首页> 外文期刊>Forestry >Structure of old-growth and managed stands and growth of old trees in a Mediterranean Pinus nigra forest in southern Spain
【24h】

Structure of old-growth and managed stands and growth of old trees in a Mediterranean Pinus nigra forest in southern Spain

机译:西班牙南部地中海黑松森林中的老树和林分结构以及老树生长

获取原文
获取原文并翻译 | 示例
           

摘要

The structural attributes of an old-growth forest remnant of Pinus nigra subsp. salzmannii located in southern Spain and those from nearby managed forests were compared. Data on environmental and structural variables were collected in 74 forest inventory plots. Significant differences were tested by means of the Mann-Whitney U-test. A partial redundancy analysis was conducted to assess the relative contribution of both environmental and management variables in explaining differences in the current structure of old-growth and managed stands. Additionally, 25 trees of different size (range 25.4-98 cm) and age (67-803 years) were cored and dendrochronological methods and bootstrap linear regression were used to study the effects of size and age on tree growth. The old-growth stand exhibited a higher density of large trees (diameter at breast height >50 cm) and greater variability in tree size than managed stands, but lower tree density and, consequently, similar values of stand basal area and volume. Environmental variables accounted for 5.7 per cent of the total variance observed in structural attributes, while the contrasting silvicultural condition (old-growth vs managed) accounted for 10.2 per cent. Growth, measured in units of stand basal area, increased continuously with tree size.
机译:黑松亚种老林残留的结构特征。比较了西班牙南部的萨尔兹曼(Salzmannii)和附近管理森林中的萨尔兹曼。在74个森林调查区收集了有关环境和结构变量的数据。通过Mann-Whitney U检验检验了显着差异。进行了部分冗余分析,以评估环境变量和管理变量的相对贡献,以解释老龄林和人工林当前结构的差异。此外,对25棵不同大小(范围25.4-98厘米)和年龄(67-803年)的树木进行了核心处理,并使用树轮年代学方法和自举线性回归研究了大小和年龄对树木生长的影响。与管理林分相比,旧林分林显示出较大的树木密度(胸高> 50 cm时的直径)更大,树木大小的变异性更大,但树木密度较低,因此林分的基础面积和体积值相似。环境变量占结构属性总差异的5.7%,相反的造林条件(老龄与管理)占10.2%。以林分基础面积为单位衡量的生长随树的大小不断增加。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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