Yanzhong Yao, Bingbing Han, Bin Liu, Yini Wang, Xiaoxuan Su, Lihua Ma, Tong Zhang, Shuli Niu, Xinping Chen, Zhaolei Li
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引用次数: 3
Abstract
Soil anammox is an environmentally friendly way to eliminate reactive nitrogen (N) without generating nitrous oxide. Nevertheless, the current earth system models have not incorporated the anammox due to the lack of parameters in anammox rates on a global scale, limiting the accurate projection for N cycling. A global synthesis with 1212 observations from 89 peer-reviewed papers showed that the average anammox rate was 1.60 ± 0.17 nmol N g−1 h−1 in terrestrial ecosystems, with significant variations across different ecosystems. Wetlands exhibited the highest rate (2.17 ± 0.31 nmol N g−1 h−1), followed by croplands at 1.02 ± 0.09 nmol N g−1 h−1. The lowest anammox rates were observed in forests and grasslands. The anammox rates were positively correlated with the mean annual temperature, mean annual precipitation, soil moisture, organic carbon (C), total N, as well as nitrite and ammonium concentrations, but negatively with the soil C:N ratio. Structural equation models revealed that the geographical variations in anammox rates were primarily influenced by the N contents (such as nitrite and ammonium) and abundance of anammox bacteria, which collectively accounted for 42% of the observed variance. Furthermore, the abundance of anammox bacteria was well simulated by the mean annual precipitation, soil moisture, and ammonium concentrations, and 51% variance of the anammox bacteria was accounted for. The key controlling factors for soil anammox rates differed from ecosystem type, for example, organic C, total N, and ammonium contents in croplands, versus soil C:N ratio and nitrite concentrations in wetlands. The controlling factors in soil anammox rate identified by this study are useful to construct an accurate anammox module for N cycling in earth system models.
土壤厌氧氨氧化是一种不产生氧化亚氮而消除活性氮(N)的环保方法。然而,目前的地球系统模型由于缺乏全球范围内厌氧氨氧化速率的参数,限制了对氮循环的准确预测。对89篇同行评议论文1212个观测值的综合分析表明,陆地生态系统的厌氧氨氧化平均速率为1.60±0.17 nmol N g−1 h−1,不同生态系统之间存在显著差异。湿地最高,为2.17±0.31 nmol N g−1 h−1,农田次之,为1.02±0.09 nmol N g−1 h−1。厌氧氨氧化率最低的是森林和草地。厌氧氨氧化率与年平均气温、年平均降水、土壤水分、有机碳(C)、全氮、亚硝酸盐和铵态氮浓度呈正相关,与土壤C:N比呈负相关。结构方程模型表明,厌氧氨氧化率的地理差异主要受氮含量(如亚硝酸盐和铵)和厌氧氨氧化菌丰度的影响,它们共同占观测方差的42%。年平均降水量、土壤湿度和铵态氮浓度均能很好地模拟厌氧氨氧化菌的丰度,厌氧氨氧化菌的丰度变化可以解释51%的变异。不同生态系统类型土壤厌氧氨氧化速率的关键控制因子不同,如农田的有机C、全氮和铵含量,湿地的土壤C:N比和亚硝酸盐浓度。本研究确定的土壤厌氧氨氧化速率的控制因素有助于在土壤系统模型中构建准确的氮循环厌氧氨氧化模型。
期刊介绍:
Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health.
Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.