Generation of a Socio-Economic Suitability Map for Nile Tilapia (Oreochromis niloticus) Culture using Free Geographical Information System (GIS) software and Spatial Multi-Criteria Evaluation (SMCE) in Kisumu County, Kenya
Keywords:
O. niloticus, Aquaculture; socio-economic factors, GIS and SMCE Software
Abstract
In recent years, aquaculture has accounted for roughly half of all fish consumed globally. Scholar’s view aquaculture to have the potential to expand sustainably if suitable fish pond sites are located guided by socio-economic criteria. The need to generate socio-economic suitability map to guide location of fish ponds is therefore critical. This study generated a socio-economic suitability map for Nile Tilapia (Oreochromis niloticus) culture using Free GIS and SMCE Software in Kisumu County, Kenya. The criteria including; distance to water source, distance to fish feed source, distance to fingerlings source availability of animal waste, potentiality of farm gate sales, distance to market, and distance to all season roads were established, standardized, weighted and each criterion categorized into a five-level suitability scale of extremely suitable, suitable, averagely suitable, slightly suitable, and not suitable. The weighted criteria were combined using SMCE module in ILWIS. The generated site suitability map in terms of socio-economic factors indicates that 68.9 % of Kisumu county is extremely suitable, 25.5 % is suitable and 5.25% is averagely suitable for O. niloticus culture. It is concluded that based on socio economic suitability criteria, the County is highly suitable for O. niloticus culture.
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Drobne, S. and Lisec, A. (2009). Multi-attribute decision analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging. Informatica, 33 (2009) 459–474.
FAO (2009). The State of World Fisheries and Aquaculture 2008. FAO, Rome, Italy.
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Gatonye, M. W. and Gakuu, C. (2018). Factors influencing sustainability of small-scale fish farming projects in Kenya: The case of South Imenti Sub-County, Meru County. International Journal of Latest Research in Engineering and Technology, 04 (06), 17-32.
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Kaminski, A. M., Genschick, S., Kefi, A. S., & Kruijssen, F. (2018). Commercialization and upgrading in the aquaculture value chain in Zambia. Aquaculture 493, 355–364. https://doi.org/10.1016/j.aquaculture.2017.12.010
Krause, G, Brugere, C, Diedrich, A, Ebeling, MW, Ferse, SC, Mikkelsen, E et al. (2015) A revolution without people? Closing the people-policy gap in aquaculture development. Aquaculture, 447: 44–55.
Kisumu CIDP, (2018-2-22). Kisumu County integrated development plan II, 2018-2022
Lukoko, P. and Mundia, C. (2016). GIS Based Site Suitability Analysis for Location of a Sugar Factory in Trans Mara District. International Journal of Sciences: Basic and Applied Research, 25 (3), 324- 339.
Malczewski, J. (2006). Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis. International Journal of Applied Earth Observation and Geoinformation, 8(4), 270-277.
Malczewski, J., & Rinner, C. (2015). Multicriteria Decision Analysis in Geographic Information Science. Springer, Berlin.
Miszewska, E. Niedostatkiewicz, M. and Wisniewski, R. (2020). The selection of anchoring system for floating houses by means of AHP method. Buildings, 10 (75); doi: 10.3390/buildings10040075.
Nyaga, J., Nyikal, R.N. and Busienei, J.R. (2016). Factors influencing the choice of marketing channel by fish farmers in Kirinyaga County. Paper presented at the 5th International Conference of the African Association of Agricultural Economists, September 23-26, 2016.
Obwanga, B., Soma, K., Ingasia Ayuya, O., Rurangwa, E., van Wonderen, D., Beekman, G., & Kilelu, C. (2020). Exploring enabling factors for commercializing the aquaculture sector in Kenya. 3R Research report 011. Wageningen University & Research, Wageningen
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Ssegane, H.; Tollner, E.W.; Veverica, K. Geospatial Modeling of Site Suitability for Pond-Based Tilapia and Clarias farming in Uganda. J. Appl. Aquac. 2012, 24, 147–169.
Teniwut, W.A. Marimin, S. and Djatna, T. (2019). GIS-Based multi-criteria decision-making model for site selection of seaweed farming information centre: A lesson from small islands, Indonesia. Decision Science Letters, 8 (2019), 137–150.
Patrick, E.W. and Kagiri, A. (2016). An evaluation of factors affecting sustainability of fish farming projects in public secondary schools in Kiambu County. International Journal of Scientific and Research Publications, 6 (10), 488 – 507.
Yin, S., Li, J., Liang, J., Jia, K., Yang, Z. and Wang, Y. (2020). Optimization of the weighted linear combination method for agricultural land suitability evaluation considering current land use and regional differences. Sustainability, 12 (10134); doi:10.3390/su122310134.
Published
2022-06-28
How to Cite
Mokoro, A., Njiru, J., & Matolla, G. (2022, June 28). Generation of a Socio-Economic Suitability Map for Nile Tilapia (Oreochromis niloticus) Culture using Free Geographical Information System (GIS) software and Spatial Multi-Criteria Evaluation (SMCE) in Kisumu County, Kenya. African Journal of Education,Science and Technology, 7(1), Pg 106-122. https://doi.org/https://doi.org/10.2022/ajest.v7i1.762
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