A Process-Based Model with Temperature, Water, and Lab-derived Data Improves Predictions of Daily Mosquito Density
D. P. Shutt, D. W. Goodsman, Z. J. L. Hemez, J. R. Conrad, C. Xu, D. Osthus, C. Russell, J. M. Hyman, C. A. Manore
The paper develops a process-based mosquito population model that improves yearly population predictions by integrating temperature, water, and lab-derived data.
bioRxiv · Sep 8, 2021 · PreprintEcology