The effect of collinearity between observed and model derived training variables on estuarine algal species distribution models

The effect of collinearity between observed and model derived training variables on estuarine algal species distribution models

Forecasts of organism distributions in time and space are needed to mitigate risks associated with changes in environmental conditions. These forecasts are often generated using correlative species distribution models (SDMs) that relate environmental variables to species presence or abundance. Biolo...

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Bibliographic Details
Main Authors: Dante M.L. Horemans, Jennifer C. Lin, Marjorie A.M. Friedrichs, Pierre St-Laurent, Raleigh R. Hood, Christopher W. Brown
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Species distribution modeling
Collinearity
Statistical training
Generalized linear models
Regression trees
Harmful algal bloom
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002341
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