Projects - search

Filters
Close X

Filter by:

Limit to posts tagged with one or more of:

Winter Carbon Losses in Wetland Ecosystems under Current and Future Climates

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

Carbon Cycling in Southern Ontario Swamps

Project leads
Megan Schmidt, University of Waterloo
Dr. Maria Strack, University of Waterloo

Start date
09/01/2022

Study area
Southern Ontario, Canada

Main objectives
Assessing C cycling and stores in swamps across Southern Ontario.
Looking at soil CH4 and CO2 flux, tree stem flux, biomass, productivity, decomposition.

For more information:
Contact: meg.schmidt@uwaterloo.ca

Estimation of Global Peatland Carbon Stocks Using Machine Learning Products (MSc Project)

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