Assessing vulnerability of Arctic fish species to climate change

Abstract

Paper summary generated by OpenAI: This study assesses the vulnerability of 21 Arctic fish species in the western Canadian Arctic to climate change using a fuzzy logic approach. By analyzing climatic hazards such as rising temperatures, decreasing sea ice cover, and acidification, the research identifies significant risks and vulnerabilities faced by these species by 2050. The findings reveal that shallow areas are particularly susceptible to multiple climate impacts, with species exhibiting low adaptability and high sensitivity to these hazards. The results provide critical insights for marine spatial planning and climate adaptation strategies aimed at conserving biodiversity and sustaining ecosystem health in a rapidly changing Arctic environment.