Spatial Variability of Soil Organic Carbon in Catchment Scale of Loess Hilly Area

XUE Zhi-jing; HOU Xiao-rui; CHENG Man; AN Shao-shan

您当前的位置：

首页 >

文章列表页 >

Spatial Variability of Soil Organic Carbon in Catchment Scale of Loess Hilly Area

更新时间：2024-11-07

- Spatial Variability of Soil Organic Carbon in Catchment Scale of Loess Hilly Area
- Vol. 25, Issue 3, (2011)
- 作者机构：
  
  1. 西北农林科技大学资源环境学院,陕西杨凌,7121002. 西北农林科技大学资源环境学院,陕西杨凌,712100
  2. 西北农林科技大学水土保持研究所,陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：
  CLC： S153.62
- Published：2011
- 稿件说明：
移动端阅览
XUE Zhi-jing, HOU Xiao-rui, CHENG Man, et al. Spatial Variability of Soil Organic Carbon in Catchment Scale of Loess Hilly Area[J]. 2011, 25(3).
DOI：

XUE Zhi-jing, HOU Xiao-rui, CHENG Man, et al. Spatial Variability of Soil Organic Carbon in Catchment Scale of Loess Hilly Area[J]. 2011, 25(3). DOI：

摘要

通过对上黄试区小流域不同土地利用类型下的60个样点的采样分析

结合地统计学原理对小流域土壤有机碳的空间异质性进行研究。试验结果表明

土壤有机碳含量随土层深度的增加而减少

不同土地利用类型下的土壤有机碳存在显著性差异。表层0-10cm的土壤有机碳含量为9.544g/kg

明显高于10-30cm的7.10g/kg和30-60cm的4.63g/kg。通过Kriging插值法估算

其结果也表现出相同的规律。由土壤有机碳含量分布图可知

0-10cm

10-30cm和30-60cm 3层土壤的有机碳含量均表现出天然草地和柠条纯林高于川台地和河滩地。土壤有机碳含量在空间分布上表现出的特征

与动植物在土体中的垂直分布格局、人类社会活动及区域气候条件等因素有关。

Abstract

According to the analysis of 60 sampling points which located in Shanghuang small watershed in loess hilly area.Using geostatistics method analyzed spatial variability of soil organic carbon(SOC) contents.The results indicated thats the SOC contents decreased with the increase of soil depth and in different land use patterns

there existing significant differences.The SOC contents of surface 0-10 cm with 9.544 g/kg was obviously higher than that of 10-30 cm and 30-60 cm which were 7.10 g/kg and 4.63 g/kg res...

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Assessment of Soil Properties Spatial Variation in Long-Term Observation Field in Study of Ecosystem

Spatial Variability of Soil Particle Composition in Hilly Tea Plantation Soils With Different Sampling Scales

Inversion of Black Soil Layer Thickness Based on Multi-Temporal High-Resolution Remote Sensing Data and Machine Learning

Small Watershed Erosion Model （SWEM）

Related Author

WANG Fang

SU Yong-zhong

FENG Na-na

LI Ting-xuan

ZHANG Xi-zhou

WANG Yong-dong

LIAO Gui-tang

ZHAO Tongtong

Related Institution

Northeast Institute of Geography and Agroecology， Chinese Academy of Sciences

School of Geomatics and Prospecting Engineering， Jilin Jianzhu University

Faculty of Arts and Sciences， Beijing Normal University at Zhuhai

State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction， Faculty of Geographical Science， Beijing Normal University

Institute of Water Conservancy History, China Academy of Water Resources and Hydropower Sciences

⁰