Structural Equation Modeling of the Marine Ecological System in Nanwan Bay Using SPSS Amos

Abstract

To ensure the sustainability of the marine environment, it is crucial to understand the intricate relationship between environmental factors and marine biota. Human activities have been recognized as significant contributors to profound changes in marine ecology. However, these observable alterations often represent a cumulative effect that intertwines with less apparent natural influences. This research delved into the relationships between environmental factors and marine life in the waters adjacent to Nanwan Bay, Kenting, Taiwan. Specifically, it examined the linear relationships and the degree of changes between environmental factors and marine life. To achieve these objectives, factor analysis was employed to uncover potential latent variables that could impact marine organisms, with these variables named based on previous studies and related literature. The findings led to the development of a structural equation model (SEM) to represent the marine ecology of Nanwan Bay. The results accentuated the significant influence of primary productivity and nutrient levels on the assemblage of marine life. The application of SEM methodology sheds more light on the degree of impact natural and anthropogenic interference have on marine ecosystems.

Dusung Agroforestry Systems on Ambon Island, Central Maluku, Indonesia: Sustainable Livelihoods, Land Property Rights, and Poverty Reduction

“…We used the partial least squares-structural equation model (PLS-SEM) to examine the associations among secure land property rights, plant productivity, livelihoods (household income), and poverty. The PLS-SEM model is employed for prediction modeling and used broadly in marketing, management (Richter et al, 2016;Hamid & Anwar, 2019), agriculture (Chakim et al, 2019), and marine ecological systems (Huang et al, 2023). This second-generation multivariate statistical procedure does not impose distribution assumptions on the data (Garson, 2016).…”

Decision-Making Mechanism of Farmers in Land Transfer Processes Based on Sustainable Livelihood Analysis Framework: A Study in Rural China

“…First, previous econometric models are mostly limited to single-factor analysis; SEM breaks this constraint and can analyze and measure multiple dependent variables and factor structures as a way to clarify the complex relationships among the factors [66,67]. Second, in the face of latent variables that are difficult to measure accurately with indicators, SEM models allow for a greater degree of measurement error and prevent sample bias due to constraints such as observation difficulty [68]. The application of the model can ensure scientific and precise analysis results.…”