This paper presents the application of a Multi-Level Agent Based Model technology to
describe a class of environmental problems. It is based on the Problem-in-Context (PiC) and AiC
(Action-in-Context) framework to describe and explain agent motivations and cooperation. We show
how the associated TiC (Tool-in-Context) develop can help the domain expert to describe in seminatural
language the problem of domain. This description not only provides a corresponding Domain
Specific Language. It is also the basis for TiC to generate a simulation tool. On the base of this, we
transform the Specific Language to NetLogo code, thereby facilitating an early prototype application to
be used by the domain expert. To validate and showcase our approach, we have used this approach
to explain and analyze the process of deforestation around the Laf-Madiam forest reserve. We discuss
the prototype resulting from our approach and show how it allows the domain expert to focus on the
social causes of environmental problems.