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荒漠植物红砂叶片δ13C值与生理指标的关系
引用本文:马剑英,陈发虎,夏敦胜,孙惠玲,段争虎,王刚.荒漠植物红砂叶片δ13C值与生理指标的关系[J].应用生态学报,2008,19(5):1166-1171.
作者姓名:马剑英  陈发虎  夏敦胜  孙惠玲  段争虎  王刚
作者单位:1. 中国科学院寒区旱区环境与工程研究所敦煌戈壁荒漠生态与环境研究站,兰州,730000;兰州大学西部环境教育部重点实验室,兰州,730000;兰州大学生命科学学院,兰州,730000
2. 兰州大学西部环境教育部重点实验室,兰州,730000
3. 中国科学院寒区旱区环境与工程研究所敦煌戈壁荒漠生态与环境研究站,兰州,730000
4. 兰州大学生命科学学院,兰州,730000
基金项目:国家自然科学基金 , 国家科技支撑计划
摘    要:红砂是我国西北干旱区荒漠植被的主要优势种,对荒漠生态系统的稳定性具有重要作用.通过测定我国境内红砂主要分布区21个自然种群407个植株叶片稳定碳同位素(δ13C)值、叶片氮磷钾含量、叶片含水量、脯氨酸和叶绿素含量等生理指标,分析了不同自然种群红砂叶片δ13C值与相关生理指标之间的关系.结果表明:红砂叶片钾含量、叶片含水量和脯氨酸含量均对δ13C值有显著影响(P<0.001),其中叶片钾含量的影响最大(r=0.793),叶片含水量次之(r=-0.786).说明叶片的δ13C值可以反映植物的水分亏缺程度;不同种群间植物δ13C的丰度差异能从另一个侧面反映植物营养元素含量的变化状况;在干旱条件下,红砂叶片气孔导度的变化是影响其δ13C值随环境变化的主要原因.

关 键 词:稳定碳同位素值  生理指标  气孔导度  红砂  荒漠植物  红砂  叶片δ  生理指标  关系  leaf  Correlations  plant  desert  环境变化  气孔导度  干旱条件  变化状况  元素含量  植物营养  差异  不同种群  程度  水分亏缺  影响
文章编号:1001-9332(2008)05-1166-06
收稿时间:2007-09-07
修稿时间:2007年9月7日

Correlations between leaf δ13C and physiological parameters of desert plant Reaumuria soongorica
MA Jian-ying,CHEN Fa-hu,XIA Dun-sheng,SUN Hui-ling,DUAN Zheng-hu,WANG Gang.Correlations between leaf δ13C and physiological parameters of desert plant Reaumuria soongorica[J].Chinese Journal of Applied Ecology,2008,19(5):1166-1171.
Authors:MA Jian-ying  CHEN Fa-hu  XIA Dun-sheng  SUN Hui-ling  DUAN Zheng-hu  WANG Gang
Institution:Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China. jyma@lzb.ac.cn
Abstract:Reaumuria soongorica is a dominant species in the desert shrubbery vegetation in arid regions of northwestern China, playing an important role in the maintenance of the stability and continuity of desert ecosystem. In this paper, a total of 407 individuals in 21 natural populations of R. soongorica were selected from its main distribution areas to measure the leaf stable carbon isotope composition (delta13C) and nitrogen, phosphorus, potassium, water, proline and chlorophyll contents, with the correlations between the delta13C value and the test physiological parameters analyzed. The results showed that leaf delta13C value was significantly correlated with the contents of leaf potassium, water, and proline (P <0.001), and the correlation with leaf potassium content was most profound (r = 0.793), followed by that with leaf water content (r = -0.786), indicating that the variation of leaf delta13C value could reflect the nutritional status of the plants, and also, their water-deficient degree. The different distribution trends in leaf delta13C value of R. soongorica were likely caused by stomatal conductance, rather than by nutrient-related changes in photosynthetic efficiency under extremely low available water conditions.
Keywords:
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