Damon B. Lesmeister

Using spatial prioritization to navigate current and future tradeoffs when controlling invaders

This study uses spatial prioritization to compare current and future threats of invasive barred owls on native species, finding that prioritizing future threats can better protect at-risk communities but may face implementation challenges.

Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2025 Annual Report

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.

Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2024 Annual Report

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.

Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2023 Annual Report

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.

A Convolutional Neural Network and R-Shiny App for Automated Identification and Classification of Animal Sounds

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