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Spatial patterns of soil and ecosystem respiration regulated by biological and environmental variables along a precipitation gradient in semi-arid grasslands in China
Authors:Wenfang Xu  Xianglan Li  Wei Liu  Linghao Li  Longyu Hou  Huiqiu Shi  Jiangzhou Xia  Dan Liu  Haicheng Zhang  Yang Chen  Wenwen Cai  Yang Fu  Wenping Yuan
Affiliation:1.State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou,China;2.University of Chinese Academy of Sciences,Beijing,China;3.College of Global Change and Earth System Science,Beijing Normal University,Beijing,China;4.State Key Laboratory of Vegetation and Environmental Change, Institute of Botany,Chinese Academy of Sciences,Beijing,China;5.Department of Grassland Science,China Agricultural University,Beijing,China;6.State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing/Zhuhai,China
Abstract:Precipitation is a key environmental factor in determining ecosystem structure and function. Knowledge of how soil and ecosystem respiration responds to climate change (e.g., precipitation) and human activities (e.g., grazing or clipping) is crucial for assessing the impacts of climate change on terrestrial ecosystems and for improving model simulations and predictions of future global carbon (C) cycling in response to human activities. In this study, we examined the spatial patterns of soil and ecosystem respiration along a precipitation gradient from 167.7 to 398.1 mm in a semi-arid grassland. Our results showed that soil and ecosystem respiration increased linearly with increasing mean annual precipitation. The trends were similar to those of shoot biomass, litter and soil total C content along the precipitation gradient. Our results indicated that precipitation was the primary controlling factor in determining the spatial pattern of soil and ecosystem respiration in semi-arid grasslands in China. The linear/nonlinear relationships in this study describing the variations of the ecosystem carbon process with precipitation can be useful for model development, parameterization and validation at the regional scale to improve predictions of how carbon processes in grasslands respond to climate change, land use and grassland management.
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