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Computational Ecology and Open Science: Tools to Help Manage Lakes for Cyanobacteria in Lakes
Citation:
Kreakie, B., Jeff Hollister, F. Nojavan, Bryan Milstead, AND L. Mattas-Curry. Computational Ecology and Open Science: Tools to Help Manage Lakes for Cyanobacteria in Lakes. LAKELINE. North American Lake Management Society, Madison, WI, 35(2):24-27, (2015).
Impact/Purpose:
This is intended to be published in LakeLine, which is a non-technical audience communication for lake managers. This article explains how we used computational ecology to further cyanobacteria understanding.
Description:
Computational ecology is an interdisciplinary field that takes advantage of modern computation abilities to expand our ecological understanding. As computational ecologists, we use large data sets, which often cover large spatial extents, and advanced statistical/mathematical computational methods. This field is also fully entrenched in an ethos of open science and scientific reproducibility. Computational ecologists must have diverse skills as we are required to master data management and curation, coding, data analysis and visualization, in addition to our ecological expertise. Essentially, we use big computers and big data to move ecological understanding forward.
