• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on green energy and environmental sustainable development >Biomass Estimation of Dendrocalamopsis vario-striata Plantation in Southeast China
【24h】

Biomass Estimation of Dendrocalamopsis vario-striata Plantation in Southeast China

机译：东南毛竹树人工林生物量估算

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Bamboo plantation is one of the fastest developing forest resources in Asia, Latin America and Africa countries. As one of the few sympodial bamboo which can be planted in subtropical areas, D. vario-striata can be good alternative for bamboo plantation development. With Eighteen 400m2 randomlyestablished plots in Zhejiang of China and a total of 67 sample bamboos, we established regression models of the biomass of each component for individual bamboo D. vario-striata at each age, and made an estimation to the biomass density and its allocation of the bamboo. The biomass of the culm, aboveground total and belowground total of bamboo D. variostriata at 1 year, 2 year and 3 year old can be estimated using its DBH with good precision and reliability in accordance to the regression models of linear, power and exponential, but the precision and reliability were poor of the regressions between the DBH and the biomass of branch and foliage, implying an unfeasibility to estimate the biomass of branch and foliage of bamboo D. vario-striata using DBH. The total biomass density of bamboo D. vario-striata plantation in southeast China was estimated to 61.14 t/ha, with the majority stored in culms. The proportion of biomass of branch and foliage was low.
机译：竹林是亚洲，拉丁美洲和非洲国家发展最快的森林资源之一。作为在亚热带地区可以种植的少数对生竹类之一，D。vario-striata可以作为发展竹林的好选择。以中国浙江省随机建立的18个400m2样地和总共67个竹子样本为基础，我们建立了各个年龄段的单个竹D. vario-striata各成分生物量的回归模型，并对生物量密度及其分配进行了估算。的竹子。根据线性，幂和指数的回归模型，利用其DBH可以准确，可靠地估算出1年，2年和3年的竹D. variostriata的茎，地上总和地下总生物量，但是DBH与枝叶生物量之间的回归精度和可靠性较差，这意味着用DBH估算竹D. vario-striata枝叶生物量的可行性不高。据估计，中国东南部的竹D. vario-striata人工林的总生物量密度为61.14 t / ha，其中大部分储存在茎秆中。枝叶生物量所占比例较低。

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