Spatial variability of soil organic carbon in the forestlands of northeast China
Spatial variability of soil organic carbon in the forestlands of northeast China
复制标题
东北林地土壤有机碳空间变异
DOI：
10.1007/s11676-014-0533-3
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发表时间：
2014-11
影响因子：
3
通讯作者：
Lixu
中科院分区：
文献类型：
--
作者：
Daiwen;Lei Xiangdong;Yang Xiaojuan;Lixu
土壤有机碳（SOC）是土壤肥力和生产力的有效指标，其随土壤其他性质的时空变化而变化。利用地统计学方法对东北地区林地土壤有机碳的空间变异特征进行了研究。从63个临时样地采集0-20 cm、20-40 cm和40-60 cm深度的土壤样品，研究土壤有机碳浓度和密度（SOCD）等土壤性质。分析了土壤有机碳与土壤性质的相关性。土壤有机碳含量较高。土壤（0-60 cm）C的总贮量为16.23 kg·m-2，表层土壤的SOCD最高，为7.98 kg·m-2。在大多数情况下，土壤性质因土层而异，表明每个土层的过程和影响不同。土壤有机碳与全氮、全磷、全钾和速效钾均呈正相关，与速效磷的相关性不显著。0-60 cm土壤有机碳具有较强的空间自相关性，块金/基台比为5.7%，0-20 cm土壤有机碳具有中等的结构相关性，表明土壤有机碳具有高度的空间结构。采用回归克里格法对土壤有机碳浓度和土壤有机碳浓度的空间分布进行了估计，其预测精度高于普通克里格法。土壤有机碳分维值反映了土壤有机碳分布的优先格局，东北-西南方向的空间异质性最大，空间依赖性最强。
Soil organic carbon (SOC) is an effective indicator of soil fertility and productivity, and it varies spatially and temporally in relation to other soil properties. Spatial variability of SOC in the forestlands of northeast China was characterized using geostatistics. Soil samples at the depths of 0–20 cm, 20–40 cm and 40–60 cm were collected from sixty-three temporary plots to evaluate SOC concentration and density (SOCD) and other soil properties. We analyzed correlations between SOC and soil properties. Soil organic carbon concentrations were high. The total amount of C stored in soil (0–60 cm) was 16.23 kg·m−2with the highest SOCD of 7.98 kgm−2in topsoil. Soil properties in most cases differed by horizon, suggesting different processes and effects in each horizon. Soil organic carbon had positive relationships with total N, P and K as well as readily available K, but did not show a significant positive correlation with available P. Spatial factors including elevation, slope and aspect affected SOC distribution. Soil organic carbon at 0–60 cm had strong spatial autocorrelation with nugget/sill ratio of 5.7%, and moderate structured dependence was found at 0–20 cm, which indicated the existence of a highly developed spatial structure. Spatial distributions of SOC concentration and SOCD were estimated using regression-kriging, with higher prediction accuracy than ordinary kriging. The fractal dimension of SOC indicated the preferential pattern of SOC distribution, with the greatest spatial heterogeneity and strongest spatial dependence in the northeast-southwest direction.
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DOI：
--
发表时间：
2004
期刊：
Bulletin of Soil and Water Conservation
影响因子：
--
作者：
Zhao Jun
通讯作者：
Zhao Jun
影响因子：
9.7
作者：
Xin Zhao;Quan Wang;Y. Kakubari
通讯作者：
Xin Zhao;Quan Wang;Y. Kakubari
DOI：
--
发表时间：
1998
期刊：
--
影响因子：
--
作者：
S. Dakota
通讯作者：
S. Dakota
影响因子：
2.5
作者：
R. D. Veaux
通讯作者：
R. D. Veaux
影响因子：
8.9
作者：
N.A Scott;K.R Tate;D. Giltrap;C. Tattersall Smith;H. Wilde;P. Newsome;M.R Davis
通讯作者：
N.A Scott;K.R Tate;D. Giltrap;C. Tattersall Smith;H. Wilde;P. Newsome;M.R Davis