Discoveries and novel insights in ecology using structural equation modeling

Ecology and Evolution
By:  and 

Links

Abstract

As we enter the era of data science (Lortie 2018), quantitative analysis methodologies are proliferating rapidly, leaving ecologists with the task of choosing among many alternatives. The use of structural equation modeling (SEM) by ecologists has increased in recent years, prompting us to ask users a number of questions about their experience with the methodology. Responses indicate an enthusiastic endorsement of SEM. Two major elements of respondent’s experiences seem to contribute to their positive response, (1) a sense that they are obtaining more accurate explanatory understanding through the use of SEM and (2) excitement generated by the discovery of novel insights into their systems. We elaborate here on the detection of indirect effects, offsetting effects, and suppressed effects, and demonstrate how discovering these effects can advance ecology.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Discoveries and novel insights in ecology using structural equation modeling
Series title Ecology and Evolution
DOI 10.24908/iee.2019.12.5.c
Volume 12
Year Published 2019
Language English
Publisher Queens University
Contributing office(s) Wetland and Aquatic Research Center
Description 7 p.
First page 28
Last page 34