Yuye Shen , Yunying Fang , Yvonne Oelmann , Tony Vancov , Huai Chen , Ziyin Du , Scott X. Chang , Yanjiang Cai
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引用次数: 0
Abstract
Livestock grazing significantly influence the carbon (C), nitrogen (N), and phosphorus (P) dynamics within grassland ecosystems. However, a limited understanding of the specific impacts of individual grazing behaviors—such as trampling, defoliation, and excretion—on the flexibility of C:N:P stoichiometry in soil systems still exists. To clarify this, we conducted field experiments to simulate various yak (Bos grunniens) grazing behaviors, including light and heavy trampling, light and heavy defoliation, and dung and urine deposition. These experiments aimed to assess their effects on the C:N:P stoichiometry of soil-microbe-enzyme in an alpine grassland. Our findings revealed that trampling significantly increased the microbial N:P and C:P ratios, compared to the control. Defoliation significantly raised microbial N:P and enzymatic C:P ratios, while excretion resulted in higher microbial C:N and enzymatic N:P ratios. Specifically, light defoliation led to significantly higher microbial C:N and C:P ratios than heavy defoliation. The imbalance in microbial C:N ratio intensified with greater defoliation intensity. Compared to trampling and defoliation, livestock excretion, especially dung deposition, potentially alleviated microbial C and P limitations by increasing the resource availability of soil microbial growth. Furthermore, microbial C:N:P stoichiometry responded more sensitively to grazing behaviors than soil C:N:P stoichiometry. Overall, our study distinguishes the independent effects of different yak grazing behaviors (trampling, defoliation, and excretion) on the C:N:P stoichiometry of soil-microbe-enzyme in an alpine grassland, and underscores the crucial role of soil microorganisms in moderating changes in C, N, and P cycling under livestock grazing.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.