Integrated Analytical Hierarchical Process and Geographical Information System for Allocation of Compatible Land Uses along Uluguru Mountain Slopes — Oak Academic Publishing
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Integrated Analytical Hierarchical Process and Geographical Information System for Allocation of Compatible Land Uses along Uluguru Mountain Slopes
Department of Agriculture Engineering, Sokoine University of Agriculture, Morogoro, Tanzania
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Department of Agriculture Engineering, Sokoine University of Agriculture, Morogoro, Tanzania
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Department of Agriculture Engineering, Sokoine University of Agriculture, Morogoro, Tanzania
1 Department of Agriculture Engineering, Sokoine University of Agriculture, Morogoro, Tanzania
2 Department of Agriculture Engineering, Sokoine University of Agriculture, Morogoro, Tanzania
3 Department of Agriculture Engineering, Sokoine University of Agriculture, Morogoro, Tanzania
The northern slope of the Uluguru mountain, that falls under the sovereignty of Morogoro’s urban area, has steadily become populated and connected with uncontrolled human activity, which has had a harmful effect on the ecosystem. The rapid conversion of natural forests to farms and settlements has a severe effect on biodiversity and the land’s productive capacity. In order to assist the identification of compatible land uses for managing degradation and restoration of degraded land, as well as ensuring the long-term use of natural resources, this study applied the integration of Geographical Information System and Analytical Hierarchical Process. The land resources of the research area were identified using a Geographical Information System to guide in the evaluation of various land uses’ suitability. Land resource values were generated from different sources of data whereby elevation, slope, temperature, rainfall, soil properties, soil moisture index, and land surface temperature classifications were obtained. The land resource classification values throughout the study area were used to create land mapping units. The results of the criteria classification were integrated into questionnaires together with proposed compatible land uses obtained from the literature review. These well-structured questionnaires were used to retrieve expert opinions on land use allocation from environmental beneficiary institutions in the area. The influence of criteria on each suggested land use was assessed accordingly based on the score provided by Saaty’s scale. The weight of each criterion at each land mapping unit toward proposed compatible land uses for mapping purposes was calculated using the Analytical Hierarchical Process (AHP) technique. The weighted criteria produced by the AHP technique were integrated into GIS using the weighted overlay method to produce a map that reflects expert judgments on mountain slope planning for long-term natural resource management. A literature review reveals that conservation agriculture, agroforestry, and forest land use types are compatible in the management of natural resources in the area, while settlements have to be integrated to accommodate the existing situation. The integration of GIS and AHP produced a plan that consists of conservation agriculture that covers the majority of the study area (50%) and is generally found in the foothills of the mountains up to land mapping unit 3. Agroforestry is the second-largest land use, accounting for 19% of the study area and being concentrated in the second and third land mapping units. Settlements, which occupy 17% of the study area and are mostly located at the foothills of the mountain, are the third most covered land use. Finally, forest land use is distributed at the top of the research area, inside land mapping units 4 and 5, and accounts for 13% of the total study area. According on the findings of this study, a sustainable land use plan is recommended. Economic activity that could assist in the management of natural resources would be advantageous to both parties. Planning of the moun tainous slopes within urban areas that are not designated as conservation zones should be done with great care, and only economic activities that assist management of natural resources should be permitted.
Adam, E., Mutanga, O., Odindi, J., & Abdel-Rahman, E. M. (2014). Land-Use/Cover Classification in a Heterogeneous Coastal Landscape Using RapidEye Imagery: Evaluating the Performance of Random Forest and Support Vector Machines Classifiers. International Journal of Remote Sensing, 35, 3440-3458. https://doi.org/10.1080/01431161.2014.903435
Bhatia, Z., & Buckley, P. (1998). Nature Kenya/East African Natural History Society. Journal of East African Natural History, 87, 339-347.
Bridges, E. M., & Oldeman, L. R. (1999). Global Assessment of Human-Induced Soil Degradation. Arid Soil Research and Rehabilitation, 13, 319-325. https://doi.org/10.1080/089030699263212
Burgess, N., Doggart, N., & Lovett, J. (2002). The Uluguru Mountains of Eastern Tanzania: The Effect of Forest Loss on Biodiversity. Oryx, 36, 1-13. https://doi.org/10.1017/S0030605302000212
Camargo, F. F., Sano, E. E., Almeida, C. M., Mura, J. C., & Almeida, T. (2019). A Comparative Assessment of Machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images. Remote Sensing, 11, 1600. https://doi.org/10.3390/rs11131600
Cengiz, T., & Akbulak, C. (2009). Application of Analytical Hierarchy Process and Geographic Information Systems in Land-Use Suitability Evaluation: A Case Study of Dümrek Village (Çanakkale, Turkey). International Journal of Sustainable Development and World Ecology, 16, 286-294. https://doi.org/10.1080/13504500903106634
Duc, T. T. (2006). Using GIS and AHP Technique for Land-Use Suitability Analysis. In International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences (6 p.). Polytechnic University of Ho Chi Minh.
Ernest, S., Nduganda, A. R., & Kashaigili, J. J. (2017). Urban Climate Analysis with Remote Sensing and Climate Observations: A Case of Morogoro Municipality in Tanzania. Advances in Remote Sensing, 6, 120-131. https://doi.org/10.4236/ars.2017.62009
Everest, T., Sungur, A., & Özcan, H. (2021). Determination of Agricultural Land Suitability with a Multiple-Criteria Decision-Making Method in Northwestern Turkey. International Journal of Environmental Science and Technology, 18, 1073-1088. https://doi.org/10.1007/s13762-020-02869-9
Feng, Q., Gong, J., Liu, J., & Li, Y. (2015). Flood Mapping Based on Multiple Endmember Spectral Mixture Analysis and Random Forest Classifier—The Case of Yuyao, China. Remote Sensing, 7, 12539-12562. https://doi.org/10.3390/rs70912539
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., & Michaelsen, J. (2015). The Climate Hazards Infrared Precipitation with Stations—A New Environmental Record for Monitoring Extremes. Scientific Data, 2015, 1-21.
Jones, S. (1996). Discourses on Land Degradation in the Uluguru Mountains, Tanzania: Evolution and Influences. Journal of Rural Studies, 12, 187-199. https://doi.org/10.1016/0743-0167(96)00014-9
Kassam, A., Friedrich, T., Shaxson, F., & Pretty, J. (2009). The Spread of Conservation Agriculture: Justification, Sustainability and Uptake. International Journal of Agricultural Sustainability, 7, 292-320. https://doi.org/10.3763/ijas.2009.0477
Kazemi Rad, L., & Haghyghy, M. (2014). Integrated Analytical Hierarchy Process and GIS for Land Use Suitability Analysis. World Applied Sciences Journal, 32, 587-594.
Komba, S. C. F (2015). Investigation of the Potential of Conservation Tillage Practices on Soil Erosion Control on the Slopes of the Uluguru Mountain Ranges (114 p.). Dissertation, Sokoine University of Agriculture.
Krejcí, J., & Stoklasa, J. (2018). Aggregation in the Analytic Hierarchy Process: Why Weighted Geometric Mean Should Be Used Instead of Weighted Arithmetic Mean. Expert Systems with Applications, 114, 97-106. https://doi.org/10.1016/j.eswa.2018.06.060
Liaw, A., & Wiener, M. (2002). Classification and Regression by Random Forest. Review News, 2, 18-22.
Manase, J. (2016). The Adequacy of Environmental Education Techniques and Strategies Employed in Uluguru Mountains Hotspot. International Journal of Education & Literacy Studies, 4, 65-70. https://doi.org/10.7575/aiac.ijels.v.4n.4p.65
Massawe, A., Mvena, D. N., & Chambile, E. L. (2019). Effects of Anthropogenic Activities on Availability of Clean and Safe Water: A Case of Uluguru Forest Catchment Areas of Morogoro, Tanzania, South Asian Journal of Development Research, 1, 114-123.
Mbaga-Semgalawe, Z., & Folmer, H. (2000). Household Adoption Behaviour of Improved Soil Conservation: The Case of the North Pare and West Usambara Mountains of Tanzania. Land Use Policy, 17, 321-336.
Msangi, I. R. (2016). Adoption of Conservation Agricultural Practices among Smallholder Farmers: A Case Study of Uluguru Mountains, Morogoro District (79 p.). Dissertation, Sokoine University of Agriculture.
Msanya, B. M., Kimaro, D. N., Kimbi, G. G., Kileo, E. P., & Mbogoni, J. D. J. (2001). Land Resources Inventory and Suitability Assessment for the Major Land Use Types in Morogoro Urban District, Tanzania. Soils and Land Resources of Morogoro Rural and Urban Districts, Volume 4 (78 p.). Department of Soil Science, Faculty of Agriculture, Sokoine University of Agriculture.
Musie, M., Sen, S., & Srivastava, P. (2019). Comparison and Evaluation of Gridded Precipitation Datasets for Streamflow Simulation in Data Scarce Watersheds of Ethiopia. Journal of Hydrology, 579, 124-168. https://doi.org/10.1016/j.jhydrol.2019.124168
Mustafa, A. A., Singh, M., Sahoo, R. N., Ahmed, N., Khanna, M., & Sarangi, A. (2011). Land Suitability Analysis for Different Crops: A Multi Criteria Decision Making Approach Using Remote Sensing and GIS. Water Technology, 3, 61-84.
Ngondo, J., Mango, J., Nobert, J., Dubi, A., Li, X., & Cheng, H. (2022). Hydrological Response of the Wami-Ruvu Basin to Land-Use and Land-Cover Changes and Its Impacts for the Future. Water, 14, 1-32.
Prakash, T. (2003). Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach (68 p.). MS Theses, International Institute for Geo-Information.
Reyes, T., Quiroz, R., & Msikula, S. (2005). Socio-Economic Comparison between Traditional and Improved Cultivation Methods in Agroforestry Systems, East Usambara Mountains, Tanzania. Environmental Management, 36, 682-690. https://doi.org/10.1007/s00267-004-7269-3
Ruheza, S., Tryphone, G. M., Mbwambo, J. S., Khamis, Z. K., Swella, G., & Mushobozy, D. K. (2012). Studies on the Influence of Tree Tenure on the Adoption of Agroforestry Practices in Uluguru Mountains, Tanzania. International Research Journal of Agricultural Science and Soil Science, 2, 170-178.
Rutatora, D. F., Mafu, S. T. A., & Lulandala, L. L. (1996). The Importance of Farmer Participation in Rehabilitating Degraded Uluguru Mountain Slopes: The Experiences from Magadu and Towero Villages in Morogoro Region, Tanzania. African Study Monographs, 17, 117-128.
Saaty, T. L., & Sodenkamp, M. (2008). Making Decisions in Hierarchic and Network Systems. International Journal of Applied Decision Sciences, 1, 24-79. https://doi.org/10.1504/IJADS.2008.017952
Saha, A., Patil, M., Goyal, V. C., & Rathore, D. S. (2018). Assessment and Impact of Soil Moisture Index in Agricultural Drought Estimation Using Remote Sensing and GIS Techniques. Proceedings, 7, 1-2. https://doi.org/10.3390/ECWS-3-05802
Siddayao, G. P., Valdez, S. E., & Fernandez, P. L. (2014). Analytic Hierarchy Process (AHP) in Spatial Modeling for Floodplain Risk Assessment. International Journal of Machine Learning and Computing, 4, 450-457. https://doi.org/10.7763/IJMLC.2014.V4.453
Silici, L., Ndabe, P., Friedrich, T., & Kassam, A. (2011). Harnessing Sustainability, Resilience and Productivity through Conservation Agriculture: The Case of Likoti in Lesotho. International Journal of Agricultural Sustainability, 9, 137-144. https://doi.org/10.3763/ijas.2010.0555
Stein, W. E., & Mizzi, P. J. (2007). The Harmonic Consistency Index for the Analytic Hierarchy Process. European Journal of Operational Research, 177, 488-497. https://doi.org/10.1016/j.ejor.2005.10.057
Tafesse, B., & Suryabhagavan, K. V. (2019). Systematic Modeling of Impacts of Land-Use and Land-Cover Changes on Land Surface Temperature in Adama Zuria District, Ethiopia. Modeling Earth Systems and Environment, 5, 805-817. https://doi.org/10.1007/s40808-018-0567-1
Ullah, K. M., & Mansourian, A. (2016). Evaluation of Land Suitability for Urban Land-Use Planning: Case Study Dhaka City. Transactions in GIS, 20, 20-37. https://doi.org/10.1111/tgis.12137
Yanda, P. Z., & Munishi, P. K. T. (2007). Hydrologic and Land Use/Cover Change Analysis for the Ruvu River (Uluguru) and Sigi River (East Usambara) Watersheds (87 p.). Report to WWF/CARE for the Equitable Payment for Watershed Services Project.
Zheng, X., Wu, J., & Deng, H. (2021). Spatial Distribution and Land Use of Traditional Villages in Southwest China. Sustainability, 13, 6326. https://doi.org/10.3390/su13116326