Effects of micro-topography on soil organic carbon and total nitrogen in mixed spruce-fir-broadleaf forest

Zhao Han; Wang Haiyan; Luo Peng; Du Xue; Zou Jiahe; Fu Liyong; Lei Xiangdong

doi:10.12171/j.1000-1522.20210237

Journal of Beijing Forestry University > 2022 > 44(8): 88-97. > DOI: 10.12171/j.1000-1522.20210237

Zhao Han, Wang Haiyan, Luo Peng, Du Xue, Zou Jiahe, Fu Liyong, Lei Xiangdong. Effects of micro-topography on soil organic carbon and total nitrogen in mixed spruce-fir-broadleaf forest[J]. Journal of Beijing Forestry University, 2022, 44(8): 88-97. DOI: 10.12171/j.1000-1522.20210237

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Effects of micro-topography on soil organic carbon and total nitrogen in mixed spruce-fir-broadleaf forest

1.
School of Forestry, Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China
2.
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

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Received Date: June 21, 2021
Revised Date: August 13, 2021
Available Online: July 26, 2022
Published Date: August 24, 2022

Graphical Abstract

Abstract

Abstract

Objective Soil organic carbon (SOC) and total nitrogen (TN) are important indicators for soil quality assessment, which are closely related to global carbon and nitrogen cycle and climate change. Topography, especially micro-topography, is a key factor driving the spatial heterogeneity of soil characteristics. This paper aims to explore the effects of micro-topography on SOC and TN, and provide a basis for unmanned aerial vehicle (UAV) data application and soil nutrient management of natural forests in Northeast China.
Method Micro-topography factors of 400 10 m × 10 m sample plots were extracted from UAV Lidar data in 4 1-ha stands of mixed spruce-fir-broadleaf forest using sample center method and buffer zone method. Correlation analysis and redundancy analysis were carried out to study the effects of micro-topography on SOC and TN.
Result In the whole study area, SOC and TN at depth of 20−40 cm were significantly positively correlated with the elevation (r = 0.26, 0.25, P < 0.01), soil TN was significantly positively correlated with the slope at depth of 0−20 cm (r = 0.18, P < 0.01), and the other correlations were not significant. The results of correlation analysis were different among varied sample plots. There was a negative correlation between SOC and the elevation in sample plot Ⅰ (0−20 cm: r = −0.37, P < 0.01; 20−40 cm: r = −0.21, P < 0.05), a negative correlation between SOC at depth of 20−40 cm and the elevation in sample plot Ⅲ and Ⅳ (r = −0.20, −0.21, P < 0.05), and a positive correlation between SOC at depth of 0−20 cm and the aspect in sample plot Ⅲ (r = 0.26, P < 0.05). Soil TN at 20−40 cm of sample plot Ⅰ was negatively correlated with elevation (r = −0.34, P < 0.01), and negatively correlated with the plane curvature of secondary terrain factor (r = −0.24, P < 0.05). In the redundancy analysis, the interpretation rate of RDA1 constraint axis reached 88.05%, and the angle between elevation and SOC at depth of 20−40 cm was small indicative of a positive correlation. The elevation and aspect had significant effects on SOC and TN.
Conclusion The sample center method is superior to buffer zone method due to the selection of more terrain factors and higher R² of the regression model. In the mixed spruce-fir-broadleaf forest, the elevation, slope and aspect of micro-topography have certain effects on SOC and TN in the surface horizon. Correlation analysis results vary as for the whole study area and individual sample plots, indicating a strong soil spatial heterogeneity. The correlations of SOC and TN with primary terrain factors are generally stronger than the secondary terrain factor.
- micro-topography,
- soil organic carbon,
- soil total nitrogen,
- UAV

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Effects of micro-topography on soil organic carbon and total nitrogen in mixed spruce-fir-broadleaf forest