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This Solicitation opportunity from Department Of Agriculture was posted on July 22, 2009. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Young Growth Monitoring pertaining to Wildlife

Closed
AG-0109-S-09-0019Federal

Contract Overview

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

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Solicitation # 1070-30/FH27FHQ131
The Ministry of Forests for the Province of British Columbia is issuing a Notice of Intent to direct award a contract for growth and yield modelling using the Mixedwood Growth Model (MGM) to Carolyn Gao. The project involves applying advanced knowledge of the MGM to support modelling analyses and the development of stocking standards for broadleaf, mixedwood, successional, and conifer regeneration and free growing. Key deliverables include proposing changes to competing vegetation criteria for conifer stocking standards, developing algorithms to project stand attributes from free growing survey data, and creating full rotation management regimes focused on timber, wildfire resilience, habitat, and biodiversity. The contract is expected to run from November 1, 2026, to March 31, 2027, with an aggregate value not to exceed 30,000 dollars, exclusive of taxes. The selected contractor must be available to work an average of 10 to 15 hours per week and collaborate closely with the MGM developer. To successfully challenge this direct award, a respondent must possess a graduate degree in forestry or a related discipline, or be a Registered Professional Forester with at least five years of field experience. Additionally, they must demonstrate at least two years of experience applying the MGM within the last five years, experience with boreal or sub-boreal mixedwood stands, and expertise in statistical analysis and the interpretation of growth and yield outputs.
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POSTED

about 21 hours ago

DEADLINE

in 9 days

General Info

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

USDA-FS Alaska 709 West 9th Street, JUNEAU, AK, 99802, USA

Set-Aside

SBA

Documents

2

05-2017.doc

DOC

AG-0109-S-09-0019._2.doc

DOC

AI Contract Breakdown

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Timeline

1 update
PhaseClosed
Posted

Presolicitation

Notice updated

Response deadline changed from Jul 21, 2009 to Jul 20, 2009. The notice description changed.

Type Changed

Presolicitation → Solicitation

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Agriculture → R10 Alaska Regional Office
Contacts1 person available
OfficeJUNEAU, AK, 99802, USA
Office AddressJUNEAU, AK, 99802, USA
Contacts
Willa Dean GrahamPurchasing Agent

Full Description

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Extend response date to July 28, 2009 at 2:00 p.m. Alaska time. Contractor shall assemble and summarize relevant past and ongoing young growth monitoring that pertains to wildlife on the Tonasss National. From that information develop monitoring protocols for the Forest Plan monitoring questions. 1. Following young-growth treatments, does the cahnge in understory vegeation provide improved habitat for key old-growth species? - Identify a monitoring protocol for understory vegetation (vegetation alone). - Determine the feasibility for developing correlates between vegetation and an agreed upon list of species, following the process steps in Appendix A - Because we do not have information to suggest direct habitat improvement or population responses to changes in understory vegetation for most MIS and other species of concern, and because research supports positive benefits with changes in understory vegetation for Sitka black-tailed deer, the initial focus will be on deer. Other emphasis species may be identified after the assemblage of literature. 2. Is old growth structure retained in the matrix adequate and is it representative of old growth types across VCUs and across the Forest? - The protocol could identify simple spatial queries for agreed upon old growth structural classes (based on the Tongass Size-Density Model)

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