Core Concepts
Efficient citizen data collection enhances biodiversity monitoring and species distribution modeling.
Abstract
Abstract:
Ecosystem services rely on biodiversity.
Human activities threaten biodiversity and ecosystem services.
The Kunming-Montreal Global Biodiversity Framework requires comprehensive data.
The 'Biome' app in Japan collects species observations using algorithms and gamification.
Biome data quality influences species distribution models (SDMs).
Accuracy varies across different species groups.
Incorporating Biome data improves SDM accuracy, especially for endangered species.
Competing Interest Statement:
Authors disclose affiliations and patents related to the app's technology.
Footnotes:
Acknowledgments for significant contributions.
Stats
"The app has gathered >6M observations since its launch in 2019."
"Species identification accuracy exceeds 95% for birds, reptiles, mammals, and amphibians."
"Seed plants, molluscs, and fishes scored below 90%."