Indigenous knowledgefor disaster risk reduction: good practices and lessons learnt from Asia-Pacific region

Publication Date January 1, 2008
Author Shaw RUy NBaumwoll J
Countries :
Disaster Management Theme -
Disaster Type Tropical Cyclone
Document Type Research Paper
Languange English

Abstact :
This publication aims to build awareness for indigenous knowledge as an effective tool for reducing risk from natural hazard-related disasters. By improving the understanding of indigenous knowledge and providing concrete examples of how it can be successfully used, this publication hopes to inspire all practitioners and policy makers to consider the knowledge held by local communities and act to integrate this wealth of knowledge into future disaster-related work. It presents a collection of 18 indigenous practices which were developed over time in the communities in the Asia-Pacific region from China, India, Indonesia, Japan, Mongolia, Nepal, Pakistan, Papua New Guinea, Philippines, Solomon Islands, Sri Lanka,  Thailand, and Viet Nam. Types of disasters include earthquake, cyclone (typhoon), drought, and slides, river bank erosion, tsunami and zud. The cases were chosen based on the following criteria: origin of the knowledge, its relative level of adaptation over time, its relationship to local skills and materials, its success in surviving or coping with disasters over time, and its applicability to other societies facing similar situations.
The ASEAN Disaster Information Network (ADINet) is a repository of information concerning hazards and disasters that have happened in the region. The platform is open for public, which means that the public can submit information about any hazard and disaster to the AHA Centre. Thereafter, the AHA Centre will verify and validate any submitted information to ensure the accuracy of the data inputs. The AHA Centre can also add new information when relevant and as necessary. ADINet has been recording disaster information in the region since the AHA Centre was operational in 2012.

Supported by :

AHA-JAIF