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草业学报 ›› 2019, Vol. 28 ›› Issue (7): 26-37.DOI: 10.11686/cyxb2018371

• 研究论文 • 上一篇    下一篇

青海省森林林下草本层化学计量特征及其碳储量

程瑞希1, 字洪标2, 罗雪萍2, 杨有芳2, 代迪1, 王艳丽1, 所尔阿芝1, 王长庭2, *   

  1. 1.西南民族大学生命科学与技术学院,四川 成都610041;
    2.西南民族大学青藏高原研究院,四川 成都610041
  • 收稿日期:2018-06-05 修回日期:2018-08-27 出版日期:2019-07-20 发布日期:2019-07-20
  • 通讯作者: wangct6@163.com/wangct@swun.edu.cn
  • 作者简介:程瑞希(1995-),女,四川成都人,在读硕士。E-mail: 15198047780@163.com
  • 基金资助:
    国家自然基金项目(31870407、31370542),中国科学院战略性先导科技专项“应对气候变化的碳收支认证及相关问题”(XDA05050207),中央高校基本科研业务费专项资金(2018NZD13),四川省教育厅创新团队项目(14TD0049)和西南民族大学研究生“创新型科研项目”重点项目(CX2018XZ65)资助

The elemental C∶N∶P stoichiometric characteristics and carbon storage of the herb layer under forest in Qinghai Province

CHENG Rui-xi1, ZI Hong-biao2, LUO Xue-ping2, YANG You-fang2, DAI Di1, WANG Yan-li1, SUOER Azhi1, WANG Chang-ting2, *   

  1. 1.College of Life Science and Technology, Southwest University for Nationalities, Chengdu 610041, China;
    2.College of Tibetan Plateau Research, Southwest University for Nationalities, Chengdu 610041, China
  • Received:2018-06-05 Revised:2018-08-27 Online:2019-07-20 Published:2019-07-20

摘要: 为阐明青海省森林生态系统林下草本层化学计量特征和碳密度分布格局,基于2011年青海森林资源野外样方调查和室内分析,评估了青海省7个优势种(白桦、白杨、红桦、青杄、山杨、圆柏、云杉)林下草本层的化学计量特征(C、N、P;C∶N、C∶P、N∶P)以及碳密度的差异。同时,估算了青海省7个优势种林下草本层碳储量大小。结果表明,草本层地上碳含量圆柏林[(419.9±1.44) g·kg-1]显著高于其他林型,但是地下碳含量[(364.6±8.33) g·kg-1]显著低于其他林型;氮含量均表现出圆柏和云杉林显著高于其他林型;磷含量在不同林型间差异不显著。圆柏林和云杉林林下草本层C∶N、C∶P显著低于其他林型,而N∶P显著高于其他林型。此外,林下草本层地上和地下生物量、碳密度均表现出圆柏林显著高于其他林型。根据青海省7种优势树种化学计量特征与碳密度的相关性分析,发现草本层碳密度与其化学计量特征有相关性,可以根据碳含量推算碳密度。将海拔作为环境因子考虑,发现圆柏和云杉林下草本层碳密度分布于较高海拔,其他树种则分布于较低海拔。因此,理解养分元素在草本层“地上-地下部分”之间的生态化学计量特征,以及估算草本层的碳储量,对于揭示青海省森林生态系统的养分状况和生物化学循环过程极为重要。

关键词: 草本层, 优势种, 化学计量特征, 生物量, 碳密度, 碳储量

Abstract: The aim of this study was to clarify the elemental C∶N∶P stoichiometric ratios and carbon density distribution patterns of the herb layer under forest in ecosystems in China’s Qinghai Province. Forest surveys and laboratory analyses of samples collected were carried out in 2011. Determinations included elemental concentrations of C, N, and P, together with their stoichometric ratios, C∶N, C∶P, and N∶P, and C reserves (g·kg-1) of the herb layers under seven dominant species (Betula platyphylla, Populus tomentosa, Betula albo-sinensis, Picea wilsonii, Populus davidiana, Sabina chinensis, Picea asperata). The results show: the aboveground carbon content [(419.9±1.44) g·kg-1] of S. chinensis forest was significantly higher than that of other forest types, but the underground carbon content [(364.6±8.33) g·kg-1] was significantly lower than that of other forest types; the nitrogen content of S. chinensis and P. asperata forests was significantly higher than that of other forest types. There was no significant difference in phosphorus content between different forest types. The C∶N and C∶P stoichiometric ratios of S. chinensis and P. asperata forests were significantly lower than other forest types, while the N∶P ratio was significantly higher than other forest types. In addition, the biomass and carbon density of S. chinensis forest underground herb layer, both aboveground and belowground were significantly higher than that of other forest types. Correlation analysis of the stoichiometric data for these seven dominant tree species in Qinghai Province showed that the carbon density of the herb layer was correlated with its stoichiometric characteristics, and the carbon density could be estimated based on the carbon content. Taking altitude as an environmental factor, it was found that the carbon density of the herb layer under S. chinensis and P. asperata forest was distributed at higher altitude, while other species were distributed at lower altitude. Therefore, understanding the ecological stoichiometric characteristics of nutrient elements for the above and below ground parts of the herb layer, as well as estimating the carbon reserves of the herb layer, is very important to understanding the nutrient status and biochemical cycling processes of forest ecosystems in Qinghai Province.

Key words: herb layer, dominant species, stoichiometric character, the biomass, the density of carbon, carbon reserve