摘要
自然界中,土壤碳库对于维持生态系统碳平衡起决定性作用,而土壤有机碳又是碳库中不可或缺的一员,研究土壤有机碳对于全球生态系统碳平衡具有十分重大的意义。因此,基于宝天曼土壤有机碳实测数据并运用半方差函数、克里格插值分析山地土壤有机碳垂直性特征及空间分异程度,利用地理探测器对影响土壤有机碳分布的环境因子进行相关分析,结果表明:(1)宝天曼土壤有机碳介于0.31~7.7 g/kg,属于较低水平,最高值(7.70 g/kg)出现在北坡987 m处;(2)不同土层深度的半方差函数模型不同,0~20和40~60 cm对高斯模型拟合效果更明显、20~40 cm对球状模型拟合效果较好,而线性模型对于60~80和80~100 cm土层深度拟合效果较佳,克里格插值表明0~20和20~40 cm空间分异特征相似,呈西南向东北增加的趋势,而40~60 cm土壤有机碳空间分异呈现东北高、西南低;(3)宝天曼不同土层深度受单个环境因子影响程度不同,解释力介于0.127~0.407,其中NDVI对0~20 cm土壤有机碳解释力最显著(0.407)、高程对40~60 cm土壤有机碳解释力最高(0.373),交互探测结果表明NDVI与坡度解释力最高、高程与其他因子交互探测后解释力显著增大,表明宝天曼土壤有机碳受多种环境因子共同影响,而非单一因素起决定性作用。
Soil carbon pool plays a decisive role in maintaining the carbon balance of the ecosystem, and soil organic carbon is an indispensable part of the carbon pool in nature. Therefore, the study of soil organic carbon is of great significance for the carbon balance of the global ecosystem. This paper uses semi-variance function and kriging interpolation to analyze the vertical characteristics and spatial differentiation of mountain soil organic carbon, and uses geographical detector to conduct correlation analysis on the environmental factors affecting the distribution of soil organic carbon based on the measured data of soil organic carbon in Baotianman. The results showed that: ① the soil organic carbon of Baotianman is between 0.31 and 7.7 g/kg, which is a low level. The highest value(7.70 g/kg) appears at 987 m of the north slope;② for different soil depth of semivariance function model, 0-20 cm and 40-60 cm of gaussian model fitting effect is more apparent, 20-40 cm of the spherical model fitting effect is good, and the linear model for 60-80 cm and 80-100-cm soil depth better fitting effect. Kriging interpolation showed that the depths of 0-20 cm and 20-40 cm share similar space differentiation characteristics,increasing from the southwest to the northeast, and 40 to 60 cm around space differentiation in soil organic carbon is low in the southwest and high in the northeast;③ different soil depths in Baotianman are influenced by a single environmental factor in a different degree. The explanatory power is between 0.127 to 0.407, in which the NDVI shows the most significant explanatory power of soil organic carbon(0.407) in soil depth between 0-20 cm and elevation in soil depth between 40-60 cm(0.373). Interaction detection results show that the NDVI and slope explanatory power topped the list, elevation and and other factors increased significantly after interaction detection, indicating that soil organic carbon in Baotianman is influenced by many environmental factors, rather than a single factor.
作者
李理
朱文博
刘俊杰
张俊华
朱连奇
LI Li;ZHU Wen-bo;LIU Jun-jie;ZHANG Jun-hua;ZHU Lian-qi(College of Environment and Planning,Henan University,Kaifeng 475004,China)
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2020年第3期687-695,共9页
Resources and Environment in the Yangtze Basin
基金
国家自然科学基金项目(41671090)
科技基础资源调查专项(2017FY100902)。
关键词
碳库
土壤有机碳
克里格插值
地理探测器
宝天曼
carbon library
soil organic carbon
kriging interpolation
geographic detector
Baotianman
