Appendix S1.docx

مواد مشابهة

• Save the Bees: Long-Term Agricultural & Pollinator Dynamics Dataset (1980–2024)
  حسب: David Petersen (22743479)
  منشور في: (2025)
• Empirical semivariogram of residuals from baseline model using 2018–2019 training data. Bin width is 1 km.
  حسب: Laura Boehm Vock (22008756)
  منشور في: (2025)
• Predicted <i>Varroa</i> intensity and daily <i>Varroa</i> growth rate from multiple regression model with spatial component. Values are estimated for an apiary density of 5 apiaries within 5 km (the median value). May 1 intensity is the mean <i>Varroa</i> intensity (mites per 300 bees) predicted for May 1; Growth rate is the daily growth rate of <i>Varroa</i> as a multiplicative factor; Growth % is the daily growth rate of <i>Varroa</i> as percent change (0–100).
  حسب: Laura Boehm Vock (22008756)
  منشور في: (2025)
• Predicted <i>Varroa</i> intensity and daily <i>Varroa</i> growth rate from multiple regression model (with spatial component) assuming “Monitor + Treat” management strategy and “Supplemental feeding.” Values are estimated for varying apiary density, from 0 to 60 apiaries within a 5 km radius. May 1 intensity is the mean <i>Varroa</i> intensity (mites per 300 bees) predicted for May 1; Growth rate is the daily growth rate of <i>Varroa</i> as a multiplicative factor; Growth % is the daily growth rate of <i>Varroa</i> as percent change (0–100).
  حسب: Laura Boehm Vock (22008756)
  منشور في: (2025)
• Comparison of models predicting <i>Varroa</i> intensity, without spatial component. For each variable, we fit an additive model and interaction with time; the model preferred by AIC is presented here. This table includes the results of the additive model for Floral quality, Insecticide, and Nesting quality. The remaining models include the indicated variables and interaction with time. Statistics presented are: Akaike Information Criterion (AIC), % of Deviance explained (a metric similar to but more appropriate for negative binomial regression), Relative Error (RelErr = Mean(), Mean Absolute Error (MAE = Mean()). Relative error is computed relative to the baseline non-spatial model (time only). The best model for each statistic is bolded. There is no clear winner among the models for all criteria, however all the highlighted models include Management as a variable.
  حسب: Laura Boehm Vock (22008756)
  منشور في: (2025)