首页> 外文期刊>Agriculture, Forestry and Fisheries >Predicting growth and yield models for Eucalyptus species in Aek Nauli, North Sumatera, Indonesia
【24h】

Predicting growth and yield models for Eucalyptus species in Aek Nauli, North Sumatera, Indonesia

机译:印度尼西亚北苏门答腊Aek Nauli的桉树物种生长和产量模型的预测

获取原文
       

摘要

This study was conducted primarily to develop a yield prediction model for Eucalyptus spp plantations in Aek Nauli, North Sumatera, Indonesia as a contribution to sustain development and management of forest plantations. Data for growth and yield model were collected from the inventory and permanent sample plots (PSPs). The data in this study used 650 rhombic plots consisting of 106 PSPs and 544 inventory plots with several variations of plot size. Stands' features referred to diameter, height, merchantable volume, age, species, spacing, site index, basal area, and density of Eucalyptus species. Models using initial age, specifically, model 2 was found consistently to be the best model in most Eucalyptus plantations. Among the models using initial and projection age, model 4 was the better one. Model 2 using original ages looks better than model 4 because of it is being more reliable and its sigmoid growth curve. Nonetheless, significant differences were noticed between different models for predicting the merchantable volume of Eucalyptus spp. Plantations. Growth and yield models can be used to identify the best growing species of Eucalyptus spp. E. hybrid is recommended for plantation in this study area because it had the highest of merchantable volume.
机译:进行这项研究的主要目的是为印度尼西亚北苏门答腊岛Aek Nauli的桉树人工林开发一个产量预测模型,为维持森林人工林的发展和管理做出贡献。从库存和永久性样地(PSP)中收集了用于增长和产量模型的数据。本研究中的数据使用了由106个PSP和544个库存样组成的650个菱形样地,样地大小有几种变化。展位的特征是指直径,高度,可买卖量,年龄,种类,间距,站点指数,基础面积和桉树种类的密度。在大多数桉树人工林中,使用初始年龄的模型(特别是模型2)始终被认为是最佳模型。在使用初始年龄和预测年龄的模型中,模型4是更好的模型。使用原始年龄的模型2比模型4看起来更好,因为它更可靠且其S形增长曲线。但是,在预测桉树可交易量的不同模型之间发现了显着差异。人工林。生长和产量模型可用于确定桉树的最佳生长物种。在此研究区域,建议将E. hybrid种植,因为它具有最高的可交易量。

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