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Effects of water and nitrogen addition on vegetation carbon pools in a semi-arid temperate steppe

机译:水和氮的添加对半干旱温带草原植被碳库的影响

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摘要

Global change will lead to increases in regional precipitation and nitrogen (N) deposition in the semi-arid grasslands of northern China. We investigated the respon-ses of vegetation carbon (C) pools to simulated precipita-tion and N deposition increases through field experiments in a typical steppe in Inner Mongolia. The treatments included NH4NO3 addition at concentrations of 0 (CK), 5 (LN, low nitrogen), 10 (middle nitrogen, MN), and 20 (HN, high nitrogen) (g m-2 a-1) with and without water. After three consecutive years of treatment, from 2010 to 2012, water addition did not significantly change the size of the total vegetation C pools, but it significantly decreased the ratio of root:shoot (R:S) (P=0.05) relative to controls. By contrast, N addition significantly increased the total vege-tation C pools. The C pools in the LN, MN and HN treatments increased by 22, 39 and 44%, respectively. MN produced the largest effect among the N concentrations, although differences between N-added treatments were not significant (P [ 0.05). N addition significantly reduced the ratio of root:shoot (R:S) (P=0.03). However, there were no significant interactive effects of water and N addition on the vegetation C pools.
机译:全球变化将导致中国北方半干旱草原的区域降水和氮(N)沉积增加。通过内蒙古典型草原的田间试验,我们调查了植被碳(C)库对模拟降水和氮沉降增加的响应。处理包括在有水和无水的情况下以0(CK),5(LN,低氮),10(中氮,MN)和20(HN,高氮)(g m-2 a-1)的浓度添加NH4NO3。 。经过连续三年的处理,从2010年到2012年,加水并没有显着改变总植被C池的大小,但相对于对照,它显着降低了根:梢(R:S)的比率(P = 0.05) 。相比之下,氮的添加显着增加了总的蔬菜C库。 LN,MN和HN处理的碳库分别增加22%,39%和44%。尽管添加氮的处理之间的差异不显着,但MN在N浓度中产生的影响最大(P [0.05)。氮的添加显着降低了根:茎比(R∶S)(P = 0.03)。但是,水和氮的添加对植被碳库没有显着的交互作用。

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  • 来源
    《林业研究(英文版)》 |2016年第3期|621-629|共9页
  • 作者单位

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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