Difference analysis of soil organic carbon density distribution characteristics of Picea crassifolia and Betula platyphylla forest: Taking the Ta'ergou watershed of Datong county, Qinghai province as an example
LIU Xinyue1,2,3, CAI Youzhu4, ZHAO Lijuan4, CHENG Chang1,2,3, CHEN Xiao1,2,3, HE Kangning1,2,3
1. Key Laboratory of State Forestry Administration on Soil and Water Conservation, School of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China; 2. Beijing Soil and Water Conservation Engineering Technology Research Center, 100083, Beijing, China; 3. Forestry Ecological Engineering Research Center of the Ministry of Education, 100083, Beijing, China; 4. Baoku Forest Farm, Datong Hui and Tu Autonomous County, 810100, Xining, China
Abstract：[Background] Forest is the most important carbon storage pool in the terrestrial ecosystem. Studying the spatial distribution pattern of soil organic carbon density (SOCD) in forest land and understanding its influencing factors contribute to enhancing soil fertility, thereby promoting the stability of forest stands and improving vegetation productivity in ecosystems. Due to the fact that the Ta'ergou small watershed in Datong county, northeastern Qinghai province is a typical representative area for implementing the Grain for Green Project in the Qilian Mountains region, this area has been selected as the research area. [Methods] This study selected three typical forest types, namely Picea crassifolia forest, Betula platyphylla forest, and Picea crassifolia & Betula platyphylla forest, in the Ta'ergou watershed of Datong county, Qinghai province. Set up 5 plots in each forest type, totaling 15. Sampling was conducted on soil layers (0-20, 20-40, and 40-60 cm) at different depths under different forest types, the organic carbon content was measured to calculate the SOCD, and the grey correlation analysis method was used for research and analyze the distribution characteristics and influencing factors of soil organic carbon density in the forest land. [Results] The findings indicated that the soil organic carbon density (SOCD) content in different forest land types demonstrated that the P. crassifolia & B. platyphylla was higher than the B. platyphylla (P<0.05), and the P. crassifolia was the lowest. The organic carbon density on the vertical profile decreased with the increase of soil depth and was significantly positively correlated with the shrub biomass and canopy density in the vegetation layer factors, while significantly negatively correlated with the angular scale. Among the three forest types, the correlation between available phosphorus (AP) and soil organic carbon density is the highest in the P. crassifolia forest at 0-20 cm (correlation degree is 0.92). In the B. platyphylla forest, the factors with strong correlation with organic carbon density are 0-20 cm alkaline nitrogen (AN), 0-40 cm available phosphorus (AP), and average tree height (H); In the P. crassifolia & B. platyphylla, the correlation between canopy density (CD) and organic carbon density is the highest (correlation degree is 0.95). [Conclusions] The P. crassifolia & B. platyphylla has the best comprehensive properties, which is more favorable for the storage and buildup of soil organic carbon. It has important guiding significance for the improvement of forest stand function in the region.
刘欣悦, 蔡有柱, 赵丽娟, 程唱, 陈笑, 贺康宁. 云杉、白桦人工林地土壤有机碳密度分布特性差异分析——以青海省大通县塔尔沟流域为例[J]. 中国水土保持科学, 2024, 22(4): 182-190.
LIU Xinyue, CAI Youzhu, ZHAO Lijuan, CHENG Chang, CHEN Xiao, HE Kangning. Difference analysis of soil organic carbon density distribution characteristics of Picea crassifolia and Betula platyphylla forest: Taking the Ta'ergou watershed of Datong county, Qinghai province as an example. SSWC, 2024, 22(4): 182-190.
宋瑞朋, 杨起帆, 郑智恒, 等. 3种林下植被类型对杉木人工林土壤有机碳及其组分特征的影响[J]. 生态环境学报, 2022, 31(12): 2283. SONG Ruipeng, YANG Qifan, ZHENG Zhiheng, et al. Effects of three understory vegetation types on soil organic carbon and its components in Cunninghamia lanceolata plantation[J]. Ecology and Environmental Sciences, 2022, 31(12): 2283.
[2]
陈笑, 李远航, 左亚凡, 等. 林分特征和土壤养分对林下草本物种多样性的影响[J]. 西北植物学报, 2022, 42(8): 1396. CHEN Xiao, LI Yuanhang, ZUO Yafan, et al. Effects of stand characteristics and soil nutrient characteristics on herbaceous diversity[J]. Acta Botanica Boreali-Occidentalia Sinica, 2022, 42(8): 1396.
[3]
苟清平, 朱清科, 梅雪梅, 等. 陕北黄土区不同林地土壤有机碳含量研究[J]. 安徽农业大学学报, 2023, 50(3): 490. GOU Qingping, ZHU Qingke, MEI Xuemei, et al. Study on the soil organic carbon content of different vegetation types in loess region of northern Shaanxi province, China[J]. Journal of Anhui Agricultural University, 2023, 50(3): 490.
[4]
陈志林, 强浪浪, 向安民, 等. 地形因子对青海祁连圆柏林土壤有机碳空间分布的影响[J]. 西北林学院学报, 2022, 37(6): 68. CHEN Zhilin, QIANG Langlang, XIANG Anmin, et al. Effects of topographical factors on the spatial distribution of soil organic carbon of Juniperus przewalskii forest in Qinghai province[J]. Journal of Northwest Forestry University, 2022, 37(6): 68.
[5]
解宪丽, 孙波, 周慧珍, 等. 不同植被下中国土壤有机碳的储量与影响因子[J]. 土壤学报, 2004, 41(5): 687. XIE Xianli, SUN Bo, ZHOU Huizhen, et al. Soil carbon stocks and their influencing factors under native vegetations in China[J]. Acta Pedologica Sinica, 2004, 41(5): 687.
[6]
夏晓莹. 天山云杉林土壤有机碳分布特征及其影响因素研究[D]. 乌鲁木齐: 新疆农业大学, 2022:37. XIA Xiaoying. Distribution characteristics and influencing factors of soil organic carbon in Picea schrenkiana var. tianschanica forest[D]. Urumqi: Xinjiang Agricultural University, 2022: 37.
[7]
芦倩, 李毅, 刘贤德, 等. 祁连山排露沟流域土壤有机碳空间变异性研究[J]. 水土保持学报, 2020, 34(5): 238. LU Qian, LI Yi, LIU Xiande, et al. Study on spatial variability of soil organic carbon in Pailugou catchment of Qilian Mountains[J]. Journal of Soil and Water Conservation, 2020, 34(5): 238.
[8]
李成, 王让会, 李兆哲, 等. 中国典型农田土壤有机碳密度的空间分异及影响因素[J]. 环境科学, 2021, 42(5): 2432. LI Cheng, WANG Ranghui, LI Zhaozhe, et al. Spatial differentiation of soil organic carbon density and influencing factors in typical croplands of China[J]. Environmental Science, 2021, 42(5): 2432.
[9]
刘若莎, 王冬梅, 李平, 等. 青海高寒区典型人工林植物多样性、地上生物量特征及其相关性[J]. 生态学报, 2020, 40(2): 692. LIU Ruosha, WANG Dongmei, LI Ping, et al. Plant diversity, ground biomass characteristics and their relationships of typical plantations in the alpine region of Qinghai[J]. Acta Ecologica Sinica, 2020, 40(2): 692.
[10]
张甘霖, 龚子同. 土壤调查实验室分析方法[M]. 北京: 科学出版社, 2012: 79. ZHANG Ganlin, GONG Zitong. Methods for laboratory analysis of soil investigation[M]. Beijing: Science Press, 2012: 79.
[11]
刘春霞. 重庆缙云山典型林分结构特征对坡面水文过程的影响[D]. 北京: 北京林业大学, 2019: 19. LIU Chunxia. Effects of structure characteristics of typical forest stands on slope hydrological processes in Jinyun Mountain, Chongqing[D]. Beijing: Beijing Forestry University, 2019: 19.
[12]
YU Haiyan, ZHA Tonggang, ZHANG Xiaoxia, et al. Vertical distribution and influencing factors of soil organic carbon in the Loess Plateau, China[J]. Science of the Total Environment, 2019, 693: 133.
[13]
AN Hui, LI Qiaoling, YAN Xin, et al. Desertification control on soil inorganic and organic carbon accumulation in the topsoil of desert grassland in Ningxia, Northwest China[J]. Ecological Engineering, 2019(127): 348.
[14]
HOU Guolong, DELANG C O, LU Xixi. Afforestation changes soil organic carbon stocks on sloping land: The role of previous land cover and tree type[J]. Ecological Engineering, 2020, 15(2): 105.
[15]
王洪岩, 王文杰, 邱岭, 等. 兴安落叶松林生物量、地表枯落物量及土壤有机碳储量随林分生长的变化差异[J]. 生态学报, 2012, 32(3): 833. WANG Hongyan, WANG Wenjie, QIU Ling, et al. Differences in biomass, litter layer mass and SOC storage changing with tree growth in Larix gmelinii plantations in Northeast China[J]. Acta Ecologica Sinica, 2012, 32(3): 833.
[16]
运剑苇, 刘淑婧, 张卫华, 等. 三峡库区天竺桂不同郁闭度下的截留效应[J]. 西南大学学报(自然科学版), 2021, 43(3): 45. YUN Jianwei, LIU Shujing, ZHANG Weihua, et al. Interception effect of different canopy closures of Cinnamomum japonicum in the Three Gorges Reservoir Area[J]. Journal of Southwest University (Natural Science Edition), 2021, 43(3): 45.
[17]
曹丽花, 刘合满, 赵世伟. 退化高寒草甸土壤有机碳分布特征及与土壤理化性质的关系[J]. 草业科学, 2011, 28(8): 1411. CAO Lihua, LIU Heman, ZHAO Shiwei. Distribution characteristics of organic carbon in degraded alpine meadow soil and its relationship with soil physicochemical properties[J]. Pratacultural Science, 2011, 28(8): 1411.
[18]
师春娟, 王齐, 周德全. 林木混交对土壤性质及肥力的影响研究[J]. 林业实用技术, 2012(2): 15. SHI Chunjuan, WANG Qi, ZHOU Dequan. Study on the effects of mixed forest trees on soil properties and fertility[J]. Practical Forestry Technology, 2012(2): 15.
[19]
王晓峰, 汪思龙, 张伟东. 杉木凋落物对土壤有机碳分解及微生物生物量碳的影响[J]. 应用生态学报, 2013, 24(9): 2393. WANG Xiaofeng, WANG Silong, ZHANG Weidong. Effects of Chinese fir litter on soil organic carbon decomposition and microbial biomass carbon[J]. Chinese Journal of Applied Ecology, 2013, 24(9): 2393.
[20]
李成. 黄前流域四种人工林林分结构与固碳特征及其关联性研究[D]. 山东泰安: 山东农业大学, 2020: 17. LI Cheng. Study on the characteristics of forest structure and carbon sequestration of four plantations and their relevance in Huangqian Watershed[D]. Tai'an, Shandong: Shandong Agricultural University, 2020: 17.
[21]
HATI K M, SWARUP A, MISHRA B, et al. Impact of long-term application of fertilizer, manure and lime under intensive cropping on physical properties and organic carbon content of an Alfisol[J]. Geoderma, 2008, 148(2): 173.
[22]
李鹏, 杨章旗, 颜培栋, 等. 不同混交比例马尾松和红锥人工混交林水土流失特征和土壤理化性质[J]. 中南林业科技大学学报, 2022, 42(4): 104. LI Peng, YANG Zhangqi, YAN Peidong, et al. Quality evaluation of mixed plantations of Pinus massoniana and Castanopsis hystrix based on the soil erosion characteristics and soil physical and chemical properties[J]. Journal of Central South University of Forestry & Technology, 2022, 42(4): 104.
2024, Vol. 22 
