Biocultural Overlap Explorer

Map of biodiversity hotspots and endangered language zones, paired with a cascading extinction model.

Biocultural risk atlas

Where ecological loss and language endangerment converge

This prototype combines a world map with a conceptual timeline so you can present biodiversity hotspots alongside endangered language concentration zones. It is designed as an advocacy-focused interactive rather than a GIS-grade scientific atlas.

36recognized biodiversity hotspots used as the framing model
3,202languages identified inside hotspot regions in the PNAS overlap analysis
~2,500endangered languages covered in UNESCO’s atlas tradition

Interactive map

Toggle hotspot envelopes, endangered language clusters, and overlap markers. Use the intensity slider to scale cluster emphasis for presentation screenshots.

Reading modeGlobal
Focus logicCombined hotspot and language risk
Presentation noteIllustrative synthesis for storytelling

Two-stage extinction process

Biological decline often arrives first, while cultural and linguistic continuity can persist for a time before transmission collapses.

Hover the milestones to inspect the sequence from ecological erosion to social rupture.
Integrity Time Stage 1: Biological extinction pressure Stage 2: Societal and linguistic erosion Ecological disruption Biodiversity loss Social adaptation Knowledge weakening Language endangerment

Evidence anchors

The wording in this prototype is based on established hotspot and endangered-language framing from conservation and UNESCO-linked sources.

Built-in source notes
  • Conservation International describes 36 biodiversity hotspots and defines them by endemism plus severe habitat loss.
  • The 2012 PNAS overlap analysis reports 3,202 languages within biodiversity hotspots and highlights East Melanesian Islands, Guinean Forests of West Africa, Indo-Burma, Mesoamerica, and Wallacea as especially language-rich.
  • UNESCO’s atlas tradition covers roughly 2,500 endangered languages and uses interactive mapping to track vitality patterns.

This HTML is intentionally self-contained, so the map uses curated regional envelopes and cluster points rather than live GIS feeds.