Establishment of the minimum data set for cultivated-layer quality
assessment and its verification: A case study of sloping farmland in a
purple hilly area, China
Abstract
Sloping farmland is an important cultivated land resource and erosion
source. Cultivated-layer quality directly affects the soil productivity
and erosion resistance of sloping farmland. We aim to select the most
effective soil property index to construct a minimum data set (MDS) and
use two methods (the weighted additive cultivated-layer quality index
(CLQIW) and Nemoro cultivated-layer quality index (CLQIN)) to accurately
evaluate the cultivated-layer quality of sloping farmland in purple
hilly areas. The total data set (TDS) of 12 soil indexes was screened by
principal component analysis (PCA) and correlation analysis, and a MDS
was constructed to assess the CLQIW and CLQIN. The results showed that
(1) the cultivated-layer soil quality of the MDS comprises
cultivated-layer thickness, soil bulk density, saturated hydraulic
conductivity, sand, clay, shear strength and soil organic matter. The
MDS can accurately reflect the effective soil information (RW2=0.7524,
RN2=0.8059) and can replace the TDS in cultivated-layer evaluation. (2)
CLQIN-MDS has a higher Ef and lower ER than CLQIW-MDS does, so CLQIN-MDS
is better for evaluating the cultivated-layer quality of purple soil of
sloping farmland. (3) For the two evaluation methods, the quality
classifications of the two small watersheds have similar trends, with
most plots in grades II~III (approximately 90%). (4)
The main obstacles of the two small watersheds are poor nutrients and
low soil shear strength, which can be reasonably controlled by
subsoiling combined with biochar. These results can facilitate the
construction of reasonable cultivated-layers and improvements in the
cultivated-layer soil quality of sloping farmland.