Eric Sokol

Eric Sokol is a quantitative ecologist on the Data Products team at NEON, and works primarily with data that relate to organisms, populations, and communities. He also contributes the development of open source code to access and use NEON data. Do not hesitate to contact him if you have questions about how to access observational data products (i.e., any data set that involves the collection of samples or observations by humans), using NEON data with R, or general questions about data discoverability and synthesis using long-term data in ecology.

He has a background studying community ecology of aquatic insects in headwater streams in the southern Appalachians where he conducted his Ph.D. research. During that time, he became interested in applying metacommunity theory to understand patterns in biodiversity and developed a metacommunity simulation package for R (MCSim). His current interests include metacommunity dynamics in river networks, spatial patterns in diatom and soil microbial biodiversity in the McMurdo Dry Valleys in Antarctica, synthesis of long-term trends in biodiversity, and promoting reproducible research and open and FAIR data in ecology and the environmental sciences.

More about the LTER Metacommunities working group:

• https://github.com/sokole/ltermetacommunities
• https://nco.lternet.edu/synthesis/current-working-groups/

More about metacommunity simulations and the MCSim package for R:

• https://github.com/sokole/MCSim
• http://rpubs.com/sokole/159425
• http://mcm.lternet.edu/content/metacommunity-dynamics-simulations-diatoms-antarctic-ponds

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