Grant: Strategic Projects - Group
Queen's University
$129,200.00
Predicting dissolved oxygen concentrations in Lake Trout lakes: Developing new tools for a multiple-stressor world
FY 2013-14
Summary
Canada's Lake Trout lakes are a rare and valuable natural resource in both economic (in Ontario alone, anglers spend an estimated 1. 7 billion dollars on goods and services related to recreational fishing, with lake trout being the preferred species among many anglers) and ecological terms. However, lake trout populations are becoming increasingly threatened by multiple environmental stressors (e.g., over-exploitation, competition with introduced species, nutrient loading), with the added ""threat-multiplier"" of accelerated climate warming. There is growing concern that habitat quality in the deep waters of many Lake Trout lakes is declining due to oxygen depletion. Moreover, new evidence suggests that declines in deepwater oxygen concentrations may be occurring in lakes where nutrient inputs have not increased, or even where phosphorus inputs or lake nutrient concentrations have decreased over time, creating exceptions to the ""increased nutrients, decreased deepwateroxygen paradigm"". This is of particular concern because current approaches to resource management are prefaced on this major assumption, and thus are problematic in a multiple stressor world, and especially when climate change is affecting lake ice cover and thermal stratification, and consequently deepwater oxygen levels. It is clear that managers need a new toolset, one that includes predictive models for forecasting shifts in lake trout habitat and improves understanding of historical changes in lake trout habitat. This proposal brings together university researchers and partners with diverse expertise (e.g., modellers, engineers, biologists, paleolimnologists) to develop and apply three distinct, yet complementary, techniques to accurately predict past, present, and future deepwater dissolved oxygen concentrations in Lake Trout lakes. This project will also provide an outstanding training program for our students and post doc, blending diverse but complementary approaches, with direct interactions with our trans-disciplinary supporting organizations and other users. In a multiple-stressor world, these novel tools will provide managers with a scientifically-defensible approach for managing lake trout habitat, provide guidance on mitigation strategies, and ensuring sustainable management.
Program
Strategic Projects - Group
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
447362-2013
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
2013
Competition year année de concours
2013
Award amount
129200
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
1565
Committee name en
Strategic Projects Selection Panel - Environment
Committee name fr
Comité de sélection des projets stratégiques - Environnement
Area of application code
403
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Inland waters
Area of application fr
Eaux intérieures
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
1
Nb partie
3
Application title
Predicting dissolved oxygen concentrations in Lake Trout lakes: Developing new tools for a multiple-stressor world
Keyword
NSERC
Application summary
Canada's Lake Trout lakes are a rare and valuable natural resource in both economic (in Ontario alone, anglers spend an estimated 1. 7 billion dollars on goods and services related to recreational fishing, with lake trout being the preferred species among many anglers) and ecological terms. However, lake trout populations are becoming increasingly threatened by multiple environmental stressors (e.g., over-exploitation, competition with introduced species, nutrient loading), with the added ""threat-multiplier"" of accelerated climate warming. There is growing concern that habitat quality in the deep waters of many Lake Trout lakes is declining due to oxygen depletion. Moreover, new evidence suggests that declines in deepwater oxygen concentrations may be occurring in lakes where nutrient inputs have not increased, or even where phosphorus inputs or lake nutrient concentrations have decreased over time, creating exceptions to the ""increased nutrients, decreased deepwateroxygen paradigm"". This is of particular concern because current approaches to resource management are prefaced on this major assumption, and thus are problematic in a multiple stressor world, and especially when climate change is affecting lake ice cover and thermal stratification, and consequently deepwater oxygen levels. It is clear that managers need a new toolset, one that includes predictive models for forecasting shifts in lake trout habitat and improves understanding of historical changes in lake trout habitat. This proposal brings together university researchers and partners with diverse expertise (e.g., modellers, engineers, biologists, paleolimnologists) to develop and apply three distinct, yet complementary, techniques to accurately predict past, present, and future deepwater dissolved oxygen concentrations in Lake Trout lakes. This project will also provide an outstanding training program for our students and post doc, blending diverse but complementary approaches, with direct interactions with our trans-disciplinary supporting organizations and other users. In a multiple-stressor world, these novel tools will provide managers with a scientifically-defensible approach for managing lake trout habitat, provide guidance on mitigation strategies, and ensuring sustainable management.