首页> 外文期刊>Agroforestry Systems >Populus nigra L. × P. maximowiczii Henry) and black locust ( Robinia pseudoacacia L.) in a temperate agroforestry system]]>
【24h】

Populus nigra L. × P. maximowiczii Henry) and black locust ( Robinia pseudoacacia L.) in a temperate agroforestry system]]>

机译:<![CDATA [杂交杨树年叶片碳收益的光合特性和模拟(<重点型=“斜体”> Populus nigra L.×<重点类型=“斜体”> P.MaxImowzii 亨利)和黑色蝗虫(<重点型=“斜体”> Robinia pseudoacacia L.)在一个温带植物系统中]]]>

获取原文
获取原文并翻译 | 示例
       

摘要

A leaf net photosynthesis model is presented driven by light and modulated by temperature and air humidity. From this the seasonal variation of CO~(2)uptake and release could be modelled to estimate the annual carbon fluxes of sun and shade leaves. In fully expanded leaves light is the major factor determining daily carbon balances, and highest observed daily carbon gains in sun leaves amounted to 748.9?mmol CO~(2)m_(?2)day_(?1)in poplar and to 536.3?mmol CO~(2)m_(?2)day_(?1)in black locust, while the annual carbon gains amounted to 46,824?mol CO~(2)m_(?2)in black locust and 66,803?mol CO~(2)m_(?2)in hybrid poplar. Results obtained via gas exchange measurements and from the leaf model clearly indicate a potentially better growth performance of the poplar compared to black locust on the investigated site. The presented photosynthesis model provides a good and realistic estimation for seasonal carbon balances on the leaf level for both species.
机译:叶网光合作用模型由光线驱动并通过温度和空气湿度调节。 从这种情况来看,CO〜(2)的季节性变化可以模拟,以估计太阳和阴影叶的年度碳通量。 在完全扩张的叶子中,光线是确定每日碳余额的主要因素,并且在杨树中的阳光叶中的每日每日碳收益量为748.9毫升,杨树和536.3克?mmol CO〜(2)M _(?2)日_(α1)在黑色蝗虫中,而黑色蝗虫的年度碳增益为46,824摩尔CO〜(2)M _(α2),66,803摩尔CO〜(2 )在混合杨树中的m _(?2)。 通过气体交换测量和来自叶模型获得的结果清楚地表明与调查部位的黑色蝗虫相比杨树的潜在更好的增长性能。 所呈现的光合作型模型为两种物种的叶片水平上的季节碳均衡提供了良好的和现实估计。

著录项

相似文献

  • 外文文献
  • 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