Double rain

Before I studied juncos in California, I studied House Wrens in New York. Most days in the spring and summer I biked from my basement apartment to my field site, which had the no-nonsense label Unit One. The bike ride was an adventure in itself: I prepped for the field season by relearning how to stay on a bike, which I hadn’t done since childhood. (Contrary to the popular saying, it appears I can forget how to ride a bike.) On my way to Unit One I often came upon large snapping turtles stumping deliberately across the road, on the turtle-slow prowl for places to lay their eggs.

snapping_turtle

Unit One was primarily a field site for studying Tree Swallows. The front half of it was short grass broken up by regular rectangular ponds, over which the swallows stooped and swirled. House Wren territory lay past the manicured domain of the swallows, in forest dense with brush and mosquitoes. At the start of the field season I feared getting lost in it: the paths were overgrown, and I have a poor natural sense of direction.

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Think like a scientist: check your sources

In scientific papers we are very strict about citing sources. Not only do we put a list of our references at the end of papers, but we also indicate which reference gave us which fact right there in the text: “junco fledglings have big fuzzy eyebrows (LaBarbera 2012).” This makes fact checking easy.

Scientists writing for the general public don’t usually do this. Depending on the form of a science-for-a-general-audience column, references may all be at the end only, or they may not be there at all. When researchers write about their own research without any citations, saying “My research shows…” and “Many studies have found…” but not actually citing them, it’s up to you to either blindly believe them (don’t do this) or to check their sources yourself. If they do good research, this shouldn’t be hard.

Sometimes a "research" column is like a coot: fine at first glance, but when you look close, really creepy feet. You followed that analogy, right?

Sometimes a “research” column is like a coot: fine at first glance, but when you look close, really weird feet.
You know what I mean.

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Seeing through scales and walking with six legs

There are a lot of scientific journals out there. There are the big shots (Science, Nature), the bird journals (The Auk, The Condor), the topic-specific (Behavioral Ecology), etc. And then there is The Journal of Experimental Biology, or JEB. I love JEB. It claims to be the journal for “comparative animal physiology” but that doesn’t cover the half of it. JEB is about crazy, wonderful strangeness—strange animals and strange scientific methods. Following are two characteristically odd JEB studies: snake eyes and how walking sticks walk.

Leucistic (lacking pigment) black rat snake is looking at YOU.

Leucistic (lacking pigment) black rat snake is looking at YOU.

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How I got into research

In the sciences we think a lot about how to recruit more [insert underrepresented group here]. There are a lot of challenges to this, such as that many people may not know that there are real paying jobs to be had studying animals/chemicals/theoretical physics, or that many entry-level research positions pay next to nothing so you have to have a certain level of financial security just to start out in the field. But even if you know the jobs exist, and even if you have figured out the finances somehow, you still have to have the confidence to go for it, and that can be difficult. It’s easy to think that you don’t know enough to start research, or that everyone else must know more than you do.

So this is How I got into research: or, I promise you are not less qualified than I was, so just go for it.

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Another freelance science mouse

A few months ago, my labmates who study chipmunks enlisted the help of one of my pet mice to test-run a chipmunk-monitoring device that they are hoping to use in the field this summer. That went well, and now they’re calling on another one of my mice for a simpler test: to see how long the glue they’re planning to use will keep their device attached to rodent fur. They want glue that will stay attached long enough for them to get good data, but not so long that the monitor becomes a permanent part of a chipmunk’s life.

Since chipmunks spend a lot of time in burrows, we chose my most burrow-loving mouse, who likes to spend all of his time hiding underneath things. He was not pleased to be forced out into the open.

Porter with the test chip glued to his back

Porter with the test chip glued to his fur

So far he hasn’t seemed to care a bit about the chip. However, he is quite annoyed that I now dig him up daily to check whether it is still attached. He’s not really a people mouse.

PLEASE just leave me alone.

PLEASE just leave me alone.

Much better.

Much better.

Research is personal (two quotes)

Quote 1 – preface to reviews accompanying the rejection of my application for a grant

“In reading the reviews, please keep in mind that the reviews are… [not addressed] to you, the investigator… Some reviews may contain irrelevant, non-substantive, erroneous or ad hominem statements.”

I love that last sentence – it’s both horrible and hilarious. I would probably find it less hilarious if there had actually been any ad hominem attacks in the reviews I received, but my reviewers were all professional. I can easily imagine how there might be less professionally objective reviews, however.

"This applicant is, personally, the sole reason why we haven't solved deforestation and climate change! Not only shouldn't we give her money, we should actually steal money from her when she isn't looking! Come on, Review Committee, who's with me?"

“This applicant is, personally, the sole reason why we haven’t solved deforestation and climate change! Not only shouldn’t we give her money, we should actually steal money from her when she isn’t looking! Come on, Review Committee, who’s with me?”

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Statistics: not lying is harder than you think

In order to make sense of the data I collect, I use statistics. The statistical tools available for data analysis these days are pretty incredible, leaps and bounds ahead of the simple, classical statistics like chi-square, which worked great – if you had perfect data.

Field biologists like me don’t have perfect data. We have really, really terrible data, from a statistical perspective. We have unbalanced sample sizes, measuring 15 birds here, 21 here, 9 there; we have data with weird things in common, like measurements from different groups of nestlings, some of which are siblings; and we always have tons of noise in our data – because it was weirdly rainy that year, and also hot, and also the oak trees put out more acorns than usual, and that one chick was from a runt egg, and…

Excuse me, I generate only AWESOME data.

Excuse me, I generate only AWESOME data.

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