Hickie, Brendan

Effect Assessment of Binary Metal Mixtures of Ni, Cu, Zn, and Cd to Daphnia magna

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Creator (cre): Boloori, Tahereh, Thesis advisor (ths): Evans, Douglas R., Degree committee member (dgc): Backhaus, Thomas, Degree committee member (dgc): Hickie, Brendan, Degree granting institution (dgg): Trent University
Abstract:

Mixtures of metals occur in surface waters, toxicity of which has drawn world-wide attention due to their crucial role in both ecotoxicology and regulations. The present research was undertaken to study the acute toxicity of binary mixtures of Ni, Cu, Zn, and Cd to the freshwater organism, Daphnia magna. The experimental approach included single and binary metal toxicity tests based on the 48h acute toxicity bioassay of Environment Canada. The acute toxicity of single metals followed the order of Cd > Cu > Zn > Ni. Based on the calculated 48h EC50 value of single metals, a toxic unit (TU) approach was used to combine two metals in a binary mixture, in which 1TU was equal to the 48h EC50 value of a metal in single exposure. The toxicity of binary metal mixtures to D. magna followed the order of Cu-Cd > Cu-Zn > Zn-Cd > Cu-Ni > Zn-Ni > Cd-Ni, which demonstrated three types of toxicity (i.e., less than additive, additive, and greater additive). Predictions from additivity models (including concentration addition (CA) and independent action (IA) models), a generalized linear model (GLM), and a biotic-ligand-like model (BLM-like) were compared to the bioassay results. The CA and the RA models also predicted three types of toxicity of the binary metal mixtures (i.e., less than additive, additive, and greater than additive). However, the CA model mostly overestimated the toxicity of binary mixtures. Predictions from the GLM supported the inclusion of the interaction between two metals in a mixture to predict the toxicity of binary metal mixtures. The binary metal toxicity was also predicted using a BLM-like model based on the calculated concentrations of free ionic forms of the metals, affinity constants, and toxic potency of each metal. In this model, it was hypothesized that the toxicity of metal mixture is the result of competition of metals with Ca2+ at biotic ligands, which can lead to whole-body deficiency of Ca2+ in D. magna. The BLM-like model provided the toxic potency of single metals with the following order, Cu > Cd > Zn > Ni. Although the prediction of the BLM-like model was not in good agreement with the observed toxicity of binary metal mixtures, an overestimation of risk of mixture toxicity was obtained using this model, which could be promising for use in environmental risk assessment.

Author Keywords: biotic ligand model, concentration addition, Daphnia magna, independent action, metal toxicity, modeling

2019

Nunavik Inuit Knowledge of Beluga: Using Multiple Methods, Tools, and Applications to Enhance our Understanding of Marine Mammal Ecology

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Creator (cre): Breton-Honeyman, Kaitlin Nell, Thesis advisor (ths): Furgal, Chris M, Degree committee member (dgc): Hammill, Michael O, Degree committee member (dgc): Hickie, Brendan, Degree granting institution (dgg): Trent University
Abstract:

Socio-ecological systems are inherently complex and marine mammals are fundamentally challenging to study. In the Arctic, marine mammals occupy a central ecological role, as nutrient cyclers and as a source of food and culture for Indigenous peoples. Inuit have developed a rich knowledge system, which has not been fully actualized in application in most Arctic research. Considering the need for the best available information in marine mammal ecology, the research question guiding this dissertation was: How can multiple methods and approaches be used to more effectively gather, understand, and represent Inuit Knowledge for an improved understanding of marine mammal ecology?

The dissertation investigates this question using a case study of beluga in Nunavik (Arctic Quebec) drawing on the expertise of hunters and Elders to better understand complex questions in marine mammal ecology. The thesis uses a transdisciplinary approach to address the dissertation objective and is comprised of a general introduction, followed by four chapters formatted as journal manuscripts, and closes with an integrated discussion and conclusion. The first manuscript examines the contributions of Traditional Ecological Knowledge (TEK) of beluga to marine mammal literature. The second manuscript uses a sub-set of data gathered through participant mapping to apply a mapping method to explore how the spatial aspects of TEK could be better documented, analyzed, and represented. The third and fourth papers are based on the knowledge shared by hunters and Elders. The third explores the questions 'why do beluga migrate?' and 'what factors influence beluga movement?'. The fourth investigates aspects of beluga foraging ecology.

This dissertation makes methodological contributions through the application of kernel density estimators to participant maps as a method for transforming multiple mapped narratives into a quantitative database. The understandings shared by hunters and Elders make significant ecological contributions, particularly to foraging (e.g. diet composition and seasonal energy intake), and movement ecology (e.g. potential drivers of migration). Broadly these findings contribute to our collective understanding of beluga ecology and have implications for wildlife management.

Author Keywords: Arctic, Beluga biology, foraging ecology, Inuit Knowledge, migration, transdisciplinary

2017