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Multi-scale correlation analysis of soil organic carbon with its influence factors using wavelet transform.

JIANG Chun1,2,3,4, QIAN Le-xiang1, WU Zhi-feng1, WEN Ya5, DENG Nan-rong3   

  1. (1School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China; 2Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; 3Guangdong Institute of Ecoenvironment and Soil Sciences, Guangzhou 510650, China; 4University of Chinese Academy of Sciences, Beijing 100049, China; 5College of Informatics, South China Agricultural University, Guangzhou 510642, China)
  • Online:2013-12-18 Published:2013-12-18

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Abstract: Based on GIS, this paper chose the soil organic carbon (SOC) density in soil surface layer (0-20 cm) and its influence factors (NDVI, elevation, slope and aspect) as research objects, one-dimensional discrete wavelet transform (DWT) was used as the multiscale decomposition tool to quantitatively revealed the multiscale correlation relationships among SOC density and its influence factors on the grid scale along 4 transects of the mountainous area of Guangdong Pro-vince. The results showed that the correlation among SOC density and its influence factors was scale-dependent with varying degree. The influence of NDVI was strongest  at the scales of 2, 8 and 16 km, while elevation showed its greatest influence at the scales of 8 and 16 km. The control action of slope was rather weak, with a less significant correlation depending on scale. The negative effect of aspect became stronger with increasing scale at  >2 km scale. The SOC density of the different transects was affected by various factors, of which NDVI and elevation were the main factors, and slope and aspect only reacted with individual transects at larger scales.