题名CO2浓度升高对三个树种资源分配模式的影响
作者张海森
答辩日期2008-06-02
文献子类博士
授予单位中国科学院沈阳应用生态研究所
授予地点沈阳应用生态研究所
关键词Co2浓度升高 资源 分配 Cbsscs Gdbe模型 Pcm模型
其他题名Effects of elevated CO2 concentrations on resources allocation pattern of three tree species
英文摘要 Climate change caused by elevated carbon dioxide concentration has become the key field in global change research. And elevated carbon dioxide concentration will affect the plant physiological course significantly. Research on plant self-resources allocation pattern of Pinus koraiensis, Pinus sylvestriformis and Quercus mongolica was made based on field and long-term treatment to elevated CO2 concentration in open top chambers. The primary objective of this study was to document the seasonal trends of leaf carbon-based secondary and structural compounds (CBSSCs) concentrations and plant carbon-defense balance in different tissues. The research could provide some scientific reference information to forecast trees acclimation at elevated atmospheric CO2 concentration in the future. The main results were summarized as follows:  1) TNCs (Total nonconstructural carbohydrates)concentration in conifer needles increased at the early days of the growing season, and then decreased during growing season. It increased a little at the end of the growing season and kept an unnotable change during the whole dormant season. Plant leaf lipids and structural compounds changed slightly throughout a year.  2) CBSSCs in plant leaves differeddistinctly among species, its concentration fluctuated intensively in growing season and changed slightly in dormant season. 3) Three tree species didn’t show a significant and durative response to elevated carbon dioxide, that is to say, phenolics and other CBSSCs concentration in plant leaves would not increase if we evaluated the carbon dioxide effects by 12 month averages.  4) Carbon dioxide enrichment had no effects on total N of whole plant, however, the nitrogen concentrations in leaves and stems of Pinus koraiensis decreased because of the growth acceleration.  5) Long-term CO2 enrichment accelerated growth and net photosynthetic rate, and it increased the carbon partition to phenolics at the same time. This kind of carbon-defense pattern induced by elevated carbon dioxide concentration accorded better with the prediction results of the extended growth-differentiation balance model (GDBe).;   由大气CO2浓度升高导致的气候变化是全球变化的重要研究内容之一。大气 CO2浓度升高会对植物的生理活动产生深刻的影响。本论文以开顶箱(Open top chamber)法控制 CO2浓度,在长期野外实地模拟基础上,研究三个树种资源分配模式的变化,揭示了长白山地区三个主要树种—红松(Pinus koraiensis)、长白松(Pinus sylvestriformis)和蒙古栎(Quercus mongolica)叶含碳结构物质和次生代谢物(CBSSCs)含量的变化动态及植物各器官内碳-防卫物质分配模式对CO2浓度升高的响应,这对预测未来CO2浓度升高条件下树木的适应性提供了科学依据。研究结果如下: 1)红松和长白松针叶总非结构性碳水化合物含量在生长季呈现先升高后降低的变化趋势,生长季末期稍有升高,休眠季含量较稳定。脂肪和结构性物质如半纤维素、纤维素和木质素含量在生长季和休眠季中含量比较稳定。 2)CBSSCs在植物叶中的含量存在显著的种间差异性,CBSSCs含量在生长季变化较大,休眠季变化很小。 3)从三个树种叶CBSSCs浓度的年平均值来看,植物对高浓度CO2没有持续和明显的反应,叶内不会出现较高浓度的酚类物质和其它CBSSCs物质。 4)高浓度CO2对植株氮总量没有影响,但由于生长导致的稀释效应使得红松叶、茎全氮浓度显著降低。 5)长期高浓度CO2处理使得红松生长和光合能力都有提高,碳向酚类物质和结构物质的分配提高。由高浓度CO2诱导的植物的这种碳向防卫物质的分配格局符合生长分化平衡模型(GDBe)的预测结果。
语种中文
公开日期2010-12-15
页码127
内容类型学位论文
源URL[http://210.72.129.5/handle/321005/2613]  
专题沈阳应用生态研究所_沈阳应用生态研究所
推荐引用方式
GB/T 7714
张海森. CO2浓度升高对三个树种资源分配模式的影响[D]. 沈阳应用生态研究所. 中国科学院沈阳应用生态研究所. 2008.
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