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生态学杂志 ›› 2011, Vol. 30 ›› Issue (10): 2227-2232.

• 研究报告 • 上一篇    下一篇

黄土丘陵沟壑区坡面上土壤微生物生物量碳、氮的季节变化

胡婵娟1,刘国华1**,陈利顶1,吴雅琼1,2   

  1. 1中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085;2北京市科学技术情报研究所,北京 100120
  • 出版日期:2011-10-08 发布日期:2011-10-08

Seasonal variations of soil microbial biomass carbon and nitrogen on the hill slope in hilly areas of Loess Plateau.

HU Chan-juan1, LIU Guo-hua1**, CHEN Li-ding1, WU Ya-qiong1,2   

  1. 1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;2Beijing Municipal Institute of Science and Technology Information, Beijing 100120, China
  • Online:2011-10-08 Published:2011-10-08

摘要: 对黄土丘陵沟壑区陕西延安羊圈沟小流域退耕后2种典型植被类型刺槐(Robinia pseudoacacia)林和撂荒草地夏、秋和春3个季节土壤微生物生物量及其主要影响因子(土壤有机碳、土壤温度和水分及空气温湿度)进行了研究,旨在揭示土壤微生物生物量的季节变化规律及其主控因子。结果表明,2种植被类型下,土壤微生物生物量均存在明显的季节变化趋势,刺槐林土壤微生物生物量碳夏季和春季高于秋季,而撂荒草地土壤微生物生物量碳在秋季最高,土壤微生物生物量氮与微生物生物量碳季节变化趋势不同,2种类型均表现为夏季>秋季>春季。土壤微生物生物量碳季节变化受有机碳、空气及土壤温度的变化影响较大,而土壤微生物生物量氮与土壤水分和空气湿度具有显著的相关性。

关键词: 冬小麦, 干物质, 累积分配, 模拟

Abstract: Taking two typical vegetation types after de-farming,i.e., Robinia pseudoacacia plantation and abandoned grassland, in the Yangjuangou catchment of Yan’an City, Shaanxi Province of Northwest China as test objects, this paper studied the seasonal variations of soil microbial biomass carbon and nitrogen and the key affecting factors, aimed to understand the seasonal variation pattern of soil microbial biomass and its main controlling factors on the hill slope in the hilly areas of Loess Plateau. Under the two vegetation types, soil microbial biomass all had an obvious seasonal variation trend. The soil microbial biomass carbon under R. pseudoacacia plantation was higher in summer and spring than in autumn, while that under abandoned grassland peaked in autumn. The soil microbial biomass nitrogen under the two vegetation types was the highest in summer, followed by in autumn, and in spring. The seasonal variation of soil microbial biomass carbon was more affected by soil organic carbon, soil temperature, and air temperature, whereas that of soil microbial biomass nitrogen had significant correlations with soil moisture and air humidity.

Key words: Winter wheat, Dry matter, Accumulation and distribution, Simulation