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

Abdulmalik Mohammed Abdule; Amanuel Kejela Woyesa

doi:doi:10.11648/j.ajaf.20231102.12

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

Abdulmalik Mohammed Abdule, Amanuel Kejela Woyesa

Published in American Journal of Agriculture and Forestry (Volume 11, Issue 2)

Received: 22 November 2022 Accepted: 8 March 2023 Published: 21 March 2023

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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), 2024. Published by Science Publishing Group

Keywords

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

References

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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

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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

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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

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@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}
}

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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  -

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Author Information

Abdulmalik Mohammed Abdule

Natural Resource Directorate, Bedele Agricultural Research Center, Bedele, Ethiopia
Amanuel Kejela Woyesa

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

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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

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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

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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

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@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}
}

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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  -

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