Peng, Xiaoming
Zhu, Dantong
Huang, Dong
Cheng, Xiangju
Funding for this research was provided by:
Open Research Fund Program of State key Laboratory of Hydroscience and Engineering (sklhse-2021-B-02)
Basic and Applied Basic Research Fund of Guangdong Province (2024A1515011047)
Science and Technology Innovation Program from Water resources of Guangdong Province (2023-06)
Article History
Accepted: 3 January 2025
First Online: 30 January 2025
Declarations
:
: The authors declare no competing interests.
: The research employs various statistical analysis methods, each grounded in specific scientific assumptions, as outlined below:(1) The lavaan package used for structural equation modeling is based on the following scientific assumptions and statistical principles: data normality hypothesis; causal linear relationship hypothesis; residual independence hypothesis; model correctness assumption; parameter uniqueness hypothesis; hypothesis of sample randomness and independence.(2) Pearson correlation analysis uses the following scientific assumptions: continuous variable hypothesis; data normality hypothesis; data linear relationship hypothesis; data independence assumption; the homoscedasticity hypothesis.(3) The SIMPER method relies on the following scientific assumptions and theoretical foundations: the similarity measure hypothesis; sample independence hypothesis; data normalization hypothesis; the explainability hypothesis of differences between groups; nonparametric method hypothesis; data additivity assumption.(4) The scientific assumptions underlying the RDA analysis method in vegan package are as follows: linear relationship hypothesis; data normality hypothesis; variance homogeneity hypothesis; non-multicollinearity hypothesis; sample independence hypothesis.