Advancing an Artificial Intelligence Platform for Crop-Health Monitoring

Plants can respond to changes in their surroundings and can convey precise information about their health state. Ecoation has developed a multi-sensory data acquisition device to capture this information and has been collecting in-field sensor data along with data labels produced by human experts during data collection. In addition, images of various parts of plant canopy has also been collected to supplement the sensory information and to provide insights into plant physical features such as vegetation.

Prioritizing decision-making for agriculture and conservation in North America’s prairies under climate change and land-use change - Year 2

Wetland habitats are critically important to many animal and plant species, and they are in trouble. The North American prairies, for example, comprise some of the most productive wetland habitats in the world, but many areas of the prairies have lost up to 90% of their wetlands and more than 90% of their native grasslands due to farming practices and more recently, climate change. This project will build a decision-support framework to prescribe the conservation actions needed to sustain wetland biodiversity in the face of climate and land-use changes.

Watershed-scale connectivity analysis: An applied GIS model towards the strategic management of barriers to Atlantic salmon migration

Barriers to connectivity are often associated with roads, culverts, and even beaver dams. An M.Sc. student with the CRI at UNB working in collaboration with the Restigouche River Watershed Management Council will develop a watershed-scale connectivity analysis using a GIS model to best inform the management of connectivity to reproductive habitats for Atlantic salmon in the Restigouche River watershed. The project will evaluate the current and potential available habitats for egg deposition, juveniles, and conservation requirements needed for an adaptive and integrated management plan.

Development of a model for computational sea ice monitoring

The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities in sea ice modeling, calculating parameters of ocean interaction with sea ice and designing algorithms for satellite data processing and analysis.

Developing Tools to Track Vocalizing Marine Mammals with Long Baseline Hydrophone Arrays - Year two

My project aims to understand cetacean habitat use in remote areas along Canada's coast. Using acoustic data from an array of permanently recording hydrophones, I am developing software to automatically detect, classify, and localize different species of whales that use the area .
The acoustic network is located deep in the Great Bear Rainforest in northern British Columbia in thus in important habitat for Northern Resident Killer Whales, humpback whales, and fin whales.

An automated method for basin scale mapping of aquatic habitat using a UAV

This project will use a drone to map aquatic habitat in Carnation Creek. Research better characterizing fish habitat is critical given the declines seen in many coastal fish stocks. Traditional methods of surveying aquatic habitat are often physically demanding and limited to short channel segments. However, advances in fish ecology suggest that better management of fish species require research that links basin scale patterns in channel morphology to aquatic habitat; which is the scale fish complete their life histories.

Disturbance thresholds and factors influencing community dynamics of epiphytic cyanolichens in Nova Scotia, with an emphasis on rare and at-risk species

The coastal wet mixedwood forests of Nova Scotia are globally important for lichen biodiversity, but several lichen species are now declining or endangered. This is concerning for forest managers, because forest companies may be subject to penalties if they inadvertently destroy the habitat of an endangered species. The causes of lichen declines are not fully understood, but hypotheses include forest harvesting, acid deposition (from SO2 emissions), and grazing pressure from slugs.

Plankton food web pathways to juvenile salmon

Plankton food-webs are the primary support system for juvenile salmon, necessary for their growth, health, and ultimately survival at sea. Understanding how and why plankton food-webs respond to changing ocean conditions is one of the major goals of the Pacific Salmon Foundation, with the view to understanding fluctuations and declining trends of salmon stocks in the Salish Sea.

Spatial and Temporal Variability of Primary and Secondary Production in the Salish Sea from a Coupled Model (SalishSeaCast with SMELT)

The Pacific Salmon Foundation is leading a multi-year project: Salish Sea Marine Survival Program (SSMSP) to determine what is affecting the survival of juvenile salmon and steelhead in the Salish Sea. There are three hypotheses to investigate. The impact of availability of food for the fish, the predation on the fish and other factors including habitat loss. In this project we will use a model of the Strait of Georgia to help evaluate availability of food.

Sublethal effects of neurotoxic pesticides on bats: from cells to behavior

Pesticide application in crops has been considered a potential cause of bat population declines in Europe. However, no research on this topic has been conducted in tropical agrosystems, where the use of pesticides is extensive and bat diversity is higher. Considering that insectivorous bats can eat more than 90% of their body mass every night, species that hunt preferentially in crops could be highly exposed to pesticides through their prey. This study seeks to determine the sublethal effects of pesticides on bat species foraging in or near crops.