Drought Pattern along the Coastal Forest Zone of Tanzania

Abstract

This study focused on identifying drought patterns particularly during the growing seasons along the coastal zone of Tanzania in order to facilitate the determination of drought impacts on forest Ecosystem. The growing seasons were March, April and May (MAM) referred as long growing season and October, November and December (OND) which is known as short growing season. The main data were precipitation from 16 weather stations covering the coastal zones of Tanzania. Standardized Precipitation Index (SPI) was used to establish meteorological drought patterns. The duration of records was between 34 and 59 years depending on the available data on the concerned stations. The SPI time series of 3 and 12 months showed that the coastal region of Tanzania experienced frequent drought conditions ranging from mild, moderate, severe and extreme droughts during both short and long growing seasons. It was found that the coastal zone of Tanzania experienced higher drought duration, severity and intensity with frequent extreme events after 2000 than before. Despite that Kisarawe area revealed low frequency of drought events (88%) than other study areas; it exhibited greater frequency of extreme droughts (46%) over the whole study areas. Higher drought duration (40 months) and severity (sum of SPI -36) were observed for precipitation data from Unguja Islands, while data from Julius Nyerere International Airport areas displayed higher drought intensity (SPI value of -1.9). Generally, Tanzania coastal zone was never completely without drought or anomalously wet conditions at any time scale during the period of record. The coastal zone was nearly entirely in drought periods especially the last decade after 2000. This suggests that vegetation in the coastal zone might have experienced the impacts of these droughts within the period. The magnitude of the impacts will be understood by tracking changes of biomass and forest cover along the coastal zone within the last decade from 2000 to 2011 in addition to the 1990/92 which experienced drought dominance for Pemba.

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Hassan, I. , Mdemu, M. , Shemdoe, R. and Stordal, F. (2014) Drought Pattern along the Coastal Forest Zone of Tanzania. Atmospheric and Climate Sciences, 4, 369-384. doi: 10.4236/acs.2014.43037.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Wilhite, D.A. and Glantz, M.H. (1985) Understanding the Drought Phenomenon: The Role of Definitions. Water International, 10, 111-120 http://dx.doi.org/10.1080/02508068508686328
[2] Meir. P. (2010) Amazonian Rain Forests and Drought: Response and Vulnerability. New Phytologist Trust, 187, 553-557. http://dx.doi.org/10.1111/j.1469-8137.2010.03390.x
[3] Smakhtin, V.U. and Hughes, D.A. (2004) Review Automated Estimation and Analysis of Drought Indices in South Asia. Working Paper 83, International Water management Institute, Colombo.
[4] Anderegg, W.R.L., Kane, J.M. and Anderegg, L.D.L. (2012) Consequences of Widespread Tree Mortality Triggered by Drought and Temperature Stress. Review Article. Nature and Climate Change, 3, 30-36. http://dx.doi.org/10.1038/nclimate1635
[5] Malhi. Y., Aragao, L.E.C., Galbraith, D., Huntingford, C., Fisher, R., Zelazowski, P., Sitch, S., McSweeney, C. and Meir, P. (2009) Exploring the Likelihood and Mechanism of a Climate-Change-Induced Dieback of the Amazon Rainforest. Proceeding of the National Academy of Science of USA. 106, 20610-20615. http://dx.doi.org/10.1073/pnas.0804619106
[6] IPCC (2007) Climate Change 2007: Mitigation. In: Metz, B., Davidson, O.R., Bosch, P.R., Dave, R. and Meyer, L.A., eds., Contribution of Working Group III to the 4th Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, and New York, XXX p. https://www.ipcc.ch/pdf/assessment-report/ar4/wg3/ar4_wg3_full_report.pdf
[7] Allen, C.D., et al. (2010) A Global Overview of Drought and Heat-Induced Tree Mortality Reveals Emerging Climate Change Risks for Forests. Forest Ecology and Management, 259, 660-684.
http://dx.doi.org/10.1016/j.foreco.2009.09.001
[8] Slik, J.W.F. (2004) El Nino Droughts and Their Effects on Tree Species Composition and Diversity in Tropical Rain Forests. Oecologia, 141, 114-120. http://dx.doi.org/10.1007/s00442-004-1635-y
[9] Ntale, H.K. and Gan, T.Y. and Mwale, D. (2003) Prediction of East African Seasonal Rainfall Using Simplex Canonical Correlation Analysis. Journal of Climate, 16, 2105-2112.
http://dx.doi.org/10.1175/1520-0442(2003)016<2105:POEASR>2.0.CO;2
[10] Ogallo, L.J. (1984) Temporal Fluctuations of Seasonal Rainfall Patterns in East Africa. Mausam, 35, 175-180
[11] Ogallo, L.J. and Ambenje, P.G. (1996) Monitoring Drought in Eastern Africa. WMO/TD No. 753, World Meteorological Organization, Geneva
[12] Shemdoe, R.S. (2011) Tracking Effective Indigenous Adaptation Strategies on Impacts of Climate Variability on Food Security and Health of Subsistence Farmers in Tanzania. African Technology Policy Studies Network Working Paper Series No. 5.
[13] Shemsanga, C., Omambia, A.N. and Gu, Y. (2010) The Cost of Climate Change in Tanzania: Impacts and Adaptations. Journal of American Science, 6, 182-196.
[14] Hayes, M.M., Svoboda, N.W. and Widhalm, M. (2011) The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index. Bulletin of the American Meteorological, 92, 485-488.
http://dx.doi.org/10.1175/2010BAMS3103.1
[15] Hayes, M., Wilhite, D., Svoboda, M. and Vanyarkho, O. (1999) Monitoring the 1996 Drought Using the Standardized Precipitation Index, 80, 429-438.
[16] Vicente-Serrano, S.M. (2006) Differences in Spatial Patterns of Drought on Different Time Scales: An Analysis of the Iberian Peninsula. Water Resources Management, 20, 37-60.
http://dx.doi.org/10.1007/s11269-006-2974-8
[17] Guttman, N.B. (1994) On the Sensitivity of Sample L Moments to Sample Size. Journal of Climate, 7, 1026-1029. http://dx.doi.org/10.1175/1520-0442(1994)007<1026:OTSOSL>2.0.CO;2
[18] M. Svoboda, M. Hayes and D. (2012) Standardized Precipitation Index User Guide. WMO-No. 1090, Wood World Meteorological Organization, Geneva.
[19] Ji, L. and Peters, A.J. (2003) Assessing Vegetation Response to Drought in the Northern Great Plains Using Vegetation and Drought Indices. Remote Sensing of Environment, 87, 85-98. http://dx.doi.org/10.1016/S0034-4257(03)00174-3
[20] Thorn, H.C.S. (1966) Some Methods of Climatological Analysis. WMO Technical Note Number 81, Secretariat of the World Meteorological Organization, Geneva, 53 p.
[21] Edwards, D.C. (1997) Characteristics of 20th Century Drought in the United States at Multiple Time Scales. Master of Science Degree in Atmospheric Science. Colorado State University, Fort Collins, 155 p.
[22] Edwards, D.C. and McKee, T.B. (1997) Characteristics of 20th Century Drought in the United States at Multiple Scales. Atmospheric Science Paper No. 634, 1-30 May 1997.
[23] Abramowitz, M. and Stegun, I.A. (Eds.) (1965) Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Dover Publications Inc., New York, 1046 p.
[24] McKee, T.B., Doesken, N.J. and Kliest, J. (1993) The Relationship of Drought Frequency and Duration to Time Scales. Proceedings of the 8th Conference on Applied Climatology, Anaheim, 17-22 January 1993, 179-184.
[25] Kijazi, A.L. and Reason, C.J.C. (2005) Relationships between Intraseasonal Rainfall Variability of Coastal Tanzania and ENSO. Theoretical and Applied Climatolology, 82, 153-176.
http://dx.doi.org/10.1007/s00704-005-0129-0
[26] Rennenberg, H., Loreto, F., Polle, A., Brilli, F., Fare, S., Beniwal, R.S. and Gessler, A. (2006) Physiological Responses of Forest Trees to Heat and Drought. Plant Biology, 8, 556-571.
http://dx.doi.org/10.1055/s-2006-924084
[27] Ceglar, A., Crepinsek, Z. and Kajfez-Bogataj, L. (2008) Analysis of Meteorological Drought in Slovenia with Two Drought Indices. BALWOIS 2008, Ohrid, 27-31 May 2008.
https://www.academia.edu/5092888/Analysis_of_meteorological_drought_in_Slovenia_with_two_
drought_indices
[28] Archaux, F. and Wolters, V. (2006) Impact of Summer Drought on Forest Biodiversity: What Do We Know? Annals of Forest Science, 63, 645-652. http://dx.doi.org/10.1051/forest:2006041
[29] Battaglia, M., Cherry, M.L., Deadle, C.L., Sands, P.J. and Hingston, A. (1998) Prediction of Leaf Area Index in Eucalypt Plantations: Effect of Water Stress and Temperature. Tree Physiology, 18, 521-528.
http://dx.doi.org/10.1093/treephys/18.8-9.521
[30] Le Dantec, V., Dufrêne, E. and Saugier, B. (2000) Interannual and Spatial Variation in Maximum Leaf Area Index of Temperate Deciduous Stands. Forest Ecology and Management, 134, 71-81. http://dx.doi.org/10.1016/S0378-1127(99)00246-7
[31] Xiao, J., Zhuang, Q., Liang, E., McGuire, A.D., Moody, A., Kicklighter, D.W., Shao, X. and Melillo, J.M. (2009) Twentieth-Century Droughts and Their Impacts on Terrestrial Carbon Cycling in China. Earth Interactions, 13, 1-31. http://globalecology.unh.edu/publications.html
[32] Viste, E., Korecha, D. and Sorteberg, A. (2012) Recent Drought and Precipitation Tendencies in Ethiopia. Theoretical and Applied Climatology, 112, 535-551. http://dx.doi.org/10.1007/s00704-012-0746-3
[33] Kijazi, A.L. and Reason, C.J.C. (2009) Analysis of the 1998 to 2005 Drought over the Northeastern Highlands of Tanzania. Climate Research, 38, 209-223. http://dx.doi.org/10.1007/s00704-012-0746-3

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