# Global biodiversity models exhibit low predictive accuracy on local scales

Source: [nature.com](https://www.nature.com/articles/s41559-026-03205-z) · 2026-11-10 · Life
Page: https://themorning.science/story/global-biodiversity-models-exhibit-low-predictive-accuracy-on-local-scales-b0df733db19c6192
Kind: research · Impact: medium

## In brief

- Two articles published online on 10 November 2026 in Nature Ecology & Evolution evaluate global biodiversity models.
- The sources report that correlative global biodiversity models have low extrapolation performance, so their local-scale predictions are less reliable.
- An evaluation of global pressure-response models finds that ecologically structured models have higher interpolation accuracy than study-centric ones.

## Why it matters

Local biodiversity predictions from global correlative models may be less accurate than they appear, so their results call for cautious interpretation and additional data.

## What to do

- Interpret global correlative biodiversity model projections cautiously at local scales
- Collect additional data to support local-scale biodiversity predictions
- Use multimodel projections rather than a single global model

## Timeline

- 2026-11-10: Two articles on global biodiversity model evaluation published online in Nature Ecology & Evolution

## Coverage

- [Extrapolation challenges in global biodiversity modelling](https://www.nature.com/articles/s41559-026-03210-2) — nature.com, 2026-11-10
- [Global biodiversity models exhibit low predictive accuracy on local scales](https://www.nature.com/articles/s41559-026-03205-z) — nature.com, 2026-11-10

Tags: biodiversity, ecological modelling, extrapolation, global models, local scale

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science