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In population ecology, biologists zoologists and natural scientists 
study how a large number of individual (a population) over a large 
territory behave over time.
The focus is often to model some of the characteristic of the 
environment, such as resource availability, temperature or water level, 
and to predict how the population evolves, both in the short term with 
individual animals moving and migrating from place to place and over 
long term, with a possible genetic drift of the overall population.

To this aim, I'm presenting the first draft of a formal language able to 
specify single individuals (agents) with their genetic makeup as they 
live in a complex, heterogeneous environment and react to changing 
conditions.
A real environment can be quite complex so the language must allow its 
definition to include spatial features like a hierarchical structure as 
well as relations between sibling compartments.
Moreover, agents must be able to communicate through the environment 
with signals that thus should be traveling through barriers and boundaries.

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