Potential spatial mismatches between marine predators and their prey in the Southern Hemisphere in response to climate change

This repository contains various information related to the analysis of species distribution models conducted in this work. It includes the following scripts and datasets:

1. Scripts classified in the following folders:

1. Presences and Absences: Scripts for creating pseudo-absence points for each study area (other data is also included, e.g., bathymetry).

2. Environmental Data: Scripts for extracting, cleaning, and preparing environmental data for analysis.

3. Fitting: Scripts used to fit species distribution models, calculate the cutoff, and analyze spatial autocorrelation.

4. Predict: Scripts for making predictions based on the fitted models.

2. Datasets:

Occurrence Data: The datasets containing species occurrence records after cleaning.

Bas_etal_2025/1. Presences and absences/1. NZAU/CSV_ocurrences_NZAU/

Bas_etal_2025/1. Presences and absences/2. South_America/CSV_ocurrences_South_America/

Bas_etal_2025/1. Presences and absences/3. Southern_Africa/CSV_ocurrences_Southern_Africa/

Pseudo-absence Data: The datasets created after the generation of pseudo-absences for modeling species distributions.

Bas_etal_2025/1. Presences and absences/1. NZAU/CSV_pseudoabsences_NZAU/

Bas_etal_2025/1. Presences and absences/2. South_America/CSV_pseudoabsences_South_America/

Bas_etal_2025/1. Presences and absences/3. Southern_Africa/CSV_pseudoabsences_Southern_Africa/

Environmental Data: The datasets consisting of the extraction of the environmental variables for each occurrence and pseudo-absence.

Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/NZAU/

Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/South_America/

Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/Southern_Africa/

Note: NZAU or australiaNZ refer to Australia and New Zealand study area; Southern_Africa, southAfrica or SAf refer to Southern Africa study area; and South_America, southAmerica or SAm refer to South America study area. Species can be found in various ways, for example, Arctocephalus australis can be found as A. australis or AAUS (see Table 1 from the main work for all species included).

These materials are intended to facilitate the reproducibility of the analysis presented in the associated publication.