# Ecological‐Linguistic Overlap: The Spatial Congruence Between Giant Panda (Ailuropoda melanoleuca) Habitats and Southwestern Mandarin

## TL;DR

This study shows that giant pandas in China are mostly found in areas where Southwestern Mandarin is spoken, suggesting a link between language and conservation.

## Contribution

The paper introduces the use of linguistic maps as a novel tool for conservation planning.

## Key findings

- 93.62% of wild pandas live in counties where Southwestern Mandarin is the main dialect.
- Spatial analysis confirmed a strong and statistically significant congruence between panda habitats and the dialect's distribution.
- Most giant panda fossils are clustered in these linguistic zones, supporting the ecological-linguistic overlap.

## Abstract

This study demonstrates significant ecological‐linguistic overlap between the distribution of the giant panda (
Ailuropoda melanoleuca
) and Southwestern Mandarin in China. Analysis of data from China's 4th National Giant Panda Survey reveals that 1745 of the 1864 recorded wild individuals (93.62%) reside in counties where Southwestern Mandarin is the predominant dialect. Spatial analysis confirmed a strong and statistically significant congruence (Schoener's D = 0.92, p = 0.04). Paleontological records further indicate that approximately 80%–90% of giant panda fossils are clustered within these linguistic zones. This ecological‐linguistic overlap may be attributed to shared environmental drivers and bamboo's dual ecological‐cultural role, providing a regional‐scale empirical case consistent with the core tenets of the ecological risk hypothesis. Our findings highlight the potential of linguistic maps as a supplementary layer of information for identifying conservation priorities.

Our analysis reveals a significant spatial congruence between the distribution of giant pandas and Southwestern Mandarin in China. Based on the national census, 93.62% of wild pandas reside in counties where this dialect predominates, a pattern supported by strong statistical evidence (Schoener's D = 0.92). This ecological‐linguistic overlap underscores the role of shared environmental drivers and suggests linguistic maps could serve as a novel tool for informing conservation planning.