What type of study is this?

This is a Quantitative Study study (also classified as: Experimental Study).

September 18, 2025Open Access

Passive acoustic monitoring and deep learning reveal spatiotemporal patterns in gibbon calling behaviour associated with habitat and climate variables

View Full Paper

Ask AI

Bookmark

Daily call rates of the Bornean gibbon varied significantly with rainfall but were consistent across forest types.
Over 83,000 great calls were identified from 23,244 hours of acoustic monitoring over 18 months.
Monitoring utilized deep learning techniques for precise identification, enhancing large-scale ecological studies.
Findings underscore the importance of ecological data for understanding species behaviors impacted by climate and habitat loss.

No takes yet. Share an insight, caveat, or question.

Analysis shows spatiotemporal changes in gibbon calling linked to habitat and rainfall, highlighting conservation needs.

Owens et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark