Developing a novel detection method for endangered and invasive fishes

Underwater visual analysis (UWVA) is a passive and non-invasive method gaining popularity in freshwater systems. UWVA uses underwater cameras and/or snorkel surveys to assess species richness and abundance. UWVA could also be used to detect endangered and invasive fishes, which is important for conservation and management of freshwater ecosystems. To determine the applicability of the UWVA for detection across multiple freshwater systems, data collected in various locations that differ in habitat complexity and biodiversity is required. I plan to use long-term UWVA monitoring data from South Africa from three different rivers to estimate the probability that endangered and invasive fishes will be detected. I will estimate the detection probability using occupancy modeling. I will then compare these results to data I have already collected using the same methods in Canada. TO BE CONT’D

Faculty Supervisor:

Nicholas Mandrak

Student:

Partner:

South African Institute for Aquatic Biodiversity

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Sustainability & the Environment; Life Sciences (not health)

University:

University of Toronto

Program: