Détails Publication
Farmers’ Perception of Indigenous Seasonal Forecast Indicators in North Central Burkina Faso,
Auteur(s): KABORE Pamalba Narcise, ZON Aboubacar-Oumar, BAMBARA Dasmané, KOUSSOUBE Souleymane, OUEDRAOGO Amadé
Auteur(s) tagués: OUEDRAOGO Amadé
Renseignée par : OUEDRAOGO Amadé
Résumé

West African Sahel is one of the most exposed areas to the adverse effects of climate variability in the world. All agricultural production system s are affected. However, farmers use indigenous knowledge that enable them to make short, medium, and long term seasonal predictions in order to adapt their agricultural calendar to these climatic risks. In the North Central region of Burkina Faso, th is knowledge is not well docu mented. Therefore, this study aimed to identify the indigenous indicators of seasonal forecasts and analyze factors affecting their reliability. Surveys were carried out in focus group discussions with 204 farmers in 10 localities across the region. Result s showed that farmers use meteorological (cold, heat, wind, clouds, rainfall distribution ), biological (food plants phenology, migratory bird behaviour, occurrence of insects), astronomical (sun, moon, stars), religious or magical indicators to predict the coming rainy season. The intensity and duration of the cold period, heat intensity and the formation of dark cloud s (April May) are signs of an early start of the rainy season (or a wet season). Likewise, the abundant leafing, flowering and fruiting of Vi tellaria paradoxa , Lannea microcarpa, Lannea acida , Adansonia digitata and Tamarindus indica (April May) predict a wet rainy season, while abundant fruiting of Sclerocarya birrea indicates a drought. The arrival period (May June) of migratory birds heralds a start of the season. Nowadays, climate change, the degradation of plant resources and increasing human pressure are affecting the reliability of these indigenous seasonal fore cast indicators in the North Central region of Burkina Faso.

Mots-clés

ad aptation, indigenous knowledge, seasonal forecasts

939
Enseignants
5607
Publications
49
Laboratoires
84
Projets