Terraforming Mars on Earth, giant larvaceans, conservation jobs, and more! Monday Morning Salvage: May 8, 2017
Fog Horn (A Call to Action)
- The time to save the EPA is now! The EPA is seeking public input on the new administrations approach to environmental regulations. They are required to seek public input. They are required to respond to public input. Go tell them how you feel. Public comments close May 15. Here’s the docket with instructions on how to comment: Evaluation of Existing Regulations. We’ve even prepared a script for you.
Flotsam (what we’re obsessed with right now)
- On a tiny island in the middle of the Atlantic, a terraforming project a century-and-a-half in the making is underway. A 150-year-old experiment on the remote Ascension Island may help us green Mars. Can it also help us save Earth?
- It also happens to be longtime friend of Southern Fried Science Clare Fieseler’s first major story for National Geographic, so go follow her on twitter.
Jetsam (what we’re enjoying from around the web)
- Women have a crucial—yet often overlooked—role in fisheries. The Invisible Fishing Fleet by Ilima Loomis at Hakai Magazine.
- “What do you do when you’re a graduate student and you’ve been sexually assaulted by the PI of a very exciting paleoanthropological site?” An incredibly powerful piece by Holly Dunsworth: In case this helps you: This happened to me while I was trying to become a paleoanthropologist.
- The general theme of this site appears to be ‘humans are terrible, robots are awesome’. Staying on brand: In a first, deep sea robots get a close look at giant larvaceans, a key player in the biological carbon pump.
- Deep-sea mining is really heating up. Locals threaten armed campaign against PNG seabed mine.
- In the Pacific Northwest, the diligence of citizen scientists is shedding light on the lives, and deaths, of seabirds. Drawing Meaning from Death, One Seabird at a Time by Larry Pynn at Hakai.
- This is a pretty great demonstration of how statistics can be used to mislead: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.