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Spatial Variability of Soil Organic Carbon in a Watershed on the Loess Plateau

  • CAS - Institute of Soil and Water Conservation
  • University of Chinese Academy of Sciences
  • Northwest Agriculture and Forestry University

Research output: Contribution to journal › Article › peer-review

89 Scopus citations

Abstract

Soil organic carbon (SOC) has great impacts on global warming, land degradation and food security. Classic statistical and geostatistical methods were used to characterize and compare the spatial heterogeneity of SOC and related factors, such as topography, soil type and land use, in the Liudaogou watershed on the Loess Plateau of North China. SOC concentrations followed a log-normal distribution with an arithmetic and geometric means of 23.4 and 21.3 g kg-1, respectively, were moderately variable (CV = 75.9%), and demonstrated a moderate spatial dependence according to the nugget ratio (34.7%). The experimental variogram of SOC was best-fitted by a spherical model, after the spatial outliers had been detected and subsequently eliminated. Lower SOC concentrations were associated with higher elevations. Warp soils and farmland had the highest SOC concentrations, while aeolian sand soil and shrublands had the lowest SOC values. The geostatistical characteristics of SOC for the different soil and land use types were different. These patterns were closely related to the spatial structure of topography, and soil and land use types.

Original languageEnglish
Pages (from-to)486-495
Number of pages10
JournalPedosphere
Volume19
Issue number4
DOIs
StatePublished - Aug 2009
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • geostatistics
  • land use
  • soil type
  • spatial pattern
  • topography

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