil and site information from 6, 4-year-old plantations in north-east Alberta. Predictions were made at both the local and microsite scales. Percent sand (R 2 = 0.352, P = 0.001) was the best single predictor of hybrid poplar productivity, showing a curved relationship. Soil pH also showed a curved but weaker relationship with hybrid poplar productivity (R 2 = 0.133, P = 0.100). Maximum tree productivity occurred at sand contents between 55 and 70% and pH values near 6. Other variables, including foliar nutrient concentrations, foliar δ13C, electrical conductivity, depth of the A horizon and total chemistry of the soil, were also related to hybrid poplar productivity at the local and microsite scales. However, all of these variables were correlated to either soil texture (percent sand) or pH. At the microsite scale within plantations, percent sand was the most important predictor of tree productivity and explained more than 50% of the variability within plantations, although the relationship varied by plantation. In plantations with fine textures, sandier microsites were associated with increased growth while in sandy plantations, finer textured microsites were more productive. As a whole, the growth of the hybrid poplar clone Brooks6 appears to be mostly influenced by a combination of soil water and nutrient availability, the former being impacted by soil texture and the latter being governed by soil pH.
机译:杂种杨树无性系Brooks6的位点生产力是使用来自阿尔伯塔省东北部6个4岁树种人工林的土壤和位点信息预测的。在本地和微型站点规模上都做出了预测。沙百分比(R 2 = 0.352,P = 0.001)是杂交杨树生产力的最佳单一预测因子​​,呈曲线关系。土壤pH与杂种杨的生产力也显示出弯曲但较弱的关系(R 2 = 0.133,P = 0.100)。最高的树木生产力发生在含沙量在55%到70%之间且pH值接近6时。其他变量,包括叶面养分浓度,叶面δ13C,电导率,A层深度和土壤总化学成分,也与杂种杨相关本地和微型站点规模的生产力。但是,所有这些变量都与土壤质地(沙子百分比)或pH相关。在人工林内的微型站点尺度上,沙百分比是树木生产力的最重要预测指标,尽管人工林之间的关系有所不同,但其解释了人工林内变异的50%以上。在质地优良的人工林中,沙质微场所与生长增加有关,而在沙质人工林中,质地较细的微场所生产力更高。总体而言,杂种杨树无性系Brooks6的生长似乎主要受土壤水分和养分利用率的影响,前者受土壤质地的影响,后者受土壤pH值的控制。

著录项

相似文献

  • 外文文献
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号