土壤学
非生物成分
生物地球化学循环
生态学
硝化作用
生态系统
氮气循环
生物
营养循环
营养物
植物凋落物
自行车
微生物种群生物学
矿化(土壤科学)
土壤微生物学
农学
土壤pH值
相对物种丰度
土壤肥力
初级生产
土壤生态学
生物成分
环境科学
土壤有机质
生物地球化学
土壤水分
微观世界
森林生态学
微生物生态学
垃圾箱
非生物胁迫
植物群落
磷酸盐
植物
磷
丰度(生态学)
生态系统生态学
营养水平
作者
Corinne R. Vietorisz,Nahuel Policelli,Abigail Li,L. C. Adams,Kathryn F. Atherton,Jennifer M. Bhatnagar
出处
期刊:Ecosphere
[Wiley]
日期:2025-11-01
卷期号:16 (11)
被引量:5
摘要
Abstract Microbes play central roles in soil nutrient cycling; yet, a limited range of microbial community characteristics have been used to explain ecosystem nutrient cycling rates, and their importance relative to plant and abiotic factors remains unclear. In this study, we assessed which of 126 commonly measured soil fungal and bacterial community characteristics best explained net soil ammonium, nitrate, and phosphate mineralization rates in temperate forests in the Northeastern United States, as well as the relative contributions of microbial, plant, and abiotic factors. Using boosted regression tree modeling, we identified the microbial variables with the highest contributions to models explaining nutrient cycling rates: the relative abundances of ectomycorrhizal fungi and nitrogen (N)‐decomposition genes from oligotrophic bacteria were the most important for net ammonification, the relative abundances of indicator taxa in bacterial networks, nitrifying bacteria, and copiotrophic bacteria were the most important for net nitrification, and the relative abundance of fungal phosphorus (P)‐cycling oxidoreductase genes was the most important for net soil phosphate change. Microbial variables explained more variation than plant and abiotic variables in multivariate linear models of net nitrification and net phosphate release rates, but not net ammonification rates, which were largely explained by soil edaphic factors. Leaf litter traits were also important in explaining variation in net nitrification rates, and soil temperature was important in explaining rates of net phosphate release in soil. Collectively, our findings suggest that the N‐cycling capacity of microbial functional guilds and P‐cycling capacity of fungi should be incorporated into ecosystem biogeochemical models to improve our predictions and understanding of nutrient cycling and related ecological processes.
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