Land suitability assessment of small tea plantations for sustainability using analytical hierarchy process (AHP) technique: a case study of Udalguri district, Assam (India)
DOI:
https://doi.org/10.26485/AGL/2025/118/7Keywords:
Land Suitability Assessment, GIS, MCDA, AHP, Assam, Small Tea PlantationAbstract
Land is one of the most precious natural resources in densely populated regions of the world like India. The everincreasing population and increasing number of small tea growers (STGs) in Assam and the expansion of settlements have caused difficulties for small tea growers in choosing land, as not every land is suitable for tea cultivation. In Udalguri district, 54.13% are low-lying areas, and more than half the population is engaged as farmers in the district. So, finding land very suitable for tea cultivation is difficult and expensive. On the other hand, farmers are expanding in the northern foothills region of Bhutan and even up to the forest region. So, as suitable land is very scarce, people can also grow in some parts of the low-lying areas. The present study is therefore an attempt to employ the GIS based multi-criterion decision analysis (MCDA) and analytical Hierarchy Process to derive land suitability assessment of Udalguri district for Small Tea Plantations (STPs). Here, 12 factors with the potential to influence land suitability (namely, elevation, slope, groundwater, precipitation, temperature, relative humidity, Soil pH, Soil Nitrogen, Soil Moisture, Soil Organic Carbon, LULC and NDVI) are considered for land suitability assessment of STPs. These criteria are assigned weightages using AHP, wherein elevation has been given the highest criteria followed by groundwater and others. Based on these techniques, land suitability assessment (LSA) of the district is classified into four zones, namely high, moderate, marginal and not suitable. The results, thus validated, imply that the methodology adopted in deriving LSA is highly reliable, which can support the sustainable utilisation, development and management of land resources in the district. Besides the identification and mapping of village wise LSA are very essential for planning of land resource management and agricultural risk mitigation, which ultimately help in sustainable rural development.
References
Akıncı H., Özalp A.Y., Turgut B. 2013. Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture 97: 71-82. https://doi.org/10.1016/j.compag.2013.07.006
Arhin I., Yeboah E., Liu X., Liu A., Chen X., Li X. 2024. Integrating farmers’ perception of sustainable agricultural technologies towards the development of sustainable tea production in China. International Journal of Agricultural Sustainability 22(1). https://doi.org/10.1080/14735903.2024.2303886
Bhuyan M.J., Deka N. 2022. Delineation of groundwater potential zones at micro-spatial units of Nagaon district in Assam, India, using GIS-based MCDA and AHP techniques. Environmental Science and Pollution Research 31: 54107-54128. https://dx.doi.org/10.1007/s11356-022-24505-4
Biggs E.M., Gupta N., Saikia S.D., Duncan J.M.A. 2018. The tea landscape of Assam: Multi-stakeholder insights into sustainable livelihoods under a changing climate. Environmental Science & Policy 82: 9-18. https://doi.org/10.1016/j.envsci.2018.01.003
Bingen J., Serrano A., Howard J. 2003. Linking farmers to markets: different approaches to human capital development. Food Policy 28(4): 405-419. https://doi.org/10.1016/j.foodpol.2003.08.007
Chen A., Chen H.Y., Chen C. 2014. Use of Temperature and Humidity Sensors to Determine Moisture Content of Oolong Tea. Sensors 14(8): 15593-15609. doi:10.3390/s140815593
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. Remote Sensing 14(10): 2412. https://doi.org/10.3390/rs14102412
Das A.C., Noguchi R., Ahamed T. 2020. Integrating an Expert System, GIS, and Satellite Remote Sensing to Evaluate Land Suitability for Sustainable Tea Production in Bangladesh. Remote Sensing 12(24): 4136. https://doi.org/10.3390/rs12244136
Deka N., Goswami K. 2021. Economic sustainability of organic cultivation of Assam tea produced by small-scale growers. Sustainable Production and Consumption 26: 111-125. https://doi.org/10.1016/j.spc.2020.09.020
Directorate of Economics and Statistics, Assam. 2023. Statistical handbook of Assam. Government of Asam. Online: https://des.assam.gov.in/sites/default/files/swf_utility_folder/departments/ecostat_medhassu_in_oid_3/menu/document/statistical_handbook_assam_2023.pdf
Duncan J.M.A., Saikia S.D., Gupta N., Biggs E.M. 2016. Observing climate impacts on tea yield in Assam, India. Applied geography 77: 64-71. https://dx.doi.org/10.1016/j.apgeog.2016.10.004
Evans A.W. 1983. The Determination of the Price of Land. Urban Studies 20(2): 119-129. https://doi.org/10.1080/00420988320080271
Hajiboland R. 2017. Environmental and nutritional requirements for tea cultivation. Folia Horticulture 29(2): 199-220. DOI: 10.1515/fhort-2017-0019
Hashim H., Abd Latif Z., Adnan N.A. 2019. Urban vegetation classification with NDVI threshold value method with very high resolution (VHR) Pleiades imagery. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences 42: 237-240.
He S., Zheng Z., Zhu R. 2021. Long-term tea plantation effects on composition and stabilization of soil organic matter in Southwest China. Catena 199: 105132. https://doi.org/10.1016/j.catena.2020.105132
Huang Y. 2023. Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation. Plants 12: 2309. https://doi.org/10.3390/plants12122309
Jain S.K., Kumar V., Saharia M. 2012. Analysis of rainfall and temperature trends in northeast India. International Journal of Climatology 33(4): 968-978. DOI: 10.1002/joc.3483
Jayasinghe S.L., Kumar L. 2021. Potential Impact of the Current and Future Climate on the Yield, Quality, and Climate Suitability for Tea [Camellia sinensis (L.) O. Kuntze]: A Systematic review. Agronomy 11(4): 619. https://doi.org/10.3390/agronomy11040619
Jayasinghe S.L., Kumar L., Sandamali J. 2019. Assessment of Potential Land Suitability for Tea (Camellia sinensis (L.) O. Kuntze) in Sri Lanka Using a GIS-Based Multi-criteria Approach. Agriculture 9(7): 148. doi:10.3390/agriculture9070148
Karapetsas N., Gobin A., Bilas G., Koutsos T.M., Pavlidis V., Katragkou E., Alexandridis T.K. 2024. Analysis of Land Suitability for Maize Production under Climate Change and Its Mitigation Potential through Crop Residue Management. Land 13(1): 63. https://doi.org/10.3390/land13010063
Khazaii J. 2016. Analytical Hierarchy Process (AHP). Advanced Decisions Making for HVAC Engineers: 73-85. https://doi.org/10.1007/978-3-319-33328-1_9
Mallick M., Krishnaiah Y.V., Panja K., Das D., Rai D., Hati M., Chakma A. 2024. Land suitability assessment for tea cultivation in Jalpaiguri district of West Bengal, India, using AHP and DEMATEL techniques. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05711-1
Prokop P. 2018. Tea plantations as a driving force of long-term land use and population changes in the eastern Himalayan piedmont. Land Use Policy, 77: 51-62. https://doi.org/10.1016/j.landusepol.2018.05.035
Quan B., Zhu H.J., Chen S.L., Romkens M.J.M., Li B.C. 2007. Land Suitability Assessment and Land Use Change in Fujian Province, China. Pedosphere 17(4): 493-504. https://doi.org/10.1016/S1002-0160(07)60059-9
Rahaman S.A., Aruchamy S. 2022. Land Suitability Evaluation of Tea (Camellia sinensis L.) Plantation in Kallar Watershed of Nilgiri Bioreserve, India. Geographies 2(4): 701-723. https://doi.org/10.3390geographies2040043
Saaty R.W. 1987. The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3-5): 161-176. https://doi.org/10.1016/0270-0255(87)90473-8
Sadok W., Angevin F., Bergez J.E., Bockstaller C., Colombo B., Guichard L., Reau R., Dore T. 2008. Ex ante assessment of the sustainability of alternative cropping systems: implications for using multi-criteria decision-aid methods. A review. Agronomy for Sustainable Development 28(1): 163-174. https://doi.org/10.1051/agro:2007043
Sahu N., Das P., Saini A., Varun A., Mallick S.K., Nayan R., Aggrawal S.P., Pani B., Kesharwani R., Kumar A. 2023. Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning techniques: A case of Darjeeling Himalaya, India. Sustainability 15(13): 10101. https://doi.org/10.3390/su151310101
Sarthak G. 2024. Facing losses, tea producers use idle land for alternate crops. The Times of India. https://timesofindia.indiatimes.com/city/kolkata/ tea-producers-opt-for-alternative-crops-amid-loss es/articleshow/110410135.cms?
Sathiyamurthi S., Saravanan S., Karuppannan S., Balakumbahan R., Sivasakthi M., Kumar S.P., Ramya M., Hussain S., Tariq A. 2024. Agricultural land suitability of Manimutha Nadhi watershed using AHP and GIS techniques. Discover Sustainability 5(270). https://link.springer.com/article/10.1007/s43621-024-00471-4?fromPaywallRec=true
Sharma C.K., Barua P. 2017. Small Tea Plantation and Its Impact on the Rural Landscape of Contemporary Assam. International Journal of Rural Management 13(2): 140-161. https://doi.org/10.1177/0973005217725454
Stofkova J., Krejnus M., Stofkova K.R., Malega P., Binasova V. 2022. Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development. Sustainability 14(18): 11546. https://doi.org/10.3390/su141811546
Tea Brews Success for Youths. 2008. The Telegraph Online, March 13. https://www.telegraphindia.com/
Tong Q., Qiu F. 2020. Population growth and land development: Investing the bi-directional interactioons. Ecological Economics 169: 106505. https://doi.org/10.1016/j.ecolecon.2019.106505
Viana C.M., Freire D., Abrantes P., Rocha J., Pereira P. 2022. Agricultural land systems importance for supporting food security and sustainable development goals: A systematic review. Science of the Total Environment 806. https://doi.org/10.1016/j.scitotenv.2021.150718
Wang W., Han J., Pu Y., Wang X. 2022. Tea (Camellia sinensis): A Review of Nutritional Composition, Potential Applications, and Omics Research. Applied Sciences 12(12): 5874. https://doi.org/10.3390/app12125874
Wang H., Muller J.D., Tatarinov F., Yakir D., Rotenberg E. 2022. Disentangling Soil, Shade, and Tree Canopy Contributions to Mixed Satellite Vegetation Indices in a Sparse Dry Forest. Remote Sensing 14(15): 3681. https://doi.org/10.3390/rs14153681
Yan P., Shen C., Fan L., Li X., Zhang L., Zhang L., Han W. 2018. Tea planting affects soil acidification and nitrogen and phosphorous distribution in soil. Agriculture, Ecosystems and Environment, 254: 20-25. https://doi.org/10.1016/j.agee.2017.11.015
Yan P., Wu L., Wang D., Fu J., Shen C., Li X., Zhang L., Zhang L., Fan L., Wenyan H. 2020. Soil acidification in Chinese tea plantations. Science of the Total Environment 715: 136963. https://doi.org/10.1016/j.scitotenv.2020.136963
Yu J., Chen Y., Wu J. 2011. Modelling and implementation of classification rule discovery by ant colony optimisation for spatial land-use suitability assessment. Computers, Environment and Urban Systems 35(4): 308-319. https://doi.org/10.1016/j.compenvurb-sys.2010.12.003
