Implementation of Dynamic SDMs

This section outlines the methodology and processes employed to develop and implement dynamic species distribution models (SDMs). It covers data preprocessing, integration of temporal and spatial environmental variables, selection of modeling algorithms, and the incorporation of temporal variability to predict species distributions over time. The focus is on dynamically linking habitat suitability with changing environmental conditions to produce time series predictions and assess temporal trends in species distribution.