Modelling ecological communities as if they were DNA
  Ecologists are interested in understanding and predicting how ecological communities change through time. While it might seem natural to measure this through changes in species' abundances, computational limitations mean transitions between community types are often modelled instead. We present an approach inspired by DNA substitution models that attempts to estimate historic interactions between species, and thus estimate turnover rates in ecological communities. Although our simulations show that the method has some limitations, our application to butterfly community data shows the method can detect signal in real data. Open source C++ code implementing the method is available at http://www.github.com/willpearse/lotto. 
William D. Pearse, Andy Purvis, David B. Roy, and Alexandros   Stamatakis
q-bio.QM q-bio.PE