Abstract--Global climate changes impact the biological and ecological resources on earth; indeed,
biological species (including Homo sapiens) are likely to be the most vulnerable. These changes will
influence the survival (or its opposite side, extinction) of biological species, both in the short term and
the long term. Even if we set aside the debates on the degree of climate change, the survival of
biological species in the global environment is still of critical importance to human beings because
biodiversity directly affects our environment and ultimately our own lives. In this paper, we
introduce a new distributed and agent-based simulation architecture for modeling the survival of
biological species under global climate changes from a global perspective. We approach the
problem from the perspective of engineering reliability and network survivability by modeling the
population dynamics of a biological species with survival analysis, and evolutionary game theory.
Similar approaches have been successfully applied to the study of reliability and survivability of
Wireless Sensor Networks