ORIGINAL RESEARCH
Spatial Variability of Soil Phosphorus
and Potassium and Its Influencing Factors
in the Fragile Red Beds Ecosystem
in Southern China
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1
School of Civil Engineering, Sun Yat-sen University, Guangzhou, China
2
Guangdong Key Laboratory of Oceanic Civil Engineering, Guangzhou, China
3
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
4
CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied
Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
Submission date: 2020-12-31
Final revision date: 2021-04-13
Acceptance date: 2021-04-15
Online publication date: 2021-09-01
Publication date: 2021-10-01
Corresponding author
Kairong Lin
School of Civil Engineering, Sun Yat-sen University, No. 135, Xingang Xi Road, 510275, Guangzhou, China
Pol. J. Environ. Stud. 2021;30(6):5307-5315
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ABSTRACT
Soil phosphorus (P) and potassium (K) nutrients are the basis of maintaining the ecosystem
function of red beds landform area. Topography is one of the main influencing factors of soil P and K
nutrients contents. This study focuses on the soil of typical red beds landform in southern China. The
semi variogram model of soil P and K nutrients was established by geostatistics and GIS technology.
Moran's I coefficient was used to analyze the spatial autocorrelation of soil P and K nutrients. The
spatial distribution characteristics of soil P and K nutrients were studied by the interpolation method,
and the correlations between soil P, K nutrients and terrain factors (elevation, slope and aspect) were
discussed. The results showed that: (1) the soil total phosphorus (TP) content was relatively high,
the soil available potassium (AK) content was at a medium level, the soil TP and soil available
phosphorus (AP) content were relatively low, and the variation coefficient in decreasing order was AP
(36.39%)>AK (28.43%)>TP (28.23%)>total potassium (TK) (24.33%). (2) The content of soil P and K
in the southwest of the study area was higher than other areas, the lowest value in the grassland
and the middle value in the red bed bare land. (3) The soil TP, TK, AP, AK showed strong spatial
autocorrelation, Moran's I coefficients of soil P and K were all positive, following spatial agglomeration
distribution. Moran's I coefficients in decreasing order was AK (0.2174)>TP (0.2000)>AP (0.1897)>TK
(0.1665), respectively. (4) The correlation analysis of soil P, K nutrients and terrain factors showed
that soil TP, TK, AP, AK nutrients and terrain factors (elevation, aspect) had extremely significant
positive correlations (P<0.01), in particular, soil AK has a significant positive correlation with elevation (P<0.01), and the correlation coefficient is 0.901. The results are of great practical significance to soil
management and ecological environment management in the red bed area.