{
  "id": 8257835,
  "title": "sabinaMBM: An R package for Multiscale Bayesian species distribution Modelling using INLA",
  "url": "https://urgent.news/2026/09/18/sabinambm-an-r-package-for-multiscale-bayesian-species-distribution",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-18T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.17.752384v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "1. Regional species distribution models (SDM) calibrated over spatially restricted extents tend to truncate species' ecological niches. Existing nested SDM workflows integrate multi-scale information through sequential combination, which limits formal uncertainty propagation across scales and prevents regional predictions from being explicitly constrained within globally-informed niche…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}