Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

The emerging application of partial least squares structural equation modelling in ecological research: An introductory overview

Oluwafemi Adewole Adeyeye, Abdelrahman M Hassaan, Muhammad Waqas Yonas, Achivir Stella Yawe, Amechi S. Nwankwegu, Guanglang Yang, Xuexing Yao, Zenghui Song, Yemei Kong, Guoxin Bai, Lei Zhang

Environmental Modelling & Software · 2026

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Summary

This paper presents an introductory overview of partial least squares structural equation modelling (PLS-SEM) as an emerging analytical approach in ecological research. As suggested by the title and journal scope, it likely addresses methodological foundations and practical applications of PLS-SEM for analysing complex relationships in ecological systems. The work appears positioned to guide researchers in adopting this statistical technique for farm and soil ecology studies.

UK applicability

This methodology paper would be applicable to UK researchers developing analytical frameworks for farm systems and soil health studies. However, applicability depends on whether the review includes case studies or examples relevant to temperate agricultural contexts.

Key measures

Methodological framework and application guidance for PLS-SEM in ecology; specific ecological applications not specified in title

Outcomes reported

This paper provides an introductory overview of partial least squares structural equation modelling (PLS-SEM) and its emerging applications in ecological research. The work appears to guide researchers on methodological approaches for complex ecological data analysis.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1016/j.envsoft.2026.106988
Catalogue ID
SNmoqqsqj6-tfbidf

Topic tags

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