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Significant drivers of forest trends (0: no forest loss, 1: forest loss) modelled using general linear models with logit link functions.

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NIAID Data Ecosystem2026-03-07 收录
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https://figshare.com/articles/dataset/_Significant_drivers_of_forest_trends_0_no_forest_loss_1_forest_loss_modelled_using_general_linear_models_with_logit_link_functions_/285941
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Numbers in brackets give the mean and standard error of the coefficient; associated P values are given at *P<0.05, **P<0.01, ***P<0.001). We computed deforestation models for East Africa (Model 1) and for a subset of the study area (Model 2) because geographic data on the spatial location of towns and roads were available for the countries listed in Model 2 only [58]. ‘Protection Status’ is treated as categorical variable with the terms: Game Parks, Not Protected, National Parks, Nature Reserves, Other Protection). A subsequent Wald Chi-Squared test indicates that the overall effect of Protection Status is statistically significant (P<0.0001). Abbreviations: likelihood ratio (LR), McFadden’s pseudo R2 (Pseudo-R), Akaike Information Criterion (AIC) and significance of model (P).
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2012-06-29
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