Grant: Research Tools and Instruments
University of Windsor
$75,466.00
Nutrient Auto-Analyzer System to Assess Great Lakes Health
EF 2016-17
Résumé
We request a continuous flow auto-analyzer for the analysis of nutrient concentrations in water samples to support a substantial increase in the co-PIs' research on the topic of Great Lakes Health. Nutrient imbalances, especially of phosphorus (P) and nitrogen (N), represent the single greatest threat to aquatic ecosystem services in the Great Lakes. Low P levels in Lake Huron limit the commercial fish catch, while high P levels in Lake Erie have contributed to nuisance and toxic algal blooms. Lake Ontario experiences recurring nuisance and toxic algal blooms in a number of embayments. There are many uncertainties that make it difficult to link management actions on the landscape (the ultimate source of excess nutrients) to improvements in the health of the Great Lakes. These uncertainties include: i) the respective roles of watershed and lakebed sources of N and P in driving water quality problems; ii) the forms of N and P input to aquatic ecosystems and the transformations they undergo from landscapes to aquatic ecosystems. The emerging consensus is that accurately quantifying N and P inputs to lakes requires hundreds of samples per station per year, while multiple stations are needed to understand downstream N and P transformation. Information from many locations is needed at the mouths of rivers to track the N and P form and transformation in nearshore areas, and bed sediments must be sampled at many locations to understand the overall sediment N and P flux to lakes. The co-PIs are involved in research that examines nutrient dynamics in urban, agricultural, nearshore, open lake, and freshwater benthic sediments, and that links nutrients to primary production, fish consumption advisories, and the release of contaminants stored in sediments. Dedicated infrastructure is needed that can estimate the N and P content of many water and sediment samples while minimizing the effects of operator error. The requested continuous flow analyzer will be based in the University of Windsor's recently established Nutrient Lab (NL), a shared facility that all faculty and students in the University can access. We anticipate a total of 14 MSc, 12 PhD, and 2 PDFs to benefit from the use of the requested infrastructure in the first 5 years of use. The requested equipment will foster faster, more informative research, larger sample sizes, and more robust study designs, into the most important pollutants in the Great Lakes.
Programme
Research Tools and Instruments
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RTI-2017-00723
Name nom
Haffner, Gordon
Department département
Great Lakes Inst. for Environmental Res. (GLIER) - Great Lakes Inst. for Environ
Organization id
37
Institution établissement
University of Windsor
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
75466
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1603
Committee name en
Environmental Sciences (RTI)
Committee name fr
Sciences environnementales (OIR)
Area of application code
702
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Water
Area of application fr
Maritime
Research subject code
4700
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Evolution and ecology
Research subject fr
Évolution et écologie
Partie
1
Nb partie
1
Application title
Nutrient Auto-Analyzer System to Assess Great Lakes Health
Keyword
NSERC
Application summary
We request a continuous flow auto-analyzer for the analysis of nutrient concentrations in water samples to support a substantial increase in the co-PIs' research on the topic of Great Lakes Health. Nutrient imbalances, especially of phosphorus (P) and nitrogen (N), represent the single greatest threat to aquatic ecosystem services in the Great Lakes. Low P levels in Lake Huron limit the commercial fish catch, while high P levels in Lake Erie have contributed to nuisance and toxic algal blooms. Lake Ontario experiences recurring nuisance and toxic algal blooms in a number of embayments. There are many uncertainties that make it difficult to link management actions on the landscape (the ultimate source of excess nutrients) to improvements in the health of the Great Lakes. These uncertainties include: i) the respective roles of watershed and lakebed sources of N and P in driving water quality problems; ii) the forms of N and P input to aquatic ecosystems and the transformations they undergo from landscapes to aquatic ecosystems. The emerging consensus is that accurately quantifying N and P inputs to lakes requires hundreds of samples per station per year, while multiple stations are needed to understand downstream N and P transformation. Information from many locations is needed at the mouths of rivers to track the N and P form and transformation in nearshore areas, and bed sediments must be sampled at many locations to understand the overall sediment N and P flux to lakes. The co-PIs are involved in research that examines nutrient dynamics in urban, agricultural, nearshore, open lake, and freshwater benthic sediments, and that links nutrients to primary production, fish consumption advisories, and the release of contaminants stored in sediments. Dedicated infrastructure is needed that can estimate the N and P content of many water and sediment samples while minimizing the effects of operator error. The requested continuous flow analyzer will be based in the University of Windsor's recently established Nutrient Lab (NL), a shared facility that all faculty and students in the University can access. We anticipate a total of 14 MSc, 12 PhD, and 2 PDFs to benefit from the use of the requested infrastructure in the first 5 years of use. The requested equipment will foster faster, more informative research, larger sample sizes, and more robust study designs, into the most important pollutants in the Great Lakes.