And the winners of #ArthropodsGotTalent Spring 16 are: 1) For coolest antipreatory defense - the bomberdier #beetle ! 2) For best parasite - the tongue eating louse! 3) For behavior - the Pacific cleaner #shrimp ! (Called it!🤣) 4) For coolest predator - the tiger beetle!
My #zoology Spring 16 class has spoken, and for coolest antipreatory defense in an #arthropod - the bomberdier #beetle takes the cake!
Things that worked well:
- anonymous voting on favs via @Socrative
- giving students a PPT template to follow
- specifying a few categories their choices had to fit into
Modifications to #ArthropodsGotTalent will be aimed at accomplishing the following:
- getting more discussion/debate among students
- building better slides (...too many words!!!)
All in all, this was a fun #biodiversity activity & we all learned something new (myself included!)
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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…)
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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)