Geospatial AI Innovations for Effective Biodiversity and Ecosystem Management

Geospatial AI is transforming biodiversity conservation and ecosystem management by enabling the analysis of complex, heterogeneous spatial datasets. This chapter explores applications including species distribution modeling, habitat mapping, real-time ecosystem monitoring via IoT sensors, predictive scenario modeling, and decision-support systems. Case studies highlight improved conservation outcomes, optimized resource allocation, and strengthened stakeholder engagement. Challenges such as data quality, algorithmic bias, technical constraints, and ethical considerations are discussed. The chapter emphasizes interdisciplinary collaboration, sustainable technology adoption, and responsible AI use to support adaptive, effective, and socially inclusive ecosystem management strategies.