首页> 外文期刊>Trees. Structure and Function >Estimation of stem and tree level biomass models for Prosopis juliflora/pallida applicable to multi-stemmed tree species.
【24h】

Estimation of stem and tree level biomass models for Prosopis juliflora/pallida applicable to multi-stemmed tree species.

机译:适于多茎树种的拟变种Prosopis juliflora / pallida的茎和树水平生物量模型的估算。

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The aim of this paper is to develop biomass models for commonly multi-stemmed Prosopis juliflora/pallida trees. The data were collected on three of the Cape Verde islands (Maio, Santiago and Santo Antao). The dataset covers 240 trees containing 1,882 stems with stem diameter at breast height over 2 cm; of that 255 individual tree stems were sampled destructively. These calibration data were used to construct stem and tree-level models for estimation of total aboveground biomass and its fine and course fractions with diameter threshold of 5 cm. A set of parameterized biomass models for multi-stemmed Prosopis spp. trees suited for biomass estimation at tree and stem levels using appropriate set of independent variables, commonly available in forest inventory programs, was created. The effect of site (island) on tree allometry was not detected. The two-phase construction of tree biomass models based on destructive sampling limited to individual stems combined with a routine field measurement of entire multi-stemmed tree specimen represents a practicable approach leading to biomass and carbon assessment that may be generally suited for tree species with complex multi-stemmed growth form similar to that of Prosopis spp.
机译:本文的目的是为常见的多茎Prosopis juliflora / pallida树开发生物量模型。数据收集于佛得角三个岛屿(毛伊岛,圣地亚哥和圣安托岛)。该数据集涵盖了240棵树木,其中包含1,882个茎,茎直径在胸高超过2 cm时;在255个单独的树茎中,有破坏性地进行了采样。这些校准数据用于构建茎和树级别的模型,以估计地上总生物量及其直径阈值为5 cm的精细和粗级分数。一组多茎Prosopis spp的参数化生物量模型。使用适合的自变量集(通常可在森林清查程序中获得)创建适合于树木和茎水平生物量估算的树木。未检测到站点(岛屿)对树木异形的影响。基于仅限于单个茎的破坏性采样的两阶段构建树木生物量模型,并结合对整个多茎树木标本的常规野外测量,代表了一种可行的方法,可进行生物量和碳评估,该方法通常适用于复杂树种多茎生长形式类似于Prosopis spp。

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