Determining of Affect Levels on Agriculture and Livestock of Factors Such as Landforms, Soil Types and CORINE Land use/cover According to Analytic Herarchy Process(AHP) in Basin of Kesis Stream(Southern of Türkiye)

Öz

Abstract Human-being has always continued its efforts to recognize and benefit from the natural environment in which it has lived since its existence, and it continues this struggle today. However, over time, human beings have begun to realize that the natural processes they encounter in the natural environment have more than one cause. Today, researchers have developed various methods to determine the degree of impact of events that occur due to more than one reason. One of these methods is the Analytical Hierarchy process(AHP). In this study; Landforms, soil types and the effect levels of CORINE land use/cover on agriculture and livestock were investigated according to the AHP in the Kesis Stream Basin. In the research; Methods such as Geographical Information Systems (GİS), AHP, Digitization formula, remote sensing (RS) were used. Based on these methods, the study was embodied with various figures, tables and graphics suitable for the purpose of the study. According to this study, in the Kesis Stream Basin; 25.992% of landforms, 41.260% of soil types, and 32.748% of CORINE land use/cover on livestock activities were determined. Similarly, in the basin; Landforms had effects on agricultural activities with 19,580%, soil types 31,081%, CORINE land use/cover 49,339%. Here; While land use/cover on agricultural activities and soil types on livestock are in the first place, landforms have the least effect on both. In the basin, which has a rugged and karstic structure; As seen in figure 3/A, while agricultural areas such as range of deposits, polje, and uvala correspond to the 'very important' classification, the importance of slope surfaces and other areas gradually decreased. In Figure 3/B, while agricultural fields and slope surfaces have a 'very important' and 'significant' effect on livestock activities, the importance of peak and high flats and rocky steep surfaces is the least. It can be said that the findings obtained as a result overlap with the current realities of the basin and are successful.

Anahtar Kelimeler

• Detemining
• Affect Levels
• Agriculture-Livestock
• AHP
• Basin of Kesis Stream

Kaynakça

1. Akbulak, C. (2016). Ardahan İli’nde Kırsal Turizm Potansiyelinin Sayısallaştırılmış SWOT Analizi ile Değerlendirilmesi. Humanitas, 4(7): 1-30, DOI: http://dx.doi.org/10.20304/husbd.86882.
2. Cengiz, T., & Çelem., H., (2003). Kırsal Kalkınmada Analitik Hiyerarşi Süreci (AHS) Yönteminin Kullanımı. Kafkas Üniversitesi Artvin Orman Fakültesi Derisi, 1-2 (144-153).
3. Fu, Chunning.(2022). Risk Assessment of Distributed Energy System Based on Fuzzy Analytic Hierarchy Process. Journal of Computer and Communications, 10, page 56-71, https://www.scirp.org/journal/jcc.
4. Görener, A. (2012). Comparing AHP and ANP: An Application of Strategic Decisions Making in a Manufacturing Company. International Journal of Business and Social Science Vol. 3 No. 11, pages 194-208.
5. Ishizaka, A., & Labib, A., (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, Volume 38, Issue 11, Pages 14336-14345, https://doi.org/10.1016/j.eswa.2011.04.143.
6. Karaosmanoglu, F., & Gunek, H., (2021). A new Geographical Hydrological Modeling in the Calculation of Infiltration and Runoff: A case Goksu basin. Technium: Romanian Journal of Applied Sciences and Technology, 3(5), 82–100. https://techniumscience.com/index.php/technium/article/view/3910
7. Karaosmanoglu, F., Sındır, R., & Dogan, T., (2022). Affects Determination of the Natural Factors such as Climate, Soil, Vegetation and Geomorfology on Land use/cover by Helping Georaphy İnformation System(Gis) in the Kesis Stream Basin (South of Turkiye). International Journal of Applied Science and Research, IJASR 2022, Volume 5, Issue 6 November – December,101-112, DOI: https://doi.org/10.56293/IJASR.2022.5459
8. Karaosmanoglu, F.(2023). Determining the temporal and spatial variation of the land cover according to CORINE(1990-2018) in the basin of Kesis Stream (Southern Türkiye). International Journal of Agriculture, Environment and Food Sciences. 7(2): 305-315. DOI: https://doi.org/10.31015/jaefs.2023.2.8.

9. Küçükönder, H., Efe, E., & Üçkardeş, F., (2013). Çok Ölçütlü Karar Verme Yaklaşımlarından Analitik Hiyerarşi Süreci’nin Hayvancılıkta Kullanımı. Iğdır Üni. Fen Bilimleri Enst. Der, Vol 3(3): 91-98.
10. Quezada, L.E., Palominos, P., Gonzalez, M.A., (2013). Application of AHP in the Design of a Strategy Map. iBusiness, 5, page 133-137. http://dx.doi.org/10.4236/ib.2013.53B028
11. Roy, S., Hazra, S., Chanda, A., & Das, Sourav., (2020). Land suitability analysis using AHP-based multi-criteria decision model for sustainable agriculture in red and lateritic zones of West Bengal, India. Journal of Earth System Sciences, 131, 201.https://doi.org/10.1007/s12040-022-01941-x
12. Saaty, T.L. (1980) The Analytic Hierarchy Process. McGraw-Hill, New York.
13. Saaty, T.L., (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, Vol 1, No 1,pp 83-98, https://doi.org/10.1504/IJSSci.2008.01759.
14. Saha, S., Gayen, A., Pourgasemi, H.R., & Tiefenbacher, J.P., (2019). Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India. Environmental Earth Sciences 78, 649, https://doi.org/10.1007/s12665-019-8658-5
15. Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A.A., & McDowell, R.W., (2019). Development of a model using matter element, AHP and GIS techniques to assess the suitability of land for agriculture. Goederma, Volume 352, Pages 80-95. https://doi.org/10.1016/j.geoderma.2019.05.046
16. Tosovic-Stevanovic, A., Ristanovic, V., Calovic, D., Lalic, G., Zuza, M., & Cvijanovic, G., (2020). Small Farm Business Analysis Using the AHP Model for Efficient Assessment of Distribution Channels. Sustainability, 12(24), 10479; https://doi.org/10.3390/su122410479
17. Vaidya, O.S., & Kumar, S., (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research 169, pp1–29.
18. Zhang, W.(2021). Research on Risk Management of Cross-Sea Bridges Based on Analytic Hierarchy Process—Taking Hangzhou Bay Bridge as an Example. World Journal of Engineering and Technology, 9, page 624-636; DOI: 10.4236/wjet.2021.93044
19. CORİNE Land use/cover (2022) https://land.copernicus.eu/pan-european/corine-land-cover.
20. Digital Elevation Model (2022). https://asf.alaska.edu/data-sets/sar-data-sets/alos-palsar/.
21. Türkiye statistical Data (2021). https://www.tuik.gov.tr/
22. T.C Başbakanlık Köy Hizmetleri Genel Müdürlüğü Yayınları, Adana ili Arazi Varlığı(1996), Kahramanmaraş İli Arazi Varlığı(1997).