Assessment and Quantification of Land Productivity Potential in Kilindi District
DOI:
https://doi.org/10.48346/IMIST.PRSM/ajlp-gs.v7i5.49708Keywords:
Land Productivity Index, Geographical Information SystemAbstract
The soil and vegetation degradation is a huge threat to Africa’s land production. The Land's productive capacity can be evaluated directly or indirectly. Direct evaluations are carried out in the field, greenhouse, or laboratory using some experiments under given climatic and management conditions. Indirect evaluations consist of developing and applying varying-complexity models to estimate soil productivity. The main objective of this research was to determine the land productivity index based on various soil and physical parameters using the GIS tool. Specifically, the study focused on quantifying Land productivity for cultivation and grazing at district and division levels. However, the study was conducted in the Kilindi district in the Tanga region. The study area covers about 643155.3ha. After analyzing, and evaluating topographic, and soil properties, a result map was generated for the land productivity index (LPI) through GIS. The square root formula was used to generate the Land productivity index after rating the soil and topography factors for the entire district; the classification of Land productivity was established. According to the results, while most of the study area’s Land productivity (30%-45%) consists of Average and poor classes (II and III) in terms of Crop Cultivation uses, it was found that 6.54% (42040 ha) of the study area has good Land for crop production (II), 26.31 % (169200 ha) of land has average land productivity (III) 40.57 % (260924 ha) has poor land and 26.59%( 643155 ha) and rest of has extremely poor or nil (V).
References
Abatzoglou, J. T. (2013). Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33(1), 121–131. https://doi.org/10.1002/joc.3413
Abdellatif, M. A., El Baroudy, A. A., Arshad, M., Mahmoud, E. K., Saleh, A. M., Moghanm, F. S., Shaltout, K. H., Eid, E. M., & Shokr, M. S. (2021). A GIS-based approach for the quantitative assessment of soil quality and sustainable agriculture. Sustainability (Switzerland), 13(23). https://doi.org/10.3390/su132313438
Adams, E. A., Thill, A., Kuusaana, E. D., & Mittag, A. (2023). Farmer-herder conflicts in sub-Saharan Africa: drivers, impacts, and resolution and peacebuilding strategies. Environmental Research Letters, 18(12). https://doi.org/10.1088/1748-9326/ad0702
Akinci, H., Özalp, A. Y., & Turgut, B. (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture, 97, 71–82. https://doi.org/10.1016/j.compag.2013.07.006
Al-shalabi, M. a., Mansor, S. Bin, Ahmed, N. Bin, & Shiriff, R. (2006). GIS Based Multicriteria Approaches to Housing Site Suitability Assessment. XXIII FIG Congress. Shaping the Change. Munich, Germany, October 8-13, 1–17.
Alphonse, R. (2017). Ending rural hunger: The Case of Tanzania. Africa Growth Initiative at Brookings, 51. https://assets.ctfassets.net/5faekfvmlu40/ZV2xshpSScu6Ym0iakqCG/b54fbc84169d77f8f203025fecc37fc5/Tanzania_ERH_FINAL_v1.pdf
Baja, S., Neswati, R., & Rukmana, D. (2020). Land Suitability Assessment in Agriculture , Using Gis Model Based on Fuzzy Approach : a Case Study for Cocoa Cultivation in Enrekang , Indonesia. 20, 3464–3475.
Batjes, N. H. (1997). A world dataset of derived soil properties by FAO-UNESCO soil unit for global modelling. Soil Use and Management, 13(1), 9–16. https://doi.org/10.1111/j.1475-2743.1997.tb00550.x
Bernard, B., Mwanjalolo, M. J. G., Moses, B., James, K., Paul, M., Ojoatre, S., Lydia, W., & Walusimbi, M. N. (2022). A Simplified Spatial Methodology for Assessing Land Productivity Status in Africa. Land, 11(5), 0–19. https://doi.org/10.3390/land11050730
Boniface, H. J. M., Abel, K. K., & Brian, K. S. (2019). Involving small holder farmers in the agricultural land use planning process using Analytic Hierarchy Process in rice farming systems of Kilombero Valley, Tanzania. African Journal of Agricultural Research, 14(7), 395–405. https://doi.org/10.5897/ajar2018.13714
Chen, J. (2014). GIS-based multi-criteria analysis for land use suitability assessment in City of Regina. Environmental Systems Research, 3(1), 13. https://doi.org/10.1186/2193-2697-3-13
Chen, Y., Yu, J., & Khan, S. (2013). The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making. Environmental Modelling and Software, 48, 129–140. https://doi.org/10.1016/j.envsoft.2013.06.010
Chivasaa, W., Mutanga, O., & Biradarc, C. (2022). Mapping land suitability for maize (Zea mays L.) production using GIS and AHP technique in Zimbabwe. South African Journal of Geomatics, 8(2), 265–281. https://doi.org/10.4314/sajg.v8i2.11
Dengiz, O., & Sağlam, M. (2012a). Determination of land productivity index based on parametric approach using Eurasian Journal of Soil Science Determination of land productivity index based on parametric approach using GIS technique. December 2014.
Dengiz, O., & Sağlam, M. (2012b). Determination of land productivity index based on parametric approach using GIS technique. Eurasian Journal of Soil Science, 1(December), 51–57.
Duc, T. T. (2006). Usıng Gıs And Ahp Technıque For Land-Use Suıtabılıty Analysıs.
Effat, H. A., & Hassan, O. A. (2013). Designing and evaluation of three alternatives highway routes using the Analytical Hierarchy Process and the least-cost path analysis, application in Sinai Peninsula, Egypt. Egyptian Journal of Remote Sensing and Space Science, 16(2), 141–151. https://doi.org/10.1016/j.ejrs.2013.08.001
Elaalem, M. (2012). Land Suitability Evaluation for Sorghum Based on Boolean and Fuzzy-Multi-Criteria Decision AnalysisMethods. International Journal of Environmental Science and Development, 3(4), 357–361. https://doi.org/10.7763/ijesd.2012.v3.247
Falanta, E., & Bengesi, K. (2018). Drivers and Consequences of Recurrent Conflicts between Farmers and Pastoralists in Kilosa and Mvomero Districts, Tanzania. Journal of Sustainable Development, 11(4), 13. https://doi.org/10.5539/jsd.v11n4p13
Feizizadeh, B., & Blaschke, T. (2013). Land suitability analysis for Tabriz County, Iran: A multi-criteria evaluation approach using GIS. Journal of Environmental Planning and Management, 56(1), 1–23. https://doi.org/10.1080/09640568.2011.646964
Feizizadeh, B., Shadman Roodposhti, M., Jankowski, P., & Blaschke, T. (2014). A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping. Computers and Geosciences, 73, 208–221. https://doi.org/10.1016/j.cageo.2014.08.001
Frampton, W. J., Dash, J., Watmough, G., & Milton, E. J. (2013). Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation. ISPRS Journal of Photogrammetry and Remote Sensing, 82, 83–92. https://doi.org/10.1016/j.isprsjprs.2013.04.007
Gu, Z., Xie, Y., Gao, Y., Ren, X., Cheng, C., & Wang, S. (2018). Quantitative assessment of soil productivity and predicted impacts of water erosion in the black soil region of northeastern China. Science of the Total Environment, 637–638, 706–716. https://doi.org/10.1016/j.scitotenv.2018.05.061
Halder, B., Bandyopadhyay, J., & Banik, P. (2020). Assessment of hospital sites’ suitability by spatial information technologies using AHP and GIS-based multi-criteria approach of Rajpur–Sonarpur Municipality. Modeling Earth Systems and Environment, 6(4), 2581–2596. https://doi.org/10.1007/s40808-020-00852-4
Henry, G. M., Milline, J. M., & Faustin, P. M. (2019). Innovative pathways for enhancing climate change and variability resilience among agro-pastoral communities in semi-arid areas of Kiteto and Kilindi Districts, Tanzania. African Journal of Environmental Science and Technology, 13(5), 201–219. https://doi.org/10.5897/ajest2019.2650
Jankowski, W. (n.d.). Wojciech Jankowski Land Use Mapping Development and Methods. I.
Kasim, N., Sawut, R., Abliz, A., Qingdong, S., Maihmuti, B., Yalkun, A., & Kahaer, Y. (2018). Estimation of the relative chlorophyll content in spring wheat based on an optimized spectral index. Photogrammetric Engineering and Remote Sensing, 84(12), 801–811. https://doi.org/10.14358/PERS.84.12.801
Kiker, G. A., Bridges, T. S., Varghese, A., Seager, P. T. P., & Linkov, I. (2005). Application of multicriteria decision analysis in environmental decision making. Integrated Environmental Assessment and Management, 1(2), 95–108. https://doi.org/10.1897/IEAM_2004a-015.1
Kothari, A., Edwards, N., Hamel, N., & Judd, M. (2009). Is research working for you? validating a tool to examine the capacity of health organizations to use research. Implementation Science, 4(1), 1–9. https://doi.org/10.1186/1748-5908-4-46
Kuria, D., Ngari, D., & Waithaka, E. (2011). Using geographic information systems (GIS) to determine land suitability for rice crop growing in the Tana delta. Journal of Geography and Regional Planning, 4(9), 525–532. http://www.academicjournals.org/JGRP
Kussul, N., Lavreniuk, M., Kolotii, A., Skakun, S., Rakoid, O., & Shumilo, L. (2020). A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data. International Journal of Digital Earth, 13(2), 309–321. https://doi.org/10.1080/17538947.2019.1610807
LDN TSP. (2018). Tanzania LDN TSP Country Report.
Malczewski, J. (2004). GIS-based land-use suitability analysis: A critical overview. Progress in Planning, 62(1), 3–65. https://doi.org/10.1016/j.progress.2003.09.002
Massay, G. (2020). The struggles for land rights by rural women in sub-Saharan Africa: The case of Tanzania. African Journal of Economic and Management Studies, 11(2), 271–283. https://doi.org/10.1108/AJEMS-03-2019-0120
Mbonile, M., Mkindi, A., Sokoni, C., & Mwanukuzi, P. (2021). Mapping Poverty, Vulnerability and resource rights in Kilindi district, Tanzania. Journal of the Geographical Association of Tanzania, 37(1), 1–25. https://doi.org/10.56279/jgat.v37i1.133
Mekala, S., & Polepongu, S. (2019). Impact of climate change on soil microbial community. Plant Biotic Interactions: State of the Art, October, 31–41. https://doi.org/10.1007/978-3-030-26657-8_3
Mjata, P. J. (2015). THE IMPACT OF CLIMATE CHANGE ON RURAL LIVELIHOODS IN THE NORTH NGUU MOUNTAINS, KILINDI DISTRICT, TANZANIA PETER JOHN MJATA A THESIS SUBMITTED IN FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (PhD) OF THE OPEN UNIVERSITY OF TANZANI. 1–289.
MoF. (2023). THE ECONOMIC SURVEY 2022 THE UNITED REPUBLIC OF TANZANIA Ministry of Finance. Moef, 258.
Msanya, B., Magoggo, J., & Otsuka, H. (2002). Development of Soil Surveys in Tanzania. Pedologist, VOL.46, 79–88.
Mu, E., & Pereyra-Rojas, M. (2018). Understanding the Analytic Hierarchy Process. 2012, 7–22. https://doi.org/10.1007/978-3-319-68369-0_2
Murayama, Y. (2014). Progress in geospatial analysis. Progress in Geospatial Analysis, 9784431540, 1–291. https://doi.org/10.1007/978-4-431-54000-7
Nyeko, M. (2012). GIS and Multi-Criteria Decision Analysis for Land Use Resource Planning. Journal of Geographic Information System, 04(04), 341–348. https://doi.org/10.4236/jgis.2012.44039
Nzogela, M. L. (2014). Land conflict between Pastoralists and Farmers in Tanzania: Approach for Enforcement. 9.
Parit Luka Saruni, Justin Kalisti Urassa, & George Chamungwana Kajembe. (2018). Forms and Drivers of Conflicts between Farmers and Pastoralists in Kilosa and Kiteto Districts, Tanzania. Journal of Agricultural Science and Technology A, 8(6). https://doi.org/10.17265/2161-6256/2018.06.001
Pasqualotto, N., Delegido, J., Van Wittenberghe, S., Rinaldi, M., & Moreno, J. (2019). Multi-crop green LAI estimation with a new simple sentinel-2 LAI index (SeLI). Sensors (Switzerland), 19(4). https://doi.org/10.3390/s19040904
Quinta-Nova, L. (2018). An Integrated Agroforestal Suitability Model Using a GIS-Based Multicriteria Analysis Method: A Case Study of Portugal. Technology, Engineering & Mathematics (EPSTEM), 3, 11–20. www.isres.org
Reshmidevi, T. V., Eldho, T. I., & Jana, R. (2009). A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds. Agricultural Systems, 101(1–2), 101–109. https://doi.org/10.1016/j.agsy.2009.04.001
Ringo, J. J., Bengesi, K. M. K., & Mbago, M. C. Y. (2018). Gender determined roles and under-five mortality among agro-pastoralist communities in Handeni District, Tanzania. Journal of Population and Social Studies, 26(3), 195–206. https://doi.org/10.25133/JPSSv26n3.014
Rivoirard, J. (2001). Which models for collocated cokriging? Mathematical Geology, 33(2), 117–131. https://doi.org/10.1023/a:1007530600152
Saaty, T. L., & Bennett, J. P. (1977). A theory of analytical hierarchies applied to political candidacy. Behavioral Science, 22(4), 237–245. https://doi.org/10.1002/bs.3830220402
Saaty, T. L., & Vargas, L. G. (1980). Hierarchical Analysis of Behavior in. Behavioral Science, 25, 180–191.
Schilling, J., Opiyo, F. E. O., & Scheffran, J. (2012). Raiding pastoral livelihoods: motives and effects of violent conflict in north-western Kenya. Pastoralism, 2(1), 1–16. https://doi.org/10.1186/2041-7136-2-25
Sitienei, R. C., Onwonga, R. N., Lelei, J. J., & Kamoni, P. (2017). Use of Dolichos (Lablab Purpureus L.) and Combined Fertilizers enhance Soil Nutrient Availability, and Maize (Zea Mays L.) Yield in Farming Systems of Kabete sub-County, Kenya. Agricultural Science Research Journal, 7(2), 47–61. http://resjournals.com/journals/agricultural-science-research-journal.html
Tanzania National Beareu of statistics. (2022). Administrative Units Population Distribution Report. National Population and House Census of Tanzania. National Bureau of Statistics, Dar Es Salaam, Tanzania. https://www.nbs.go.tz/index.php/en/census-surveys/population-and-housing-census/852-2022-population-and-housing-census-administrative-units-population-distribution-and-age-sex-reports
Tashayo, B., Honarbakhsh, A., Akbari, M., & Eftekhari, M. (2020). Land suitability assessment for maize farming using a GIS-AHP method for a semi- arid region, Iran. Journal of the Saudi Society of Agricultural Sciences, 19(5), 332–338. https://doi.org/10.1016/j.jssas.2020.03.003
Wayne, C. (2003). Suitability Analysis With Raster Data-Part 2. ArcUser, June, 42–46. www.esri.com
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 African Journal on Land Policy and Geospatial Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The African Journal on Land Policy and Geospatial Sciences (AJLP&GS) is made available under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License https://creativecommons.org/licenses/by-nc-sa/4.0/. Authors with free access retain the copyright of their manuscripts. All open access manuscripts are published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited. The use of general descriptive names, trade names, trademarks, etc. in this publication, even if not specifically identified, does not imply that applicable laws and regulations do not protect these names. Even though the advice and information in this journal are true and accurate as of the date of its publication, neither the authors, the editor, nor the publisher can assume any legal responsibility for any errors or omissions.
