表土
土壤碳
环境科学
空间变异性
土壤科学
地质统计学
含水量
空间异质性
水文学(农业)
总有机碳
空间分布
堆积密度
土壤水分
地质学
环境化学
生态学
化学
数学
遥感
统计
岩土工程
生物
作者
Wang Li-xin,Zhuoxin Chen,Mingming Guo,Shaoliang Zhang,Xingyi Zhang,Pengchong Zhou,Jinzhong Xu,Xin Liu,Jiarui Qi,Wan Zhaokai
摘要
Abstract Understanding 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 ( C 0 /[ C + C 0 ]) 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.
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