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Development of statistical methodology Tender in Canada - 28573954

The FISHERIES AND OCEANS CANADA has issued a Tender notice for the procurement of a Development of statistical methodology for southern resident killer whale habitat use integrated maps of intensity (f5211-180577) in the Canada. This Tender notice was published on 21 Nov 2018 and is scheduled to close on 03 Dec 2018, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 28573954, while the tender notice number is PW-18-00851538 and Registering on the platform.

Expired Tender

Procurement Summary

Country: Canada

Summary: Development of statistical methodology for southern resident killer whale habitat use integrated maps of intensity (f5211-180577)

Deadline: 03 Dec 2018

Posting Date: 21 Nov 2018

Other Information

Notice Type: Tender

TOT Ref.No.: 28573954

Document Ref. No.: PW-18-00851538

Competition: ICB

Financier: Self Financed

Purchaser Ownership: -

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

Advanced contract award notice

the department of fisheries and oceans has a requirement for development of statistical methodology for southern resident killer whale habitat use integrated maps of intensity.

The purpose of this advance contract award notice (acan) is to signal the government's intention to award a contract for these services to the university of british columbia, vancouver, bc. Before awarding a contract, however, the government would like to provide other suppliers with the opportunity to demonstrate that they are capable of satisfying the requirements set out in this notice, by submitting a statement of capabilities during the acan posting period.

If other potential suppliers submit a statement of capabilities during this acan posting period that meets the requirements set out in the acan, the government will proceed to a full tendering process on either gets or through traditional means, in order to award the contract.

If no other supplier submits, on or before the closing date, a statement of capabilities meeting the requirements set out in the acan, a contract will be awarded to the pre-selected supplier.

Statement of requirement

fisheries and oceans canada (dfo) requires data analysis and report writing services to develop a statistical methodology to better understand the habitat requirements of southern resident killer whales (srkw). Analytical skills include modelling whale occurrence data in both space and time while accounting for challenging biases, production of high-resolution, species management-quality maps, and providing a summary report of analytical approaches employed.

Tasks:

the main objective of this contract is to provide a series of fully integrated regional maps of srkw habitat use. This will require the development of new and robust statistical methods to analyse the disparate data from different regions into a single unifying framework. This new method will combine several advantageous features for species at risk management.

First, the method will generate maps in which high-use areas and whale presence will be comparable across all regions, even if the input data used for these regions varied substantially (detailed boat follow vs whale-watch sightings).

Second, the method will properly account for spatially varying sampling intensity ? correcting for the fact that certain areas have had greater survey effort than others. This statistical framework will then be used to produce maps that represent the level of uncertainty associated with habitat use. This is an important factor when developing mitigation actions for species at risk, as it shall demonstrate how reliable the information is in under-sampled areas.

Third, the models will be able to incorporate environmental and biological covariates. Incorporating covariates has the potential to provide a mechanistic understanding of srkw habitat use and to better predict whale intensity in under-sampled areas.

The method developed will be a

Documents

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