| 夏银行,黎蕾,陈香碧,何寻阳,刘坤平,吴金水,苏以荣.基于探地雷达技术估算喀斯特峰丛洼地不同坡位土壤有机碳密度的方法[J].农业环境科学学报,2015,34(5):920-927. |
| 基于探地雷达技术估算喀斯特峰丛洼地不同坡位土壤有机碳密度的方法 |
| Estimating Soil Organic Carbon Density at Different Slope Positions in a Typical Karst Peak-cluster Depression Area by Ground Penetrating Radar Technology |
| 投稿时间：2014-11-10 |
| DOI：10.11654/jaes.2015.05.015 |
| 中文关键词: 喀斯特峰丛洼地 探地雷达 土壤分布 土壤有机碳密度 |
| 英文关键词: Karst peak-cluster depression area ground penetrating radar soil distribution soil organic carbon density |
| 基金项目:国家科技支撑计划项目(2012BAD05B03-6);中国科学院战略性先导科技专项(XDA05070403);国家自然科学基金项目(41171246) |
| 作者 | 单位 | E-mail | | 夏银行 | 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125
中国科学院大学, 北京 100049
中国科学院环江喀斯特生态系统观测研究站, 广西 环江 547100 | | | 黎蕾 | 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125
中国科学院大学, 北京 100049
中国科学院环江喀斯特生态系统观测研究站, 广西 环江 547100 | | | 陈香碧 | 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125
中国科学院环江喀斯特生态系统观测研究站, 广西 环江 547100 | | | 何寻阳 | 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125
中国科学院环江喀斯特生态系统观测研究站, 广西 环江 547100 | | | 刘坤平 | 中国科学院环江喀斯特生态系统观测研究站, 广西 环江 547100 | | | 吴金水 | 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125 | | | 苏以荣 | 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125
中国科学院环江喀斯特生态系统观测研究站, 广西 环江 547100 | yrsu@isa.ac.cn |
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| 中文摘要: |
| 在典型喀斯特峰丛洼地区按上、中、下坡位和洼地分别选取四个样方,利用探地雷达技术探测土壤深度,获得各层次土壤体积分数,结合土壤剖面采样获得的土壤有机碳含量、石砾含量和容重等数据,计算土壤有机碳密度。结果表明:该峰丛洼地区上、中、下坡位的土壤主要集中在0~30 cm深度范围内,体积分数范围为72%±16%~78%±6%,洼地的土壤则主要集中在0~70 cm,体积分数为64%±17%;土壤剖面0~30 cm内有机碳含量逐层显着下降(P<0.05),在深度30 cm以下下降趋势变缓,表层土壤有机碳含量从上坡至洼地逐渐降低,符合喀斯特地区特有的“养分倒置”现象;基于探地雷达法测得的0~20 cm土壤有机碳密度由上坡至洼地逐渐减小,上坡与洼地差异显着(P<0.05),而0~100 cm土壤有机碳密度则洼地显着大于坡地(P<0.05);探地雷达法与“平均深度法”相比,后者对前者的相对误差为0.3%~14.5%,未达到显着差异。通过研究建立了基于探地雷达准确获取土壤深度的土壤有机碳密度的估算方法,适用于喀斯特非连续性土壤,为进一步准确估算喀斯特地区土壤有机碳储量提供了更可靠的方法。 |
| 英文摘要: |
| High proportion of bare rocks, disconnected soil distribution and large variation of soil depths are the characteristics of Karst landforms, leading to hardly accurate estimation of soil organic carbon density(SOCD) by the conventional methods. In this study, four quadrats were selected at each of different slope positions(upper-slope, mid-slope, lower-slope and depression) in a typical Karst peak-cluster depression area. Soil depth and soil distribution in each quadrat were measured by ground penetrating radar(GPR) technology, and soil volume fraction was then calculated. Soil profile samples were collected from each quadrat and analyzed for soil organic matter, gravel content and bulk density. The SOCD was then calculated according to soil organic carbon(SOC) content, gravel content, bulk density and soil volume fraction. Results showed that soil depths were between 0~30 cm at upper-slope, mid-slope and lower-slope, with soil volumetric fractions ranging from 72%±16% to 78%±6%; while soil depth was up to 70 cm, with soil volumetric fractions of 64%±17% in depression area. The SOC content decreased significantly from 0 to 30 cm(P<0.05) within a soil profile, but it gradually increased from the depression area to the upper-slope, showing a special phenomenon of “nutrient inversion” in the Karst areas. The SOCD in 0~20 cm depth gradually reduced from the upper~slope to the depression positions, and showed significant difference between the upper-slope and depression positions(P<0.05). However, the SOCD in 0~100 cm profile in the depression position was significantly higher than that in the slope positions(P<0.05). Compared to the “Average Depth” method, the GPR method had relative error of 0.3%~14.5%, showing no significant difference. Therefore, GPR method could be used to accurately detect soil depth and soil distribution for estimating SOCD in disconnected soils in Karst area, and is a reliable method to estimate SOC storage in Karst areas with a promising accuracy. |
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