Skip to main content

Advertisement

Log in

Meteorological data trend analysis and local community perception towards climate change: a case study of Jimma City, Southwestern Ethiopia

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

This study examines the trends of temperature and rainfall as an evidence of climate change and variability in Jimma city, southwestern Ethiopia. Historical rainfall and temperature data of forty years (1978–2017) obtained from Ethiopian Meteorological Agency and household questionnaire survey (n=150) were used to assess the climate trend of Jimma city. Descriptive statistics have been used to assess people’s perceptions towards climate change. Rainfall and temperature variability were analyzed using standard deviations, coefficient of variation (CV), rainfall anomaly index and standard precipitation index. The magnitude of the linear trends is estimated using the Sen’s slope estimator, and Mann–Kendall test to check the statistical significance of the trends. Findings revealed that average maximum and minimum temperature showed statistically significant trend. The magnitude of increasing trends of monthly maximum temperature varies between 0.033 and 0.045 °C/year in January and April, respectively. For minimum temperature the magnitude of trends vary between 0.081 °C/year in November and 0.025 °C/year in April. Annual rainfall variability is relatively stable with 11% CV, while monthly rainfall variability was found to be very high in December, January, and February with CV 115, 80, and 75, respectively. The result from household survey shows that 85% perceived the increasing trends of temperature. The community perceived that climate change is having an impact on vector-borne diseases. Our results indicate that climate-borne disease and pests, food insecurity, frequent drought and flooding appear to have a significant relationship with climate change with p value 0.000, 0.029, 0.010, and 0.047, respectively. Thus, it is crucial to plan for climate change adaptation and mitigation strategies to minimize the potential impacts of climate change in the study area.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and material

All data are included in the manuscript.

References

  • Abebe, M. S., Derebew, K. T., & Gemeda, D. O. (2019). Exploiting temporal–spatial patterns of informal settlements using GIS and remote sensing technique: a case study of Jimma city, Southwestern Ethiopia. Environmental Systems Research, 8, 6.

    Google Scholar 

  • Alemu, A., Abebe, G., Tsegaye, W., & Gadisa, L. (2011). Climatic variables and malaria transmission dynamics in Jimma town, South West Ethiopia. Parasites and Vectors, 4(30). https://doi.org/10.1186/1756-3305-4-30.

  • Anastasiadis, S. (2005). The big problem in understanding climate change. Peace Review: A Journal of Social Justice, 17, 299–306.

    Google Scholar 

  • Asare-Nuamah, P., & Botchway, E. (2019). Understanding climate variability and change: analysis of temperature and rainfall across agroecological zones in Ghana. Heliyon, 5, e02654.

    Google Scholar 

  • Asfaw, A., Simane, B., Hassen, A., & Bantider, A. (2018). Variability and time series trend analysis of rainfall and temperature in northcentral Ethiopia: A case study in Woleka sub-basin. Weather and Climate Extremes, 19, 29–41.

    Google Scholar 

  • Aticho, A. A., Gemeda, D. O., Feyssa, D. H., Jiru, D. B., Beyene, A., Seyoum, D., et al. (2018). Assessment of black crowned crane and wattled crane population and spatiotemporal distribution in Jimma Zone, Southwest Ethiopia. Global Ecology and Conservation, 16, e00459.

    Google Scholar 

  • Bari, S. H., Ur Rahman, M. T., Hoque, M. A., & Hussain, M. M. (2016). Analysis of seasonal and annual rainfall trends in the northern region of Bangladesh. Atmospheric Science, 176–177, 148–158.

    Google Scholar 

  • Bewket, W. (2012). Climate change perceptions and adaptive response of smallholder farmers in central highlands of Ethiopia. International Journal of Environmental Studies, 69(3), 507–523.

    Google Scholar 

  • Central Statistical Agency (CSA). 2007. Central Statistical Agency. https://www.csa.gov.et/census-report/complete-report/census-2007?start=5 (Retrieved on June 14, 2020).

  • Cheung, W. H., Senay, G. B., & Sinngh, A. (2008). Trends and spatial distribution of annual and seasonal rainfall in Ethiopia. International Journal of Climatology, 28, 1723–1734.

    Google Scholar 

  • Cui, L., Wang, L., Lai, Z., Tian, Q., Liu, W., & Li, J. (2017). Innovative trend analysis of annual and seasonal air temperature and rainfall in the Yangtze River Basin, China during 1960–2015. Journal of Atmospheric and Solar-Terrestrial Physics, 164, 48–59.

    Google Scholar 

  • Degefie, D.T.,Seid, J., Gessesse, B. & Bedada, T.B. (2019). In: Melese, A.M., Abtew, W., and Senay, G. (eds.). Chapter 24-Agricultural drought projection in Ethiopia from 1981 to 2050: Using coordinated regional climate downscaling experiment climate data for Africa. Extreme hydrology and climate variability, 311–323. https://doi.org/10.1016/B978-0-12-815998-9.00024-5.

  • Environmental and Social Impact Assessment Study (2011). Jimma town water supply and sanitation project. https://documents.vsemirnyjbank.org/curated/ru/389411468257700774/pdf/E30070v30EA0P10R0Jimma0ESIA0P129174.pdf (Retrieved on June 14, 2020).

  • Eshetu, G., Johansson, T., & Garedew, W. (2016). Rainfall trend and variability analysis in Setema-Gatira area of Jimma, South-western Ethiopia. African Journal of Agricultural Research, 11(13), 3037–3045.

    Google Scholar 

  • Feyssa, D. H., & Gemeda, D. O. (2015). Impacts of climate change on production system in semi-arid regions of Ethiopia. Journal of Biological and Chemical Research, 32(2), 755–764.

    Google Scholar 

  • Frondel, M., Simora, M., & Sommer, S. (2017). Risk perception of climate changes: empirical evidence for German. Ecological Economics, 137, 173–183.

    Google Scholar 

  • Gegulo, D. F., Gemeda, D. O., & Gebre, S. L. (2019). Perception and response to climate change by small farmers: The case of Mareko District, Southern Ethiopia. International Journal of Economic and Environmental Geology, 10(1), 42–46.

    Google Scholar 

  • Gemeda, D. O. (2015). Perceptions of climate change among natural resources management students at Jimma University, Ethiopia. International Journal of Sciences: Basic and Applied Research, 22(1), 106–119.

    Google Scholar 

  • Gemeda, D. O. (2019). Climate change variability analysis in and around Jinka, Southern Ethiopia. With special emphasis on temperature and rainfall. The Journal of Agricultural Sciences-Sir Lanka, 14(3), 145–153.

    Google Scholar 

  • Gemeda, D. O., Minstro, A. A., Feyssa, D. H., Sima, A. D., & Gutema, T. M. (2016). Community knowledge, attitude and practice towards black crowned crane (Balearica pavonina L.) conservation in Chora Boter district of Jimma zone, Ethiopia. Journal of Ecology and The Natural Environment., 8(4), 40–48.

    Google Scholar 

  • Gemeda, D. O., & Sima, A. D. (2015). The impacts of climate change on African continent and the way forward. Journal of Ecology and the Natural Environment, 7(10), 256–262.

    Google Scholar 

  • Gocic, M., & Trajkovic, S. (2013). Analysis of changes in meteorological variables using Mann–Kendall and Sens’s slope estimator statistical tests in Serbia. Global and Planetary Change, 100, 172–182.

    Google Scholar 

  • Guclu, Y. S. (2018). Multiple Sen-innovative trend analysis and partial Mann–Kendall test. Journal of Hydrology, 566, 685–704.

    Google Scholar 

  • Hansel, S., Schucknecht, A., & Matschullat, J. (2015). The modified rainfall anomaly index (mRAI)-is this alternative to the standard precipitation Index (SPI) evaluating future extreme precipitation characteristics? Theoretical and Applied Climatology, 123(3–4), 827–844.

    Google Scholar 

  • Harvey, C. A., Rakotobe, Z. L., Rao, N. S., Dave, R., Razafimahatratra, H., Rabarijohn, R. H., et al. (2014). Extreme vulnerability of smallholder farmers to agri-cultural risks and climate change in Madagascar. Philosophical Transactions of The Royal Society B, 369, 20130089.

    Google Scholar 

  • Hasan, M. K., & Kumar, L. (2019). Comparison between meteorological data and farmer perceptions of climate change and vulnerability in relation to adaptation. Journal of Environmental Management, 237, 54–62.

    Google Scholar 

  • Hein, Y., Vijitsrikamol, K., Attavanich, W., & Janekarnkij, P. (2019). Do Farmers perceive the trends of local climate variability accurately? An analysis of farmers’ perceptions and meteorological data in Myanmar. Climate, 7, 64.

    Google Scholar 

  • IPCC. (2019). https://www.ipcc.ch/2019/ (Retrieved on October 4, 2019).

  • Kendall, M. G. (1975). Rank Correlation Methods. London, UK: Griffin.

    Google Scholar 

  • Laidler, G. J. (2006). Inuit and scientific perspectives on the relationship between sea ice and climate change: the ideal complement? Climate Change, 78, 407–444.

    CAS  Google Scholar 

  • Livada, I., & Assimakopoulos, V. D. (2007). Spatial and temporal analysis of drought in Greece using the standardized precipitation index (SPI). Theoretical and Applied Climatology, 89, 143–153.

    Google Scholar 

  • Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13, 245–259.

    Google Scholar 

  • Naab, F. Z., Abubakari, Z., & Ahmed, A. (2019). The role of climate services in agricultural productivity in Ghana: The perspectives of farmers and institutions. Climate Services, 13, 24–32.

    Google Scholar 

  • Nematchoua, M. K., Orosa, J. A., & Reiter, S. (2019). Climate change: Variability’s, vulnerabilities and adaptation analysis—A case of seven cities located in seven countries of Central Africa. Urban Climate, 29, 100486.

    Google Scholar 

  • Ochieng, J., Kirimi, L., & Mathenge, M. (2016). Effects of climate variability and change on agricultural production: The case of small scale farmers in Ethiopia. NJAS- Wageningen Journal of Life Science, 77, 71–78.

    Google Scholar 

  • Pingale, S. M., Khare, D., Jat, M. K., & Adamowski, J. (2014). Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India. Atmospheric Research, 138, 73–90.

    Google Scholar 

  • Pondorfer, A. (2019). The perception of climate change: Comparative evidence from the small-island societies of Bougainville and Palawan. Environmental Development, 30, 21–34.

    Google Scholar 

  • Poortinga, W., Whitmarsh, L., Steg, L., Bohm, G., & Fisher, S. (2019). Climate change perceptions and their individual-level determinants: A cross European analysis. Global Environmental Change, 55, 25–35.

    Google Scholar 

  • Quiroga, S., & Sua’rezSolis, C. J. D. (2015). Exploring coffee farmers ‘awareness about climate change and water needa: Smallholders’ perceptions of adaptive capacity. Environmental Science and Policy, 45, 53–66.

    Google Scholar 

  • Randell, H., & Gray, C. (2016). Climate variability and educational attainment: Evidence from rural Ethiopia. Global Environmental Change, 41, 111–123.

    Google Scholar 

  • Samy, A., Ibrahim, M. G., Mahmod, W. E., Fujii, M., Eltawil, A., & Daoud, W. (2019). Statistical assessment of rainfall characteristics in upper blue nile basin over the period from 1953 to 2014. Water, 11, 468.

    Google Scholar 

  • Seaman, J. A., Sawdon, G. E., Acidri, J., & Petty, C. (2014). The household economy approach. Managing the impacts of climate change on poverty and food security in developing countries. Climate Risk Management, 4–5, 59–68.

    Google Scholar 

  • Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of The American Statistical Association, 63, 1379–1389.

    Google Scholar 

  • Shaha, R., Bharadiya, N., & Manekar, V. (2015). Drought index computation using standardized precipitation index (SPI) method for Surat District, Gujarat. Aquatic Procedia, 4, 1243–1249.

    Google Scholar 

  • Somboonsuke, B., Phitthayaphinant, P., Sdoodee, S., & Komgmanee, C. (2018). Farmers perceptions of impacts of impacts of climate variability on agriculture and adaptation strategies in Songkhla. Kasetsart Journal of Social Science, 39, 277–283.

    Google Scholar 

  • Steeves, L., & Filgueira, R. (2019). Stakeholder perceptions of climate change in the context of bivalve aquaculture. Marine Policy, 103, 121–129.

    Google Scholar 

  • Suryabhagavan, K. V. (2017). GIS-based climate variability and drought characterization in Ethiopia over three decades. Weather and Climate Extremes, 15, 11–23.

    Google Scholar 

  • Tapsuwan, S., & Rongrongmuang, W. (2015). Climate change perception of the dive tourism industry in Koh Taoisland, Thailand. Journal of Outdoor Recreation and Tourism, 11, 58–63.

    Google Scholar 

  • Tesfahunegn, G. B., & Tekle, K. M. (2016). Farmers’ perception on causes, indicators and determinants of climate change in northern Ethiopia: Implication for developing adaptation strategies. Applied Geography, 73, 1–12.

    Google Scholar 

  • Tabari, H., & Marofi, S. (2011). Changes of pan evaporation in the west of Iran. Water Resources Management, 25, 97–111.

    Google Scholar 

  • Thomas, J., & Prasannakumar, V. (2016). Temporal analysis of rainfall (1871–2012) and drought characteristics over a tropical monsoon-dominated state (Kerala) of India. Journal of Hydrology, 534, 266–280.

    Google Scholar 

  • Tian, Q., Prange, M., & Merkel, U. (2016). Precipitation and temperature changes in the major Chinese river basins during 1957–2013 and links to sea surface temperature. Journal of Hydrology, 536, 208–221.

    Google Scholar 

  • Tigkas, D., Vangelis, H., & Tsakiris, G. (2018). Drought characterization based on an agriculture-oriented standardised precipitation index. Theoretical and Applied Climatology, 135(3–4), 1435–1447.

    Google Scholar 

  • Tigkas, D., Vangelis, H., & Tsakiris, G. (2015). DrinC: a software for drought analysis based on drought indices. Earth Science Informatics, 8(3), 697–709.

    Google Scholar 

  • Umar, D. A., Ramli, M. F., Aris, A. Z., Jamil, N. R., & Aderemi, A. A. (2019). Evidence of climate variability from rainfall and temperature fluctuations in semi-arid region of the tropics. Atmospheric Research, 224, 52–64.

    Google Scholar 

  • Ureta, C., Gonzalez, E. J., Espinosa, A., Trueba, A., Pineyro-Nelson, A., & Alvarmez-Buylla, E. R. (2020). Maize yield in Mexico under climate change. Agricultural Systems, 177, 102697.

    Google Scholar 

  • Van Rooy, M. P. (1965). A rainfall anomaly index independent of time and space. Notos, 14, 43–48.

    Google Scholar 

  • Wedajo, G. K., Muleta, M. K., Gessesse, B., & Koriche, S. A. (2019). Spatio-temporal climate and vegetation greenness changes and their nexus for Dhidhessa River Basin, Ethiopia. Environmental Systems Research, 8, 31.

    Google Scholar 

  • Worqlul, A. W., Dile, Y. T., Ayana, E. K., Jeong, J., Adem, A. A., & Gerik, T. (2018). Impacts of Climate change on Stream flow hydrology in headwater catchments of the upper blue Nile Basin, Ethiopia. Water, 10, 120.

    Google Scholar 

  • Wu, X., Lu, Y., Zhou, S., Chen, L., & Xua, B. (2016). Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Environment International, 86, 14–23.

    Google Scholar 

  • Xu, Y., Wang, S., Bai, X., Shu, D., & Tian, Y. (2018). Runoff response to climate change and human activities in a typical Karst Watershed, SW China. PLoS ONE, 13(3), e0193073.

    Google Scholar 

  • Yegbemey, R. N., Kabir, H., Awoye, O. H. R., Yabi, J. A., & Paraiso, A. A. (2014). Managing the agricultural calendar as coping mechanism to climate variability: A case study of maize farming in northern Benin, West Africa. Climate Risk Management, 3, 13–23.

    Google Scholar 

Download references

Acknowledgements

We thank Jimma University College of Agriculture and Veterinary Medicine for the existing facilities to carry out this research. This paper is part of PhD course (independent study) of the first author. We are grateful to our respondents who participated on questionnaire survey. The authors would like to acknowledge and thank Ethiopia Meteorological Agency for providing historical meteorological data. We thank to Jimma Meterology Agency for their cooperation in the process of historical climate data acquisition. The authors appreciate the two anonymous reviewers and the editor for their valuable comments to improve the quality of the paper. 

Funding

No funding received for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dessalegn Obsi Gemeda.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

This research requires no ethical approval.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gemeda, D.O., Feyssa, D.H. & Garedew, W. Meteorological data trend analysis and local community perception towards climate change: a case study of Jimma City, Southwestern Ethiopia. Environ Dev Sustain 23, 5885–5903 (2021). https://doi.org/10.1007/s10668-020-00851-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-020-00851-6

Keywords

Navigation