scholarly journals Characterizing Humic Substances from Native Halophyte Soils by Fluorescence Spectroscopy Combined with Parallel Factor Analysis and Canonical Correlation Analysis

2020 ◽  
Vol 12 (23) ◽  
pp. 9787
Author(s):  
Dongping Liu ◽  
Huibin Yu ◽  
Fang Yang ◽  
Li Liu ◽  
Hongjie Gao ◽  
...  

Soil is one of the principal substrates of human life and can serve as a reservoir of water and nutrients. Humic substances, indicators of soil fertility, are dominant in soil organic matter. However, soil degradation has been occurring all over the world, usually by soil salinization. Sustainable soil productivity has become an urgent problem to be solved. In this study, fluorescence excitation-emission matrices integrated with parallel factor analysis (PARAFAC) and canonical correlation analysis (CCA) were applied to characterize the components of fulvic acid (FA) and humic acid (HA) substances extracted from soils from the Liaohe River Delta, China. Along the saline gradient, soil samples with four disparate depths were gathered from four aboriginal halophyte communities, i.e., the Suaeda salsa Community (SSC), Chenopodium album Community (CAC), Phragmites australis Community (PAC), and Artemisia selengensis Community (ASC). Six components (C1 to C6) were identified in the FA and HA substances. The FA dominant fractions accounted for an average of 45.81% of the samples, whereas the HA dominant fractions accounted for an average of 42.72%. Mature levels of the HA fractions were higher than those of the FA fractions, so was the condensation degree, microbial activity, and humification degree of the FA fractions. C1 was associated with the ultraviolet FA, C2 was referred to as visible FA, C3 and C4 were relative to ultraviolet HA, C5 represented microbial humic-like substances (MH), and C6 referred to visible HA. C1, C2, C5 and C6 were latent factors of the FA fractions, determined using the CCA method and could possibly be used to differentiate among the SSC, CAC, PAC and ASC samples. C3, C4, C6 and C5 were latent factors of the HA fractions, which might be able to distinguish the ASC samples from the SSC, CAC and PAC samples. Fluorescence spectroscopy combined with the PARAFAC and CCA is a practical technique that is applied to assess the humic substance content of salinized soils.

2019 ◽  
Vol 8 (4) ◽  
pp. 267
Author(s):  
NI PUTU JULIANINGSIH ◽  
EKA N KENCANA ◽  
KOMANG GDE SUKARSA

The purpose of this study is to know the relationship between soft skills and learning achievement using canonical correlation analysis and to find out the dominant dimensions of soft skills and learning achievement using confirmatory factor analysis. The data used are primary data obtained by distributing questionnaires. The sampling technique used was proportional to size sampling with the number of respondents as many as 150 respondents. The results of the study with canonical correlation analysis showed that soft skills with learning achievement had a close relationship with canonical correlation values ??of 0.70397. The results of the study with confirmatory factor analysis showed that the dominant dimensions of soft skills and learning achievement were flexibility with the percentage of the variance of 69.081% and cognitive percentage of the variance of 71.706%.


2005 ◽  
Vol 77 (7) ◽  
pp. 2210-2217 ◽  
Author(s):  
Jan H. Christensen ◽  
Asger B. Hansen ◽  
John Mortensen ◽  
Ole Andersen

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