Du Jianan, Ma Weiwei, Li Guang, Wu Jianghua, Chang Wenhua
College of Forestry, Gansu Agricultural University, Lanzhou, 730070, China.
College of Forestry, Gansu Agricultural University, Lanzhou, 730070, China.
J Environ Manage. 2025 Jan;373:123668. doi: 10.1016/j.jenvman.2024.123668. Epub 2024 Dec 16.
The soil nitrogen (N) cycle in the alpine wetland of the Qinghai-Tibet Plateau (QTP) has been strongly affected by vegetation degradation caused by climate change and human activities, subsequently impacting ecosystem functions. However, previous studies have rarely addressed how varying degrees of vegetation degradation affect soil net nitrogen mineralization rates and their temporal dynamics in these sensitive ecosystems. Therefore, we conducted a three-year field-based soil core in situ incubation mineralization experiment on the northeastern margin of the Tibetan Plateau from 2019 to 2021 to assess the variations in soil net ammonification, nitrification, and mineralization rates during the growing season (June to October). The main aim was to determine the dynamic effects of different degrees of vegetation degradation (non-degraded, lightly degraded, moderately degraded, and severely degraded) on soil net nitrogen transformation processes, as well as the impact of seasonal fluctuations in soil temperature and moisture on net nitrogen mineralization. Results indicated that vegetation degradation significantly reduced the net ammonification rate by 22.09%-97.10%, significantly increased the net nitrification rate by 45.38%, and significantly decreased the net mineralization rate by 9.49%-16.25%. Redundancy analysis (RDA) and random forest models revealed the supportive role of soil water content in the soil nitrogen transformation processes, particularly in promoting nitrification, while soil temperature was identified as a positive regulator of N cycling enzyme activity, indirectly affecting net nitrogen mineralization rates.
青藏高原高寒湿地的土壤氮循环受到气候变化和人类活动导致的植被退化的强烈影响,进而影响生态系统功能。然而,以往的研究很少涉及不同程度的植被退化如何影响这些敏感生态系统中的土壤净氮矿化率及其时间动态。因此,我们于2019年至2021年在青藏高原东北边缘进行了为期三年的基于野外土壤芯原位培养矿化实验,以评估生长季节(6月至10月)土壤净氨化、硝化和矿化率的变化。主要目的是确定不同程度的植被退化(未退化、轻度退化、中度退化和重度退化)对土壤净氮转化过程的动态影响,以及土壤温度和水分的季节性波动对净氮矿化的影响。结果表明,植被退化显著降低了净氨化率22.09%-97.10%,显著提高了净硝化率45.38%,显著降低了净矿化率9.49%-16.25%。冗余分析(RDA)和随机森林模型揭示了土壤含水量在土壤氮转化过程中的支持作用,特别是在促进硝化作用方面,而土壤温度被确定为氮循环酶活性的正调节因子,间接影响净氮矿化率。