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Project leads
Fereidoun Rezanezhad (University of Waterloo)
Philippe Van Cappellen (University of Waterloo)
Jonathan Price (University of Waterloo)
William L. Quinton (Wilfrid Laurier University)
Nathan Basiliko (Lakehead University)
Pascale Roy-Leveillee (Université Laval)
Christina Smeaton (Memorial University of Newfoundland)
Kara Webster (Canadian Forest Service Great Lakes Forestry Centre (CFS-GLFC) - Natural Resources Canada)
Nancy Goucher (University of Waterloo)

Timeline
03/01/2019 - 02/28/202

Study area
Canada

Main objectives
The goal of this project is to advance the fundamental, process-based understanding of the function of soil biogeochemical processes in cold region environments during the fall-winter and winter-spring transitions and during the non-growing season (NGS) by creating the foundation for the predictive modelling of winter carbon losses in cold region wetland ecosystems under current and future climates. This research project mainly focuses on 1) determining the hydrological and climatic factors driving microbial NGS carbon cycling and 2) integrating the information and data gained into models describing the underlying processes controlling NGS emissions for incorporation into the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS).

For more information:
Contact: frezanez@uwaterloo.ca

Project leads
Dr. Maria Strack, University of Waterloo
Dr. Nicole Balliston, University of Waterloo

Timeline
08/01/2023 - 05/01/2026

Study area
Mushkegowuk Traditional Territory in the Hudson Bay Lowland, Ontario, Canada

Main objectives
Assessing seasonal and interannual hydrological fluxes within HBL peatlands
Estimating water bound lateral carbon fluxes within HBL peatlands


For more information:
Contact: nballist@uwaterloo.ca

Project leads
Jade Skye, MSc Student, University of Victoria
Joe Melton, Supervisor, Environment and Climate Change Canada

Timeline
09/06/2022 08/18/2024

Study area
Global

Main objective
The goal of this project is to estimate global peatland carbon stocks using peatland depth and carbon density products predicted using Machine Learning. A secondary objective is to aid efforts to better represent peatlands in Earth System Models by providing more accurate initial conditions

For more information:
Contact: jskye@uvic.ca

Project leads
Oluwabamsie L. Afolabi, University of Waterloo
Hongxing He, McGill University
Maria Strack, University of Waterloo

Start date
01/04/2021

Study area
Beverly Swamp in Southern Ontario, Canada

Main objective
To assess the potential impacts of climate change on temperate swamp carbon cycling in Southern Ontario, Canada