Relationships Between Soil Bulk Density Spatial Heterogeneity and Terrain Factors and Land Use in Zhuxi Watershed

PAN Zongtao; CHEN Zhiqiang; CHEN Zhibiao

doi:10.13961/j.cnki.stbctb.2018.03.042

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Relationships Between Soil Bulk Density Spatial Heterogeneity and Terrain Factors and Land Use in Zhuxi Watershed

- Relationships Between Soil Bulk Density Spatial Heterogeneity and Terrain Factors and Land Use in Zhuxi Watershed
- Bulletin of Soiland Water Conservation Vol. 38, Issue 3, Pages: 263-268(2018)
- 作者机构：
  
  1. 福建师范大学地理科学学院,福建,福州,350007
  2. 湿润亚热带山地生态国家重点实验室培育基地,福建,福州,350007
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.03.042
  CLC：
- Published：2018
- 稿件说明：
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PAN Zongtao, CHEN Zhiqiang, CHEN Zhibiao. Relationships Between Soil Bulk Density Spatial Heterogeneity and Terrain Factors and Land Use in Zhuxi Watershed[J]. Bulletin of Soiland Water Conservation, 2018, 38(3): 263-268.
DOI：

PAN Zongtao, CHEN Zhiqiang, CHEN Zhibiao. Relationships Between Soil Bulk Density Spatial Heterogeneity and Terrain Factors and Land Use in Zhuxi Watershed[J]. Bulletin of Soiland Water Conservation, 2018, 38(3): 263-268. DOI： 10.13961/j.cnki.stbctb.2018.03.042.

摘要

[目的]分析朱溪流域土壤容重与地形和土地利用之间的关系，为南方红壤侵蚀区水土保持提供相关理论依据。[方法]以福建省长汀县朱溪流域为基础，基于GIS和地统计分析原理，并结合经典统计学方法分析土壤容重的空间变异性。采用拟合度最好的球状模型拟合土壤容重的半变异函数，并采用普通Kriging空间插值法，对研究区土壤容重空间分布进行预测。在此基础上利用ArcGIS空间分析功能统计高程和坡度各分区内的土壤容重均值，并利用栅格叠加分析，分析不同土地利用下土壤容重分布情况。[结果]①朱溪小流域土壤容重具有从东北向西南增大的趋势，容重低值区主要分布在东部和东北部，高值区主要分布在西南部和中部。②流域土壤容重具有随海拔和坡度增大而降低的趋势，坡位和坡向则对该地区土壤容重空间分布影响不明显。③居民点及工矿用地和交通用地土壤容重均值明显大于林地、草地等植被盖度较好的区域。[结论]地形和土地利用是影响朱溪小流域土壤容重的重要因子，而高程和坡度是主要地形影响因子；不同土地利用类型土壤容重差异显著，植被覆盖好的区域土壤容重显著低于其他土地类型，因此应加强植被保护，以改善土壤结构。

Abstract

[Objective] In order to provide appropriate theoretical foundation for conservation of water and soil in southern red eroded soil region

the relationships between topography

land use and soil bulk density were analyzed in Zhuxi watershed.[Methods] The study was conducted in the area of Zhuxi watershed in Changting County

Fujian Province. Based on classical statistics and the geostatistics methods

the article analyzed the spatial variability of soil bulk density. The spherical model was selected as the best option for semivariogram. Ordinary Kriging interpolation was applied to predict the spatial distribution of bulk density. Zonal statistics function of ArcGIS was used to analysis the relationship between mean value of bulk density and elevation and slop

and raster overlay analysis was applied to calculate the area of bulk density in different land use types.[Results] ① The soil bulk density in watershed increased from northeast to southwest

and the lower bulk density area was located in west

and northwest and the higher bulk density area was located in southwest and central region. ② The bulk density decreased with the increase of elevation and slope

in contrast

slope position and slop aspect had little impact on spatial heterogeneity of bulk density in Zhuxi watershed. ③ Residential land and traffic land had a higher mean value of bulk density than the area covered by forests and grass.[Conclusion] Topography and land use were important factors which influence soil bulk density

while elevation and slope were regarded as the main terrain factors for spatial heterogeneity of bulk density in study area. There was a significant difference among different land use types

and the area with a good vegetation cover had a lower value of bulk density than other types. Therefore

to improve the soil structure in study area

vegetation conservation should be strengthened.

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