poster: indigenous knowledge for seasonal weather and climate forecasting across east africa

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Indigenous Knowledge for Seasonal Weather and Climate Forecasting across East Africa Maren Radeny, Mary Nyasimi, James Kinyangi, John Recha, Drake Mubiru, Henry Mahoo, Ayal Desalegn International Livestock Research Institute (ILRI), P. O. Box 30709-00100 Nairobi, Kenya Introduction Advance knowledge of climate information is important in helping farmers make decisions on resource allocation and type of agricultural enterprises in a season. Climate information coupled with agro-advisory services offers greater potential to enhance capacity of farmers to adapt to climate variability and climate change. In East Africa (EA), significant gaps still exist in provision of climate services for farmers, specifically downscaled location-specific forecasts, reliable, timely, and user-friendly climate information that effectively addresses farmer’s needs. Consequently, farmers often rely on indigenous knowledge (IK) for their seasonal forecasts, where locally observed variables and experiences are used to assess and predict the local weather conditions and climate e.g. onset of rains. However, IK is not widely documented and often passed on from one generation to another through oral history, thus creating a wide inter- generational gap between IK custodians and the young generation. Objective Document and synthesize existing IK in weather forecasting practices, including the major sources of climate information for farmers and pastoralists across East Africa. Methods We use case studies from four sites across three countries in EA—Ethiopia, Tanzania and Uganda. Sites represent the diverse farming systems in EA ranging from mixed crop- livestock to pastoral systems. Data were collected from 397 households, complemented with information from focus group discussions (FGDs), and key informant interviews. Conclusion Farmers and herders use these local indicators to make important agricultural production decisions. The biological IK indicators are more variable compared to the meteorological IK indicators. In Borana, IK forecasts are used to plan livestock mobility to reduce losses during drought conditions. Farmers in Ethiopia and Tanzania sites, considered IK a more reliable source of climate information. Therefore, a systematic documentation of IK and a framework for integrating IK forecasting with modern scientific forecasts can improve the accuracy of climate forecasts and would likely increase farmers’ trust and willingness to use scientific forecasts in EA. Indigenous knowledge weather and climate forecasting Farmers and pastoralists commonly use a combination of biological, meteorological and astrological local indicators for predicting weather. Meteorological indicators used to predict onset of rains include appearance and colour of the clouds, direction and strength of the wind, temperature and humidity, lightning and thunder, and appearance of less dew on the grass and plants. Learn more: ccafs.cgiar.org/ Biological indicators include animals and plants. Birds and insects are the key animal indicators. Some plants and trees are more sensitive to changes in atmospheric conditions than others - sprouting of young shoots of the Mvule tree indicates onset of the rainy season in Uganda. Astrological indicators were more pronounced among the pastoralists in Borana and include the alignment of the moon and stars, appearance and position of the moon, size and movement of the star. Traditional astrologists in Borana use seven stars (individual or in groups) locally known as Lemi that are believed to be very important for forecasting. Results Sources and types of climate information Differences in climate information sources across the sites. Almost all households in the pastoral system depend on indigenous sources and social networks for climate information. Radio is the most commonly used media to access climate and weather information in the mixed crop- livestock systems. 0 10 20 30 40 50 60 70 80 90 Wild bird Fischer's Lovebird Golden Oriole Hornbill Wild bird Chicken Duck Owl Coucal Swallows Percent of households Indicators based on birds in Lushoto References Chang’a L, Yanda P, Ngana, J. 2010. Indigenous Knowledge in Seasonal rainfall prediction in Tanzania: A case of the South-Western Highland of Tanzania. Journal of Geography and Regional Planning 3: 66-72. Egeru A. 2012. Role of Indigenous Knowledge in Climate Change Adaptation: A case study of the Teso Sub-Region, Eastern Uganda. Indian Journal of Traditional Knowledge 11: 217-224. Poster design by: S.Kilungu (CCAFS) Contact: Maren Radeny: [email protected] 0 20 40 60 80 100 120 Newspapers and television Village meetings Indigenous sources NGOs, researchers & extension workers Relatives, neighbours and friends Radio Percent of households Sources of climate information Rakai Hoima Lushoto Borana 0 20 40 60 80 100 120 Appearance of less dew on the grass/plants Lightning and thunder at night with no rain Very high temperatures at night Direction and strength of the wind Appearance of dark clouds Percent of households Meteorological indicators Rakai Hoima The onset and amount of rainfall are the most important information farmers receive. Other types of information include distribution and cessation of rainfall, duration of the cropping/rainy season, and severity of weather events (e.g. drought, floods, occurrence of strong winds). Indicates that the next main rainy season would be normal, a time of abundance, peace and love in Borana. 0 10 20 30 40 50 60 Reliable Somewhat reliable Not reliable Percent of households Reliability of climate forecast information in Lushoto Indigenous Scientific Occurrence of a halo moon (moon surrounded by yellow ring) indicates the likelihood of onset of rains for main and short seasons in Lushoto. Over 55% of farmers in Lushoto believe IK forecasts are reliable, while close to 38% believe scientific forecasts are not reliable.

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Indigenous Knowledge for Seasonal Weather and Climate Forecasting across East Africa Maren Radeny, Mary Nyasimi, James Kinyangi, John Recha, Drake Mubiru, Henry Mahoo, Ayal Desalegn

International Livestock Research Institute (ILRI), P. O. Box 30709-00100 Nairobi, Kenya

Introduction

Advance knowledge of climate information is important in helping farmers make decisions on

resource allocation and type of agricultural enterprises in a season. Climate information coupled

with agro-advisory services offers greater potential to enhance capacity of farmers to adapt to

climate variability and climate change. In East Africa (EA), significant gaps still exist in provision

of climate services for farmers, specifically downscaled location-specific forecasts, reliable,

timely, and user-friendly climate information that effectively addresses farmer’s needs.

Consequently, farmers often rely on indigenous knowledge (IK) for their seasonal forecasts,

where locally observed variables and experiences are used to assess and predict the local

weather conditions and climate e.g. onset of rains. However, IK is not widely documented and

often passed on from one generation to another through oral history, thus creating a wide inter-

generational gap between IK custodians and the young generation.

Objective

Document and synthesize existing IK in weather forecasting practices, including the major sources of climate information for farmers and pastoralists across East Africa.

Methods

We use case studies from four

sites across three countries in

EA—Ethiopia, Tanzania and

Uganda. Sites represent the

diverse farming systems in EA

ranging from mixed crop-

livestock to pastoral systems.

Data were collected from 397

households, complemented

with information from focus

group discussions (FGDs), and

key informant interviews.

Conclusion Farmers and herders use these local indicators to make important agricultural production decisions. The biological IK indicators are more variable compared to the meteorological IK indicators. In Borana, IK forecasts are used to plan livestock mobility to reduce losses during drought conditions. Farmers in Ethiopia and Tanzania sites, considered IK a more reliable source of climate information. Therefore, a systematic documentation of IK and a framework for integrating IK forecasting with modern scientific forecasts can improve the accuracy of climate forecasts and would likely increase farmers’ trust and willingness to use scientific forecasts in EA.

Indigenous knowledge weather and climate forecasting Farmers and pastoralists commonly use a combination of biological, meteorological and astrological local indicators for predicting weather.

• Meteorological indicators used to predict onset of rains include appearance and colour of the clouds, direction and strength of the wind, temperature and humidity, lightning and thunder, and appearance of less dew on the grass and plants.

Learn more: ccafs.cgiar.org/

• Biological indicators include animals and plants. Birds and insects are the key animal indicators. Some plants and trees are more sensitive to changes in atmospheric conditions than others - sprouting of young shoots of the Mvule tree indicates onset of the rainy season in Uganda.

• Astrological indicators were more pronounced among the pastoralists in Borana and include the alignment of the moon and stars, appearance and position of the moon, size and movement of the star. Traditional astrologists in Borana use seven stars (individual or in groups) locally known as Lemi that are believed to be very important for forecasting.

Results Sources and types of climate information Differences in climate information sources across the sites. Almost all households in the pastoral system depend on indigenous sources and social networks for climate information. Radio is the most commonly used media to access climate and weather information in the mixed crop-livestock systems.

0 10 20 30 40 50 60 70 80 90

Wild bird

Fischer's Lovebird

Golden Oriole

Hornbill

Wild bird

Chicken

Duck

Owl

Coucal

Swallows

Percent of households

Ind

icat

ors

bas

ed

on

bir

ds

in L

ush

oto

References Chang’a L, Yanda P, Ngana, J. 2010. Indigenous Knowledge in Seasonal rainfall prediction in Tanzania: A case of the South-Western Highland of Tanzania. Journal of Geography and Regional Planning 3: 66-72.

Egeru A. 2012. Role of Indigenous Knowledge in Climate Change Adaptation: A case study of the Teso Sub-Region, Eastern Uganda. Indian Journal of Traditional Knowledge 11: 217-224.

Poster design by: S.Kilungu (CCAFS) Contact: Maren Radeny: [email protected]

0 20 40 60 80 100 120

Newspapers and television

Village meetings

Indigenous sources

NGOs, researchers & extension workers

Relatives, neighbours and friends

Radio

Percent of households

Sou

rce

s o

f cl

imat

e in

form

atio

n

Rakai Hoima Lushoto Borana

0 10 20 30 40 50 60 70 80 90

Strong winds occurrence

Floods

Cessation of rainfall

Severity of weather events

Drought occurrence

Duration of cropping/rainy season

Rainfall distribution

Onset of rainfall

Rainfall amount expected

Percent of households

Typ

e o

f w

eat

he

r in

form

atio

n f

arm

ers

re

ceiv

e

Hoima Rakai Lushoto

0 20 40 60 80 100 120

Appearance of less dew on the grass/plants

Lightning and thunder at night with no rain

Very high temperatures at night

Direction and strength of the wind

Appearance of dark clouds

Percent of households

Met

eo

rolo

gica

l in

dic

ato

rs

Rakai Hoima

The onset and amount of rainfall are the most important information farmers receive. Other types of information include distribution and cessation of rainfall, duration of the cropping/rainy season, and severity of weather events (e.g. drought, floods, occurrence of strong winds).

• Indicates that the next main rainy season would be normal, a time of abundance, peace and love in Borana.

0

10

20

30

40

50

60

Reliable Somewhat reliable Not reliable

Pe

rce

nt

of

ho

use

ho

lds

Reliability of climate forecast information in Lushoto

Indigenous Scientific

• Occurrence of a halo moon (moon surrounded by yellow ring) indicates the likelihood of onset of rains for main and short seasons in Lushoto.

Over 55% of farmers in Lushoto believe IK forecasts are reliable, while close to 38% believe scientific forecasts are not reliable.