环境科学
氮气循环
土壤水分
生态系统
自行车
全球变暖
环境化学
农学
氮气
气候变化
亚北极气候
土壤碳
土壤有机质
生态学
生物地球化学
有机质
陆地生态系统
矿化(土壤科学)
营养循环
硝化作用
铵
碳循环
生长季节
农业生态系统
微生物
营养物
化学
生物地球化学循环
融雪
作者
Ana Leticia Zevenhuizen,Andreas Richter,Lucia Fuchslueger,Judith Prommer,Prof. Ivan A. Janssens,Niel Verbrigghe,Josep Penuelas,Bjarni D. Sigurdsson,Sara Marañón‐Jiménez
摘要
ABSTRACT High‐latitude soils are warming rapidly due to climate change, raising concerns about long‐term impacts on nitrogen (N) and carbon (C) cycling. Here, we investigate how decadal soil warming affects microbial N transformations in subarctic grasslands using natural geothermal gradients with soil temperatures ranging from ambient to +12.3°C. Seasonal measurements of N‐pools and gross N transformation rates—including the production and uptake of amino acids, ammonium, and nitrate—were used to characterize microbial responses across warming intensities and time. Warming enhanced microbial turnover of amino acids by accelerating both gross amino acid production and uptake, while net depolymerization remained unchanged. In contrast, ammonium production remained stable, but its microbial uptake increased significantly with temperature. These decoupled responses suggest a microbial shift toward preferential use of organic N sources under warming, likely driven by reduced soil C availability. This strategy provides a dual source of C and N, enabling microbes to sustain high metabolic activity while limiting additional N losses. Supporting this, total soil N stocks declined early in the warming period—by 0.11 tons of nitrogen per hectare per degree Celsius over 5 years—but remained stable thereafter, indicating a transition toward more conservative microbial N cycling. Together, these findings reveal that long‐term warming restructures microbial N use strategies, favoring tight organic N recycling and mineral N conservation. These physiological adjustments may buffer N losses under future warming and should be integrated into models predicting high‐latitude ecosystem responses to climate change.
科研通智能强力驱动
Strongly Powered by AbleSci AI