...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Aquatic Sciences >Can algal photosynthetic inorganic carbon isotope fractionation be predicted in lakes using existing models?
【24h】

Can algal photosynthetic inorganic carbon isotope fractionation be predicted in lakes using existing models?

机译：是否可以使用现有模型预测湖泊中的藻类光合无机碳同位素分馏？

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Differential fractionation of inorganic carbon stable isotopes during photosynthesis is an important cause of variability in algal carbon isotope signatures. Several physiological models have been proposed to explain algal photosynthetic fractionation factors (ε_p). These models generally consider CO_2 concentration, growth rate, or cell morphometry and have been supported by empirical evidence from laboratory cultures. Here, we explore the applicability of these models to a broad range of lakes with mixed phytoplankton communities. Understanding this fractionation is necessary for using carbon stable isotopes for studies ranging from food webs to paleolimnology. In our largest comparative study, values of δ~(13)C-POC ranged from -35.1 per thousand to -21.3 per thousand. Using several methods to obtain an algal isotopic signature, we found high variability in fractionation among lakes. There was no relationship between ε_p and one of the most important predictors in existing models, pCO_2. A whole-lake inorganic ~(13)C addition was used to create distinct algal isotope signatures to aid in examining ε_p. Measurements and a statistical model from the isotope addition revealed that algal fractionation was often low (0 - 15 per thousand).
机译：无机碳稳定同位素在光合作用中的差异分馏是藻类碳同位素特征变化的重要原因。已经提出了几种生理模型来解释藻类光合作用的分离因子（ε_p）。这些模型通常考虑CO_2浓度，生长速率或细胞形态，并得到了实验室培养的经验证据的支持。在这里，我们探讨了这些模型对具有多种浮游植物群落的湖泊的适用性。为了从食物网到古脂族学研究使用碳稳定同位素，必须了解这种分离方法。在我们最大的比较研究中，δ〜（13）C-POC的值介于-35.1 /千至-21.3 /千。使用多种方法获得藻类同位素特征，我们发现湖泊之间的分离具有高度的可变性。 ε_p与现有模型中最重要的预测因子之一pCO_2之间没有关系。使用全湖无机〜（13）C添加来创建独特的藻类同位素特征，以帮助检查ε_p。来自同位素的测量和统计模型表明，藻类的分离度通常很低（每千分之0-15）。

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