The impacts of climate change and disaster risk on the poultry sector (e.g. chicken) are mounting in an exponential manner. The challenges posed by these two threats fit roughly on the productivity losses, cost escalations and vector-borne diseases.
This study presents the quantification of the risks using a USEPA standard risk modeling, the Monte Carlo Modeling/Simulation, focusing on the probable enigmatic scenario that may happen in the future. Geographical Information Systems (GIS) is also used to determine the most vulnerable areas due to the vast poultry farm peripheries.
Adaptation strategies and disaster risk reductions schemes such as housing system, cool buildings and other temporary confinements are proposed to cope up with the varying climatic conditions.