硝化作用
温带气候
初级生产
草原
中国
生产力
农学
环境科学
农业经济学
农林复合经营
氮气
生态学
生物
地理
化学
经济
生态系统
考古
有机化学
宏观经济学
作者
Jianqiang Yang,Huajie Diao,Guoliang Li,Rui Wang,Huili Jia,Changhui Wang
出处
期刊:Plants
[Multidisciplinary Digital Publishing Institute]
日期:2023-03-28
卷期号:12 (7): 1481-1481
被引量:4
标识
DOI:10.3390/plants12071481
摘要
Anthropogenic disturbance, such as nitrogen (N) fertilization and mowing, is constantly changing the function and structure of grassland ecosystems during past years and will continue to affect the sustainability of arid and semiarid grassland in the future. However, how and whether the different N addition levels and the frequency of N addition, as well as the occurrence of mowing, affect the key processes of N cycling is still unclear. We designed a field experiment with five levels of N addition (0, 2, 10, 20, and 50 g N m−2 yr−1), two types of N addition frequencies (twice a year added in June/November and monthly addition), and mowing treatment in a typical grassland of northern China. The results showed that higher N addition and mowing interactively improved net primary productivity (NPP), including aboveground and belowground biomass, while different N addition frequency had no significant effects on NPP. Different N addition levels significantly improved gross ammonification (GA) and nitrification (GN) rates, which positively correlated to aboveground net primary productivity (ANPP). However, the effect of N addition frequency was differentiated with N addition levels, the highest N addition level (50 g N m−2 yr−1) with lower frequency (twice a year) significantly increased GA and GN rates. Mowing significantly increased the GA rate but decreased the GN rate both under the highest N addition level (50 g N m−2 yr−1) and lower N addition frequency (twice a year), which could improve N turnover by stimulating plant and microbial activity. However, a long-term study of the effects of N enrichment and mowing on N turnover will be needed for understanding the mechanisms by which nutrient cycling occurs in typical grassland ecosystems under global change scenarios.
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