What is it about?

The impact of natural disasters, many of which are caused by extreme weather and climate events, are often experienced by local communities. These communities then use their indigenous knowledge to respond to disasters firsthand. This traditional, local knowledge (LK) is very useful. It could be leveraged to formulate disaster reduction and adaptation plans. How can this be done, though? The authors of this paper have an answer! In a novel approach, they first linked LK to community disaster risk management. Then, they built a conceptual model based on LK. This model could connect extreme climate, LK, disaster risk management, and farmers’ adaptation strategies. It was then tested on traditional nomads in China. It found that local populations could manage extreme climates using adaptation strategies derived from LK.

Featured Image

Why is it important?

LK has stood the test of time, being passed on over many generations. Moreover, it is a holistic system. It encompasses the whole disaster management process. Hence, it could help us cope with recurrent extreme events. It could also assist in identifying unusual environmental conditions. For these reasons, LK is very valuable. The integration of LK with disaster management may serve as a basis to develop appropriate strategies to deal with extreme weather events and climate change. KEY TAKEAWAY: LK contains relevant knowledge about disaster risk management. Hence, it must be safeguarded. Local communities, which are the source of LK, should be protected. This will help us develop resilient climate change strategies Keywords

Read the Original

This page is a summary of: The Role of Local Knowledge in the Risk Management of Extreme Climates in Local Communities: A Case Study in a Nomadic NIAHS Site, Journal of Resources and Ecology, July 2021, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, DOI: 10.5814/j.issn.1674-764x.2021.04.011.
You can read the full text:



Be the first to contribute to this page