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

Citation:

PDF (7130 KB)

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

More Information

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

FullText(HTML)

References (38)

References

[1]	朱兆良. 中国土壤氮素研究[J]. 土壤学报, 2008, 45(5): 778−783. doi: 10.3321/j.issn:0564-3929.2008.05.003 Zhu Z L. A study on soil nitrogen in China[J]. Acta Pedologica Sinica, 2008, 45(5): 778−783. doi: 10.3321/j.issn:0564-3929.2008.05.003
[2]	武天云, Jeff J S, 李凤民, 等. 土壤有机质概念和分组技术研究进展[J]. 应用生态学报, 2004, 15(4): 717−722. doi: 10.3321/j.issn:1001-9332.2004.04.036 Wu T Y, Jeff J S, Li F M, et al. Concepts and relative analytical techniques of soil organic matter[J]. Chinese Journal of Applied Ecology, 2004, 15(4): 717−722. doi: 10.3321/j.issn:1001-9332.2004.04.036
[3]	Lal R. Soil carbon sequestration impacts on global climate change and food security[J]. Science, 2004, 304: 1623−1627. doi: 10.1126/science.1097396
[4]	Yanni S F, Helgason B L, Janzen H H, et al. Warming effects on carbon dynamics and microbial communities in soils of diverse texture[J/OL]. Soil Biology and Biochemistry, 2020, 140[2021−06−10]. doi: 10.1016/j.soilbio.2019.107631.
[5]	王淑平. 土壤有机碳和氮的分布及其对气候变化的响应[D]. 北京: 中国科学院研究生院, 2003. Wang S P. Distribution of soil organic carbon and nitrogen and their responses to climate change[D]. Beijing: Graduate School of Chinese Academy of Sciences (Institute of Botany), 2003.
[6]	吴昊. 秦岭山地松栎混交林土壤养分空间变异及其与地形因子的关系[J]. 自然资源学报, 2015, 30(5): 858−869. doi: 10.11849/zrzyxb.2015.05.013 Wu H. Spatial variability of soil nutrients and its relationship with topographic factors in Pinus tabuliformis-Quercus aliena var. accuteserrata mixed forest in Qinling Mountains[J]. Journal of Natural Resources, 2015, 30(5): 858−869. doi: 10.11849/zrzyxb.2015.05.013
[7]	杨秀清, 史婵, 王旭刚, 等. 关帝山云杉次生林土壤的空间异质性及其与地形相关性[J]. 中国水土保持科学, 2017, 15(4): 16−24. Yang X Q, Shi C, Wang X G, et al. Spatial heterogeneity of soil in the secondary Picea forest of Guandi Mountain and its correlation with topography[J]. Science of Soil and Water Conservation, 2017, 15(4): 16−24.
[8]	范晓晖, 王德彩, 孙孝林, 等. 南宁市桉树人工林土壤有机碳密度与地形因子的关系[J]. 生态学报, 2016, 36(13): 4074−4080. Fan X H, Wang D C, Sun X L, et al. Relationships between soil organic carbon density of Eucalyptus plantations and terrain factors in Nanning[J]. Acta Ecologica Sinica, 2016, 36(13): 4074−4080.
[9]	刘潘伟, 高鹏, 刘晓华, 等. 大岗山流域土壤碳氮要素空间分布特征及影响因素[J]. 中国水土保持科学, 2018, 16(2): 73−79. Liu P W, Gao P, Liu X H, et al. Spatial distribution and influential factors of soil carbon and nitrogen in Dagangshan Watershed[J]. Science of Soil and Water Conservation, 2018, 16(2): 73−79.
[10]	Kokulan V, Akinremi O, Moulin A P, et al. Importance of terrain attributes in relation to the spatial distribution of soil properties at the micro scale, a case study[J]. Canadian Journal of Soil Science, 2018, 98(2): 292−305. doi: 10.1139/cjss-2017-0128
[11]	Wang M, Han Y Y, Xu Z W, et al. Hummock-hollow microtopography affects soil enzyme activity by creating environmental heterogeneity in the sedge-dominated peatlands of the Changbai Mountains, China[J/OL]. Ecological Indicators, 2021, 121[2021−06−10]. doi: 10.1016/j.ecolind.2020.107187.
[12]	赵维军. 陕北黄土区坡面微地形生境与林分结构关系研究[D]. 北京: 北京林业大学, 2014. Zhao W J. Relationship between microtopography habitat and forest stand structure on the Loess Plateau, northern Shaanxi Province [D]. Beijing: Beijing Forestry University, 2014.
[13]	濮阳雪华, 苟清平, 赵志杰, 等. 陕北黄土区不同降水量地点微地形土壤干燥化效应研究[J]. 四川农业大学学报, 2020, 38(6): 734−741. Puyang X H, Gou Q P, Zhao Z J, et al. Soil desiccation effects of micro-topographic in different precipitation locations in the loess region of northern Shaanxi Province[J]. Journal of Sichuan Agricultural University, 2020, 38(6): 734−741.
[14]	王晶, 朱清科, 秦伟, 等. 陕北黄土区封禁流域坡面微地形植被特征分异[J]. 应用生态学报, 2012, 23(3): 694−700. Wang J, Zhu Q K, Qin W, et al. Differentiation of vegetation characteristics on slope micro-topography of fenced watershed in loess area of north Shaanxi Province, Northwest China[J]. Chinese Journal of Applied Ecology, 2012, 23(3): 694−700.
[15]	Nagamatsu D, Miura O. Soil disturbance regime in relation to micro-scale landforms and its effects on vegetation structure in a hilly area in Japan[J]. Plant Ecology, 1997, 133(2): 191−200. doi: 10.1023/A:1009743932202
[16]	戚德辉, 温仲明, 王红霞, 等. 黄土丘陵区不同功能群植物碳氮磷生态化学计量特征及其对微地形的响应[J]. 生态学报, 2016, 36(20): 6420−6430. Qi D H, Wen Z M, Wang H X, et al. Stoichiometry traits of carbon, nitrogen, and phosphorus in plants of different functional groups and their responses to micro-topographical variations in the hilly and gully region of the Loess Plateau, China[J]. Acta ecologica Sinica, 2016, 36(20): 6420−6430.
[17]	王兴, 宋乃平, 杨新国, 等. 荒漠草原植物多样性分布格局对微地形尺度环境变化的响应[J]. 水土保持学报, 2016, 30(4): 274−280, 328. Wang X, Song N P, Yang X G, et al. The response of spatial pattern of plant diversity to environmental factors in the scale of micro-landform in desert steppe[J]. Journal of Soil and Water Conservation, 2016, 30(4): 274−280, 328.
[18]	杨士梭, 温仲明, 苗连朋, 等. 黄土丘陵区植物功能性状对微地形变化的响应[J]. 应用生态学报, 2014, 25(12): 3413−3419. Yang S S, Wen Z M, Miao L P, et al. Responses of plant functional traits to micro-topographical changes in hilly and gully region of the Loess Plateau, China[J]. Chinese Journal of Applied Ecology, 2014, 25(12): 3413−3419.
[19]	汝海丽, 张海东, 焦峰, 等. 黄土丘陵区微地形对草地植物群落结构组成和功能特征的影响[J]. 应用生态学报, 2016, 27(1): 25−32. Ru H L, Zhang H D, Jiao F, et al. Impact of micro-landform on grassland plant community structure and function in the hilly Loess Plateau region, China[J]. Chinese Journal of Applied Ecology, 2016, 27(1): 25−32.
[20]	杨鹏, 赵锦梅, 雷隆举, 等. 微地形对高寒草地土壤有机碳及氮含量的影响[J]. 水土保持通报, 2018, 38(3): 94−98. Yang P, Zhao J M, Lei L J, et al. Effect of micro-topography on soil organic carbon and nitrogen content in alpine grassland[J]. Bulletin of Soil and Water Conservation, 2018, 38(3): 94−98.
[21]	邓欧平, 周稀, 黄萍萍, 等. 川中紫色丘区土壤养分空间分异与地形因子相关性研究[J]. 资源科学, 2013, 35(12): 2434−2443. Deng O P, Zhou X, Huang P P, et al. Study on the correlation between spatial variation of soil nutrients and topographic factors in purple hilly area of central Sichuan[J]. Resources Science, 2013, 35(12): 2434−2443.
[22]	王子婷, 杨磊, 李广, 等. 半干旱黄土丘陵区微地形变化对人工柠条林草本分布的影响[J]. 草地学报, 2021, 29(2): 364−373. Wang Z T, Yang L, Li G, et al. Effect of micro topography variation on the distribution of herbaceous vegetation of Caragana korshinskii plantation in semi-arid loess hilly region[J]. Acta Agrestia Sinica, 2021, 29(2): 364−373.
[23]	邵帅, 刘焕军, 潘越, 等. 黑土区田块尺度微地形因子对土壤侵蚀与碱解氮的影响[J]. 土壤通报, 2019, 50(4): 854−860. Shao S, Liu H J, Pan Y, et al. Effect of micro-topography factors on soil erosion and alkali- hydrolyzable nitrogen in black soil area[J]. Chinese Journal of Soil Science, 2019, 50(4): 854−860.
[24]	柴子为, 康峻, 王力, 等. 基于无人机影像的山地人工林景观DEM构建[J]. 遥感技术应用, 2015, 30(3): 504−509. Chai Z W, Kang J, Wang L, et al. The construction of DEM in mountain plantation landscape based on UAV images[J]. Remote Sensing Technology and Application, 2015, 30(3): 504−509.
[25]	刘清旺, 李世明, 李增元, 等. 无人机激光雷达与摄影测量林业应用研究进展[J]. 林业科学, 2017, 53(7): 134−148. doi: 10.11707/j.1001-7488.20170714 Liu Q W, Li S M, Li Z Y, et al. Review on the applications of UAV-based LiDAR and photogrammetry in forestry[J]. Scientia Silvae Sinicae, 2017, 53(7): 134−148. doi: 10.11707/j.1001-7488.20170714
[26]	郭治兴, 袁宇志, 郭颖, 等. 基于地形因子的土壤有机碳最优估算模型[J]. 土壤学报, 2017, 54(2): 331−343. Guo Z X, Yuan Y Z, Guo Y, et al. Optimal estimation model of soil organic carbon based on terrain factor[J]. Acta Pedologica Sinica, 2017, 54(2): 331−343.
[27]	Sena N C, Veloso G V, Fernandes-Filho E I. Analysis of terrain attributes in different spatial resolutions for digital soil mapping application in southeastern Brazil[J/OL]. Geoderma Regional, 2020[2022−07−10]. doi: 10.1016/j.geodrs.2020.e00268.
[28]	陈天博, 胡卓玮, 魏铼, 等. 无人机遥感数据处理与滑坡信息提取[J]. 地球信息科学学报, 2017, 19(5): 692−701. doi: 10.3969/j.issn.1560-8999.2017.05.013 Chen T B, Hu Z W, Wei L, et al. Data processing and landslide information extraction based on UAV remote sensing[J]. Journal of Geo-Information Science, 2017, 19(5): 692−701. doi: 10.3969/j.issn.1560-8999.2017.05.013
[29]	王明, 李丽慧, 廖小辉, 等. 基于无人机航摄的高陡/直立边坡快速地形测量及三维数值建模方法[J]. 工程地质学报, 2019, 27(5): 1000−1009. Wang M, Li L H, Liao X H, et al. Rapid topographic measurement and three-dimensional numerical modeling method for high-steep/upright slopes based on aerial photography of UAV[J]. Journal of Engineering Geology, 2019, 27(5): 1000−1009.
[30]	罗达, 林杭生, 金钊, 等. 无人机数字摄影测量与激光雷达在地形地貌与地表覆盖研究中的应用及比较[J]. 地球环境学报, 2019, 10(3): 213−226. Luo D, Lin H S, Jin Z, et al. Applications of UAV digital aerial photogrammetry and LiDAR in geomorphology and land cover research[J]. Journal of Earth Environment, 2019, 10(3): 213−226.
[31]	鲁如坤. 土壤农业化学分析方法[M]. 北京: 中国农业科技出版社, 2000. Lu R K. Soil agricultural chemistry analysis methods[M]. Beijing: China Agricultural Science and Technology Press, 2000.
[32]	鲍士旦. 土壤农化分析[M]. 北京: 中国农业出版社, 2000. Bao S D. Soil agricultural chemistry analysis[M]. Beijing: China Agricultural Press, 2000.
[33]	熊艳艳, 吴先球. 粗大误差四种判别准则的比较和应用[J]. 大学物理实验, 2010, 23(1): 66−68. doi: 10.3969/j.issn.1007-2934.2010.01.022 Xiong Y Y, Wu X Q. Comparison and application of four criteria for gross error[J]. Physics Experiment of College, 2010, 23(1): 66−68. doi: 10.3969/j.issn.1007-2934.2010.01.022
[34]	周鑫, 姜航, 孙金兵, 等. 地形因子和物理保护对张广才岭次生林土壤有机碳密度的影响[J]. 北京林业大学学报, 2016, 38(4): 94−106. Zhou X, Jiang H, Sun J B, et al. Soil organic carbon density as affected by topography and physical protection factors in the secondary forest area of Zhangguangcai Mountains, northeast China[J]. Journal of Beijing Forestry University, 2016, 38(4): 94−106.
[35]	贾呈鑫卓, 李帅锋, 苏建荣. 地形因子对思茅松人工林土壤有机碳储量的影响[J]. 林业科学研究, 2016, 29(3): 424−429. doi: 10.3969/j.issn.1001-1498.2016.03.018 Jia-Cheng X Z, Li S F, Su J R. Influence of terrain factors on soil organic carbon stock in Pinus kesiya var. langbianensis plantation[J]. Forestry Research, 2016, 29(3): 424−429. doi: 10.3969/j.issn.1001-1498.2016.03.018
[36]	邹佳何, 王海燕, 张美娜, 等. 温带云冷杉针阔混交林土壤养分的空间分布特征及影响因素[J]. 应用与环境生物学报, 2021, 27(6): 1554−1562. Zou J H, Wang H Y, Zhang M N, et al. Spatial distribution characteristics and influence factors of soil nutrients in temperate mixed spruce-fir coniferous and broadleaf forests[J]. Chinese Journal of Applied and Environmental Biology, 2021, 27(6): 1554−1562.
[37]	李龙, 姚云峰, 秦富仓, 等. 小流域土壤有机碳密度空间变异特征的尺度效应研究[J]. 土壤, 2014, 46(5): 787−792. Li L, Yao Y F, Qin F C, et al. Scale-dependency of spatial variability of soil organic carbon in small watershed[J]. Soils, 2014, 46(5): 787−792.
[38]	Wang M M, Chen H S, Wang K L. Influencing factors on soil nutrients at different scales in a karst area[J]. Catena, 2019, 175: 411−420. doi: 10.1016/j.catena.2018.12.040

[1]	Wang Xinmiao, Zhao Feng, Liu Hua, Ling Chengxing, Liu Xia, Zeng Haowei. Estimating mangrove forest coverage based on unmanned aerial vehicle (UAV) LiDAR point cloud data[J]. Journal of Beijing Forestry University, 2025, 47(2): 143-151. DOI: 10.12171/j.1000-1522.20240185
[2]	Chen Jiayi, Dai Ying, Zhang Naili. Effects of forest tree species diversity on soil carbon and nitrogen contents in China[J]. Journal of Beijing Forestry University, 2025, 47(2): 23-31. DOI: 10.12171/j.1000-1522.20220400
[3]	Xie Yunhong, Sun Zhao, Ding Zhidan, Luo Mi, Li Yun, Sun Yujun. UAV remote sensing image extraction of single tree crown of Chinese fir based on Mask R-CNN and transfer learning[J]. Journal of Beijing Forestry University, 2024, 46(3): 153-166. DOI: 10.12171/j.1000-1522.20210343
[4]	Qi Zhiyong, Li Shiming, Yue Wei, Liu Qingwang, Li Zengyuan. Forest gap identification in natural forest based on UAV LiDAR[J]. Journal of Beijing Forestry University, 2022, 44(6): 44-53. DOI: 10.12171/j.1000-1522.20210524
[5]	Sun Zhao, Pan Lei, Sun Yujun. Extraction of tree crown parameters from high-density pure Chinese fir plantations based on UAV images[J]. Journal of Beijing Forestry University, 2020, 42(10): 20-26. DOI: 10.12171/j.1000-1522.20190386
[6]	YANG Kun, ZHAO Yan-ling, ZHANG Jian-yong, CHEN Chao, ZHAO Peng-peng. Tree height extraction using high-resolution imagery acquired from an unmanned aerial vehicle (UAV)[J]. Journal of Beijing Forestry University, 2017, 39(8): 17-23. DOI: 10.13332/j.1000-1522.20160428
[7]	WANG Jin-song, ZHAO Xiu-hai, ZHANG Chun-yu, LI Hua-shan, WANG Na, ZHAO Bo. Effects of simulated nitrogen deposition on soil organic carbon and total nitrogen content in plantation and natural forests of Pinus tabuliformis.[J]. Journal of Beijing Forestry University, 2016, 38(10): 88-94. DOI: 10.13332/j.1000-1522.20140294
[8]	HE You-yun, ZHANG Yu-bo, LI Jun-qing, WANG Juan-le. Estimation of stem biomass of individual Abies faxoniana through unmanned aerial vehicle remote sensing[J]. Journal of Beijing Forestry University, 2016, 38(5): 42-49. DOI: 10.13332/j.1000-1522.20150383
[9]	ZHOU Xin, JIANG Hang, SUN Jin-bing, CUI Xiao-yang. Soil organic carbon density as affected by topography and physical protection factors in the secondary forest area of Zhangguangcai Mountains, northeast China[J]. Journal of Beijing Forestry University, 2016, 38(4): 94-106. DOI: 10.13332/j.1000-1522.20150417
[10]	LI Bin, YANG Xiao-tian, WANG Shu-yang.. Simulated optimization of small UAV fuselage for forest fire prevention based on FLUENT．[J]. Journal of Beijing Forestry University, 2015, 37(11): 115-119. DOI: 10.13332/j.1000-1522.20150132

Cited By

Cited by

Periodical cited type(5)

1.	杨敏，刘任涛，曾飞越，吉雪茹，方进，赵文智. 腾格里沙漠东南缘人工固沙植被演替地面节肢动物群落多样性分布特征. 生态学报. 2024(01): 428-439 .
2.	谭豪，脱云飞，冯永钰，贺莉莎，畅翔，陆其伟，何霞红. 四川栗子坪自然保护区不同海拔土壤氮组分垂直特征及季节动态. 水土保持学报. 2024(02): 234-245 .
3.	李文慧，林妍敏，南雄雄，王芳，朱丽珍. 果树-覆盖作物可持续种植体系土壤碳氮固存及其影响因素. 应用生态学报. 2023(02): 471-480 .
4.	张林，齐实，周飘，伍冰晨，张岱，张岩. 北京山区针阔混交林地土壤有机碳含量的影响因素研究. 生态环境学报. 2023(03): 450-458 .
5.	杨中文. 韶关市国有曲江林场阔叶混交林建设抚育探讨. 乡村科技. 2023(18): 124-126 .

Other cited types(5)

Get Citation

PDF

XML

Article views (755) PDF downloads (94) Cited by(10)

Turn off MathJax

Article Contents

Abstract

References

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