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应用生态学报 ›› 2018, Vol. 29 ›› Issue (10): 3167-3174.doi: 10.13287/j.1001-9332.201810.005

• 研究论文 • 上一篇    下一篇

外源氮输入和水分变化对荒漠草原凋落物分解的影响

高海燕1, 红梅1,2*, 霍利霞1, 叶贺1, 赵巴音那木拉1,2, 德海山1   

  1. 1内蒙古农业大学草原与资源环境学院, 呼和浩特 010010;
    2内蒙古自治区土壤质量与养分资源重点实验室, 呼和浩特 010010
  • 收稿日期:2018-01-29 出版日期:2018-10-20 发布日期:2018-10-20
  • 通讯作者: E-mail: nmczhm1970@126.com
  • 作者简介:高海燕, 女, 1993年生, 硕士研究生. 主要从事草原土壤利用与保护研究. E-mail: 980384137@qq.com
  • 基金资助:
    本文由国家自然科学基金项目(31560156)资助

Effects of exogenous nitrogen input and water change on litter decomposition in a desert grassland

GAO Hai-yan1, HONG Mei1,2*, HUO Li-xia1, YE He1, ZHAO Ba-yingnamula1,2, DE Hai-shan1   

  1. 1College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot 010010, China;
    2Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resources, Huhhot 010010, China
  • Received:2018-01-29 Online:2018-10-20 Published:2018-10-20
  • Supported by:
    This work was supported by the Natural Science Foundation of China (31560156).

摘要: 全球气候变化背景下,大气氮沉降和降水变化日益显著,其对荒漠草原凋落物分解的影响存在很大的不确定性.采用裂区设计,设置主区为自然降雨、增雨30%和减雨30% 3个水分处理,副区为0(N0)、30(N30)、50(N50)和100 kg·hm-2·a-1(N100)4个氮素水平,经过21个月(2016年1月—2017年10月)水氮处理,研究水氮共同作用对荒漠草原常见物种猪毛菜、短花针茅和木地肤3种植物凋落物分解的影响.结果表明: 3种凋落物干物质残留率随时间增加而减少,用Olson负指数衰减模型拟合效果较好,凋落物分解系数(k)大小为猪毛菜>短花针茅>木地肤.增雨30%N100处理分解系数最高,为0.028.单因素处理下,增雨30%和N50的凋落物分解最快.水氮共同作用下,增雨 30%N100处理凋落物分解最快.3种凋落物初始化学全氮含量大小为猪毛菜>短花针茅>木地肤,猪毛菜和短花针茅k值与全氮含量呈显著正相关;全碳含量、纤维素含量、木质素含量、C/N、木质素/N和纤维素/N大小为木地肤>短花针茅>猪毛菜,猪毛菜k值与各指标均呈显著负相关,短花针茅和木地肤k值与C/N、木质素/N和纤维素/N均呈显著负相关.猪毛菜分解最快,木地肤分解最慢.适量的水、氮添加有利于荒漠草原凋落物的分解,可以促进土壤养分循环,对荒漠草原可持续发展及生态平衡有积极作用.

Abstract: Under the background of global climate change, atmospheric nitrogen deposition and precipitation are undergoing substantial changes, which leads to an uncertainty on litter decomposition in desert grassland. The experiment was set up with a split-plot design. There were three precipi-tation treatments, including natural precipitation, an increase of 30% and a decrease of 30%, and four levels of nitrogen application, including 0 (N0), 30 (N30), 50 (N50) and 100 kg·hm-2·a-1 (N100). A two-year decomposition experiment aimed to examine how water and nitrogen manipulations interactively influence litter decomposition of three dominant species in the desert grassland, i.e., Salsola collina, Stipa breviflora and Kochia prostrata. The results showed that litter mass remaining rate decreased with time, which was consistent with Olson negative exponential decay model. Litter decomposition coefficient (k) was highest for S. collina, followed by S. breviflora and K. prostrata. The decomposition coefficient (k=0.028) was the highest under the treatment of increased precipitation 30% and N application level of 100 kg·hm-2·a-1. Under single factor treatment, litter decomposition was the fastest under increased precipitation 30% and N application level of 50 kg·hm-2·a-1. Under the combined water and nitrogen treatments, litter decomposition under increased precipitation 30% and N application level of 100 kg·hm-2·a-1 was the fastest. The initial nitrogen content was the greatest for S. collina, followed by S. breviflora and K. prostrata. The decomposition coefficients were positively correlated with initial nitrogen contents for S. collina and S. breviflora. The total carbon content, cellulose content, lignin content, C/N, lignin/N and cellulose/N were higher in K. prostrata than in S. breviflora and S. collina. The litter characteristics were negatively correlated with decomposition coefficient for S. collina. For S. breviflora and K. prostrata, the decomposition coefficients decreased with increasing C/N, lignin/N and cellulose/N. The results indicated that the decomposition rate was the highest in S. collina, and the lowest in K. prostrata. The findings suggest that appropriate amounts of added water and nitrogen will contribute to accelerating litter decomposition, promoting nutrient cycling, and will play an important role in the sustainability and ecological balance of the desert grassland .