{
  "id": 15706228,
  "title": "Unsupervised source separation and clustering of soundscape recordings predicts avian richness in hyperdiverse systems",
  "url": "https://urgent.news/2026/10/19/unsupervised-source-separation-and-clustering-of-soundscape",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-19T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.13.758826v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "1: Passive Acoustic Monitoring (PAM) has emerged as a leading approach for biodiversity research, but analysing the vast quantities of data produced by this method remains challenging. Acoustic indices are often employed to estimate species richness in soundscape recordings, but their generalisability and overall efficacy in speciose regions has increasingly been challenged. An alternative,…",
  "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."
}