I enrolled in GEO/WRI 201, Measuring Climate Change: Methods in Data Analysis & Scientific Writing, last Fall to challenge myself and learn how to integrate field work, scientific analysis, and writing. Although I already had cursory experience in these areas thanks to a Freshman Seminar on Biogeochemistry in the Everglades and a summer of assisting ecological fieldwork in Mozambique, I had never created and executed my own field project from start to finish. In my naiveté, I presumed that although the course would be difficult, I would conduct research that had a clear and established “finish-line”—and that I would reach it.
My project centered around quantifying changes in vegetation cover in Utah over the past twenty years using satellite imagery. The first couple months of the class were frustrating and I floundered across the deadlines. Most of the science courses I had taken offered a framework: a set of given questions with specific, correct answers. In real research, I found, you must create the questions—and they don’t necessarily have “correct” answers.
Successful research is based on convincing motive that builds off of key literature to contextualize and explain the broader importance of a specific research question.
Despite my struggles, the project seemed to be coming along. Using images from multiple Landsat satellites, I created a beautiful figure showing a steep decline in vegetation tightly correlated with rising temperatures and decreasing rainfall. Genuine results linking changing climate to remotely sensed vegetation! I was thrilled.
However, after weeks of writing and data analysis, I discovered that the seemingly important trends I was writing about were–to put it bluntly–garbage. In a peer review session, another student in the class hypothesized that the apparent decline in vegetation might be simply an artifact of comparing imagery from different Landsat satellites. I scoffed–but I also started to worry.
Continue reading When Research Fails: Turning a Fiasco into Real Motive
