Alberta Soil Carbon Characterization Project

Croplands are labeled as “climate change mitigators” given their ability to trap carbon dioxide (CO2) as soil organic matter (SOM). SOM is a complex mixture of compounds, primarily carbon (C), derived from plant litter's decomposition. Healthy soils are now part of “verified C markets”, which are corporate programs in which enrolled farmers receive money for keeping SOM in the ground. Metrics of success are often limited to bulk soil C stocks. This is a critical limitation – not all SOM is created equal and may behave differently in the environment depending on their properties.

Advancing Climate-mediated Wetland Assessment and Change Detection using Earth Observation Data Fusion and Advanced Analytics

Quantifying the current extent of wetlands and how they have changed over the last number of years is important for understanding how wetland ecosystem services (including flood mitigation, food services, and migrating bird habitats) are sensitive to climate change. In this project, we will work with the partner organization to develop accurate methods for wetland identification and areal coverage using satellite and airborne remotely sensed data. The methods will be evaluated by the Mitacs Intern using ecological data collected at numerous boreal and parkland wetlands.

Alberta__University of Lethbridge

No additional funding contribution is required from the academic supervisor or university.
Fellowships will be awarded competitively.

Semisynthetic Strategies for the Production of Cannabinoids from Cannabis Sativa

Although recreational and medicinal marijuana is legal in Canada regulations limit the content of certain cannabinoids, such as ?9-tetrahydrocannabinol (?9THC) in commercially grown strands. With close collaboration with our industrial partner Plantbiois Ltd., this research project will develop methods to produce ?9THC by synthetic conversion from highly abundant cannabinoids in unregulated, low THC strains.

The control of pathogen infection in Cannabis sativa

The cannabis boom in Canada is reaching a full swing. At the same time, the research on agricultural and medicinal cannabis is still lagging behind. Cannabis is typically grown at high density in the contained environment. Such conditions lead to high pathogen pressure. Fungal pathogens like those causing powdery mildew, grey and white mold result in a significant decrease in yield and sometimes even in a loss of entire crop or a recall of various products.

Molecular effects of novel high-CBD Cannabis cultivars: from mechanisms to novel applications and therapeutics

With the legalization of cannabis, a serious issue facing Canadians is: how will consumers know their products are safe and created with their health in mind? Many Cannabis products claim diverse health benefits, ranging from treating pain to reducing inflammation and affecting tumor growth. While this is incredibly exciting, have all of these products been researched to ensure their claims are rooted in scientific proof?

Phenotyping and genotyping collection of Cannabis sativa lines

Upcoming legalization of marijuana provides many opportunities for all Canadians. Licensed Producers (LPs) are the main providers of medicinal cannabis to patients and will be the main suppliers for recreational market. The significant disadvantage in the current environment is the limited number of strains available to LPs. Sundial Growers have acquired a collection of Cannabis sativa lines. There is little to no information on these lines.

Alberta High Resolution Wetland Inventory Methodology Development - Year two

This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery.

Alberta High Resolution Wetland Inventory Methodology Development

This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery.

Alberta High Resolution Wetland Inventory Methodology Development

This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery.

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