Dispersal and connectivity in increasingly extreme climatic conditions

While climate change has been shown to impact several life-history traits of wild-living animal populations, little is known about its effects on dispersal and connectivity.
Here, we capitalize on the highly variable flooding regime of the Okavango Delta to investigate impacts of changing environmental conditions on dispersal and connectivity of the endangered African wild dog (Lycaon pictus). Based on remote sensed flood extents observed over 20 years, we derive two extreme flood scenarios: a minimum and a maximum flood extent; representative of very dry and very wet environmental periods. These conditions are akin to those anticipated under increased climatic variability, as it is expected under climate change. Using a movement model parametrized with GPS data from dispersing individuals, we simulate 12,000 individual dispersal trajectories across the ecosystem under both scenarios and investigate patterns of connectivity.
Across the entire ecosystem, surface water coverage during max..., , , # Data from: Dispersal and connectivity in increasingly extreme climatic conditions

[https://doi.org/10.5061/dryad.z34tmpgnm](https://doi.org/10.5061/dryad.z34tmpgnm)

This repository contains all `R`-code and data to reproduce the analyses and visualizations from Hofmann et al., 2024. It is recommended to explore the data through the provided `R`-Scripts. A general design principle was to compartmentalize all analyses and simulations to reduce computational requirements. As such, there are often parent files (in `.rds` format) that provide overviews and bundle further data files as `tidyverse` data-tibbles. All `R`-codes are extensively documented, giving detailed insights into the processing and analytical steps.

## Description of the File Structure

The file structure of the repository is as follows:

```bash
├── 02_R-Scripts
│   ├── 00_Functions.cpp # Custom C++ functions
│   ├── 00_Functions.R # Custom R functions
│   ├── 01...