Fengcai He , Shikui Dong , Chunhui Ma , Xinghai Hao , Hao Shen , Juejie Yang , Jiannan Xiao , Yu Li , Ran Zhang , Hang Shi , Ziying Wang , Yuhao Zhang , Hui Zuo
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引用次数: 0
Abstract
Grazing can affect soil nutrient pools in a top-down process primarily through foraging, trampling and excreting of livestock. However, how grazing affects the relative contribution of plant biomass allocation to soil stoichiometry and nutrient storage in alpine grassland remains unclear. In this study, a 3-year serial grazing trail was conducted under 2 grazing regimes (continuous grazing and rotational grazing) and 3 grazing intensities (light grazing, medium grazing and heavy grazing) in an alpine steppe on Qinghai-Tibetan Plateau (QTP) to examine the effects of plant biomass allocation on soil stoichiometry and soil nutrient stock. The results showed that grazing decreased the aboveground biomass, whereas increased the belowground biomass and R:S. Grazing increased SOC stock and soil TP stock but did not affect the TN stock. Meanwhile, grazing caused an increasing in C: N and N: P. The shifts in belowground biomass and R: S regulates the changes of C: N: P stoichiometry. The plant functional composition regulated the changes of SOC stock, TN stock and TP stock. The relative contribution of R: S ratio to SOC stock and TN stock were increased with grazing intensities. We concluded that moderately rotational grazing is beneficial to better plant resource allocation and to regulate the soil nutrient stock in the alpine grassland ecosystem. These findings are crucial to identify the feasible grazing practices for the QTP’s alpine grasslands.
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.