Affiliation:
1. College of Resources and Environment Northeast Agricultural University Harbin China
2. Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Harbin China
3. University of Chinese Academy of Sciences Beijing China
4. Institute of Soil and Water Conservation Heilongjiang Province Hydraulic Research Institute Harbin China
5. College of Resources and Environment Jilin Agricultural University Jilin China
Abstract
AbstractUnderstanding the spatial distribution of soil organic carbon (SOC) and soil nutrients is crucial for optimizing land management in watersheds. This study explored the spatial distribution of SOC, total nitrogen (TN) and total phosphorus (TP) in topsoil (0–20 cm) at a hilly small watershed site in Northeast China, and identified the controlling factors. The Gaussian mixture model optimally described SOC and TN with the ratio of nugget to sill variance (C0/[C + C0]) indicating moderate spatial dependence for SOC (63.7%) and TN (59.3%). TP was best modelled by the spherical model and demonstrated weak spatial autocorrelation and strong human influence, with a nugget to sill variance of 0.841. Land use significantly affected SOC, TN and TP contents, with the highest values recorded in woodland, followed by farmland and shrubland. Soil properties including bulk density (BD), gravel content (GC), moisture content (MC), soil porosity (SP) and the mean weight diameter (MWD) of water‐stable aggregates significantly correlated with SOC and TN content, but not with TP. Redundancy analysis revealed that soil properties (BD, GC and SP), topography (slope and aspect) and gully erosion contributed 55.7%, 24.7% and 4.3% of the spatial variation in SOC, TN and TP, respectively. Hence, these are the dominant factors shaping the spatial variation of SOC and soil nutrients at the site. These results can aid the further development of optimized land management strategies.
Funder
National Natural Science Foundation of China
Subject
Pollution,Soil Science,Agronomy and Crop Science
Cited by
2 articles.
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