Code and Data for "Thermal baselines and climate-space geometry mediate systematic terrestrial biodiversity responses to warming"

Data Availability 🌐</p><p><br></p><p dir="ltr">**Biodiversity Data:**</p><p dir="ltr">The raw records used in this study are available from the **BioTIME 2.0 database** at:</p><p dir="ltr">👉 https://doi.org/10.1111/geb.70003</p><p><br></p><p dir="ltr">**Climate Data:**</p><p dir="ltr">* **CHELSA:** https://chelsa-climate.org/</p><p dir="ltr">* **CRU TS:** https://crudata.uea.ac.uk/cru/data/hrg/</p><p><br></p><p dir="ltr">**Analytical Code:**</p><p dir="ltr">All processed datasets and custom R code are archived at **Figshare** (DOI: Pending).</p><p><br></p><p>---</p><p><br></p><p dir="ltr">## 4.

Workflow (How to Reproduce)</p><p><br></p><p dir="ltr">To fully reproduce the findings, run the scripts in the following order:</p><p><br></p><p dir="ltr">1. **Step 1:** Run `01_Preprocess and rarefy data.R`. It automatically sources `FUNCTION calculate metrics.R`.</p><p dir="ltr">2. **Step 2:** Run `02_brmModel.R`. (

Note

Fitting Bayesian models is computationally intensive; pre-fitted objects are provided in `/Data`).</p><p dir="ltr">3. **Step 3:** Run the `03_...` series to output all figures directly to the `/Figure` folder.</p><p><br></p><p>---</p><p><br></p><p dir="ltr">## 5. Software Requirements 🛠️</p><p><br></p><p dir="ltr">The analysis was performed in **R (version 4.2.2)**. The following libraries are required:</p><p><br></p><p dir="ltr">```r</p><p dir="ltr"># Data Manipulation & Stats</p><p dir="ltr">library(tidyverse) # dplyr, ggplot2, tidyr</p><p dir="ltr">library(data.table) # Fast data loading</p><p dir="ltr">library(brms) # Bayesian modeling</p><p dir="ltr">library(vegan) # Ecological metrics</p><p><br></p><p dir="ltr"># Spatial & Visualization</p><p dir="ltr">library(dggridR) # Hexagonal gridding</p><p dir="ltr">library(wesanderson) # Color palettes</p><p dir="ltr">library(patchwork) # Multi-panel plots</p><p dir="ltr">library(ggdist) # Visualizing distributions</p>