Resources for: Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts

Aim: Climate change and habitat loss or degradation are some of the greatest threats that species face today, often resulting in range shifts. Species traits have been discussed as important predictors of range shifts, with the identification of general trends being of great interest for conservation efforts. However, studies reviewing relationships between traits and range shifts have questioned the existence of such generalized trends, due to mixed results and weak correlations, as well as analytical shortcomings. The aim of this study was to test this relationship empirically, using analytical approaches that account for common sources of bias when assessing range trends.Location: Tanzania, East Africa.Time period: 1980-1999 and 2000-2020.Major taxa studied: 57 savannah specialist birds found in Tanzania, belonging to 26 families and 11 orders.Methods: We applied recently developed integrated spatio-temporal species distribution models in R-INLA, combining citizen science and bird at..., , , # Resources for: Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts

## Overview

This repository is supporting information for the manuscript: Wiethase, J. H., Mostert, P.S., Cooney, C., O'Hara, R.B. & Beale, C. M. Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts. The scripts cover the entire workflow from data preparation to model building, sensitivity analysis, result extraction, regression analysis, and visualization. Also included are the required model data, model output as a .csv file, output figures, and supporting source files containing functions.

The species observation data were derived from the Tanzania Bird Atlas and eBird.

## Contents - scripts (folder `R`)

1. **`1_Make_SDM_general_data.R`**
* Prepares general data for the INLA Species Distribution Models (SDMs). Original species observation data wi...