In the field of ecoinformatics, synthetic ecologies approach intends to reproduce in silico the architecture and functioning of a real domain 'as it works'. When the systems to be represented are complex, bioinspiration is proposed as a relevant approach to develop robust modelling. This study aims to develop, using basic object-oriented paradigms, and in collaboration with biologists, a comprehensive synthetic ecology about a given application domain: wild rodents' population dynamics. To address the complexity of the field, the architecture is gradually grown and shaped from integration of successive and diverse case studies modelling in the application domain. Developed for more than ten years, the same model has made it possible to represent historical, cellular and/or ecological processes at the scales of a country, a region, a city or a laboratory as well as a diversity of interacting living beings. Results present how principles such as composition, aggregation, inheritance, generalization have been used to elaborate a synthetic ecology. These paradigms altogether constitute a rich, and improvable, toolbox offering a varied set of possible uses to formalize bioinspired landscape or ecologies.