Zachary J. Ruff

The paper reports on the 2025 Passive Acoustic Monitoring program under the Northwest Forest Plan, using machine learning to track owl and murrelet populations across federal lands.

This report details 2024 passive acoustic monitoring efforts under the Northwest Forest Plan, confirming low spotted owl occupancy and high barred owl occupancy, while advancing multi-taxa biodiversity monitoring.

The paper reports on 2023 passive acoustic monitoring in the Northwest Forest Plan area, using PNW-Cnet v5 to detect wildlife species and assess biodiversity trends.

The paper develops a convolutional neural network and R-Shiny app for automated animal sound classification, achieving improved performance for 14 forest species.