Coding for Conservation
By Elizabeth Bach
Ecosystem Restoration Scientist
It’s a chilly, rainy spring afternoon, and I sit in front of the computer. Yet I can feel the heat of a sticky August afternoon, hear the whine of cicadas, and see the golden blooms of sunflowers. Mentally, I’m systematically walking through the prairie, carefully identifying all the plants. At Nachusa, many of us, myself included, find working outside in the prairies, savannas, and wetlands most rewarding. However, there is an incredibly important part of conservation work that happens at the computer: data entry and analysis.
As the staff scientist at Nachusa, one of my primary duties is to analyze and share data. My primary tool for this work is a free program called “R.” In R, I can manipulate data, produce graphs, run statistical tests, and even produce a final report. Analyzing these data helps everyone at Nachusa refine restoration practices, inspires new ideas, and deepens our knowledge of the habitats and the organisms that live there. Sharing these data in presentations and publications allows us to share lessons learned and best practices used at Nachusa with others in both the conservation and scientific communities. In turn, we also learn from data from other sites. At Nachusa we are lucky to have several scientific researchers working at the site, who collect, analyze, and share data with us. We also have some data, collected over the years by The Nature Conservancy staff and collaborators, which haven’t been analyzed and shared. A key goal for Nachusa is to analyze these legacy datasets and share them.
All this brings me back to my computer on an early spring afternoon. When there is less work to be done outside, I’m busy working with datasets on the computer, building graphs, thinking through which metrics best represent the observations made on the prairie, and building statistical models to understand how the Nachusa ecosystem has changed and how it might continue to change into the future. All this work is done with a few lines of code on the computer. While very different from the outdoor joys and challenges of data collection, there are both joys and challenges with this work.
I often think of data analysis as a mystery to solve. What will the data show? What will I learn? How might this challenge or confirm observations from other scientists in other places? Every dataset is a new adventure, and I find a sort of excitement in that. It can also be frustrating. I spend a lot of time finding and correcting mistakes. There is no travel guide to inform my decisions. Fortunately, I can work with collaborators as travel buddies on these adventures, to bounce ideas off them, and gain a new perspective. One of the joys of working at Nachusa is being at the intersection of many paths of scientific research and natural history observation. Working with people with different expertise, skills, and perspectives deepens my understanding of science, the tallgrass prairie, and Nachusa.
Elizabeth Bach is the Ecosystem Restoration Scientist at Nachusa Grasslands. She works with scientists, land managers, and stewards to holistically investigate questions about tallgrass prairie restoration ecology.
5/19/2020 04:52:08 pm
I'm glad I don't have to do that kind of work now. Especially, the finding and correcting mistakes part. There are few things in the world I find as frustrating as troubleshooting code. Honestly, I often don't understand how the data is connected to the end graphic in ecological articles. Although, I don't think the scientists always understand how everything works either. They just input the data and poof, there is a nice chart with all these esoteric statistics. Kudos to Elizabeth for working on this stuff, even if I won't ever understand how it all works.
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I am a nature photographer, a freelance graphic designer, and steward at Nachusa's Thelma Carpenter Prairie. I have taken photos for Nachusa since 2012.
I have been a high school French teacher, registered piano technician, and librarian. In retirement I am a volunteer historian at Lee County Historical and Genealogical Society.
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