Challenged the #HerpFall2019 class to a timed writing competition for bonus points (and bragging rights).
They had 12 minutes to work in teams and write a response to this prompt:
"Why should the average person care about #herps ?"
Then I had 2 anonymous folks pick the top 2
Here is one of the winners briefly explaining why #herps matter. (Yes, there is room for improvement, but I think they're pretty decent for being put on the spot!)
😁🐸🐢🐍🦎
Here is the second winner explaining why #herps matter. This is my second year using this in-class activity and I really like listening to them brainstorm in their teams.
😁🐸🐢🐍🦎
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🏙️#Sex biases in the individuals studied in the lab & field. Why is it more often males of a species? What data are we missing because of that bias? 🤔
(Prompted by: onlinelibrary.wiley.com/doi/abs/10.111…)
3/4
Any recommendations for ways to collect data about color & pattern from images of #wildlife? We want to quantify things like %cover by a color & intensity.
Have enjoyed reading some of the work by Davis & Grayson on quantifying #color, hue, % coverage in #newts and other animals.
They used Fovea Pro, a Photoshop add in. The newer version (QIA-64) costs ~$800 😬
Am also considering the methods of Paterson & Blouin-Demers where they quantify continuous variation in throat color in #lizards using Adobe & ultimately analysis in #imageJ (but haven't had time to test it out yet)