Land Suitability Evaluation for <i>Moringa oleifera</i> Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia

Getachew Haile Wondimu; Woubalem Abera Ayansa

doi:doi:10.11648/j.jps.20221003.14

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Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia

Getachew Haile Wondimu, Woubalem Abera Ayansa

Published in Journal of Plant Sciences (Volume 10, Issue 3)

Received: 13 March 2022 Accepted: 28 April 2022 Published: 12 May 2022

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Abstract

Moringa has been widely used for centuries due to its medicinal properties, nutritional (healthy diet), environmental protection, animal feed and for the purification of turbid surface water. This study examines and evaluate land unit of Weyieb sub basin for the cultivation of moringa tree based on factors that significantly influences the tree growth and productivity. Land suitability analysis is a basic premise for allocating specific land for specific purpose. The study used integrate Geographic Information System (GIS), Remote Sensing (RS) and Analytical Hierarchical Process (AHP) model and weight function to assign suitability weights to criteria and sub-criteria that affect the plant's growth and a predictive cultivation suitability map. Climatic, topographic, edaphic and land use land cover variables were considered in the model as a significantly determinant of moringa tree growth factors. Each of criteria/factor layers were classified (not suitable, less suitable, suitable and highly suitable) based on revied literature and expert level judgement. The Analytical Hierarchical Process indicated that the most influential variable determining Moringa oleifera cultivation were, Elevation, mean annual temperature, mean annual rainfall, soil pH, soil texture, land use land cover and slope, respectively with 8% consistency index. The model results showed that approximately 15.46% (168,001.87 ha) of sub-basin area has optimal growth conditions, 72.75% (790,395.86 ha) suitable conditions and 11.79% (128,042.27 ha) less suitable conditions for cultivating Morina oleifera. The results also reveal that the application and use of integrated GIS and RS with AHP model with weight function is useful for identification and evaluation of land units for M. oleifera cultivation for maximum production output. The results of this study can be useful information for the land-use policy makers and farmers for informed decision-making process regarding the cultivation of M. oleifera in Weyieb sub-basin and other watershed area.

Published in	Journal of Plant Sciences (Volume 10, Issue 3)
DOI	10.11648/j.jps.20221003.14
Page(s)	106-118
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), 2022. Published by Science Publishing Group

Keywords

Weyieb Sub-basin, GIS, AHP, Multiple Criteria, Moringa, Moringa Oliefera

References

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[9]	Saaty T. L., 1977. A scaling method for priorities in hierarchical structures. J Math Psychol 15: 231–281.
[10]	FAO, (2002). World Production of Fish, Crustaceans and Molluscks, etc., by principal species. FAO Fisheries Department Statistical Databases and Software, Yearbook of Fisheries Statistic; [online] Available: http://www.fao.org.
[11]	Shimelis s., (2020). Suitablity Analysis for Moringa Oleifera Tree Production in Ethiopias- Spatial Moedlling Approach.
[12]	Saaty T L (1994). Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. RWS Publications, Pittsburgh, Pa.
[13]	Saaty, T. L. (2005). Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs, and Risks. Pittsburgh: RWS Publications.
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[16]	Saaty, T. L. (1980) The Analytic Hierarchy Process, New York: McGraw Hill. International, Translated to Russian, Portuguese, and Chinese, Revised editions, Paperback (1996, 2000), Pittsburgh: RWS Publications.
[17]	Haile, G., and Suryabhagavan, K. V. (2018), GIS-based approach for identification of potential rainwater harvesting sites in Arsi Zone, Central Ethiopia. Modeling Earth Systems and Environment, 5, 353-367.
[18]	Getachew H. and Dinku S. (2020), Selection of Rainwater Harvesting Sites by Using Remote Sensing and GIS Techniques: A Case Study of Dawa Sub Basin Southern Ethiopia. Journal of Environment and Earth Science, 10, 2225-0948.
[19]	Melesse, A., Steingass, H., Boguhn, J., (2012). Effects of elevation and season on nutrient composition of leaves and green pods of Moringa stenopetala and Moringa oleifera. Agroforest Syst 86, 505–518 (2012). https://doi.org/10.1007/s10457-012-9514-8.
[20]	IUSS Working Group WRB, (2006): World reference base for soil resources 2006 - A framework for international classification, correlation and communication, Rome, Food and Agriculture Organization of the United Nations.
[21]	Palada, M. C., Ebert, A. W., Yang, R. Y., Chang, L. C., Chang, J., Wu, D. L., 2017. Progress in research and development of moringa at the World Vegetable Center. In: Acta Horticulture.
[22]	Pokhrel, C. P., Timilsina, A., Yadav, R. K. P., & Khanal, R. (2016). Moringa Oleifere: A potential cash crop in Nepal. In International Symposium on Healthy Society &Healthy World. Kathmandu, Nepal (pp. 33-41).
[23]	Palada, M. C. (1996). Moringa (Moringa oleifera Lam.): A versatile tree crop with 351 horticultural potentials in the subtropical United States. HortScience, 31, 794–797.

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Getachew Haile Wondimu, Woubalem Abera Ayansa. (2022). Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia. Journal of Plant Sciences, 10(3), 106-118. https://doi.org/10.11648/j.jps.20221003.14

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ACS Style

Getachew Haile Wondimu; Woubalem Abera Ayansa. Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia. J. Plant Sci. 2022, 10(3), 106-118. doi: 10.11648/j.jps.20221003.14

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AMA Style

Getachew Haile Wondimu, Woubalem Abera Ayansa. Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia. J Plant Sci. 2022;10(3):106-118. doi: 10.11648/j.jps.20221003.14

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@article{10.11648/j.jps.20221003.14,
  author = {Getachew Haile Wondimu and Woubalem Abera Ayansa},
  title = {Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {3},
  pages = {106-118},
  doi = {10.11648/j.jps.20221003.14},
  url = {https://doi.org/10.11648/j.jps.20221003.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221003.14},
  abstract = {Moringa has been widely used for centuries due to its medicinal properties, nutritional (healthy diet), environmental protection, animal feed and for the purification of turbid surface water. This study examines and evaluate land unit of Weyieb sub basin for the cultivation of moringa tree based on factors that significantly influences the tree growth and productivity. Land suitability analysis is a basic premise for allocating specific land for specific purpose. The study used integrate Geographic Information System (GIS), Remote Sensing (RS) and Analytical Hierarchical Process (AHP) model and weight function to assign suitability weights to criteria and sub-criteria that affect the plant's growth and a predictive cultivation suitability map. Climatic, topographic, edaphic and land use land cover variables were considered in the model as a significantly determinant of moringa tree growth factors. Each of criteria/factor layers were classified (not suitable, less suitable, suitable and highly suitable) based on revied literature and expert level judgement. The Analytical Hierarchical Process indicated that the most influential variable determining Moringa oleifera cultivation were, Elevation, mean annual temperature, mean annual rainfall, soil pH, soil texture, land use land cover and slope, respectively with 8% consistency index. The model results showed that approximately 15.46% (168,001.87 ha) of sub-basin area has optimal growth conditions, 72.75% (790,395.86 ha) suitable conditions and 11.79% (128,042.27 ha) less suitable conditions for cultivating Morina oleifera. The results also reveal that the application and use of integrated GIS and RS with AHP model with weight function is useful for identification and evaluation of land units for M. oleifera cultivation for maximum production output. The results of this study can be useful information for the land-use policy makers and farmers for informed decision-making process regarding the cultivation of M. oleifera in Weyieb sub-basin and other watershed area.},
 year = {2022}
}

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TY  - JOUR
T1  - Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia
AU  - Getachew Haile Wondimu
AU  - Woubalem Abera Ayansa
Y1  - 2022/05/12
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221003.14
DO  - 10.11648/j.jps.20221003.14
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 106
EP  - 118
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221003.14
AB  - Moringa has been widely used for centuries due to its medicinal properties, nutritional (healthy diet), environmental protection, animal feed and for the purification of turbid surface water. This study examines and evaluate land unit of Weyieb sub basin for the cultivation of moringa tree based on factors that significantly influences the tree growth and productivity. Land suitability analysis is a basic premise for allocating specific land for specific purpose. The study used integrate Geographic Information System (GIS), Remote Sensing (RS) and Analytical Hierarchical Process (AHP) model and weight function to assign suitability weights to criteria and sub-criteria that affect the plant's growth and a predictive cultivation suitability map. Climatic, topographic, edaphic and land use land cover variables were considered in the model as a significantly determinant of moringa tree growth factors. Each of criteria/factor layers were classified (not suitable, less suitable, suitable and highly suitable) based on revied literature and expert level judgement. The Analytical Hierarchical Process indicated that the most influential variable determining Moringa oleifera cultivation were, Elevation, mean annual temperature, mean annual rainfall, soil pH, soil texture, land use land cover and slope, respectively with 8% consistency index. The model results showed that approximately 15.46% (168,001.87 ha) of sub-basin area has optimal growth conditions, 72.75% (790,395.86 ha) suitable conditions and 11.79% (128,042.27 ha) less suitable conditions for cultivating Morina oleifera. The results also reveal that the application and use of integrated GIS and RS with AHP model with weight function is useful for identification and evaluation of land units for M. oleifera cultivation for maximum production output. The results of this study can be useful information for the land-use policy makers and farmers for informed decision-making process regarding the cultivation of M. oleifera in Weyieb sub-basin and other watershed area.
VL  - 10
IS  - 3
ER  -

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Author Information

Getachew Haile Wondimu

Natural Resource Directorate, Oromia Agricultural Research Institute, Addis Ababa, Ethiopia
Woubalem Abera Ayansa

Natural Resource Directorate, Fitche Agricultural Research Canter, Oromia, Ethiopia

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Getachew Haile Wondimu, Woubalem Abera Ayansa. (2022). Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia. Journal of Plant Sciences, 10(3), 106-118. https://doi.org/10.11648/j.jps.20221003.14

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ACS Style

Getachew Haile Wondimu; Woubalem Abera Ayansa. Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia. J. Plant Sci. 2022, 10(3), 106-118. doi: 10.11648/j.jps.20221003.14

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AMA Style

Getachew Haile Wondimu, Woubalem Abera Ayansa. Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia. J Plant Sci. 2022;10(3):106-118. doi: 10.11648/j.jps.20221003.14

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@article{10.11648/j.jps.20221003.14,
  author = {Getachew Haile Wondimu and Woubalem Abera Ayansa},
  title = {Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {3},
  pages = {106-118},
  doi = {10.11648/j.jps.20221003.14},
  url = {https://doi.org/10.11648/j.jps.20221003.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221003.14},
  abstract = {Moringa has been widely used for centuries due to its medicinal properties, nutritional (healthy diet), environmental protection, animal feed and for the purification of turbid surface water. This study examines and evaluate land unit of Weyieb sub basin for the cultivation of moringa tree based on factors that significantly influences the tree growth and productivity. Land suitability analysis is a basic premise for allocating specific land for specific purpose. The study used integrate Geographic Information System (GIS), Remote Sensing (RS) and Analytical Hierarchical Process (AHP) model and weight function to assign suitability weights to criteria and sub-criteria that affect the plant's growth and a predictive cultivation suitability map. Climatic, topographic, edaphic and land use land cover variables were considered in the model as a significantly determinant of moringa tree growth factors. Each of criteria/factor layers were classified (not suitable, less suitable, suitable and highly suitable) based on revied literature and expert level judgement. The Analytical Hierarchical Process indicated that the most influential variable determining Moringa oleifera cultivation were, Elevation, mean annual temperature, mean annual rainfall, soil pH, soil texture, land use land cover and slope, respectively with 8% consistency index. The model results showed that approximately 15.46% (168,001.87 ha) of sub-basin area has optimal growth conditions, 72.75% (790,395.86 ha) suitable conditions and 11.79% (128,042.27 ha) less suitable conditions for cultivating Morina oleifera. The results also reveal that the application and use of integrated GIS and RS with AHP model with weight function is useful for identification and evaluation of land units for M. oleifera cultivation for maximum production output. The results of this study can be useful information for the land-use policy makers and farmers for informed decision-making process regarding the cultivation of M. oleifera in Weyieb sub-basin and other watershed area.},
 year = {2022}
}

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TY  - JOUR
T1  - Land Suitability Evaluation for Moringa oleifera Tree Using GIS and AHP Techniques in Weyieb Sub Basin, Ethiopia
AU  - Getachew Haile Wondimu
AU  - Woubalem Abera Ayansa
Y1  - 2022/05/12
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221003.14
DO  - 10.11648/j.jps.20221003.14
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 106
EP  - 118
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221003.14
AB  - Moringa has been widely used for centuries due to its medicinal properties, nutritional (healthy diet), environmental protection, animal feed and for the purification of turbid surface water. This study examines and evaluate land unit of Weyieb sub basin for the cultivation of moringa tree based on factors that significantly influences the tree growth and productivity. Land suitability analysis is a basic premise for allocating specific land for specific purpose. The study used integrate Geographic Information System (GIS), Remote Sensing (RS) and Analytical Hierarchical Process (AHP) model and weight function to assign suitability weights to criteria and sub-criteria that affect the plant's growth and a predictive cultivation suitability map. Climatic, topographic, edaphic and land use land cover variables were considered in the model as a significantly determinant of moringa tree growth factors. Each of criteria/factor layers were classified (not suitable, less suitable, suitable and highly suitable) based on revied literature and expert level judgement. The Analytical Hierarchical Process indicated that the most influential variable determining Moringa oleifera cultivation were, Elevation, mean annual temperature, mean annual rainfall, soil pH, soil texture, land use land cover and slope, respectively with 8% consistency index. The model results showed that approximately 15.46% (168,001.87 ha) of sub-basin area has optimal growth conditions, 72.75% (790,395.86 ha) suitable conditions and 11.79% (128,042.27 ha) less suitable conditions for cultivating Morina oleifera. The results also reveal that the application and use of integrated GIS and RS with AHP model with weight function is useful for identification and evaluation of land units for M. oleifera cultivation for maximum production output. The results of this study can be useful information for the land-use policy makers and farmers for informed decision-making process regarding the cultivation of M. oleifera in Weyieb sub-basin and other watershed area.
VL  - 10
IS  - 3
ER  -

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