Precipitation Determines the Spatial Variability of Vegetation and Topsoil Organic Carbon Densities of Alpine Grasslands in the Qinghai-Tibetan Plateau, China

作者：Fawei Zhang, Hongqin Li, Jingbin Zhu, Mengke Si, Bo Fan, Huakun Zhou, Yingnian Li · 发表于：Ecosystems · 年份：2025 · DOI：10.1007/s10021-024-00957-2 · 被引用次数：7 · 研究领域：Land Use and Ecosystem Services、Ecology and Vegetation Dynamics Studies、Soil Carbon and Nitrogen Dynamics

Alpine grassland soils accumulate massive stocks of organic carbon and function as important carbon sinks on the Qinghai-Tibetan Plateau. Substantial uncertainties prevent a full understanding of ecosystems’ carbon pools and their responses to environmental factors, mainly because of limited observations and inconsistent up-scaling algorithms. This study compiled data since 2000 for 422 alpine grassland sites in Qinghai Province, China, to investigate vegetation and organic carbon densities in the topsoil (at 0–30 cm depth) and their spatial variations. The site-averaged below-ground biomass carbon density (BOD) and topsoil organic carbon density (SOD) were both highest in alpine meadows with values of 0.43 ± 0.34 (Mean ± S.D.) and 12.52 ± 5.74 kg C/m 2 , respectively. They are about five times the lowest corresponding values of alpine desert steppes. The above-ground biomass carbon density (AOD) is not significantly different between alpine steppes and alpine desert steppes, and averaged 32.66 ± 22.02 g C/m 2 , around twice that for alpine meadows. Boosted regression tree models and a structural equation model consistently show that mean annual precipitation, rather than mean annual air temperature, was the predominant factor influencing the spatial variability of site-level AOD, BOD, and SOD across the alpine grasslands. The boosted regression tree models, integrated with spatial datasets of topographic attributes, mean annual air temperature and precipitation, and mean ann...