Journal of Geographical Studies of Mountainous Areas

Journal of Geographical Studies of Mountainous Areas

Evaluation of rapeseed cultivation based on environmental criteria in mountainous areas (Case study, Izeh county )

Document Type : Original Article

Authors
1 Assistant Professor, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran
2 Associate prof, Department of Geography, Faculty of Literature and Humanities, University of Birjand, Bairjand, Iran
Abstract
Introduction

The agricultural sector has an essential role in the economic and political life of societies. Considering the limited available resources and the increasing demand, it is necessary to carry out accurate and comprehensive planning in the geographical fields in order to develop activities and use resources. The geographic information system is also one of the methods based on location analysis, with the help of which it is possible to know the environmental capabilities and capabilities of each region in order to zone the areas prone to agricultural activities and take steps towards the development of this sector. becomes Cultivation of rapeseed, as one of the products with high diversity, has special environmental conditions. According to its geographical location, Izeh county seems to have a suitable capacity to cultivate this product. The current research has tried to determine the zoning of areas prone to rapeseed cultivation based on environmental criteria, with spatial decision making method (AHP) and weighting model (IO) in GIS environment.

Methodology

The present research is descriptive-analytical and in-depth in terms of its applied and developmental purpose and in terms of its nature and method. In order to zone the Izeh region in terms of areas prone to rapeseed cultivation, the desired layers were digitized using AHP method. Then, based on the existing conditions in terms of the investigated factors, the criteria were prioritized and according to the AHP model, the criteria and options were evaluated, based on which the data was overlapped and analyzed in the Weighted Sum Overlay option. , was discussed in ARC GIS environment and Expert Choice software. The layers used in this analysis are the geological layer, soil, erosion, elevation model, slope, vegetation and type of use. Also, in the weighting model (IO), different weights are given to different complications and different existing classes, and flexible combinations are obtained from the maps, which include a range of numbers. In this way, after applying different weights on the inner classes of each layer, then all the layers are overlapped. This overlap can be done through different functions in the GIS environment.
 

Results

The results show that according to the AHP model, of the total area of 29018.55 hectares, i.e. 7.7%, it has a very suitable condition in terms of the seven criteria under investigation. As an example, this area has a low slope, suitable height, erosion below 5%, land use with suitable cultivation, deep soil with suitable texture, etc. In the IO method, the first zone covers 23604.40 hectares (6.3 percent) of the region. The difference of this area in two maps is one percent. The second zone in the first method, with an area of 404,061.19 hectares, is ranked second in priority. The conditions mentioned in the first zone are also present in this zone, which of course becomes a little weaker. However, it is favorable for the cultivation of rapeseed. This zone is adjacent to the second zone. In the IO method, this area is 37456.36 hectares and these two areas are almost the same.
 The other three zones, which have moderate, unfavorable and very unfavorable conditions, cover 85152.42 hectares, 147601.00 hectares, and 71223.75 hectares of the area, respectively, in the AHP method. The environmental conditions investigated in these three areas are weaker than the first and second areas, respectively. These areas have soil with shallow depth and inappropriate and stony texture, inappropriate use, tree and mountain vegetation cover, high altitude and lack of access, high and inappropriate slope, lithological structure and poor structure for rapeseed cultivation.
 In the weighting method (IO), more than 37456.36 hectares of the region have a suitable condition based on this method. 110754.3 hectares of the area of Izeh county have average conditions for rapeseed cultivation, which this method is approximately 7% of the area. It includes more than the first method. Also, more than 145,308.17 hectares of the area are in poor condition and 26,405.56 hectares have very unsuitable conditions for rapeseed cultivation. Comparing the IO method with the AHP method shows that in both methods, the suitable area has certain conditions and in the unsuitable area, the IO method includes 4% more area. These areas usually have limited soil, medium to high slope, medium height, etc.
 

Discussion

According to the AHP method, 18.5% of the area has a suitable condition for rapeseed cultivation, such that it has a high potential in terms of the seven research criteria. This situation in the IO method is 16.3%. Also, 58.5% have unfavorable conditions and limited criteria for rapeseed cultivation in the study area based on the AHP method. This amount in the weighting method is 54%. In general, the two methods have many points in common in the assessment of rapeseed cultivation in the study area. Both methods have almost the same results in terms of area and geographic location of the zones. It is important to mention that in terms of the comparison of the zones, almost five zones in the two maps have overlapping status and are marked with a slight decrease and increase in area in common places. Based on the evaluation of rapeseed cultivation, it seems that both methods (AHP) and algorithm (IO) have the same results and both methods can be used. The results of this research on the efficiency and effectiveness of the used models including AHP and OI and their combination with GIS, with the results of Tadsi et al.(2020), Mandal et al.(2020), Singh et al.(2020), Moradi et al. (2019) and Sobhani and Nasiri (2021) are consistent.
 

Conclusion

The conclusion of the research shows that the region has a favorable capacity for rapeseed cultivation. This capacity was well-confirmed based on environmental criteria. In addition, the two models used in the research have the necessary efficiency to evaluate and measure the environmental potential for cultivation and agriculture.
Keywords

Abdo, H. G., Vishwakarma, D. K., Alsafadi, K., Bindajam, A. A., Mallick, J., Mallick, S. K., ... & Hysa, A. (2024). GIS-based multi-criteria decision making for delineation of potential groundwater recharge zones for sustainable resource management in the Eastern Mediterranean: A case study. Applied Water Science, 14(7),1-24. https://doi.org/10.3390/su16156590
Afshari, H. (2008). Important diseases of rapeseed. Tehran, Agricultural Education Publication. (In Persian).
Alijani, B., Dostan, R. (2005). Determining potential areas for barberry cultivation in South Khorasan province in GIS, Journal of Geography and Regional Development, 8(1), 14-33. doi.org/10.22067/geography.v5i8.4215(In Persian).
Asgari, H., Moradi Dalini, A. (2006). Evaluation of yield, components and vegetative characteristics of rapeseed cultivars in different planting dates in Hajiabad region of Hormozgan. Seedling and Seed Journal, 3(1), 419-430. doi: 10.22092/spij.2017.110739(In Persian).
Budak, M., Kılıç, M., Günal, H., Çelik, İ., & Sırrı, M. (2024). Land suitability assessment for rapeseed potential cultivation in upper Tigris basin of Turkiye comparing fuzzy and boolean logic. Industrial Crops and Products, 208, 49-64.‏ doi.org/10.1016/j.indcrop.2023.117806
FalSulayman, M., Hajipour, M., Sadeghi, H. (2012). Comparison of the efficiency of multi-indicator decision making methods AHP and TOPSIS in order to determine the areas prone to pistachio crop cultivation in Mukhtaran plain of Birjand city in the geographic information system environment. Journal of Applied Research in Geographical Sciences, 13(31), 133-155. http://jgs.khu.ac.ir/article-fa.html(In Persian).
Farajzadeh, M., Teklo Begash, A. (2004). Agroclimatic zoning of Hamedan province using geographic information system with emphasis on wheat, Journal of Geographical Research, 41(2), 93-105. https://journals.ut.ac.ir/article_12819.html(In Persian).
Habibie, M. I., Noguchi, R., Shusuke, M., & Ahamed, T. (2021). Land suitability analysis for maize production in Indonesia using satellite remote sensing and GIS-based multicriteria decision support system. GeoJournal, 86, 777-807.‏ https://link.springer.com/article/10.1007/s10708-019-10091-5
Hejazi, A. (1999). Cultivation of rapeseed, planting, growing and harvesting. Tehran: Rozeneh Publishing House. (In Persian).
Hinz, R., Sulser, T. B., Hüfner, R., Mason‐D’Croz, D., Dunston, S., Nautiyal, S., ... & Schaldach, R. (2020). Agricultural development and land use change in India: A scenario analysis of trade‐offs between UN Sustainable Development Goals (SDGs). Earth's Future, 8(2), 1-18.  https://doi.org/10.1029/2019EF001287
Jat, M. L., Chakraborty, D., Ladha, J. K., Rana, D. S., Gathala, M. K., McDonald, A., & Gerard, B. (2020). Conservation agriculture for sustainable intensification in South Asia. Nature Sustainability, 3(4), 336-343. https://doi.org/10.1038/s41893-020-0500-2
Javan, F., & Ghanipour Tafreshi, M. (2016). Evaluation and optimal site selection of public parking using AHP model in Rasht city. Human Settlements Planning Studies, 11(35), 117–130. (In Persian).
Kaur, T., Devi, R., Kour, D., Yadav, A., Yadav, A. N., Dikilitas, M., ... & Saxena, A. K. (2021). Plant growth promoting soil microbiomes and their potential implications for agricultural and environmental sustainability. Biologia, 76(9), 2687-2709.‏ https://link.springer.com/article/10.1007/s11756-021-00806-w
Kazemi Pusht Masari, H., Tahmasabi, Z., Kamkar, B., Shatai Joybari, S., Sadeghi, S. (2013). Agro-ecological zoning of agricultural lands in Golestan province for rapeseed cultivation using geographic information system (GIS) and hierarchical analysis process, Journal of crop production, 5(1), 123-139. https://ejcp.gau.ac.ir/article_880.html(In Persian).
KC, K. B., Montocchio, D., Berg, A., Fraser, E. D., Daneshfar, B., & Champagne, C. (2020). How climatic and sociotechnical factors influence crop production: a case study of canola production. SN Applied Sciences, 2, 1-9.‏ DOI: 10.1007/s42452-020-03824-6
Khan, N., Ray, R. L., Sargani, G. R., Ihtisham, M., Khayyam, M., & Ismail, S. (2021). Current progress and future prospects of agriculture technology: Gateway to sustainable agriculture. Sustainability, 13(9), 1-16. https://doi.org/10.3390/su13094883
Kumar, A., Pramanik, M., Chaudhary, S., & Negi, M. S. (2021). Land evaluation for sustainable development of Himalayan agriculture using RS-GIS in conjunction with analytic hierarchy process and frequency ratio. Journal of the Saudi Society of Agricultural Sciences, 20(1), 1-17.‏ https://doi.org/10.1016/j.jssas.2020.10.001
Lashkari, H., Ki Khosravi, G. (2008), location of suitable places for pistachio cultivation in Sabzevar city by using geographic information system with Boolean models, attribution and pairwise comparison method, Journal of Geography and Planning, 27(2), 95-139. https://ensani.ir/fa/article/217659(In Persian).
Lawal, A., Tijani, M. N., D’Alessio, M., & Maigari, A. S. (2021). Application of geographical information system to geoelectrical data for evaluation of the vulnerability of aquifers in parts of Bauchi, Northeastern Nigeria. Environmental Earth Sciences, 80,1-18.‏ https://link.springer.com/article/10.1007/s12665-020-09308-5.
Liyanage, D. W., Bandara, M. S., & Konschuh, M. N. (2022). Main factors affecting nutrient and water use efficiencies in spring canola in North America: a review of literature and analysis. Canadian Journal of Plant Science, 102(4), 799-811.‏ https://doi.org/10.1139/cjps-2021-0210
Makowski, M (2002). Mlti object decision support including sensitivity analysis, Encylopedia of life support, OLSS publishers. https://www.eolss.net/Sample-Chapters/C09/E4-20-04-01.pdf
Mandal, V. P., Rehman, S., Ahmed, R., Masroor, M. D., Kumar, P., & Sajjad, H. (2020). Land suitability assessment for optimal cropping sequences in Katihar district of Bihar, India using GIS and AHP. Spatial Information Research, 28,589-599. ‏ https://link.springer.com/article/10.1007/s41324-020-00315-z.
Molina-Maturano, J., Speelman, S., & De Steur, H. (2020). Constraint-based innovations in agriculture and sustainable development: A scoping review. Journal of Cleaner Production, 246(10),1-18. https://doi.org/10.1016/j.jclepro.2019.119001.
Moradi, E., Mobser, H.R., Mehraban, A., Ganjali, H. (2019). Zoning of agricultural ecological capacity in the north and center of Sistan and Baluchistan province for rapeseed cultivation with GIS system, Journal of Agricultural Knowledge and Sustainable Production, 30(1), 279-295. https://sustainagriculture.tabrizu.ac.ir/article_10424.html(In Persian).
Panagos, P., Ballabio, C., Poesen, J., Lugato, E., Scarpa, S., Montanarella, L., & Borrelli, P. (2020). A soil erosion indicator for supporting agricultural, environmental and climate policies in the European Union. Remote Sensing, 12(9), 23-42.  https://doi.org/10.3390/rs12091365.
Raihan, A. (2024). A systematic review of geographic information systems (GIS) in agriculture for evidence-based decision making and sustainability. Global Sustainability Research, 3(1), 1-24.‏https://doi.org/10.56556/gssr.v3i1.
Riahi, V., Javan, F., & Hojat, S. (2017). The analysis of the local-spatial development of agriculture in the rural settlements (Case study: Gil Dulab Rural District of Rezvanshahr County). Journal of Geographical Engineering of Territory, 1(1), 1–20. (In Persian).
Ricardo, J. E., Rosado, Z. M. M., Pataron, E. K. C., & Vargas, V. Y. V. (2021). Measuring legal and socioeconomic effect of the declared debtors usign the ahp technique in a neutrosophic framework. Neutrosophic Sets andSystems, 44,357-366. ‏ https://digitalrepository.unm.edu/nss_journal/vol44/iss1/39/.
Riyahi, V., & Javan, F. (2018). Surveying and analyzing the role of geographical factors in the spatial distribution of rural areas in Zanjan County. Geography and Planning, 22(65), 183–203. (In Persian).
Roshan Ali, M., Sobhani, B. (2017). Assessing the land suitability of Mazandaran province for rapeseed cultivation based on multi-criteria decision-making evaluation methods in the GIS environment, Journal of Geography and Regional Urban Planning, 8(27), 129-148. doi: 10.22111/gaij.2018.4094(In Persian).
Ruknuddin Eftakhari, R., Portahari, M., Farajzadeh, M., Vakil Heydari, S. (2008). The role of empowerment in agricultural development, Human Geography Research Journal, 69(1), 87-103. https://journals.ut.ac.ir/article_24423.html(In Persian).
Saaty, R.W.(1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling,9(3),161-176. https://doi.org/10.1016/0270-0255(87)90473-8.
Sathiyamurthi, S., Saravanan, S., Karuppannan, S., Balakumbahan, R., Sivasakthi, M., Praveen Kumar, S., ... & Tariq, A. (2024). Agricultural land suitability of Manimutha Nadhi watershed using AHP and GIS techniques. Discover Sustainability, 5(1), 1-19. https://link.springer.com/article/10.1007/s43621-024-00471-4.
Scown, M. W., Brady, M. V., & Nicholas, K. A. (2020). Billions in misspent EU agricultural subsidies could support the sustainable development goals. One Earth, 3(2), 237-250.‏ https://doi.org/10.1016/j.oneear.2020.07.011.
Singha, C., Swain, K. C., & Swain, S. K. (2020). Best crop rotation selection with GIS-AHP technique using soil nutrient variability. Agriculture, 10(6), 213.‏ https://doi.org/10.3390/agriculture10060213.
Sobhani, B; Nasiri, F. (2022). Agro-ecological zoning of rapeseed cultivation in Ardabil plain. Applied Research Journal of Geographical Sciences, 22(65), 61-78. http://jgs.khu.ac.ir/article-1-3157-fa.html(In Persian).
Srdjevici, B. (2004). An Object Multi-Criteria Evaluation of Water Management Scenarios, Water Resources Management Journal, 18(2),35-54. https://link.springer.com/article/10.1023/B:WARM.0000015348.88832.52
Tadesse, M., & Negese, A. (2020). Land suitability evaluation for sorghum crop by using GIS and AHP techniques in Agamsa sub-watershed, Ethiopia. Cogent Food & Agriculture, 6(1),1743624. ‏ https://www.tandfonline.com/doi/full/10.1080/23311932.2020.1743624.
Tudi, M., Daniel Ruan, H., Wang, L., Lyu, J., Sadler, R., Connell, D., ... & Phung, D. T. (2021). Agriculture development, pesticide application and its impact on the environment. International journal of environmental research and public health, 18(3),31-49.  doi: 10.3390/ijerph18031112.
Yazdanpanah, H., Kamali, G.A., Hejazizadeh, Z., Ziyayan, P. (2007). Selection of suitable lands for almond cultivation in East Azerbaijan Province, Journal of Geography and Development, 4(8), 193-203. doi: 10.22111/gdij.2006.3792 (In Persian).