中文关键词土壤有机碳剖面影响因素指数递减函数成都平原 英文关键词soil organic carbonprofileinfluencing factorsexponential decay functionChengdu Plain

作者	单位	E-mail
李珊	四川农业大学资源学院, 成都 611130	wgylishan@163.com
李启权	四川农业大学资源学院, 成都 611130	liqq@lreis.ac.cn
王昌全	四川农业大学资源学院, 成都 611130
张浩	四川农业大学资源学院, 成都 611130
肖怡	四川农业大学资源学院, 成都 611130
唐嘉玲	四川农业大学资源学院, 成都 611130
代天飞	成都土壤肥料测试中心, 成都 610041
李一丁	四川农业大学资源学院, 成都 611130

中文摘要 了解环境因素对土壤有机碳剖面分布的影响，是准确拟合土壤有机碳在垂直方向上的连续变化、开展其三维空间分布模拟和估算区域土壤有机碳储量的基础.基于171个土壤剖面采样数据，利用指数递减函数拟合土壤有机碳剖面分布，分析成都平原区水稻土有机碳剖面分布的空间变异特征，并探讨成土母质、土壤类型（亚类和土属）、海拔、与河流距离和土地利用方式对其空间变异的影响作用，进而揭示环境因素对土壤有机碳剖面分布的影响.结果表明，0~20、20~40、40~60和60~100 cm土壤有机碳均值分别为19.42、9.59、5.99和5.20 g·kg^-1，表现出显著的剖面递减趋势.土壤有机碳含量主要集中在40 cm以上，占整个土壤剖面的质量分数为72.17%，是研究成都平原区水稻土碳源/汇的关键部分.拟合土壤有机碳剖面分布的指数递减函数的2类参数呈现出一致的空间分布格局，具有空间相关性；参数C和k的块金系数分别为55.400%和47.671%，表明成都平原区水稻土壤有机碳剖面分布受结构性因素和随机性因素共同影响.回归分析揭示，成土母质和土属是影响研究区土壤有机碳剖面分布的主控因素，但海拔、与河流距离和土地利用的作用不容忽视.在拟合成都平原区水稻土有机碳剖面分布、构建其三维空间预测模型和估算土壤有机碳储量时，应重点考虑成土母质和土属的作用. 英文摘要 Understanding the effects of environmental factors on the profile distribution of soil organic carbon (SOC) is a base to accurately modeling the continuous change of SOC in vertical and three-dimensional spatial distributions, as well as precisely estimating SOC storage. Based on 171 soil profiles collected from Chengdu Plain, the effects of environmental factors (including the parent material, soil type, elevation, distance from river, and land use) on the profile distribution of paddy SOC to a depth of 1 m were evaluated through the exponential decay function. The results indicated that SOC was estimated at 19.42, 9.59, 5.99, and 5.20 g·kg^-1 at depths of 0-20, 20-40, 40-60, and 60-100cm, respectively, showing a significant decrease with increased depth. Soil organic carbon was mainly concentrated above a 40 cm soil depth, accounting for 72.17% of the total profile, which could be crucial to studying the carbon source/sink of paddy soils in Chengdu Plain. The parameters of the exponential decay function had a similar spatial pattern, indicating their spatial dependence. The nugget coefficients for C and k were 55.400% and 47.671%, respectively, indicating that paddy SOC in the study area was affected by both structural and random factors. Regression analysis implied that the parent material and soil genius were the dominant factors influencing the profile distribution of SOC. Nevertheless, elevation, distance from river, and land use should also be taken into consideration. It has been concluded that the parent material and soil genius should be premeditated when fitting the vertical distribution of SOC, modeling the three-dimensional prediction of soil organic carbon, and estimating soil carbon storage in the paddy soils of Chengdu Plain.

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