Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia

Martha Kidemu; Martha Gebreyesus; Mihiret Semere; Adefires Worku; Agena Anjulo

doi:doi:10.11648/j.ijnrem.20200502.12

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Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia

Martha Kidemu, Martha Gebreyesus, Mihiret Semere, Adefires Worku, Agena Anjulo

Published in International Journal of Natural Resource Ecology and Management (Volume 5, Issue 2)

Received: 14 March 2020 Accepted: 27 March 2020 Published: 17 April 2020

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Abstract

Data on environmental problems of the area, local manifestations of climate change, climate change coping strategies, rainfall prediction mechanisms and their threats were collected in three systematically selected administrative units of the study area using focus group discussion, key informant interview and household (HH) survey from May to June, 2017. Focus group (FG) discussion that participate youth, elders, women, religion and tradition leaders and experts with average members of 15 was organized at each administrative units. Sample key informants (KI) were selected by the focus group members by setting criteria to get deep information. HH survey was conducted from randomly selected 92 HHs samples determined by Kothari (2004). Qualitative data analysis method was used to summarize the information. Results showed that environmental problems in the area are directly or indirectly related to climate. And the communities rely on their indigenous rainfall prediction using meteorological, astronomic and animal behavioral indicators. The main indicators are: wind direction, appearance and shape of cloud, star pattern, moon’s appearance, cattle behavior, chirping of bird, bee’s migration, and color of lake and appearance of rainbow. The study also depicted that most (85%) of the communities heavily rely on the indigenous knowledge for planning agricultural activities or early warnings for preparedness. However, it has been threatened due to critics by religious people, lack of trust of young generation, degradation of the indicators and lack of documentation. There is need for careful evaluation and enhancement for social-ecological resilience of the vulnerable communities.

Published in	International Journal of Natural Resource Ecology and Management (Volume 5, Issue 2)
DOI	10.11648/j.ijnrem.20200502.12
Page(s)	43-48
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

TEK, Indigenous Knowledge, Rainfall Prediction, Climate Change, Indicators

References

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[2]	C. Folke, “Resilience: The emergence of a perspective for social-ecological systems analyses,” Glob. Environ. Chang., vol. 16, no. 3, pp. 253–267, 2006.
[3]	W. Adefires, “Management of Dry Forests for Social-ecological Resilience of the Pastoral and Agro-pastoral Communities in the Dry Zone of Ethiopia. Dissertation: Technology University of Dresden, Faculty of Environmental Sciences, Germany.”
[4]	G. Raygorodetsky, “Why traditional knowledge holds the key to climate change. United Nations University,” 2011..
[5]	J. A. Parrota and M. Agnoletti, Traditional Forest-Related Knowledge and Climate Change, vol. 12, no. 2. 2012.
[6]	C. M. Enock, “Indigenous Knowledge Systems and Modern Weather Forecasting: Exploring the Linkages,” J. Agric. Sustain., vol. 2, no. 1, pp. 98–141, 2013.
[7]	G. Soropa, S. Gwatibaya, K. Musiyiwa, F. Rusere, G. A. Mavima, and P. Kasasa, “Indigenous knowledge system weather forecasts as a climate change adaptation strategy in smallholder farming systems of Zimbabwe: Case study of Murehwa, Tsholotsho and Chiredzi districts,” African J. Agric. Res., vol. 10, no. 10, pp. 1067–1075, 2015.
[8]	P. Mafongoya, Indigenous knowledge systems and climate change management in Africa, no. November. 2017.
[9]	A. Y. Dasalegn, D. Solomon, J. Yangi, J. Recha, and M. Radeny, “Opportunities and challenges of indigenous biotic weather forecasting among the Borena herders of southern Ethiopia,” Springerplus, vol. 4, no. 1, 2015.
[10]	T. Abate, “Contribution of Indigenous Knowledge to Climate Change and Adaptation Response in Southern Ethiopia,” J. Earth Sci. Clim. Change, vol. 7, no. 11, 2016.
[11]	E. I. Team and I. Aid, “ETHIOPIA CLIMATE ACTION REPORT FOR 2016,” 2017.
[12]	T. Gemechu, “Earth Science & Climatic Change Impact of Climatological Parameters on Crop Water Use of Maize and Sorghum : A Case of Adami-Tulu Jido-Kombolcha woreda, Central Rift,” vol. 7, no. 10, 2016.
[13]	T. Abera, Z. Mohammed, and M. Bekele, “Local People Perception on the Role of Area Exclosure in the Central Rift Valley of Ethiopia : a Case Study at,” Int. J. Sci. Res. Publ., vol. 6, no. 10, pp. 583–594, 2016.
[14]	A. M. Program, “Socio-ecological Functioning and Economic Performance of Rain-fed farming Systems in Adami Tulu Jido Kombolcha District, Ethiopia Norwegian University of Life Sciences,” no. February, 2008. Kothari, “Sampling and Sampling Technique,” 2004.
[15]	UNDP, “Overview of linkages between gender and climate change Policy brief found at http://www.undp.org/content/dam/undp/library/gender/Gender%20and%20Environment/PB1-AP-Overview-Gender-and-climate-change.pdf,” 2013.

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Martha Kidemu, Martha Gebreyesus, Mihiret Semere, Adefires Worku, Agena Anjulo. (2020). Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia. International Journal of Natural Resource Ecology and Management, 5(2), 43-48. https://doi.org/10.11648/j.ijnrem.20200502.12

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Martha Kidemu; Martha Gebreyesus; Mihiret Semere; Adefires Worku; Agena Anjulo. Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia. Int. J. Nat. Resour. Ecol. Manag. 2020, 5(2), 43-48. doi: 10.11648/j.ijnrem.20200502.12

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AMA Style

Martha Kidemu, Martha Gebreyesus, Mihiret Semere, Adefires Worku, Agena Anjulo. Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia. Int J Nat Resour Ecol Manag. 2020;5(2):43-48. doi: 10.11648/j.ijnrem.20200502.12

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@article{10.11648/j.ijnrem.20200502.12,
  author = {Martha Kidemu and Martha Gebreyesus and Mihiret Semere and Adefires Worku and Agena Anjulo},
  title = {Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia},
  journal = {International Journal of Natural Resource Ecology and Management},
  volume = {5},
  number = {2},
  pages = {43-48},
  doi = {10.11648/j.ijnrem.20200502.12},
  url = {https://doi.org/10.11648/j.ijnrem.20200502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20200502.12},
  abstract = {Data on environmental problems of the area, local manifestations of climate change, climate change coping strategies, rainfall prediction mechanisms and their threats were collected in three systematically selected administrative units of the study area using focus group discussion, key informant interview and household (HH) survey from May to June, 2017. Focus group (FG) discussion that participate youth, elders, women, religion and tradition leaders and experts with average members of 15 was organized at each administrative units. Sample key informants (KI) were selected by the focus group members by setting criteria to get deep information. HH survey was conducted from randomly selected 92 HHs samples determined by Kothari (2004). Qualitative data analysis method was used to summarize the information. Results showed that environmental problems in the area are directly or indirectly related to climate. And the communities rely on their indigenous rainfall prediction using meteorological, astronomic and animal behavioral indicators. The main indicators are: wind direction, appearance and shape of cloud, star pattern, moon’s appearance, cattle behavior, chirping of bird, bee’s migration, and color of lake and appearance of rainbow. The study also depicted that most (85%) of the communities heavily rely on the indigenous knowledge for planning agricultural activities or early warnings for preparedness. However, it has been threatened due to critics by religious people, lack of trust of young generation, degradation of the indicators and lack of documentation. There is need for careful evaluation and enhancement for social-ecological resilience of the vulnerable communities.},
 year = {2020}
}

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TY  - JOUR
T1  - Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia
AU  - Martha Kidemu
AU  - Martha Gebreyesus
AU  - Mihiret Semere
AU  - Adefires Worku
AU  - Agena Anjulo
Y1  - 2020/04/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ijnrem.20200502.12
DO  - 10.11648/j.ijnrem.20200502.12
T2  - International Journal of Natural Resource Ecology and Management
JF  - International Journal of Natural Resource Ecology and Management
JO  - International Journal of Natural Resource Ecology and Management
SP  - 43
EP  - 48
PB  - Science Publishing Group
SN  - 2575-3061
UR  - https://doi.org/10.11648/j.ijnrem.20200502.12
AB  - Data on environmental problems of the area, local manifestations of climate change, climate change coping strategies, rainfall prediction mechanisms and their threats were collected in three systematically selected administrative units of the study area using focus group discussion, key informant interview and household (HH) survey from May to June, 2017. Focus group (FG) discussion that participate youth, elders, women, religion and tradition leaders and experts with average members of 15 was organized at each administrative units. Sample key informants (KI) were selected by the focus group members by setting criteria to get deep information. HH survey was conducted from randomly selected 92 HHs samples determined by Kothari (2004). Qualitative data analysis method was used to summarize the information. Results showed that environmental problems in the area are directly or indirectly related to climate. And the communities rely on their indigenous rainfall prediction using meteorological, astronomic and animal behavioral indicators. The main indicators are: wind direction, appearance and shape of cloud, star pattern, moon’s appearance, cattle behavior, chirping of bird, bee’s migration, and color of lake and appearance of rainbow. The study also depicted that most (85%) of the communities heavily rely on the indigenous knowledge for planning agricultural activities or early warnings for preparedness. However, it has been threatened due to critics by religious people, lack of trust of young generation, degradation of the indicators and lack of documentation. There is need for careful evaluation and enhancement for social-ecological resilience of the vulnerable communities.
VL  - 5
IS  - 2
ER  -

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Author Information

Martha Kidemu

Climate Change Research, Ethiopian Environment and Forest Research Institute (EEFRI), Addis Ababa, Ethiopia; African Center of Excellence for Climate Smart Agriculture and Biodiversity Conservation, Haramaya University, Dire Dawa, Ethiopia
Martha Gebreyesus

Climate Change Research, Ethiopian Environment and Forest Research Institute (EEFRI), Addis Ababa, Ethiopia
Mihiret Semere

Climate Change Research, Ethiopian Environment and Forest Research Institute (EEFRI), Addis Ababa, Ethiopia
Adefires Worku

Climate Change Research, Ethiopian Environment and Forest Research Institute (EEFRI), Addis Ababa, Ethiopia
Agena Anjulo

Climate Change Research, Ethiopian Environment and Forest Research Institute (EEFRI), Addis Ababa, Ethiopia

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APA Style

Martha Kidemu, Martha Gebreyesus, Mihiret Semere, Adefires Worku, Agena Anjulo. (2020). Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia. International Journal of Natural Resource Ecology and Management, 5(2), 43-48. https://doi.org/10.11648/j.ijnrem.20200502.12

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ACS Style

Martha Kidemu; Martha Gebreyesus; Mihiret Semere; Adefires Worku; Agena Anjulo. Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia. Int. J. Nat. Resour. Ecol. Manag. 2020, 5(2), 43-48. doi: 10.11648/j.ijnrem.20200502.12

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AMA Style

Martha Kidemu, Martha Gebreyesus, Mihiret Semere, Adefires Worku, Agena Anjulo. Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia. Int J Nat Resour Ecol Manag. 2020;5(2):43-48. doi: 10.11648/j.ijnrem.20200502.12

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@article{10.11648/j.ijnrem.20200502.12,
  author = {Martha Kidemu and Martha Gebreyesus and Mihiret Semere and Adefires Worku and Agena Anjulo},
  title = {Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia},
  journal = {International Journal of Natural Resource Ecology and Management},
  volume = {5},
  number = {2},
  pages = {43-48},
  doi = {10.11648/j.ijnrem.20200502.12},
  url = {https://doi.org/10.11648/j.ijnrem.20200502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20200502.12},
  abstract = {Data on environmental problems of the area, local manifestations of climate change, climate change coping strategies, rainfall prediction mechanisms and their threats were collected in three systematically selected administrative units of the study area using focus group discussion, key informant interview and household (HH) survey from May to June, 2017. Focus group (FG) discussion that participate youth, elders, women, religion and tradition leaders and experts with average members of 15 was organized at each administrative units. Sample key informants (KI) were selected by the focus group members by setting criteria to get deep information. HH survey was conducted from randomly selected 92 HHs samples determined by Kothari (2004). Qualitative data analysis method was used to summarize the information. Results showed that environmental problems in the area are directly or indirectly related to climate. And the communities rely on their indigenous rainfall prediction using meteorological, astronomic and animal behavioral indicators. The main indicators are: wind direction, appearance and shape of cloud, star pattern, moon’s appearance, cattle behavior, chirping of bird, bee’s migration, and color of lake and appearance of rainbow. The study also depicted that most (85%) of the communities heavily rely on the indigenous knowledge for planning agricultural activities or early warnings for preparedness. However, it has been threatened due to critics by religious people, lack of trust of young generation, degradation of the indicators and lack of documentation. There is need for careful evaluation and enhancement for social-ecological resilience of the vulnerable communities.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Traditional Ecological Knowledge for Climate Change Assessment and Rainfall Prediction: A Case of Adami Tulu Jido Kombolcha District, Oromia Region, Ethiopia
AU  - Martha Kidemu
AU  - Martha Gebreyesus
AU  - Mihiret Semere
AU  - Adefires Worku
AU  - Agena Anjulo
Y1  - 2020/04/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ijnrem.20200502.12
DO  - 10.11648/j.ijnrem.20200502.12
T2  - International Journal of Natural Resource Ecology and Management
JF  - International Journal of Natural Resource Ecology and Management
JO  - International Journal of Natural Resource Ecology and Management
SP  - 43
EP  - 48
PB  - Science Publishing Group
SN  - 2575-3061
UR  - https://doi.org/10.11648/j.ijnrem.20200502.12
AB  - Data on environmental problems of the area, local manifestations of climate change, climate change coping strategies, rainfall prediction mechanisms and their threats were collected in three systematically selected administrative units of the study area using focus group discussion, key informant interview and household (HH) survey from May to June, 2017. Focus group (FG) discussion that participate youth, elders, women, religion and tradition leaders and experts with average members of 15 was organized at each administrative units. Sample key informants (KI) were selected by the focus group members by setting criteria to get deep information. HH survey was conducted from randomly selected 92 HHs samples determined by Kothari (2004). Qualitative data analysis method was used to summarize the information. Results showed that environmental problems in the area are directly or indirectly related to climate. And the communities rely on their indigenous rainfall prediction using meteorological, astronomic and animal behavioral indicators. The main indicators are: wind direction, appearance and shape of cloud, star pattern, moon’s appearance, cattle behavior, chirping of bird, bee’s migration, and color of lake and appearance of rainbow. The study also depicted that most (85%) of the communities heavily rely on the indigenous knowledge for planning agricultural activities or early warnings for preparedness. However, it has been threatened due to critics by religious people, lack of trust of young generation, degradation of the indicators and lack of documentation. There is need for careful evaluation and enhancement for social-ecological resilience of the vulnerable communities.
VL  - 5
IS  - 2
ER  -

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