id okr-10986-10799
recordtype oai_dc
spelling okr-10986-107992021-06-14T10:59:28Z Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting Roncoli, Carla Kirshen, Paul Ingram, Keith Jost, Christine INDIGENOUS KNOWLEDGE SCIENTIFIC FORECASTING RAINFALL MEASUREMENT CASE STUDIES CLIMATIC CHANGE RAINFED AGRICULTURAL AREAS FARM MANAGEMENT KNOWLEDGE-SHARING ANIMALS CATTLE CLIMATE COTTON CROP CROPPING CROPPING SYSTEMS CROPS DIET DROUGHT DRY SEASON FARM FARMER FARMERS FARMING GRAIN HERDERS INDICA LIVELIHOODS MAIZE NEGOTIATIONS PASTORALISTS PLANTING PONDS PRODUCE RA RAINFALL RAINY SEASON SCIENTIFIC KNOWLEDGE SCIENTISTS SEA SOIL SOIL TYPES SORGHUM TREES WATER LEVEL WATER REQUIREMENTS WATER SOURCES WATER TABLE WINDS This case study describes how farmers in Bonam, a village in rural Burkina Faso, predict seasonal rainfall, and, examines how their forecasts relate to scientific ones. The research shows that farmers are used to operate in multiple cognitive frameworks, though are interested in receiving scientific forecasts, given the perception that local forecasts are becoming less reliable due to increasing climate variability. However, understanding local cultural models, is essential to effectively conduct research, and develop technology. The note compares the shared knowledge, i.e., environmental indicators used locally to predict rainfall, and, that of specialized knowledge, which in contrast, is based on spiritual practices, being the prerogative of select groups. Thus, integrating local and scientific forecasts must be presented in ways that conform to cultural notions, conceiving the nature of knowledge. Findings nonetheless, suggest a convergence between local, and scientific forecasts, but also a divergence in terms of practical significance, propelling the challenge of addressing the consequences, and context of its uses: scientists, policymakers, and development practitioners should work towards devising an approach to improve the flexibility of local production systems. 2012-08-13T13:09:10Z 2012-08-13T13:09:10Z 2001-12 http://documents.worldbank.org/curated/en/2001/12/1660263/burkina-faso-integrating-indigenous-forecasting-scientific-rainfall-forecasting http://hdl.handle.net/10986/10799 English Indigenous Knowledge (IK) Notes; No. 39 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Brief Publications & Research Africa Burkina Faso
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic INDIGENOUS KNOWLEDGE
SCIENTIFIC FORECASTING
RAINFALL MEASUREMENT
CASE STUDIES
CLIMATIC CHANGE
RAINFED AGRICULTURAL AREAS
FARM MANAGEMENT
KNOWLEDGE-SHARING ANIMALS
CATTLE
CLIMATE
COTTON
CROP
CROPPING
CROPPING SYSTEMS
CROPS
DIET
DROUGHT
DRY SEASON
FARM
FARMER
FARMERS
FARMING
GRAIN
HERDERS
INDICA
LIVELIHOODS
MAIZE
NEGOTIATIONS
PASTORALISTS
PLANTING
PONDS
PRODUCE
RA
RAINFALL
RAINY SEASON
SCIENTIFIC KNOWLEDGE
SCIENTISTS
SEA
SOIL
SOIL TYPES
SORGHUM
TREES
WATER LEVEL
WATER REQUIREMENTS
WATER SOURCES
WATER TABLE
WINDS
spellingShingle INDIGENOUS KNOWLEDGE
SCIENTIFIC FORECASTING
RAINFALL MEASUREMENT
CASE STUDIES
CLIMATIC CHANGE
RAINFED AGRICULTURAL AREAS
FARM MANAGEMENT
KNOWLEDGE-SHARING ANIMALS
CATTLE
CLIMATE
COTTON
CROP
CROPPING
CROPPING SYSTEMS
CROPS
DIET
DROUGHT
DRY SEASON
FARM
FARMER
FARMERS
FARMING
GRAIN
HERDERS
INDICA
LIVELIHOODS
MAIZE
NEGOTIATIONS
PASTORALISTS
PLANTING
PONDS
PRODUCE
RA
RAINFALL
RAINY SEASON
SCIENTIFIC KNOWLEDGE
SCIENTISTS
SEA
SOIL
SOIL TYPES
SORGHUM
TREES
WATER LEVEL
WATER REQUIREMENTS
WATER SOURCES
WATER TABLE
WINDS
Roncoli, Carla
Kirshen, Paul
Ingram, Keith
Jost, Christine
Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting
geographic_facet Africa
Burkina Faso
relation Indigenous Knowledge (IK) Notes; No. 39
description This case study describes how farmers in Bonam, a village in rural Burkina Faso, predict seasonal rainfall, and, examines how their forecasts relate to scientific ones. The research shows that farmers are used to operate in multiple cognitive frameworks, though are interested in receiving scientific forecasts, given the perception that local forecasts are becoming less reliable due to increasing climate variability. However, understanding local cultural models, is essential to effectively conduct research, and develop technology. The note compares the shared knowledge, i.e., environmental indicators used locally to predict rainfall, and, that of specialized knowledge, which in contrast, is based on spiritual practices, being the prerogative of select groups. Thus, integrating local and scientific forecasts must be presented in ways that conform to cultural notions, conceiving the nature of knowledge. Findings nonetheless, suggest a convergence between local, and scientific forecasts, but also a divergence in terms of practical significance, propelling the challenge of addressing the consequences, and context of its uses: scientists, policymakers, and development practitioners should work towards devising an approach to improve the flexibility of local production systems.
format Publications & Research :: Brief
author Roncoli, Carla
Kirshen, Paul
Ingram, Keith
Jost, Christine
author_facet Roncoli, Carla
Kirshen, Paul
Ingram, Keith
Jost, Christine
author_sort Roncoli, Carla
title Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting
title_short Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting
title_full Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting
title_fullStr Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting
title_full_unstemmed Burkina Faso - Integrating Indigenous and Scientific Rainfall Forecasting
title_sort burkina faso - integrating indigenous and scientific rainfall forecasting
publisher World Bank, Washington, DC
publishDate 2012
url http://documents.worldbank.org/curated/en/2001/12/1660263/burkina-faso-integrating-indigenous-forecasting-scientific-rainfall-forecasting
http://hdl.handle.net/10986/10799
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