Wendy Monk, Ph.D.

 

Postdoctoral Research Fellow

NSERC Visiting Research Fellow – Canadian Rivers Institute, University of New Brunswick

 

Dr. Monk’s research focuses on the spatial and temporal integration of hydrology and ecology (hydroecology) within freshwater ecosystems. Her research combines data mining methods, geospatial analyses and multivariate statistical techniques to quantify variability in physical driver variables (e.g. climate, landscape and hydrology) and patterns in aquatic communities across a range of temporal and spatial scales. She has worked with Dr. Donald Baird as a Visiting Research Fellow with Environment Canada since 2010. In this role, she has been involved in projects exploring the hydroecological linkages within the Athabasca River watershed and quantifying spatio-temporal trends in river runoff across Canada in addition to the development of diagnostic indices and bioassessment models.

 

Education

B.Sc. (Hons.) – Loughborough University (2002)

Ph.D. – Loughborough University (2006)

 

Selected Publications

Monk WA, Wood PJ, Hannah DM, Extence CA, Chadd RP, Dunbar MJ. 2012. How does macroinvertebrate taxonomic resolution influence ecohydrological relationships in riverine ecosystems. Ecohydrology 5(1): 36-45.

Peters DL, Baird DJ, Monk WA, Armanini, DG. 2012. Establishing standards and assessment criteria for ecological instream flow needs in agricultural regions of Canada. Journal of Environmental Quality 41(1): 41-51.

Armanini DG, Horrigan N, Monk WA, Peters DL, Baird DJ. 2011. Development of a benthic macroinvertebrate flow sensitivity index for Canadian rivers. River Research and Applications 27(6): 723-737.

Monk WA, Curry RA. 2009. Models of past, present, and future stream temperatures for selected Atlantic salmon rivers in northeastern North America. American Fisheries Society Symposium 69: 215-230.

Monk WA, Wood PJ, Hannah DM, Wilson DA. 2008. Instream ecological response to inter-annual variability in the hydrological regime for rivers in England and Wales. River Research and Applications 24: 988-1001.

 

 

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