Maps and additional figures for climate change refugia hotspots for priority species: A case study in East Africa

Natural resource managers and policymakers need actionable climate data to guide conservation decisions. Conserving climate change refugia, areas relatively buffered from contemporary climate change, is increasingly considered an effective strategy for adaptation. Despite tropical species facing heightened vulnerability to climate change, the tropics remain underserved in climate adaptation research. We coproduced the first comprehensive assessment of climate change refugia across Tanzania with Tanzanian partners through extensive consultation, in-person conversations, and field visits to priority ecosystems, ensuring our analysis addressed local conservation needs and decision-making contexts. We developed species distribution models for 33 terrestrial animal species using maximum entropy and boosted regression tree algorithms. We projected future suitable habitats for SSP126 and SSP585, for 2011-2040 and 2071-2100, using GFDL Earth System and the U.K. Earth System models. More than ha..., , # Data from: Maps and additional figures for climate change refugia hotspots for priority species: A case study in East Africa

Dataset DOI: [10.5061/dryad.w3r228151](https://doi.org/10.5061/dryad.w3r228151)

## Description of the data and file structure

#### **Species information**

We acquired species occurrence data (Table S2) from the Global Biodiversity Information Facility (GBIF, [www.gbif.org](http://www.gbif.org); 2024) by searching for occurrences using the scientific name and crosschecking historical and alternative names against Mammal Species of the World, 3rd edition (Wilson & Reeder, 2005) and the Integrated Taxonomic Information System ([https://www.itis.gov/](https://www.itis.gov/)). TAWIRI contributed a dataset of mammal occurrences from their previous work, including data from camera traps and opportunistic encounters. Our analysis included 20,265 occurrence records across study species. (more details here SampleTable_ITIS_Habitat.csv)

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IUC...,