SEABIRD ARU DATA ANALYSIS, Channel Islands NP

The National Park Service at Channel Islands National Park is seeking assistance with seabird acoustic monitoring services, specifically requiring a contractor to design inventory sensor deployment and analyze 500 Acoustic Recording Unit (ARU) detector months for monitoring crevice-nesting seabirds including Ashy Storm Petrels, Scripps's Murrelets, and Cassin's Auklets. The project involves developing machine learning models for target species detection, analyzing acoustic data collected from 2-25 SongMeter4 ARUs deployed across five park islands annually, and providing annual summary reports with recommendations to improve program efficiency. Key requirements include a Principal Investigator with minimum 10 years of seabird experience and expertise in ecological sampling design and seabird ecology. Evaluation will be based on price, technical approach, relevant experience (particularly with machine learning models and seabird monitoring), key personnel qualifications, and past performance. Following two amendments that extended the deadline, quotations must be submitted electronically by August 8, 2025, at 1400 Pacific Time.

This solicitation is designated as a Total Small Business Set-Aside under NAICS code 541620 (Environmental Consulting Services) with a size standard of $19 million, and the government anticipates awarding a firm-fixed-price purchase order through simplified acquisition procedures. No incumbent contractors are identified in the solicitation documents. While specific award values are not disclosed, the project involves analyzing 500 detector months of ARU data with approximately 36 hours of data collection per month per detector between February and August annually. The contract period of performance runs from August 11, 2025, to December 31, 2029, with project phases including a pilot phase in 2025, inventory phases in 2026-2027, and monitoring phases in 2028-2029. All work will be performed at Channel Islands National Park in Ventura County, California, with data analysis potentially conducted on NPS local hardware or at a university facility.