Multiple regression model coefficient estimates for mainland taxa (left) and duikers (right).

<p>Multiple regression models were created using a backwards stepwise approach with model of best fit evaluation based on AIC values. Independent predictor variables with the highest inclusion probability from each of the Bayesian predictive models (16 total–four interventions per market group) were included in the multiple regression analysis. Coefficient estimates for each model of best fit are displayed here.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-11-20
DOI
https://doi.org/10.1371/journal.pstr.0000139.s017
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Multiple regression model coefficient estimates for mainland taxa (left) and duikers (right).

Figshare
Mycorrhizal Fungi and Plant Interactions
article

Multiple regression model coefficient estimates for mainland taxa (left) and duikers (right).

article en

Abstract

<p>Multiple regression models were created using a backwards stepwise approach with model of best fit evaluation based on AIC values. Independent predictor variables with the highest inclusion probability from each of the Bayesian predictive models (16 total–four interventions per market group) were included in the multiple regression analysis. Coefficient estimates for each model of best fit are displayed here.</p> <p>(PDF)</p>

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Mycorrhizal Fungi and Plant Interactions
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Multiple regression model coefficient estimates for mainland taxa (left) and duikers (right). · Figshare (2024) | TGRS Research Map | TGRS