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Physical land suitability evaluation of rainfed crop production of wheat, barley, and teff in Arsi zone of Ethiopia

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Abstract

An evaluation of the appropriateness of the land is necessary for sustainable agricultural production. The aim of this study was to evaluate the physical appropriateness of the land in the Arsi zone of Ethiopia for the three major cereal crops: wheat, barley, and teff. The key data sources were climate, topography, soil quality, and current land use/land cover. The analytical hierarchy process was used to evaluate each parameter pair by pair earlier. Finally, once the weights have been calculated, a composite suitable land allocation map is created using a weighted overlay analysis that combines diagnostic soil, climate, and topographic criteria, as well as vector overlay evaluation. About 79.49, 1.15, and 90.56% of the study area are moderately suitable for the production of wheat, teff, and barley, respectively. Furthermore, 20.50, 79.29, and 9.43% of the study area were marginally suitable for wheat, teff, and barley production, respectively. Only about 20% of the study area was discovered to be not suitable for teff crop production. Vector overlay result show that about 0.04 and 0.36% of the land in the study area is moderately and marginally suitable for production of all specified land utilization categories, respectively. In contrast, about 70.16 percent of land was moderately acceptable for wheat and barley crop production but marginally suitable for teff, while about 8.87% of land was marginally suitable for wheat and teff cultivation but moderately suitable for barley cultivation. Soil organic matter, temperature, length of growing season, rainfall, soil depth, and PH were identified to be the primary limiting elements preventing the crop's cultivation in the study area. Integration of AHP with GIS was discovered to be a powerful technique for suitability categorization in the research area.

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Data availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Agidew AA (2015) Land suitability evaluation for sorghum and barley crops in South Wollo Zone of Ethiopia. J Econ Sustain Dev 6(1):14–26

    Google Scholar 

  • Akıncı H, Özalp AY, Turgut B (2013) Agricultural land use suitability analysis using GIS and AHP technique. Comput Electron Agric 97:71–82

    Article  Google Scholar 

  • Alemu T (2015) Socio-economic and institutional factors limiting adoption of wheat row planting in selected districts of Arsi zone. Sci Technol Arts Res J 4(1):229–233

    Article  Google Scholar 

  • Alemu WG, Amare T, Yitaferu B, Selassie YG, Wolfgramm B, Hurni H (2013) Impacts of soil and water conservation on land suitability to crops: the case of Anjeni Watershed, Northwest Ethiopia. J Agric Sci 5(2):95

    Google Scholar 

  • Bandyopadhyay S, Jaiswal RK, Hegde VS, Jayaraman V (2009) Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach. Int J Remote Sens 30(4):879–895

    Article  Google Scholar 

  • Bhagat, R. M., Singh, S., Sood, C., Rana, R. S., Kalia, V., Pradhan, S., ... & Shrestha, B. (2009). Land suitability analysis for cereal production in Himachal Pradesh (India) using geographical information system. Journal of the Indian Society of Remote Sensing, 37(2), 233–240.

  • Congalton RG (2001) Accuracy assessment and validation of remotely sensed and other spatial information. Int J Wildland Fire 10(4):321–328

    Article  Google Scholar 

  • CSA (2014) “Annual Agricultural Sample Survey. Addis Ababa, Central Statistical Agency of Ethiopia(CSA).” http://www.csa.gov.et/index.php/2013-02-20-13-43-35/2013-02-20-13-45-32/ annual-agricultural-sample-survey Daba, M., and E. Oromia. 2016. “Studies

  • CSA (2022). Federal Democratic Republic of Ethiopia central statistical agency population projection of Ethiopia for all regions at Wereda level from 2014–2017. Addis Ababa, Ethiopia.

  • Debesa G, Gebre SL, Melese A, Regassa A, Teka S (2020) GIS and remote sensing-based physical land suitability analysis for major cereal crops in Dabo Hana district. South-West Ethiopia Cogent Food & Agriculture 6(1):1780100

    Article  Google Scholar 

  • Dominati EJ, Mackay AD, Bouma J, Green S (2016) An ecosystems approach to quantify soil performance for multiple outcomes: the future of land evaluation? Soil Sci Soc Am J 80(2):438–449

    Article  Google Scholar 

  • Dula WD (2010) GIS and remote sensing based land suitability analysis for agricultural crops in Mojo Watershed, Upper Awash sub basin, Ethiopia (Doctoral dissertation, Addis Ababa University)

  • Esa E, Assen M (2017) A GIS based land suitability analysis for sustainable agricultural planning in Gelda catchment, Northwest Highlands of Ethiopia. J Geogr Reg Plan 10(5):77–91

    Article  Google Scholar 

  • Eskandari M, Homaee M, Mahmodi S (2012) An integrated multi criteria approach for landfill siting in a conflicting environmental, economical and socio-cultural area. Waste Manage 32(8):1528–1538

    Article  Google Scholar 

  • FAO (1984) Guidelines: land evaluation for rainfed agriculture. FAO

  • Food and Agriculture Organization of the United Nations (2007) Land evaluation: towards a revised framework. FAO

  • Feizizadeh B, Blaschke T, Nazmfar H, Rezaei Moghaddam MH (2013) Landslide susceptibility mapping for the Urmia Lake basin, Iran: a multi-criteria evaluation approach using GIS. Int J Environ Res 7(2):319–336

    Google Scholar 

  • Fekadu E, Negese A (2020) GIS assisted suitability analysis for wheat and barley crops through AHP approach at Yikalo sub-watershed. Ethiopia Cogent Food Agric 6(1):1743623

    Article  Google Scholar 

  • Girmay G, Sebnie W, Reda Y (2018) Land capability classification and suitability assessment for selected crops in Gateno watershed. Ethiopia Cogent Food & Agriculture 4(1):1532863

    Article  Google Scholar 

  • Gizachew A, Selassie YG (2015) Evaluation of land suitability for cash and perennial cops using geographical information system in east Amhara region, Ethiopia. Int J Remote Sens GIS 4(1):1–7

    Google Scholar 

  • Haile G, Suryabhagavan KV (2019) GIS-based approach for identification of potential rainwater harvesting sites in Arsi zone, Central Ethiopia. Model Earth Syst Environ 5(1):353–367

    Article  Google Scholar 

  • Jahanshiri E, Mohd Nizar NM, TengkuMohdSuhairi TAS, Gregory PJ, Mohamed AS, Wimalasiri EM, Azam-Ali SN (2020) A land evaluation framework for agricultural diversification. Sustainability 12(8):3110

    Article  Google Scholar 

  • Jamil M, Sahana M, Sajjad H (2018) Crop suitability analysis in the Bijnor District, UP, using geospatial tools and fuzzy analytical hierarchy process. Agric Res 7(4):506–522

    Article  Google Scholar 

  • Juhos K, Szabó S, Ladányi M (2016) Explore the influence of soil quality on crop yield using statistically-derived pedological indicators. Ecol Ind 63:366–373

    Article  Google Scholar 

  • Kahsay A, Haile M, Gebresamuel G, Mohammed M (2018) GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia. Model Earth Syst Environ 4(4):1467–1486

    Article  Google Scholar 

  • Kamau SW, Kuria DN, Gachari MK (2015) Crop-land suitability analysis using GIS and remote sensing in Nyandarua

  • Landon JR (1991) Tropical soil manual: a handbook for soil survey and agricultural land evaluation in the tropics and sub tropics. Booker Tate Ltd, Longman, Thame, United Kingdom

  • Lillesand TM, Kiefer RW (1994) Remote sensing and image interpretation. John Wiley & Sons Inc, New York

    Google Scholar 

  • Malczewski J (1999) GIS and multicriteria decision analysis. John Wiley & Sons

    Google Scholar 

  • Missaoui H (1996) Soil and water conservation in Tunisia. Sustainability of Irrigated Agriculture. https://doi.org/10.1007/978-94-015-8700-6_9.

  • Mohammed A, Elias E (2017) Domestic waste management and its environmental impacts in Addis Ababa City. African Journal of Environmental and Waste Management ISSN 4(3):206–216

    Google Scholar 

  • Moisa MB, Tiye FS, Dejene IN, Gemeda DO (2022) Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia. Artificial Intelligence in Agriculture 6:34–46

    Article  Google Scholar 

  • Muhaimeed AS, Jaf DR (2016) Land suitability for wheat production under dry farming system in erbil plain using remote sensing and GIS. Int J Res 3(8):1–9

    Google Scholar 

  • Nahusenay A, Kibebew K (2015) Land suitability evaluation in WadlaDelanta Massif of north central highlands of Ethiopia for rainfed crop production. Afr J Agric Res 10(13):1595–1611

    Article  Google Scholar 

  • Pan G, Pan J (2011) Research in crop land suitability analysis based on GIS. In International Conference on Computer and Computing Technologies in Agriculture (pp. 314–325). Springer, Berlin, Heidelberg

  • Qureshi MRN, Singh RK, Hasan M (2018) Decision support model to select crop pattern for sustainable agricultural practices using fuzzy MCDM. Environ Dev Sustain 20(2):641–659

    Article  Google Scholar 

  • Rabia AH, Terribile F (2013) Introducing a new parametric concept for land suitability assessment. Int J Environ Sci Dev 4(1):15

    Article  Google Scholar 

  • Rasheed S, Venugopal K (2009) Land suitability assessment for selected crops in Vellore district based on agro-ecological characterisation. Journal of the Indian Society of Remote Sensing 37(4):615–629

    Article  Google Scholar 

  • Rikalovic A, Cosic I, Lazarevic D (2014) GIS based multi-criteria analysis for industrial site selection. Procedia Engineering 69:1054–1063

    Article  Google Scholar 

  • Roy J, Saha S (2018) Assessment of land suitability for the paddy cultivation using analytical hierarchical process (AHP): a study on Hinglo river basin, Eastern India. Model Earth Syst Environ 4(2):601–618

    Article  Google Scholar 

  • Saaty TL, Vargas LG (2012) The seven pillars of the analytic hierarchy process. In Models, methods, concepts & applications of the analytic hierarchy process (pp. 23–40). Springer, Boston, MA

  • Saaty, T. (1980, November). The analytic hierarchy process (AHP) for decision making. In Kobe, Japan (pp. 1–69).

  • Saaty TL (1994) Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS publications

  • Sharma R, Kamble SS, Gunasekaran A (2018) Big GIS analytics framework for agriculture supply chains: a literature review identifying the current trends and future perspectives. Comput Electron Agric 155:103–120

    Article  Google Scholar 

  • Sys C, Van Ranst E, Debaveye J, Beernaert F (1993) Land evaluation part III. CROP requirements.International training centre for post graduate soil scientists. University of Ghent. https://doi.org/org/233235

  • Tadesse M, Negese A (2020) Land suitability evaluation for sorghum crop by using GIS and AHP techniques in Agamsa sub-watershed. Ethiopia Cogent Food Agric 6(1):1743624

    Article  Google Scholar 

  • Tamrat G (2018) Livestock production system characterization in Arsi zone. Ethiopia International Journal of Livestock Production 9(9):238–245

    Article  Google Scholar 

  • Toranzo J (2007) ¿ Cómo orientar una plantación. Frutic Divers 53:42–46

    Google Scholar 

  • USAID (2014) A review of fifteen crops cultivated in the Sahel (a report on African and Latin American resilience to climate change)

  • Yohannes H, Soromessa T (2018) Land suitability assessment for major crops by using GIS-based multi-criteria approach in AnditTid watershed. Ethiopia Cogent Food Agric 4(1):1470481

    Article  Google Scholar 

Download references

Acknowledgements

The authors owe a debt of gratitude to all secondary data providers. The authors are also appreciative to everyone who helped them at various phases of the project. We appreciate the anonymous reviewers’ feedback.

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The work was planned and designed by Dereje Biru Debalke and Daniel Ayalew Mengistu. The technique section was also verified. The publication’s analysis, validation, and drafting were all helped by the writers. Tesfahun Endalew Admas also assisted in latter stages of the paper’s revision. The final draft has been reviewed and approved by all authors.

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Correspondence to Dereje Biru Debalke.

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Debalke, D.B., Mengistu, D.A. & Admas, T.E. Physical land suitability evaluation of rainfed crop production of wheat, barley, and teff in Arsi zone of Ethiopia. Arab J Geosci 16, 177 (2023). https://doi.org/10.1007/s12517-023-11271-x

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