School of Environmental Law, Gansu University of Political Science and Law, Lanzhou, Gansu, China.
College of Biological and Geographical Sciences, Yili Normal University, Yining, Xinjiang, China.
PeerJ. 2022 May 3;10:e13311. doi: 10.7717/peerj.13311. eCollection 2022.
Soil nutrients are a vital reference index of soil fertility and are essential in studying spatial variability for the development of land resources. The traditional statistical methods including correlation analysis and geostatistical analysis, were used to explore the spatial variability of nutrients and its influencing factors in the Yili River Valley. The results showed that soil total potassium (STK) had a weak variation, soil organic carbon (SOC), soil total nitrogen (STN) and soil total phosphorus (STP) showed a moderate degree of variation. Correlation analysis showed that SOC had a significant correlation with STN, STP, STK, silt, soil water content (SWC), Cos a and altitude ( < 0.01). In contrast, negative correlations were found between the SOC and sand, soil bulk density (SBD) and pH ( < 0.01), the same as STN. STP had a significant correlation with STK, silt ( < 0.01) and Cos a ( < 0.05), whereas negative correlations were found between the STP, sand and SBD ( < 0.01). STK had a significant correlation with silt, whereas negative correlations were found between the STK, sand and SBD. Ordinary Kriging interpolation showed that the distribution of SOC and STN had a high value in the northeast, northwest and southeast, and a low value in the central and southwest. STP was high in the northwest and southeast and low in the northeast and southwest. STK was high in the northwest and northeast and low in the central and southeast regions. This is helpful for the rational exploitation of land resources in ecological economy development in the Yili River Basin.
土壤养分是土壤肥力的重要参考指标，对研究土地资源的空间变异性至关重要。本研究采用传统的统计方法（包括相关性分析和地统计学分析），探讨了伊犁河流域土壤养分及其影响因素的空间变异性。结果表明，土壤全钾（STK）具有较弱的变异性，土壤有机碳（SOC）、土壤全氮（STN）和土壤全磷（STP）具有中等程度的变异性。相关性分析表明，SOC 与 STN、STP、STK、粉粒、土壤含水量（SWC）、Cos a 和海拔高度呈显著相关（<0.01）。相比之下，SOC 与砂粒、土壤容重（SBD）和 pH 呈负相关（<0.01），与 STN 相似。STP 与 STK、粉粒（<0.01）和 Cos a（<0.05）呈显著相关，而与砂粒和 SBD 呈负相关（<0.01）。STK 与粉粒呈显著相关，而与砂粒和 SBD 呈负相关。普通克里金插值表明，SOC 和 STN 的分布在东北、西北和东南地区较高，而在中部和西南地区较低。STP 在西北部和东南部较高，在东北部和西南部较低。STK 在西北部和东北部较高，在中部和东南部较低。这有助于合理开发伊犁河流域生态经济发展中的土地资源。
