长江流域资源与环境 >> 2025, Vol. 34 >> Issue (6): 1291-.doi: 10.11870/cjlyzyyhj202506011

• 自然资源 • 上一篇    下一篇

泸江流域不同土地利用类型下土壤有机碳含量及其影响因素

李鸿, 张连凯*, 杨克好, 王晓宇, 王兴荣, 何旭, 王传宇, 王超   

  1. (中国地质调查局昆明自然资源综合调查中心/自然资源部自然生态系统碳汇工程技术创新中心, 云南 昆明 650100)
  • 出版日期:2025-06-20 发布日期:2025-06-27

Soil Organic Carbon Content and Influencing Factors for Different Land Uses in the Lujiang River Basin

LI Hong, ZHANG Lian-kai, YANG Ke-hao, WANG Xiao-yu, WANG Xing-rong, HE Xu, WANG Chuan-yu, WANG Chao   

  1. (Kunming Natural Resources Comprehensive Investigation Center, China Geological Surve/ Technology Innovation Center for Natural Ecosystem Carbon Sequestration Engineering, MNR, Kunming 650100, China)
  • Online:2025-06-20 Published:2025-06-27

摘要: 土壤有机碳(Soil Organic Carbon, SOC)作为生态系统中碳循环的主要参与者及土壤生态功能的承担者, 对于维持区域生态平衡和土地可持续利用至关重要。喀斯特地区生态系统极为脆弱, SOC含量在水平和垂直空间内均具有较大的变异性, 在一定程度上限制了生态保护和土地管理措施的实施。研究以典型喀斯特地貌下泸江流域内的耕地、林地和草地3种典型土地利用类型的土壤为研究对象, 分析了0~100 cm 土层SOC含量的变化特征, 并探究了影响SOC含量的潜在土壤理化性质。结果表明:(1)3种土地利用类型下SOC含量均随土壤深度增加而降低, 并且在各个深度下草地与林地的SOC含量均显著高于耕地;(2)回归分析表明3种土地利用类型下CaO、MgO、土壤总氮、pH和碱解氮与SOC呈显著正相关, 而SiO2与SOC呈显著负相关;(3)随机森林模型进一步表明, CaO和碱解氮为SOC的关键影响因素。喀斯特地貌中SOC含量的变异较大, 草地与林地的SOC含量均显著高于耕地, CaO和碱解氮是影响SOC含量的重要土壤理化指标。

Abstract: Soil organic carbon (SOC) is a key participant in carbon cycling within ecosystems and a bearer of soil ecological functions.It plays a crucial role in maintaining regional ecological balance and sustainable land use.The ecosystem in karst areas is extremely fragile, and the soil organic carbon (SOC) content exhibits significant variability both horizontally and vertically, which limits the implementation of effective ecological protection and land management measures.This study focused on soils of three common land use types, including cultivated land, forest land, and grassland within the karst landform of Lujiang river basin.We analyzed the variations in SOC content across the 0~100 cm soil profiles and investigated the potential soil physicochemical properties that impacted SOC content.The results indicated: (1)SOC content decreased with an increasing soil depth under all land use types.The grassland and forest land consistently exhibited significantly higher SOC content than the cultivated land; (2)CaO, MgO, Total nitrogen (TN), pH, and alkaline nitrogen exhibited significant positive correlations with SOC content for all land use types, while SiO2 showed a significant negative correlation; (3) The random forest model further identified that CaO, and alkaline nitrogen were the key factors influencing SOC content.In summary, there was considerable variability in SOC content in the karst landscape, with grassland and forest land exhibited significantly higher SOC levels than cultivated land.CaO, and alkaline nitrogen were identified as crucial soil physicochemical indicators that affected SOC content

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 王毛兰,| 胡春华,周文斌,. 丰水期鄱阳湖氮磷含量变化及来源分析[J]. 长江流域资源与环境, 2008, 17(1): 138 .
[2] 洪佳,王振钟,王丽丽,袁刚. 金华江流域利用硅藻生物学特性监测水质研究[J]. 长江流域资源与环境, 2014, 23(09): 1285 .
[3] 张鑫, 陈志刚. 经济增长激励、官员异质性与城市工业污染:以长三角地区为例[J]. 长江流域资源与环境, 2018, 27(07): 1314 .
[4] 郭政, 董平, 陆玉麒, 黄群芳, 马颖忆. 长三角集装箱港口体系演化及影响因素分析[J]. 长江流域资源与环境, 2018, 27(07): 1340 .
[5] 蓝希, 刘小琼, 郭炎, 陈昆仑. “长江经济带”战略背景下武汉城市水环境承载力综合评价[J]. 长江流域资源与环境, 2018, 27(07): 1345 .
[6] 罗能生, 王玉泽.彭郁, 李建明. 长江中游城市群生态效率的空间关系及其协同提升机制研究[J]. 长江流域资源与环境, 2018, 27(07): 1349 .
[7] 刘钢, 刘坤琳, 汪玮茜, 赵爽. 水质感知视角下水库移民满意度分析——基于有序逻辑回归的实证研究[J]. 长江流域资源与环境, 2018, 27(07): 1355 .
[8] 戢晓峰, 刘丁硕. 基于3D理论与SEM的县域交通可达性与空间贫困的耦合机制[J]. 长江流域资源与环境, 2018, 27(07): 1360 .
[9] 张大鹏, 曹卫东, 姚兆钊, 岳洋, 任亚文. 上海大都市区物流企业区位分布特征及其演化[J]. 长江流域资源与环境, 2018, 27(07): 1365 .
[10] 佘颖, 刘耀彬. 国内外绿色发展制度演化的历史脉络及启示[J]. 长江流域资源与环境, 2018, 27(07): 1370 .