Title Climate and vegetation together control the vertical distribution of soil carbon, nitrogen and phosphorus in shrublands in China
Authors Guo, Yanpei
Jiang, Minwei
Liu, Qing
Xie, Zongqiang
Tang, Zhiyao
Affiliation Peking Univ, Inst Ecol, Key Lab Earth Surface Proc, Beijing 100871, Peoples R China
Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
Chinese Acad Sci, Chengdu Inst Biol, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu 610041, Peoples R China
Chinese Acad Sci, Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China
Keywords ORGANIC-CARBON
GLOBAL PATTERNS
NUTRIENTS
STORAGE
LITTER
POOLS
RESPIRATION
ECOSYSTEMS
GRASSLAND
Issue Date Sep-2020
Publisher PLANT AND SOIL
Abstract Aims Carbon (C), nitrogen (N) and phosphorus (P) in soil are characterized by decreasing patterns with soil depth. However, these patterns and their driving factors have rarely been investigated in shrublands. Methods We conducted extensive sampling of the top 100 cm of soil in 1120 shrublands across China to measure the soil organic C (SOC), total N (STN) and total P (STP) concentrations and densities. Results We found that in shrublands, the geometric means (and geometric standard errors) of SOC, STN and STP concentrations were 5.62 (0.09), 0.66 (0.07), and 0.31 (0.07) mg g(-1), respectively, and those of their densities were 5.46 (0.08), 0.67 (0.08), and 0.30 (0.08) kg m(-3), respectively. The decrease along soil depth for nutrients could be parameterized by a power function. The rates of decrease with depth differed between shrubland types and were negatively correlated with temperature but positively correlated with biomass. Climatic factors tended to have a relatively stronger effect than vegetation factors on the vertical distribution patterns of soil nutrients. Conclusions Our findings reveal nutrient limitations in shrublands in terms of the total pools, suggest the necessity of soil protection for vegetation conservation and restoration, and provide an important supplement for the accurate prediction of terrestrial element cycles.
URI http://hdl.handle.net/20.500.11897/607574
ISSN 0032-079X
DOI 10.1007/s11104-020-04688-w
Indexed SCI(E)
Appears in Collections: 地表过程分析与模拟教育部重点实验室
城市与环境学院

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