Local Climate Forcing and Eco-Climatic Complexes in the Wooded Savannah of Western Nigeria
Mayowa Fasona, Mark Tadross, Babatunde Abiodun, Ademola Omojola
DOI: 10.4236/nr.2011.23021   PDF   HTML     4,403 Downloads   8,341 Views   Citations


Many climate impact applications are sensitive to local differentials in the climate system. This study investigates how eco-geographic factors influence the local climate and propagate eco-climatic complexes that vary spatio-temporally. Local geography data including elevation, slope, aspect, rainfall, temperature, vegetation, population density, and soil potential for agriculture were integrated and analyzed using geographic information system and principal component analysis. The result was profiled for local climate drivers and associated spatial structures in present and future climate (2046-2065) scenarios. The results suggest a local climate system driven by the coupling between terrain, rainfall and temperature in all seasons. In the present climate, this coupling creates eco-climatic complexes that extend from the southeast to northwest corridor in all seasons except June-July-August (JJA) when it is shifted to the northeast axis. This pattern is projected to continue in the future climate scenario, but its spatial influence and intensity would weaken around the northwest axis and rainfall will become less significant in the system in JJA. The clustering of rural settlements these complexes suggests the climate-positives produced by the system significantly support rural livelihoods. Thus, these eco-climatic complexes represent climate sensitive natural resource systems that should be targeted as a fulcrum for climate change mitigation and adaptation in the wooded savannah.

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M. Fasona, M. Tadross, B. Abiodun and A. Omojola, "Local Climate Forcing and Eco-Climatic Complexes in the Wooded Savannah of Western Nigeria," Natural Resources, Vol. 2 No. 3, 2011, pp. 155-166. doi: 10.4236/nr.2011.23021.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] S. D. Solomon, D. Qin, M. Manning, R. B. Alley, T. Berntsen, N. L. Bindoff, Z. Chen, A. Chidthaisong, J. M. Gregory, G. C. Hegerl, M. Heimann, B. Hewitson, B. J Hoskins, F. Joos, J. Jouzel, V. Kattsov, U. Lohmann, T. Matsuno, M. Molina, N. Nicholls, J. Overpeck, G. Raga, V. Ramaswamy, J. Ren, M. Rusticucci, R. Somerville, T. F. Stocker, P. Whetton, R. A. Wood, D. Wratt (2007): “Technical Summary,” In: S. Solomon, D. Quin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, Miller H. L., Eds., Climate
[2] S. Nicholson, “Land Surface Processes and Sahel climate,” Reviews of Geophysics, Vol. 38, No 1, 2000, pp. 117-339. doi:10.1029/1999RG900014
[3] E. A. Afiesimama, J. S Pal, B. J. Abiodun, W. J. Gutowski and A. Adedoyin, “Simulation of West African monsoon using the RegCM3. Part I: Model Validation and Interannual Variability.” Theoretical and Applied Climatology, Vol. 86, 2006, pp. 23-37. doi:10.1007/s00704-005-0202-8
[4] B. J. Abiodun, J. S. Pal, E. A. Afiesimama, W. J. Gutowski and A. Adedoyin, “Simulation of West African monsoon using RegCM3 Part II: Impacts of Deforestation and Desertification, Theoretical and Applied Climatology, Vol. 93, 2008, pp. 245-261. doi:10.1007/s00704-007-0333-1
[5] C. Müller, “Climate Change Impact on Sub-Saharan Africa: An Overview and Analysis of Scenarios and Models,” Deutsches Institut für Entwicklungspolitik, Vol. 3, 2009.
[6] T. O. Odekunle, E. E. Balogun and O. O. Ogunkoya, “On the Prediction of Rainfall Onset and Retreat Dates in Nigeria.” Theoretical and Applied Climatology, Vol. 81, 2005, pp. 101-112. doi:10.1007/s00704-004-0108-x
[7] M. Fasona, A. Omojola, O. Adeaga and D. Dabi, “Aspects of Climate Change and Resource Conflicts in the Nigeria Savannah,” Report of IPCC/TGICA Expert Meeting on Integrating Analysis of Re-gional Climate Change and Response Options, Fiji Island, 2007, pp. 45-55.
[8] B. C. Hewitson and R. G. Crane, “Consensus between GCM Climate Change Projections with Empirical Downscaling: Precipitation Downscaling over South Africa,” International Journal of Climatology, Vol. 26, 2006, pp. 1315-1337. doi:10.1002/joc.1314
[9] T. J. Stohlren, T. N. Chase, R. A. Pielke, T. G. Kittel and J. S. Baron, “Evidence that Local Land Use Practices Influence Regional Climate, Vegetation, and Stream Flow Patterns in Adjacent Natural Ar-eas,” Global Change Biology, Vol. 4, No. 5, 1998, pp. 495-504. doi:10.1046/j.1365-2486.1998.t01-1-00182.x
[10] R. A. Pielke, J. Adegoke, A. Beltran-Przekurat, C. A. Hiemstra, J. Lin, U. S. Nair, D. Niyogi and E. Nobis, “An Overview of Regional Land-Use and Land-Cover Impacts on Rainfall,” Tellus B, Vol. 59, No 3, 2007, pp. 587-601. doi:10.1111/j.1600-0889.2007.00251.x
[11] NDP-UNEP, “Mainstreaming Poverty-Environment Lin- kages into Development Planning: A Handbook for Practitioners,” 2009. http://www.unpei.org
[12] J. B. Omotosho and J. Abiodun, “A Numerical Study ofMoisture Build-Up and Rainfall over West Africa,” Me
[13] teorologucal Applications, Vol. 14, 2007, pp. 209-225.
[14] R. L. Wilby, S. P. Charles, E. Zorita, B. Timbal, P. Whetton and L. O. Mearns, “Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods,” 2004. http://www.ipcc-data.org/guidelines/dgm_no2_v1_09_2004.pdf
[15] W. A. Hoffmann and R. B. Jackson, “Vegetation–Climate Feedbacks in the Conversion of Tropical Savan-nah to Grassland”, Journal of Climate, Vol. 13, No. 9, 2000, pp. , 1593-1602
[16] G. Bucini and E. F. Lambin, “Fire Im-pacts on Vegetation in Central Africa: A Remote-Sensing-Based Statistical Analysis,” Applied Geography, Vol. 22, No.1, 2002, pp. 27-48. doi:10.1016/S0143-6228(01)00020-0
[17] M. Kottek, J. Grie-ser, C. Beck, B. Rudolf and F. Ru, “World Map of the K?p-pen-Geiger Climate Classification Updated,” Meteorologische Zeitschrift, Vol. 15, No. 3, 2006, pp. 259-263.
[18] C. Neely, S. Bunning and A. Wilkes, “Review of Evidence on Drylands Pastoral Systems and Climate Change: Implications and Op-portunities for Mitigation and Adaptation,” FAO, Rome, 2009.
[19] J. F. K. Akinbami, A. T. Salami and W. O. Siyanbola, “An Integrated Strategy for Sustainable Forest-Energy- Environment Interactions in Nigeria,” Journal of Environ-mental Management, Vol. 69, No. 2, 2003, pp. 115-128. doi:10.1016/S0301-4797(03)00083-5
[20] M. J. Fasona and A. S. Omojola, “Climate Change, Human Security and Communal Clashes in Nigeria,” Proceedings International Workshop on Human Security and Climate Change, Asker, Oslo, 21-23 June 2005.
[21] E. E. Obioha, “Climate Change, Population Drift and Violent Conflict over Land Resources in North-eastern Nigeria,” Journal of Human Ecology, Vol. 23, No. 4, 2008, pp. 311-324.
[22] S. R. Adisa and O. A. Adekunle, “Farmer-Herdsmen Conflicts: A Factor Analysis of Socio-Economic Conflict Variables among Arable Crop Farmers in North Central Nigeria,” Journal of Human Ecology, Vol. 30, No. 1, 2010, pp. 1-9.
[23] J. Pinzon, “Using HHT to Suc-cessfully Uncouple Seasonal and iIterannual Components in Remotely Sensed Data,” Proceedings SCI 2002, Orlando, 14-18 July 2002.
[24] J. Pinzon, M. E. Brown and C. J. Tucker, “Satellite Time Series Correction of Orbital Drift Artifacts Us-ing Empirical Mode Decomposition,” In: N. Hubert-Huang, Ed., Transform: Introduction and Applications, World Scientific, 2004.
[25] C. J. Tucker, J. E. Pinzón, M. E. Brown, D. Slay-back, E. W. Pak, R. Mahoney, E. Vermote and N. El Saleous, “An Extended AVHRR 8-km NDVI Data Set Compatible with MODIS and SPOT Vegetation NDVI Data,” International Journal of Remote Sensing, Vol. 26, No. 20, 2005, pp. 4485-4498.
[26] A. Anyamba and C. J. Tucker, “Analysis of Sahelian Vegetation Dynamics Using NOAA-AVHRR NDVI Data from 1981-2003.” Journal of Arid Environments, Vol. 63, 2005, pp. 596-614. doi:10.1016/j.jaridenv.2005.03.007
[27] D. A. Stow, A. Hope, D. McGuire, D. Verbyla, J. Gamon, F. Huemmrich, S. Houston, C. Racine, M. Sturm, K. Tape, I. Hinzman, K. Yoshikawa, C. Tweedie, B. Noyle, C. Silapaswan, D. Douglas, B. Griffith, G. Jia, H. Epstein, D. Walker, S. Daeschner, A. Petersen, L. Zhou and R. Myneni, “Remote Sensing of Vegetation and Land-Over Change in Arctic Tundra Ecosystems,” Remote Sensing of Environment, Vol. 89, No. 3, 2004, pp. 281-308. doi:10.1016/j.rse.2003.10.018
[28] C. S. R. Neigh, C. J. Tucker and J. R. G. Townshend, “North American Vegetation Dynamics Observed with Multi-Resolution Satellite Data,” Remote Sensing of Environment, Vol. 112, No. 4, 2008, pp. 1749-1772. doi:10.1016/j.rse.2007.08.018
[29] K. H. Cook and E. K. Vizy, “Coupled Model Simulation of the West African Monsoon Systems: Twentieth- and Twenty-First-Century Simulations,” Journal of Climate, Vol. 19, 2006, pp. 3681-3703. doi:10.1175/JCLI3814.1
[30] J. R. Eastman, “Idrisi Taiga Guide to Image Processing,” Clark Labs, Worcester, 2009.
[31] K. G. Paterson, J. Sagady, D. Hooper, S. B. Bert-man, M. A. Carrol and P. B. Shepson, “Analysis of Air Quality Data Using Positive Matrix Factorization,” Environmental Science & Technology, Vol. 33, No. 4, 1999, pp. 635-641.
[32] M. Statheropoulos, N. Vassiliadis and A. Pappa, “Princi-pal Component and Canonical Correlation Analysis for Examining Air Pollution and Meteorological Data,” Atmospheric Environment, Vol. 32, No. 6, 1998, pp. 1087-1095.
[33] J. L. Moore, L. Manne, T. Brooks, N. D. Burgess, R. Davies, C. Rahbek, P. Williams and A. Balmford, “The Distribution of Cultural and Biological Diversity in Africa,” Proceedings of Royal Society, Vol. 269, No. 1501, 2002, pp. 1645-1653.
[34] R. Engler, A. Guisan and L. Rechsteiner, “An Improved Approach for Predicting the Distribution of Rare and Endan-gered Species from Occurrence and Pseudo-Absence Data,” Journal of Applied Ecology, Vol. 41, No. 2, 2004, pp. 263-274. doi:10.1111/j.0021-8901.2004.00881.x
[35] C. Reimanna, C. Filzmoserb and R. G. Garrett, “Factor Analysis Applied to Regional Geochemical Data: Problems and Possibilities,” Applied Geochemistry, Vol. 17, No. 3, 2002, pp. 185-206. doi:10.1016/S0883-2927(01)00066-X
[36] D. Love, D. Hall-bauer, A. Amos and R. Hranova, “Factor Analysis as a Tool in Groundwater Quality Management: Two Southern African Case Studies,” Physics and Chemistry of the Earth, Vol. 29, No. 15-18, 2004, pp. 1135-1143.
[37] A. Facchinelli, E. Sacchi and L. Mallen, “Multivariate Statistical and GIS-Based Approach to Identify Heavy Metals in Soils,” Environmental Pollution, Vol. 114, No. 3, 2001, pp. 313-324. doi:10.1016/S0269-7491(00)00243-8

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