# Predictive Framework Based on GBIF and WorldClim Data for Identifying Drought- and Cold-Tolerant Magnolia Species in China

## TL;DR

This study uses climate and plant data to identify Magnolia species in China that may be resistant to drought and cold, aiding conservation and research.

## Contribution

A new framework integrating geocoded specimens and climate data to screen drought- and cold-tolerant Magnolia species.

## Key findings

- 35 Magnolia species in China were mapped using 969 specimens and climate data.
- Nine species were identified as drought-resistant (PDQ < 60.5 mm) and nine as cold-tolerant (MTCM < 0.925 °C).
- The method provides preliminary candidates for further physiological validation and conservation planning.

## Abstract

This study developed a preliminary screening framework for identifying candidate Magnolia species potentially resistant to drought and cold conditions, using open access plant specimens and climate data. Based on 969 specimens, a distribution database was constructed to map 35 Magnolia species in China. Nonparametric variance analysis revealed significant interspecific differences in precipitation of the driest quarter (PDQ) and minimum temperature of the coldest month (MTCM). Using the updated climatic thresholds, nine candidate species each were identified as having drought resistance (PDQ < 60.5 mm) and cold tolerance (MTCM < 0.925 °C). In conclusion, the proposed method integrates geocoded specimen information with climate data, providing preliminary candidate species for future physiological validation, conservation planning, and further botanical research. However, the primary focus on climate data and lack of consideration of non-climatic factors warrant cautious interpretation of the results and comprehensive investigations for validation of the present study results.