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应用生态学报 ›› 2023, Vol. 34 ›› Issue (1): 18-24.doi: 10.13287/j.1001-9332.202301.002

• 研究论文 • 上一篇    下一篇

不同林龄杉木人工林土壤硝化和反硝化作用

王梦娟, 黄志群, 张冰冰, 施秀珍*   

  1. 福建师范大学地理科学学院, 湿润亚热带山地生态国家重点实验室培育基地, 福州 350007
  • 收稿日期:2022-08-22 修回日期:2022-10-09 出版日期:2023-01-15 发布日期:2023-06-15
  • 通讯作者: *E-mail: xiuzhenshi@fjnu.edu.cn
  • 作者简介:王梦娟, 女, 1995年生, 硕士。主要从事森林生态学研究。E-mail: 2251558541@qq.com
  • 基金资助:
    国家自然科学基金项目 (31930077,41907022,32071631)资助。

Soil nitrification and denitrification in Cunninghamia lanceolata plantations with different stand ages

WANG Meng-juan, HUANG Zhi-qun, ZHANG Bing-bing, SHI Xiu-zhen*   

  1. Breeding Base of State Key Laboratory of Humid Subtropical Mountain Ecology, School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
  • Received:2022-08-22 Revised:2022-10-09 Online:2023-01-15 Published:2023-06-15

摘要: 对不同林龄杉木人工林(5、8、21、27和40年生)土壤硝化与反硝化过程及功能微生物丰度进行研究。结果表明: 土壤净硝化速率随林龄的增加波动变化,8、27年生杉木人工林土壤净硝化速率显著低于5、21和40年生。27年生杉木人工林土壤氨氧化古菌(AOA) amoA基因丰度显著低于40年生,其他林龄AOA amoA基因丰度之间无显著差异。不同林龄杉木人工林的氨氧化细菌(AOB) amoA基因丰度、反硝化功能基因丰度以及反硝化潜势均无显著差异。逐步回归分析表明,土壤氨氧化微生物AOA amoA基因丰度受土壤理化性质的影响不显著,土壤总碳和土壤pH是影响AOB丰度的重要因子。反硝化功能基因narGnirKnosZ随土壤pH的增加而增加,编码亚硝酸盐还原酶(NIR)的功能基因(nirKnirS)受土壤总碳的影响。林龄可通过影响AOA amoA基因丰度影响土壤净硝化速率。林龄直接作用于反硝化潜势,或间接影响土壤微生物生物量碳、土壤pH及反硝化功能基因丰度(narGnirK),进而影响反硝化潜势。相较于反硝化过程,土壤硝化作用及AOA amoA基因丰度对杉木林分发育更加敏感,可适当延长轮伐期以降低土壤硝化作用造成的氮流失风险。

关键词: 土壤硝化速率, 土壤反硝化潜势, 氨氧化微生物, 反硝化细菌

Abstract: The variations in soil nitrification and denitrification processes, together with the abundances of functional microbes were investigated in Cunninghamia lanceolata plantations with different stand ages of 5, 8, 21, 27, and 40 years old. The results showed that the net nitrification rate fluctuated with increasing forest ages, with that of 8-year- and 27-year-old C. lanceolata plantations being significantly lower than other stand ages. The abundance of ammonia-oxidizing archaea (AOA) amoA in the 27-year-old plantation was significantly lower than that of the 40-year-old plantation, while there was no significant difference among the other stand ages. There was no significant difference in the abundance of AOB amoA gene, denitrifying functional genes or soil denitrification potential among different stand ages. The results of stepwise regression analysis showed that the abundance of AOA amoA gene was not significantly affected by soil physical and chemical properties. In addition, the abundance of AOB was positively associated with soil total carbon content and soil pH. The abundance of denitrifying functional genes including narG, nirK and nosZ increased with increasing soil pH. The abundance of nirK and nirS was influenced by soil total carbon. Stand age influenced soil net nitrification rate through the AOA amoA abundance. Moreover, soil denitrification potential was directly affected by stand age, or indirectly affected by stand age through soil microbial biomass carbon, soil pH and denitrifying gene abundance of narG and nirK. Compared with the denitrification process, soil nitrification and associated AOA amoA gene abundance were more sensitive to the development of C. lanceolata plantations. The rotation period sould be appropriately extended to reduce the risk of nitrogen losses resulting from soil nitrification.

Key words: soil nitrification rate, soil denitrification potential, ammonia-oxidizing microbe, denitrifying bacteria.