Analyzing Data

What question can we ask of our data to help us understand the adaptive capacity of salmon? How might that lead to additional questions or new lines of TDC research?

In this module, using

FieldScope’s data visualization tools, students explore datasets to identify trends in salmon survival and thiamine deficiency, constructing evidence-based explanations about the factors influencing resilience. They engage in Claims–Evidence–Reasoning (CER) argumentation to communicate what their data reveal highlighting the iterative and ongoing nature of scientific investigation. Students then extend their analyses to consider how past and present human decisions such as the damming of rivers, land and water management, and climate change affect salmon

populations. Students examine how multiple stressors and management choices interact within

complex socio-ecological systems. They use and revise their models to predict future scenarios, evaluate potential interventions, and communicate their recommendations to authentic audiences. This culminating module brings together the core practices of the Spinning Salmon Program: students use their own data to understand the problem and engage in informed decision making.