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Washington State Conservation Commission·Washington

Monitoring benefits of conservation practices watershed scale

Closes 2/6/2026$30k – $50kRequest for InformationLogin required
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Description

The Washington State Conservation Commission's Science Hub is seeking input from vendors on effective work products for monitoring and quantifying the benefits of best management practices on agricultural lands. The project aims to develop watershed models that integrate field monitoring, remote sensing, and empirical data to generate quantitative assessments of the effects of agricultural best management practices on ecosystem functions. The vendor will work with the Science Hub and its partners to develop a prototype watershed model, estimate field-based measurements, and provide a summary report on the current state of science in watershed-scale methods and tools. Key aspects of the project include: • Watershed-scale monitoring and modeling • Agricultural best management practices • Ecosystem functions and values of Critical Areas • Integrative science-based watershed projects • Collaboration with multiple interdisciplinary teams The vendor should have experience in watershed- and field-scale environmental monitoring and modeling, agricultural best management practices, and developing and applying watershed models such as SWAT / SWAT+, WEPP or similar models.

Attached files

Contact

Nicole Boyes(RFI Coordinator)

[email protected]

(564) 669-3149

Key dates

Opened
1/23/2026
Questions due
2/6/2026
Closes
2/6/2026
Duration
5 months

Last updated

Details

Type
Request for Information
Industry
Environmental Services
NAICS
541620
Solicitation №
Science HUB RFI

Budget estimate

$30,000 – $50,000

The estimated initial contract value is $40,000. This amount is likely based on the scope of work, which includes developing a prototype watershed model, estimating field-based measurements, and providing a summary report. The actual budget may vary depending on the vendor's proposal and the commission's budget. Factors that may influence the likely payment range include the complexity of the project, the vendor's experience and expertise, and the commission's funding priorities.

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