Peer‑reviewed articles introduce two Full Articles on technology‑driven biodiversity assessment—a Google Earth Engine–based habitat classification (“Google4Habitat”) and an automated, non‑invasive waterfowl detection framework using high‑resolution UAS imagery and machine learning—alongside a Short Article presenting the IPAM Toolbox 2.0 for conservation area planning and management. Short Notes showcase quick‑to‑apply field implementations: building a “digital forest twin” with action cameras, modernizing rock ptarmigan monitoring with acoustic sensors, and improving the accuracy of automatic visitor counting for cyclists in protected areas. Three Book Reviews round out the issue with critical updates to Carinthia’s Red Lists (flora and fauna) and a review of an IUCN WCPA framework for designing biodiversity monitoring programs, offering regional context and practical guidance for monitoring design.