...
首页> 外文期刊>Open Journal of Forestry >Characteristics and Growing Stocks Volume of Forest Stand in Dry Temperate Forest of Chilas Gilgit-Baltistan
【24h】

Characteristics and Growing Stocks Volume of Forest Stand in Dry Temperate Forest of Chilas Gilgit-Baltistan

机译:Chilas Gilgit-Baltistan的温带森林中林分的特征和蓄积量

获取原文
           

摘要

Chilas forest sub division in Diamer district, of Gilgit-Baltistan is located at northern regions of Pakistan. We estimated tree density, diameter, height and volume of the dominant tree species in four blocks (Thore, Chilas, Thak Niat and Gunar) of Chilas forest sub division. The tree density of deodar was maximum with average 26 tree·ha-1 and minimum was of Chalgoza 4 trees·ha-1. The maximum average height showed by the dominant species (Fir, Kail, Deodar, and Chilgoza) of the study area to be 20.40, 16.06, 12.24 and 12.12 m respectively. Moreover the average maximum volume attained by the Kail, Fir, Deodar and Chalgoza trees was 1.92, 1.57, 0.46 and 0.291 m3·tree-1 respectively. Regression analysis was carried out to determine the relationship between diameter (cm), height (m), tree density (trees·ha-1) and volume (m3·ha-1). The findings of the study will help the future scientific management of the forest for sustained yield. The study also provides information about the unexplored growing stock and structure of the forests. Additionally, this study will help to understand the patterns of tree species composition and diversity in the northern part of Pakistan with dry temperate climate.
机译:吉尔吉特-巴尔的斯坦Diamer地区的Chilas森林子分区位于巴基斯坦北部地区。我们估算了Chilas森林分区的四个区块(Thore,Chilas,Thak Niat和Gunar)中优势树种的密度,直径,高度和体积。杜鹃的树密度最大,平均为26棵树·ha-1,最小为查尔戈萨4棵树·ha-1。研究区域的优势种(冷杉,凯尔,迪奥达尔和奇尔戈萨)显示出的最大平均高度分别为20.40、16.06、12.24和12.12 m。此外,凯尔树,冷杉树,迪奥达尔树和查尔戈萨树的平均最大体积分别为1.92、1.57、0.46和0.291 m3·tree-1。进行回归分析以确定直径(cm),高度(m),树密度(trees·ha-1)和体积(m3·ha-1)之间的关系。该研究的结果将有助于未来森林的科学管理以实现持续增产。该研究还提供了有关未开发的森林蓄积量和结构的信息。此外,这项研究将有助于了解巴基斯坦北部气候干燥的树木种类组成和多样性的模式。

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