[Multi-scale correlation analysis of soil organic carbon with its influence factors using wavelet transform].
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 Province. 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.
Chun
C
Jiang
Le-Xiang
LX
Qian
Zhi-Feng
ZF
Wu
Ya
Y
Wen
Nan-Rong
NR
Deng
D002244:Carbon / Q000032:analysis*; D009930:Organic Chemicals / Q000032:analysis; D012987:Soil / Q000737:chemistry*; D058067:Wavelet Analysis
D009930:Organic Chemicals; D012987:Soil; D002244:Carbon