Grant: Alliance Grants
University of New Brunswick
$40,494.00
An integrative framework to predict the presence of aquatic species-at-risk.
FY 2022-23
Summary
When any human activity that may alter an aquatic environment is proposed, e.g. bridge construction, pipeline crossings, dredging, culvert installations, Fisheries and Oceans Canada requires the proponent to minimize and mitigate impacts for all fish and molluscs, with added emphasis for the care of any species at risk (SAR) animals within the zone of potential impact, e.g., the area within the construction footprint. The New Brunswick Department of Transportation and Infrastructure (DTI) is partnering with researchers from the Canadian Rivers Institute (CRI) at the University of New Brunswick (UNB) to develop a science-based risk assessment framework to establish the presence/absence of SAR aquatic species. The expected research outputs include using environmental DNA (eDNA) as a tool to map the spatial extent of SAR individuals, developing effective freshwater mussel survey methodologies at the microhabitat scale, mapping the connectivity of freshwater systems in NB using LiDAR, and a probabilistic model for the determination of risk to SAR across NB. This framework would allow for rapid confirmation of the presence of SAR within any proposed project's freshwater habitat, and could streamline the permitting process, concentrating the focus on conserving and protecting areas where SAR biota require the most attention, rather than defaulting to protection and unnecessary effort when SAR are absent. Beyond the regulatory and operational application, the outputs have significant implications for conservation and restoration as mapping of suitable SAR habitat will directly aid in prioritizing SAR habitat restoration, i.e., informing where to invest habitat restoration efforts with new unrealized restoration areas can be prioritized. This innovative research approach will have broad applications arising from an operational need (via NB DTI), while increasing the science-based decision making capacity within NB DTI and advancing current approaches to SAR freshwater surveys.
Program
Alliance Grants
Recipient
Location
New Brunswick, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
561349-2020
Name nom
Gray, Michelle MA
Department département
Forestry and Environmental Management, Faculty of
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2020
Award amount
40494
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
409
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environmental impact of economic activities (including agriculture)
Area of application fr
Effet des activités économiques sur l'environnement (y compris agriculture)
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
Installment
inst:2
Partie
1
Nb partie
2
Application title
An integrative framework to predict the presence of aquatic species-at-risk.
Application summary
When any human activity that may alter an aquatic environment is proposed, e.g. bridge construction, pipeline crossings, dredging, culvert installations, Fisheries and Oceans Canada requires the proponent to minimize and mitigate impacts for all fish and molluscs, with added emphasis for the care of any species at risk (SAR) animals within the zone of potential impact, e.g., the area within the construction footprint. The New Brunswick Department of Transportation and Infrastructure (DTI) is partnering with researchers from the Canadian Rivers Institute (CRI) at the University of New Brunswick (UNB) to develop a science-based risk assessment framework to establish the presence/absence of SAR aquatic species. The expected research outputs include using environmental DNA (eDNA) as a tool to map the spatial extent of SAR individuals, developing effective freshwater mussel survey methodologies at the microhabitat scale, mapping the connectivity of freshwater systems in NB using LiDAR, and a probabilistic model for the determination of risk to SAR across NB. This framework would allow for rapid confirmation of the presence of SAR within any proposed project's freshwater habitat, and could streamline the permitting process, concentrating the focus on conserving and protecting areas where SAR biota require the most attention, rather than defaulting to protection and unnecessary effort when SAR are absent. Beyond the regulatory and operational application, the outputs have significant implications for conservation and restoration as mapping of suitable SAR habitat will directly aid in prioritizing SAR habitat restoration, i.e., informing where to invest habitat restoration efforts with new unrealized restoration areas can be prioritized. This innovative research approach will have broad applications arising from an operational need (via NB DTI), while increasing the science-based decision making capacity within NB DTI and advancing current approaches to SAR freshwater surveys.