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Ecological Data Analysis and Reporting

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract entails comprehensive scientific analysis of GPS movement data to model wildlife migration patterns, pinpoint critical stopover sites, and inform long-term strategies for biodiversity conservation. The work will focus on interpreting spatial and temporal movement data to enhance understanding of species behavior and habitat use, directly supporting ecological planning and management efforts. The analysis is intended to generate actionable insights for conservation planners and resource managers working to protect migratory species and their habitats. This is a subcontract under the NAICS code 541620 for scientific and technical consulting services, issued by the Department of the Interior through its agency It Goods Fws. The contract was posted on May 12, 2026, and the performance location is unspecified, indicating flexibility in where the analysis may be conducted. The scope emphasizes data-driven ecological outcomes, requiring advanced analytical methods and expertise in wildlife telemetry, geographic information systems, and conservation biology to translate raw movement data into meaningful conservation recommendations.

General Info

Analyze GPS data to model migration, identify stopovers, support biodiversity conservation planning.

Agency

Department Of The Interior → It Goods FwsView Agency

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

VA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PostedMay 12

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Organization & Contact Information

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AgencyDepartment Of The Interior → It Goods Fws

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of The Interior → It Goods Fws

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Office AddressN/A

ContactsNo contact information available

Full Description

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Scientific analysis of GPS movement data to model migration patterns, identify stopover sites, and support long-term biodiversity conservation planning.

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