Modelling the three-dimensional spatial distribution of soil organic carbon (SOC) at the regional scale (Flanders, Belgium)

被引:89
|
作者
Meersmans, J. [1 ]
van Wesemael, B. [1 ]
De Ridder, F. [2 ]
Van Molle, M. [3 ]
机构
[1] Catholic Univ Louvain, Dept Geog, B-1347 Louvain, Belgium
[2] Vlaamse Instelling Technol Onderzoek, Energy Technol, B-2400 Mol, Belgium
[3] Vrije Univ Brussels, Dept Geog, B-1050 Brussels, Belgium
关键词
Soil organic carbon; Depth; Vertical distribution; Land use; Soil type; Belgium; VERTICAL-DISTRIBUTION; PHYSICAL PROTECTION; LANDSCAPE UNITS; MATTER DYNAMICS; DEEP SOIL; STOCKS; NITROGEN; INDICATORS; VEGETATION; TILLAGE;
D O I
10.1016/j.geoderma.2009.05.015
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
The rate of exchange of CO(2) between the soil and the atmosphere depends on the stability of the organic carbon stored in the soil. Recent studies show that carbon stored in the subsoil is characterised by larger turnover times than the carbon stored in the topsoil. Consequently, identification of the depth at which high/low amounts of SOC are stored is essential for applying sustainable management of the soil in the light of global warming and related threats. This study investigates the depth distribution of SOC in relation to land use and soil type based on a large dataset for Flanders (Belgium). Soil type determines the SOC content along the entire profile. On the contrary, land use appears to have a strong influence on SOC content in the top layers of the profile, but doesn't play a significant role at the bottom of the profile (> 1 m depth). SOC content near the surface of the profile is remarkably higher in fine (clay) textured soils than in coarse (sand) textured soils and tends to increase by increasing soil wetness under sand and silt textured soils. SOC at the bottom of the profile increases as well by increasing soil wetness, but only in fine (clay and silt) textured soils. The rate of decline of SOC content with depth depends on texture and land use. Under forest this decline is remarkably fast, although less so in the more sandy soil types. The overall model predicts the distribution of SOC density by depth using land use and soil type information and allows in its integrated form the estimation of SOC stocks that can be represented on SOC maps until a reference depth free of choice. Applying this model, based on a three-dimensional spatial distribution approach, the total amount of SOC stored in Flanders is calculated at 62.20 +/- 0.72 Mt C for the top 0.3 m and 103.19 +/- 1.27 Mt C for the top 1 m. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:43 / 52
页数:10
相关论文
共 50 条
  • [41] Spatial distribution of soil organic carbon concentrations in grassland of Ireland
    McGrath, D
    Zhang, CS
    APPLIED GEOCHEMISTRY, 2003, 18 (10) : 1629 - 1639
  • [42] Estimating and analyzing the spatial distribution of soil organic carbon in China
    Zhou, CH
    Zhou, QM
    Wang, SQ
    AMBIO, 2003, 32 (01) : 6 - 12
  • [43] Spatial Distribution and Evaluation of Heavy Metal Pollution in Soil Based on Three-Dimensional Model and Kriging Interpolation
    Liu B.
    Zhang Y.
    Yao J.
    Su J.
    American Journal of Biochemistry and Biotechnology, 2022, 18 (02): : 224 - 237
  • [44] Three-Dimensional Spatial Distribution and Influential Factors of Soil Total Nitrogen in a Coal Mining Subsidence Area
    Zhang, Huijuan
    Liu, Wenkai
    Zhang, Qiuxia
    Huang, Xiaodong
    SUSTAINABILITY, 2022, 14 (13)
  • [45] Predicting spatial distribution of soil organic matter using regression approaches at the regional scale (Eastern Azerbaijan, Iran)
    Golnaz Ebrahimzadeh
    Nafiseh Yaghmaeian Mahabadi
    Kamal Khosravi Aqdam
    Farrokh Asadzadeh
    Environmental Monitoring and Assessment, 2021, 193
  • [46] Predicting spatial distribution of soil organic matter using regression approaches at the regional scale (Eastern Azerbaijan, Iran)
    Ebrahimzadeh, Golnaz
    Mahabadi, Nafiseh Yaghmaeian
    Aqdam, Kamal Khosravi
    Asadzadeh, Farrokh
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2021, 193 (09)
  • [47] Regional-scale Identification of Three-dimensional Pattern of Vegetation Landscapes
    SUN Ranhao
    ZHANG Baiping
    CHEN Liding
    Chinese Geographical Science, 2014, (01) : 104 - 112
  • [48] Regional-scale identification of three-dimensional pattern of vegetation landscapes
    Sun Ranhao
    Zhang Baiping
    Chen Liding
    CHINESE GEOGRAPHICAL SCIENCE, 2014, 24 (01) : 104 - 112
  • [49] Regional-scale Identification of Three-dimensional Pattern of Vegetation Landscapes
    SUN Ranhao
    ZHANG Baiping
    CHEN Liding
    Chinese Geographical Science, 2014, 24 (01) : 104 - 112
  • [50] Regional-scale identification of three-dimensional pattern of vegetation landscapes
    Ranhao Sun
    Baiping Zhang
    Liding Chen
    Chinese Geographical Science, 2014, 24 : 104 - 112