arrow
Return

Assessing marine ecosystem risks through unsupervised methods

delete2025-07-26
delete0
delete
OA
AI
L
Laura Pavirani
P
Pasquale Bove
G
Gianpaolo Coro *
DOI:10.1016/j.ecoinf.2025.103334delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
• Ecosystem risk assessment in the Mediterranean due to multiple stressor concurrency. • Comparison of 6 unsupervised methods for marine ecosystem risk assessment. • Four cluster analysis techniques and two machine learning models compared. • Conservative versus precautionary model tendencies highlighted. • Prior risk assessment valuable for Ecosystem Models and Marine Spatial Planning.
Keywords:
Risk assessment
Cluster analysis
Machine learning models
Marine ecosystems
Comparative analysis
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Ecological Informatics cover
Ecological Informatics
IF:
7.3
Papers:
3.7K
Citations:
1.3W

Organization

No organization information available