scholarly journals Assessing Soil Acidification of Croplands in the Poyang Lake Basin of China from 2012 to 2018

2020 ◽  
Vol 12 (8) ◽  
pp. 3072 ◽  
Author(s):  
Xiaoyang Liu ◽  
Huading Shi ◽  
Zhongke Bai ◽  
Xiaocai Liu ◽  
Bing Yang ◽  
...  
Keyword(s):  
Soil Ph ◽  
Soil Acidification ◽  
Temporal Change ◽  
Poyang Lake ◽  
Distribution Patterns ◽  
Lake Basin ◽  
Ph Values ◽  
Poyang Lake Basin ◽  
Basin Scale ◽  
Spatio Temporal

Soil acidification, caused by intensified fertilizer application and acid deposition, has threatened the sustainability of agricultural ecosystems and soil quality in parts of China since the 1980s. However, little is known about the spatio-temporal change of soil pH in cropland at a large basin scale. Poyang Lake Basin of China was selected as the study area to identify the spatio-temporal change of cropland pH and detect potential soil acidification factors. A total of 507 and 503 topsoil samples were collected in 2012 and 2018, respectively, and methods including one-way analysis of variance (ANOVA), Pearson’s correlation analyses, and Inverse Distance Weighted (IDW) were applied. Results showed that soil pH ranged from 3.96 to 7.95 in 2012 and from 3.34 to 8.19 in 2018, with most samples being acidic (pH < 7) in both sets of data. The two soil datasets showed a significant decline (p < 0.05) of 0.1 pH units over the past six years and several soil samples that exhibited obvious uptrends in the groups of pH < 4.5 and 4.5–5.0 from 2012 to 2018. Overall, the distribution patterns of pH at the two sampling dates were similar, whereas local details of the pH spatial distribution patterns differed. While we found a significant correlation (p < 0.05) between soil pH and aspect, elevation and slope showed no significant correlation with pH. ANOVA showed that pH values in the water density (river or lake network density) range of 6.27–19.94 were significantly higher (p < 0.05) than the other water densities. Large amounts of precipitation with low pH values were found to significantly influence soil pH, whereas N-fertilizer inputs exerted limited effects on soil pH over the entire study area. These findings provided new insights on soil acidification assessment and potential factor detection at the basin scale.

scholarly journals Spatial-temporal variability of the fluctuation of water level in Poyang Lake basin, China

2018 ◽  
Vol 10 (1) ◽  
pp. 940-953 ◽  
Author(s):  
Lixin Ning ◽  
Yunkai Zhou ◽  
Jing Yang ◽  
Changxiu Cheng ◽  
Changqing Song ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Permutation Entropy ◽  
Lake Basin ◽  
Hydrological Process ◽  
Spring Precipitation ◽  
Poyang Lake Basin ◽  
Basin Scale ◽  
Catchment Size ◽  
Deviation Coefficient

Abstract Poyang Lake basin is one of the most biodiversity areas in China. Fluctuation of water level is an important factor of hydrological process which is a guarantee of ecosystem health and biodiversity conservation. To measure its spatial-temporal variation, classical statistical methods and permutation entropy were employed: 1) Variation of water level downstream of Poyang Lake during one year follows a periodical pattern, while it is random in upper reaches. That is, the range of water level in upper reaches is much less than that in downstream. 2) Fluctuation of water level in winter and spring is more complicated, more irregular and more random than that in other seasons. This is because in winter and spring, precipitation directly causes rising in water level rather than generating surface runoff, while it is reversed in summer. 3) The ranges, standard deviation, coefficient of variation and fluctuation of water level decrease with rising in elevation. 4) In sub-basin scale, fluctuation of water level in upper reaches is more complicated than that in downstream, e specially along one river. Mechanically, catchment size and confluence process may be the main factors influencing fluctuation of water level over Poyang Lake basin.

Sign in / Sign up

Export Citation Format

Share Document