Coping with uncertainty
If you are familiar with the television series Breaking Bad, then you probably recognize the name Heisenberg. Werner Heisenberg was a theoretical physicist best known for his uncertainty principle, which states (paraphrasing) there will always be a fundamental limit to the accuracy we can achieve for an estimated or predicted value. That said, a primary goal for scientists is to strive to reduce the uncertainty of results.
Consider wildlife abundance estimates. Accurate and precise population abundance estimates are “the coin of the realm” in wildlife biology. When accuracy and precision are high, uncertainty is low, and managers feel confident using those abundance estimates to inform essential management actions.
One of the ways to reduce uncertainty is to increase sample size—i.e., the number of observations analyzed. You can probably see the conundrum here for polar bear research: How do you increase sample size when the number of bear-able days is declining?
Our solution has been to invest in diversifying the methods for collecting data. Capture and handling bears (collecting measurements, taking samples for health assessments, and attaching tracking devices) yields the most diverse and highest quality data. Yet, deteriorating ice conditions are already impacting our work and will make capture less feasible in the years to come. Looking ahead, it will be important to adapt data collection methods to the sea ice conditions encountered during a given field season. In years when capture is infeasible, field crews will need to seamlessly switch to remote sampling methods like biopsy darting, passive genetic sampling (e.g., hair and scat collection), and observational surveys, even though they yield less data. We are also investing in developing statistical methods that can integrate multiple data sources, including Indigenous Knowledge.
A final thought
I often think about that first bear I saw in 2012. I wonder if she’s still alive (if so, she’d be 30 years old) and how she coped with the dramatic changes to sea ice habitat that occurred over her lifetime. Polar bear researchers also face challenges—not existential like the bears, but in continuing to provide rigorous science to guide conservation efforts. The U.S. Geological Survey’s Polar Bear Research Program is working to meet those challenges head-on. But time is running short to reduce greenhouse gas emissions, conserve Arctic sea ice, and ensure the long-term persistence of polar bears.
Dr. Todd Atwood is a research biologist and project leader with the U.S. Geological Survey’s Polar Bear Research Program. He has studied polar bears since 2012.