东北典型黑土区表层土壤有机碳储量及适宜样本容量

发布时间：2018-09-07 15:50

【摘要】：为了对典型黑土区土壤碳库有更加清晰与深刻的认识,并为其他地区土壤碳储量调查研究提供参考,利用典型黑土区2003—2004年收集的209个样点的实测数据,估算黑土区表层土壤平均有机碳密度及储量,研究碳密度的影响因素,探讨碳储量估算中的适宜样本容量。结果表明:(1)典型黑土区表层土壤有机碳平均密度为(5.75±0.33)kg/m~2,有机碳储量为(523.82±30.06)Tg。(2)表层土壤有机碳密度受气候、地貌、坡度、土壤类型和土地利用类型的影响。土壤碳密度与气温呈反比,与降水量呈正比;碳密度坡脚坡中下部坡上部坡顶宽谷平地;当坡度≥3°时,碳密度随坡度增加呈减小趋势;黑土、草甸土和黑钙土的碳密度小于暗棕壤和沼泽土;林地和草地碳密度大于农地。(3)在95%的置信度下,本研究对典型黑土区土壤有机碳储量的估算误差约为5%;要使估算误差分别为1%和10%,则所需样本容量分别为5 549和56。
[Abstract]:In order to have a clearer and deeper understanding of soil carbon pool in typical black soil area and to provide reference for the investigation and study of soil carbon storage in other regions, 209 samples collected from 2003 to 2004 in typical black soil area were used. The average organic carbon density and storage of surface soil in black soil were estimated, the influencing factors of carbon density were studied, and the suitable sample size in estimating carbon storage was discussed. The results showed that: (1) the average density of soil organic carbon in typical black soil area was (5.75 卤0.33) kg/m~2, organic carbon storage (523.82 卤30.06) Tg. (_ 2). The surface soil organic carbon density was affected by climate, geomorphology, slope, soil type and land use type. Soil carbon density is inversely proportional to air temperature and directly proportional to precipitation; carbon density in the top of the upper and middle slope of the foot slope of the carbon density slope is wide valley plain; when the slope is more than 3 掳, the carbon density tends to decrease with the increase of slope; black soil, black soil, The carbon density of meadow soil and calcareous soil is lower than that of dark brown soil and marsh soil, and the carbon density of woodland and grassland is higher than that of farmland. (3) under 95% confidence, In this study, the estimation error of soil organic carbon reserves in typical black soil areas was about 5%, and the required sample sizes were 5 549 and 56 respectively to make the estimation errors 1% and 10%, respectively.
【作者单位】：北京师范大学地理学与遥感科学学院;水利部长江水利委员会长江科学院;
【基金】：国家自然科学基金项目(41371271);国家自然科学基金重点项目(40235056) 水利部公益性行业科研专项(201501012)
【分类号】：S153.6

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