Basic Information

Reference Number

cb-977-9449414

Issuing Organization

Department of Natural Resources (NRCan)

Solicitation Type

RFP - Request for Proposal (Formal)

Solicitation Number

NRCan-5000087589

Title

Post-Thinning and Post-Fertilization Growth and Carbon Sequestration: Literature Reviews and Data Sourcing

Source ID

PWGSC

Agreement Types

Canada-Chile Free Trade Agreement (CCFTA)

Canada-Colombia Free Trade Agreement

Canada-European Union Comprehensive Economic and Trade Agreement(CETA)

Canada-Honduras Free Trade Agreement

Canada-Korea Free Trade Agreement

Canada-Panama Free Trade Agreement

Canada-Peru Free Trade Agreement (CPFTA)

Canadian Free Trade Agreement (CFTA)

Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP)

North American Free Trade Agreement (NAFTA)

World Trade Organization Agreement on Government Procurement (WTO-AGP)

Canada-UK Trade Continuity Agreement (Canada-UK TCA)

Canada-Ukraine Free Trade Agreement (CUFTA)

Details

Location

National Capital Region

Dates

Publication

2025/06/18 12:00:00 AM EDT

Closing Date

2025/07/29 02:00:00 PM EDT

Contact Information

Len Pizzi

(343) 550-5308

len.pizzi@nrcan-rncan.gc.ca

Description

To support the development of post-thinning and post-fertilization growth curve multipliers and disturbance matrices, the following objectives will be pursued:
• Identify Canadian studies that have assessed the impacts of forest thinning and fertilization treatments relevant to growth response, GHG emissions and carbon sequestration.
• Conduct a literature review of Canadian studies that have assessed the impacts of various forest thinning treatments on the growth response of trees in the residual stand.
• Conduct a literature review of Canadian studies that have assessed the impacts of various forest fertilization treatments on the growth response of trees in the residual stand, on greenhouse gas (GHG) emissions, and on carbon sequestration in biomass and soils.
• Collate the key publications, data, and data documentation (i.e., data dictionaries, metadata) associated with the studies included in the literature reviews.

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