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Grant: Strategic Projects - Group

Queen's University

$207,000.00

New assessment tools combining forensic paleolimnology, biotransport, and predictive modelling to determine potential impacts of mink farming in rural Nova Scotia

FY 2018-19

Summary
Mink pelts are reported to be Nova Scotia's greatest agricultural export and are comparable only to dairy products in terms of revenues. However, many residents, watershed groups, and NGOs associate mink farming with recurring algal blooms, poor water quality, and declining fish habitat within regional freshwaters. Polarized debates continue as regulators and local stakeholders are hampered by the lack of long-term water quality data. Our overall goal is to develop the field of ""forensic paleolimnology"" and integrate our novel, time-focused approaches with predictive lake modelling. Working with our HQP and local stakeholders, we will use both established and our newly developed ""fingerprinting"" tools, which we will continue to refine, to determine the relative contributions from mink farms (as opposed to other sources of agricultural runoff and land-use changes) of nutrients, metals, and persistent organic pollutants (POPs) that may lead to algal blooms and overall deterioration of water quality, including potential loss of fish habitat and alteration of aquatic food webs. This proposal links university researchers and partners with diverse expertise (e.g., modellers, engineers, biologists, chemists, paleolimnologists) and local knowledge to develop distinct, yet complementary, tools to reconstruct the past, study the present, and model future water quality trajectories in lakes potentially affected by mink farming, historic agriculture/land-use shifts, and climatic change. Working with our partners, our strategic lake selection will allow us to provide regulators and stakeholders with the critical information, at appropriate temporal and spatial scales, to determine management and potential additional mitigation policies needed to help resolve the polarized debate on the environmental impacts of mink farms. The techniques developed in this project will be readily exportable to other agricultural regions in Canada and elsewhere faced with water quality issues.*
Program
Strategic Projects - Group
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
506873-2017
Name nom
Smol, John
Department département
Biology
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
207000
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1584
Committee name en
Strategic Projects - Environment and Agriculture
Committee name fr
Projets stratégiques - Environnement et agriculture
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4702
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Aquatic ecology and limnology
Research subject fr
Écologie aquatique et limnologie
Partie
2
Nb partie
2
Application title
New assessment tools combining forensic paleolimnology, biotransport, and predictive modelling to determine potential impacts of mink farming in rural Nova Scotia
Keyword
NSERC
Application summary
Mink pelts are reported to be Nova Scotia's greatest agricultural export and are comparable only to dairy products in terms of revenues. However, many residents, watershed groups, and NGOs associate mink farming with recurring algal blooms, poor water quality, and declining fish habitat within regional freshwaters. Polarized debates continue as regulators and local stakeholders are hampered by the lack of long-term water quality data. Our overall goal is to develop the field of ""forensic paleolimnology"" and integrate our novel, time-focused approaches with predictive lake modelling. Working with our HQP and local stakeholders, we will use both established and our newly developed ""fingerprinting"" tools, which we will continue to refine, to determine the relative contributions from mink farms (as opposed to other sources of agricultural runoff and land-use changes) of nutrients, metals, and persistent organic pollutants (POPs) that may lead to algal blooms and overall deterioration of water quality, including potential loss of fish habitat and alteration of aquatic food webs. This proposal links university researchers and partners with diverse expertise (e.g., modellers, engineers, biologists, chemists, paleolimnologists) and local knowledge to develop distinct, yet complementary, tools to reconstruct the past, study the present, and model future water quality trajectories in lakes potentially affected by mink farming, historic agriculture/land-use shifts, and climatic change. Working with our partners, our strategic lake selection will allow us to provide regulators and stakeholders with the critical information, at appropriate temporal and spatial scales, to determine management and potential additional mitigation policies needed to help resolve the polarized debate on the environmental impacts of mink farms. The techniques developed in this project will be readily exportable to other agricultural regions in Canada and elsewhere faced with water quality issues.*
Queen's University - $207,000 Grant (2018-19) | Canada Spends