Indigenous knowledge systems, seasonal ‘quality’ and climate change adaptation in Zimbabwe

Climate Research

P. Chivenge¹  O. Jiri¹  P. L. Mafongoya¹ 

关键词: Indigenous knowledge;    Smallholder farmers;    Weather forecasting;    Food security;    Agronomy;   

DOI  :  10.3354/cr01334

来源: Inter-Research Science Publishing

【 摘 要 】

ABSTRACT: Farmers use a variety of local indicators for weather forecasting and climate prediction, in order to adapt to climate variability and change. Integrating indigenous knowledge systems (IKS) with the efforts of climate scientists can contribute to effective on-farm adaptation initiatives. The objective of this research was to identify IKS used by Zimbabwean farmers to predict seasonal weather patterns, and their adaptation strategies in response to these predictions. The information was collected using focus group discussions, household surveys, and ethnographic interviews. Most farmers (72.2%) indicated that low rainfall is the major limitation to agricultural production. Without access to reliable local scientific weather forecasts, the farmers use tree phenology, animal behaviour and atmospheric circulation as sources of local knowledge to predict the onset and ‘quality’ of the season. These forecasts are then used for designing crop choices, planting dates and agronomic practices. Our results show that the use of IKS in local farming communities is an effective way of building coping and adaptation strategies. The results also revealed that indigenous knowledge is being eroded and is becoming less accurate in seasonal weather prediction. Therefore, future studies on IKS could explore the use of multiple methods that combine indigenous knowledge and scientific weather data in order to obtain more complete and accurate information for the prediction of local area seasonal characteristics.

【 授权许可】

Unknown