Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques
Agricultural Land Suitability Analysis plays a pivotal role in sustainable land use planning, aiding decision-makers in identifying areas most conducive to agriculture. This study employs a systematic approach integrating Analytical Hierarchy Process and Multi-Criteria Decision Analysis techniques t...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Cogent Food & Agriculture |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2023.2294540 |
| _version_ | 1826936085937127424 |
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| author | Sajjad Hussain Wajid Nasim Muhammad Mubeen Shah Fahad Aqil Tariq Shankar Karuppannan Saeed Alqadhi Javed Mallick Hussein Almohamad Hazem Ghassan Abdo |
| author_facet | Sajjad Hussain Wajid Nasim Muhammad Mubeen Shah Fahad Aqil Tariq Shankar Karuppannan Saeed Alqadhi Javed Mallick Hussein Almohamad Hazem Ghassan Abdo |
| author_sort | Sajjad Hussain |
| collection | DOAJ |
| description | Agricultural Land Suitability Analysis plays a pivotal role in sustainable land use planning, aiding decision-makers in identifying areas most conducive to agriculture. This study employs a systematic approach integrating Analytical Hierarchy Process and Multi-Criteria Decision Analysis techniques to assess and prioritize the suitability of agricultural land in in Southern Punjab (Multan region). The methodology involves defining clear objectives, identifying relevant criteria and sub-criteria, establishing a hierarchical structure and conducting pairwise comparisons to determine the relative importance of each factor. Our outcomes indicated that almost 43% area was highly suitable for agriculture, 27% moderately suitable, 16% marginally suitable, 8% less suitable and 6% not suitable for agriculture in study area. All the suitable lands had silty clay or clay type soil, which had sandy loam type soil in Multan region. The output is a comprehensive suitability map that identifies the most suitable areas for agriculture in Multan region. Sensitivity analysis and validation are incorporated to enhance the robustness and reliability of the results. This methodology provides a valuable tool for land use planners and policymakers to make informed decisions regarding agricultural land allocation, contributing to sustainable agricultural practices and resource management. |
| first_indexed | 2024-03-08T13:32:16Z |
| format | Article |
| id | doaj.art-3aa5a56b4063475193c7af2cfc8be567 |
| institution | Directory Open Access Journal |
| issn | 2331-1932 |
| language | English |
| last_indexed | 2025-02-17T18:16:09Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Food & Agriculture |
| spelling | doaj.art-3aa5a56b4063475193c7af2cfc8be5672024-12-13T09:52:52ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322024-12-0110110.1080/23311932.2023.2294540Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniquesSajjad Hussain0Wajid Nasim1Muhammad Mubeen2Shah Fahad3Aqil Tariq4Shankar Karuppannan5Saeed Alqadhi6Javed Mallick7Hussein Almohamad8Hazem Ghassan Abdo9Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, PakistanDepartment of Agronomy, University College of Agriculture and Environmental Sciences, The Islamia University of Bahawalpur (IUB), Bahawalpur, PakistanDepartment of Biotechnology, COMSATS University Islamabad, Vehari Campus, Vehari, PakistanDepartment of Agronomy, Abdul Wali Khan University, Mardan, PakistanDepartment of Wildlife, Fisheries and Aquaculture, College of Forest Resources, Mississippi State University, MS, USADepartment of Applied Geology, School of Applied Natural Science, Adama Science and Technology University, Adama, Ethiopia; Department of Research Analytics, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, IndiaDepartment of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi ArabiaDepartment of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi ArabiaDepartment of Geography, College of Arabic Language and Social Studies, Qassim University, Buraydah, Saudi ArabiaGeography Department, Faculty of Arts and Humanities, Tartous University, Tartous, SyriaAgricultural Land Suitability Analysis plays a pivotal role in sustainable land use planning, aiding decision-makers in identifying areas most conducive to agriculture. This study employs a systematic approach integrating Analytical Hierarchy Process and Multi-Criteria Decision Analysis techniques to assess and prioritize the suitability of agricultural land in in Southern Punjab (Multan region). The methodology involves defining clear objectives, identifying relevant criteria and sub-criteria, establishing a hierarchical structure and conducting pairwise comparisons to determine the relative importance of each factor. Our outcomes indicated that almost 43% area was highly suitable for agriculture, 27% moderately suitable, 16% marginally suitable, 8% less suitable and 6% not suitable for agriculture in study area. All the suitable lands had silty clay or clay type soil, which had sandy loam type soil in Multan region. The output is a comprehensive suitability map that identifies the most suitable areas for agriculture in Multan region. Sensitivity analysis and validation are incorporated to enhance the robustness and reliability of the results. This methodology provides a valuable tool for land use planners and policymakers to make informed decisions regarding agricultural land allocation, contributing to sustainable agricultural practices and resource management.https://www.tandfonline.com/doi/10.1080/23311932.2023.2294540Agricultureland suitabilityenvironmentGISAHPManuel Tejada, Universidad de Sevilla, Spain |
| spellingShingle | Sajjad Hussain Wajid Nasim Muhammad Mubeen Shah Fahad Aqil Tariq Shankar Karuppannan Saeed Alqadhi Javed Mallick Hussein Almohamad Hazem Ghassan Abdo Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques Cogent Food & Agriculture Agriculture land suitability environment GIS AHP Manuel Tejada, Universidad de Sevilla, Spain |
| title | Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques |
| title_full | Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques |
| title_fullStr | Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques |
| title_full_unstemmed | Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques |
| title_short | Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques |
| title_sort | agricultural land suitability analysis of southern punjab pakistan using analytical hierarchy process ahp and multi criteria decision analysis mcda techniques |
| topic | Agriculture land suitability environment GIS AHP Manuel Tejada, Universidad de Sevilla, Spain |
| url | https://www.tandfonline.com/doi/10.1080/23311932.2023.2294540 |
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