Dataset for Marine Plankton Species Distribution Model Analysis

This repository contains datasets and scripts for bootstrap analysis of species distribution models (SDMs) using various algorithms, including GLM, GAM, RF, BRT, and ANN. The datasets include environmental and plankton biomass data for training and testing models under present and future scenarios. The scripts allow for model performance evaluation with multiple bootstrap samples. Key components include: Sampled Darwin model data based on the mapping data of the compiled datasets of global scope (env_tax_global), Tara Ocean datasets (env_tax_tara), AMT projects (env_tax_amt). In the random datasets, each data point's location and sampling time were randomly selected. The locations were uniformly sampled across the entire ocean, while the sampling times were randomly chosen within the time span corresponding to the original global and Tara datasets. The physical model used in the Darwin simulation is the MIT General Circulation Model (MITgcm), accessible at http://mitgcm.org. The generic ecosystem code is available at https://gitlab.com/jahn/gud, and detailed equations and documentation can be found at https://darwin3.readthedocs.io/en/latest/phys_pkgs/darwin.html.