Climate change and variability, has embarked
societies in Zanzibar to rely on horticulture (i.e. watermelon production) as an adaptive measure due to an
unpromising situation of commonly used agricultural yields. Currently, there is
either no or scant information that describes the influence of climate changes and variability to watermelon
production in Zanzibar. Thus, this study aimed to determine the influence of
climate variability on the quantity of watermelon production in Zanzibar. The
study used both primary and secondary datasets, which include the anecdotal
information collected from interviewers’ responses from four districts of
Unguja and Pemba, and climate parameters (rainfall, maximum and minimum
temperature (Tmax and Tmin) acquired from Tanzania Meteorological Authority
(TMA) at Zanzibar offices. Pearson correlation was used for analyzing the
association between watermelon production and climate parameters, while paired
t-test was applied to show the significance of the mean differences of
watermelon and climate parameters for two periods of 2014-2017 and 2018-2021,
respectively. Percentage changes were used to feature the extent to which the
two investigated parameters affect each other. The anecdotal responses were
sorted, calculated in monthly and seasonal averages, plotted and then analyzed.
Results have shown a strong correlation (r = 0.8 at p ≤ 0.02, and r = 0.7) between watermelon
production, Tmax and rainfall during OND, especially in Unguja, as well as Tmin
during JJA (i.e. r = - 0.8 at p ≤
0.02) in Pemba. Besides, results have shown the existence of significant differences between the means of watermelon production and climate parameter
for the two stated periods, indicating that the climate parameters highly
affects the watermelon production by either enhancing or declining the yields by 69% - 162% and 17% - 77%, respectively. Moreover, results
have shown that respondents
References
[1]
RGOZ (2021) Zanzibar Statistical Abstract 2020. Office of the Chief Government Statistician (OCGS).
[2]
URT (2017) Tanzania Statistical Abstract 2016. National Bureau of Statistics, Dar es Salaam, 212. https://nbs.go.tz/nbs/takwimu/Abstracts/Statistical_Abstract_2016.pdf
[3]
Abu-Nasser, B.S. and Abu Naser, S.S. (2018) Rule-Based System for Watermelon Diseases and Treatment. International Journal of Academic Information Systems Research (IJAISR), 2, 1-7.
[4]
Kai, K.H., Kijazi, A.L. and Osima, S.E. (2020) An Assessment of the Seasonal Rainfall and Its Societal Implications in Zanzibar Islands during the Season of October to December, 2019. Atmospheric and Climate Sciences, 10, 509-529. https://doi.org/10.4236/acs.2020.104026
[5]
Kai, K.H., et al. (2021) Assessment of the Off-Season Rainfall of January to February 2020 and Its Socio Economic Implications in Tanzania: A Case Study of the Northern Coast of Tanzania. Journal of Atmospheric Science Research, 4, 51-69. https://doi.org/10.30564/jasr.v4i2.3135
[6]
Karl, T.R., et al. (2015) Possible Artifacts of Data Biases in the Recent Global Surface Warming Hiatus. Science, 348, 1469-1472. https://doi.org/10.1126/science.aaa5632
[7]
Folland, C.K., Karl, T.R., Christy, J.R., Clarke, R.A., Gruza, G.V., Jouzel, J., Mann, M.E., Oerlemans, J., Salinger, M.J. and Wang, S.W. (2001) Observed Climate Variability and Change 2001: The Scientific Basis. In: Houghton, G.T., Ding, Y., et al., Eds, Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 99-181.
[8]
Francis, J. and Mahongo, S.B. (2012) Analysis of Rainfall Variations and Trends in Coastal Tanzania. Western Indian Ocean Journal of Marine Science, 11, 121-133.
[9]
Lukali, A.A., Osima, S.E., Lou, Y. and Kai, K.H. (2021) Assessing the Impacts of Climate Change and Variability on Maize (Zea mays) Yield over Tanzania. Atmospheric and Climate Sciences, 11, 569-588. https://doi.org/10.4236/acs.2021.113035
[10]
Kimani, M.W. (2019) Towards Improved Seasonal Rainfall Predictions over East Africa. University of Twente, Twente.
[11]
Pachauri, R.K. and Reisinger, A. (2007) IPCC Fourth Assessment Report. IPCC, Geneva.
[12]
Plus, M.S. and Plus, M.S. (2019) Prepared by SHEP PLUS.
[13]
Korkmaz, A. and Dufault, R.J. (2001) Developmental Consequences of Cold Temperature Stress at Transplanting on Seedling and Field Growth and Yield. I. Watermelon. Journal of the American Society for Horticultural Science, 126, 404-409. https://doi.org/10.21273/JASHS.126.4.404
[14]
Ufoegbune, G.C., Fadipe, O.A., Bello, N.J., Eruola, A.O., Makinde, A.A. and Amori, A.A. (2014) Growth and Development of Watermelon in Response to Seasonal Variation of Rainfall. Journal of Climatology & Weather Forecasting, 2, 1000117. https://doi.org/10.4172/2332-2594.1000117
[15]
Dube, J., Ddamulira, G. and Maphosa, M. (2021) Watermelon Production in Africa: Challenges and Opportunities. International Journal of Vegetable Science, 27, 211-219. https://doi.org/10.1080/19315260.2020.1716128