This study examined data on the status of three northern mammal species – caribou/reindeer, Pacific walrus, and polar bear—during two decades of the ongoing Arctic warming. The emerging record may be best approached as a series of local human-animal disequilibria interpreted from different angles by population biologists, indigenous peoples, and anthropologists, rather than a top-down climate-induced ‘crash.’ Such new understanding implies the varying speed of change in the physical, animal, and human domains, which was not factored in the earlier models of climate–animal–people’s interactions.

This project looks at the effects of short and long term climatic change on caribou populations in the Arctic. The research concluded that Arctic ecological studies require extensive spatial and temporal data before impacts of anthropogenic climate change can be assessed. This will require a long-term interdisciplinary study integrating scientific data from several disciplines, as well as Inuit knowledge.

This master's project focuses on the Inuvialuit Settlement Region (ISR) in the western Canadian Arctic, which is experiencing environmental changes that affect subsistence harvesting practices and are of concern to local communities. In order to assess the impacts of multiple disturbances on culturally important ecosystems in the ISR, researchers created a cumulative disturbance map that represents relative intensity of terrestrial disturbances across the study region. They assessed levels of disturbance in harvesting and management areas, modeled future disturbance scenarios, and assessed the potential for conserving large contiguous areas of unaffected harvesting lands.

This project is part of an holistic approach to assess impacts of climate change on Arctic terrestrial ecosystems. It focuses on current, short-term phenotypic, and longer-term genetic responses of plant, animal (including caribou) and microorganism species to a changing climate and UV-B regime. Information in the study is taken from indigenous observations, scientific monitoring, experiments and models.