| Peer-Reviewed

Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia

Received: 22 November 2022     Accepted: 8 March 2023     Published: 21 March 2023
Views:       Downloads:
Abstract

Tea is economically important export commodity for Ethiopia Predicting the physical land suitability of tea is vital to avoid a sightless expansion of tea plantations and significant to recognize the potential suitable area for tea to disseminate of tea plantations in the country. Land suitability analysis is pre-request for assigning specific land for specific purposes. The study incorporate applications of Geographic Information System, Remote Sensing and Analytical Hierarchical Process (AHP) to allocate suitability weights to criteria that influence tea plant's growth to produce a predictive suitability map for its cultivation. Topography, Soils, climatic and land use features were included in the process as an important contributing factor for tea plant's growth. Each of the evaluations criteria layers were classified into four suitability class of not suitable, less suitable, suitable, and highly suitable. The results indicated that important influential factors affecting tea cultivation suitability evaluation were Rainfall (23.9%) followed by soils pH (18.05%) Elevation (12.72%), land use (10.79%), Aspect (9.07%), soils texture (6.96%), Slope (6.43), soils Depth (5.25%) temperature (3.42%) and drainage class (3.42%) respectively with 8.23% consistency index. The results revealed that the moderately suitable suitability class occupied the largest proportion of Land (84.92%), followed by highly suitable area (11.42%) and the unsuitable area (3.66%). the study area were precipitation, soil reaction, Altitude, Aspect and current Land use were identified as main limiting factors for Tea productions.

Published in American Journal of Agriculture and Forestry (Volume 11, Issue 2)
DOI 10.11648/j.ajaf.20231102.12
Page(s) 45-57
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Tea Cultivation, Land Suitability Evaluation, GIS, Analytical Hierarchy Process

References
[1] Chen, P, Li, C, Chen, S. Li, Z, Zhang, H, Zhao, C, 2022. Tea Cultivation Suitability Evaluation and Driving Force Analysis Based on AHP and Geodetector Results: A case study of Yingde in Guangdong, China. RemoteSens. https://doi.org/10.3390/rs14102412
[2] Feng, Z.; Li, Y.; Li, M.; Wang, Y.; Zhang, L.; Wan, X.; Yang, X. Tea aroma formation in six model manufacturing processes. Food Chem. 2019, 285, 347–354.
[3] Hajiboland, R. (2017). Environmental and nutritional requirements for tea cultivation. Polish Society for Horticultural Science, 29 (2), 199–220. https://doi.org/10.1515/fhort-2017-0019.
[4] FAO (Food and Agriculture Organization Of The United Nations), 2015. World tea production and trade: Current and future development. Available online at http://www.fao.org/3/a-i4480e.pdf; cited on 25 July 2022.
[5] Sisay Kidanu, Wakjira, Getachew, Tamiru Shimelis, and Mohammedsani Zakir. Survey of Tea (Camellia Sinensis L.) Insect Pests in Southwest Ethiopia International Journal of Research Studies in Agricultural Sciences (IJRSAS) Volume 6, Issue 10, 2020, PP 23-29 ISSN No. (Online) 2454–6224 DOI: https://doi.org/10.20431/2454-6224.0610003 www.arcjournals.org
[6] Gahlod, N. S., Binjola, S., Ravi, & Arya, V. S. (2017). Land-site suitability evaluation for tea, cardamom, and rubber using Geo-spatial technology in Wayanad district, Kerala. Journal of Applied and Natural Science, 9 (3), 1440–1447.
[7] Kariuki, G. M., Njaramba, J. and Ombuki, C., 2022. Tea Production Response to Climate Change in Kenya: An Autoregressive Distributed Lag Approach African Journal of Economic Review, 10 (1), pp. 2-26.
[8] Albert Robbat Jr, Nicole Kfoury, Joshua Morimoto, Amanda Kern, Eric R. Scott, Colin M. Orians, Selena Ahmed, Timothy Griffine, Sean B. Cashb, John Richard Stepp, Dayuan Xueg and Chunlin Long. Striking changes in tea metabolites due to elevation effects 2018. http://www.elsevier.com/open-access/userlicense/1.0/
[9] F. Khormali,, Sh. Ayoubi, F. Kananro Foomani, A. Fatemi, Kh. Hemmati Tea yield, and soil properties as affected by slope, position, and aspect in Lahijan area, Iran International Journal of Plant Production 1 (1), March 2007, ISSN 1735-6814.
[10] Samson Kamunya, Simon Ochanda, Evelyn Cheramgoi, Richard Chalo, Kibet Sitienei, Ogise Muku, Wilfred Kirui and John K. Bore. Tea Growers guide for mobile app TRI 28 February 2019. SK_ed_LW Kenya Agricultural & Livestock Research Organization.
[11] Orphan DENGİZ, Serkan İÇ, Fikret SAYGIN and Ali İMAMOĞLU Assessment of Soil Quality Index for Tea Cultivated Soils in Ortaçay Micro Catchment in Black Sea Region 2018, Journal of Agricultural Sciences Journal homepage: www.agri.ankara.edu.tr/journal
[12] newbusinessethiopia.comtea-production-potential-of-ethiopia/ Accessed 7/5/2022.
[13] Erge, B. E., Bifa, M. A., Temesgen, M., Asfaw, E. and Musema, R., 2021. Assessment of Constraints and Opportunities of Tea Out-Growers in South West Ethiopia. International Journal of Agricultural Economics, 6 (4), p. 151. https://doi:10.11648/j.ijae.20210604.12
[14] Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1 (1): 83–98.
[15] Goepel, Klaus D. (2013). Implementing the Analytic Hierarchy Process as a Standard Method for Multi- Criteria Decision Making In Corporate Enterprises – A New AHP Excel Template with Multiple Inputs, Proceedings of the International Symposium on the Analytic Hierarchy Process 2013, p 1-10.
[16] Karra, K., Kontgis, C., Statman-Weil, Z., Mazzariello, J., Mathis, M. and Brumby, S., 2021. Global land use/land cover with Sentinel-2 and deep learning. IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. “Global land use/land cover with Sentinel-2 and deep learning.” IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021.
[17] Esri website (https://www.esri.com/about/newsroom/announcements/esri-releases-new-2020-global-land-cover-map) online accessed on 24 July, 2022.
[18] Saaty, T. L. A scaling method for priorities in hierarchical structures. J. Math. Psychol. 1977, 15, 234–281 [CrossRef].
[19] Saaty T L (1994). Fundamentals of Decision Making and Priority Theory in the Analytic Hierarchy Process. RWS Publications, Pittsburgh, Interfaces, Vol. 24, No. 6, pp. 19-43.
[20] Saaty, T. L. (2005). Theory and Applications of the Analytic Network Process: Decision Making on Benefits, Opportunities, Costs, and Risks. Pittsburgh: RWS Publications.
[21] Saaty, T. L. and Vargas, L. G. (1991) Prediction, Projection and Forecasting, Boston: Kluwer Academic.
[22] Alonso, J. A. and Lamata, M. T., 2006. Consistency in the analytic hierarchy process: a new approach. International journal of uncertainty, fuzziness and knowledge-based systems, 14 (04), pp. 445-459.
[23] Yaghmaeian MN, Nobahar DN, Rahimi MM and Fatemi CA 2020. Effect of topography on soil properties, yield, and quality of tea in Lahijan region. Agricultural Engineering. 44 (3) (2021) 275-294 ISSN (P): 2588-526X DOI: 10.22055/AGEN.2021.38284.1613.
[24] Sakib hossain, rayhan uddin, pranti barua, md yasin, Mohammad shameem mamunal and md mozammel hoque Effects of plant age, topography and processing system On the biochemical traits and quality of tea, Bangladesh J. Bot. 50 (3): 633-639, 2021 (September) DOI: https://doi.org/10.3329/bjb.v50i3.55843
[25] Muthumani T, Verma D, Venkatesan S and Kumar R 2013. Influence of altitude of planting on the quality of south Indian black teas. J. Nat. Prod. Plant Resour. 3: 18-23.
[26] Marie Ange Ingabire land suitability assessment for tea plantation in Rwanda Case study: Gisakura tea plantation dissertation submitted in partial fulfillment of the requirements for the degree of Master of Science in Agroforestry and Soil management in the College of Agriculture Animal Science and Veterinary Medicine University of Rwanda.
[27] Jayathilaka, P. M. S.; Soni, P.; Perret, S. R.; Jayasuriya, H. P. W..; Salokhe, V. M. Spatial assessment of climate change effects on crop suitability for major plantation crops in Sri Lanka. Reg Environ Change (2012) 12: 55-68, DOI 10.1007/s10113-011-0235-8.
[28] Nijamdeen, A.; Zubair, L.; Dharmadasa, M.; Najimuddin, N.; Malge, C. Seasonal Impact of Climate on Tea Production in Sri Lanka; National Science and Technology commission, Centre for Science and Technology of the Non-Aligned and Other Developing Countries (NAM S&T Centre), Tropical Climate, Mahaweli Authority: Rajawella, Sri Lanka, 2017.
[29] Jayasinghe, H. A. S. L.; Suriyagoda, L. D. B.; Karunarathne, A. S.; Wijeratna, M. A. Modelling shoot growth and yield of Ceylon tea cultivar TRI-2025 (Camellia sinensis (L.) O. Kuntze). J. Agric. Sci. 2018, 156, 200–214. [CrossRef].
[30] Sadeeka Layomi Jayasinghe, Lalit Kumar and Janaki Sandamali. Assessment of Potential Land Suitability for Tea (Camellia sinensis (L.) O. Kuntze) in Sri Lanka Using a GIS-Based Multi-Criteria Approach Agriculture www.mdpi.com/journal/agriculture 2019, 9, 148; https://doi:10.3390/agriculture9070148
Cite This Article
  • APA Style

    Abdulmalik Mohammed Abdule, Amanuel Kejela Woyesa. (2023). Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia. American Journal of Agriculture and Forestry, 11(2), 45-57. https://doi.org/10.11648/j.ajaf.20231102.12

    Copy | Download

    ACS Style

    Abdulmalik Mohammed Abdule; Amanuel Kejela Woyesa. Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia. Am. J. Agric. For. 2023, 11(2), 45-57. doi: 10.11648/j.ajaf.20231102.12

    Copy | Download

    AMA Style

    Abdulmalik Mohammed Abdule, Amanuel Kejela Woyesa. Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia. Am J Agric For. 2023;11(2):45-57. doi: 10.11648/j.ajaf.20231102.12

    Copy | Download

  • @article{10.11648/j.ajaf.20231102.12,
      author = {Abdulmalik Mohammed Abdule and Amanuel Kejela Woyesa},
      title = {Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia},
      journal = {American Journal of Agriculture and Forestry},
      volume = {11},
      number = {2},
      pages = {45-57},
      doi = {10.11648/j.ajaf.20231102.12},
      url = {https://doi.org/10.11648/j.ajaf.20231102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20231102.12},
      abstract = {Tea is economically important export commodity for Ethiopia Predicting the physical land suitability of tea is vital to avoid a sightless expansion of tea plantations and significant to recognize the potential suitable area for tea to disseminate of tea plantations in the country. Land suitability analysis is pre-request for assigning specific land for specific purposes. The study incorporate applications of Geographic Information System, Remote Sensing and Analytical Hierarchical Process (AHP) to allocate suitability weights to criteria that influence tea plant's growth to produce a predictive suitability map for its cultivation. Topography, Soils, climatic and land use features were included in the process as an important contributing factor for tea plant's growth. Each of the evaluations criteria layers were classified into four suitability class of not suitable, less suitable, suitable, and highly suitable. The results indicated that important influential factors affecting tea cultivation suitability evaluation were Rainfall (23.9%) followed by soils pH (18.05%) Elevation (12.72%), land use (10.79%), Aspect (9.07%), soils texture (6.96%), Slope (6.43), soils Depth (5.25%) temperature (3.42%) and drainage class (3.42%) respectively with 8.23% consistency index. The results revealed that the moderately suitable suitability class occupied the largest proportion of Land (84.92%), followed by highly suitable area (11.42%) and the unsuitable area (3.66%). the study area were precipitation, soil reaction, Altitude, Aspect and current Land use were identified as main limiting factors for Tea productions.},
     year = {2023}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia
    AU  - Abdulmalik Mohammed Abdule
    AU  - Amanuel Kejela Woyesa
    Y1  - 2023/03/21
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ajaf.20231102.12
    DO  - 10.11648/j.ajaf.20231102.12
    T2  - American Journal of Agriculture and Forestry
    JF  - American Journal of Agriculture and Forestry
    JO  - American Journal of Agriculture and Forestry
    SP  - 45
    EP  - 57
    PB  - Science Publishing Group
    SN  - 2330-8591
    UR  - https://doi.org/10.11648/j.ajaf.20231102.12
    AB  - Tea is economically important export commodity for Ethiopia Predicting the physical land suitability of tea is vital to avoid a sightless expansion of tea plantations and significant to recognize the potential suitable area for tea to disseminate of tea plantations in the country. Land suitability analysis is pre-request for assigning specific land for specific purposes. The study incorporate applications of Geographic Information System, Remote Sensing and Analytical Hierarchical Process (AHP) to allocate suitability weights to criteria that influence tea plant's growth to produce a predictive suitability map for its cultivation. Topography, Soils, climatic and land use features were included in the process as an important contributing factor for tea plant's growth. Each of the evaluations criteria layers were classified into four suitability class of not suitable, less suitable, suitable, and highly suitable. The results indicated that important influential factors affecting tea cultivation suitability evaluation were Rainfall (23.9%) followed by soils pH (18.05%) Elevation (12.72%), land use (10.79%), Aspect (9.07%), soils texture (6.96%), Slope (6.43), soils Depth (5.25%) temperature (3.42%) and drainage class (3.42%) respectively with 8.23% consistency index. The results revealed that the moderately suitable suitability class occupied the largest proportion of Land (84.92%), followed by highly suitable area (11.42%) and the unsuitable area (3.66%). the study area were precipitation, soil reaction, Altitude, Aspect and current Land use were identified as main limiting factors for Tea productions.
    VL  - 11
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Natural Resource Directorate, Bedele Agricultural Research Center, Bedele, Ethiopia

  • Natural Resource Directorate, Bedele Agricultural Research Center, Bedele, Ethiopia

  • Sections