Impacts of Soil Temperature on Apricot Productivity in Malatya, Turkey: A Longitudinal Analysis Using Inverse Distance Weighting

Yıl 2024, Cilt: 8 Sayı: 1, 36 - 53, 01.06.2024

Melike Altıngöller Melisa Karakurt M. Taner Şengün Enes Karadeniz Fatih Sunbul

Öz

This longitudinal study analyzes the impact of soil temperature on apricot productivity in Malatya, Turkey, from 2004 to 2022. Utilizing Inverse Distance Weighting (IDW) to correlate detailed soil temperature maps with apricot yield and production data, we identify significant temperature-dependent variations in apricot yields. Our findings reveal that optimal soil temperature management is crucial for maximizing apricot productivity, as deviations from ideal soil temperatures correlate strongly with yield fluctuations. Specifically, periods of increased soil temperatures generally correspond with higher productivity, highlighting the delicate balance required for optimal apricot cultivation. This research underscores the importance of integrating climate considerations into agricultural planning and offers valuable insights for developing adaptive strategies to enhance apricot production in the face of global climate variability. By mapping the spatial and temporal dynamics of soil temperature and its impact on apricot yield, this study contributes to the broader discourse on sustainable agricultural practices and the economic resilience of the apricot sector in Malatya.

Anahtar Kelimeler

Soil temperature, apricot productivity, Inverse distance weighting, geospatial analysis, Malatya-Turkey

Kaynakça

• Ağaldağ, S. (1988). En eski çağlardan bizans dönemine kadar Malatya tarihi. Doktora Tezi, Selçuk Üniversitesi, Sosyal Bilimler Enstitüsü, Konya, s. 30.
• Ajansı, F. K. (2020). Yıllık Faaliyet Raporu. Fırat Kalkınma Ajansı. https://fka.gov.tr/sharepoint/userfiles/Icerik_Dosya_Ekleri/FAALIYET_RAPORLARI/FKA%202020%20Y%C4%B1ll%C4%B1k%20Faaliyet%20Raporu.pdf
• Al-Kaisi, M., & Yin, X. (2003). Effects of nitrogen rate, irrigation rate, and plant population on corn yield and water use efficiency. Agronomy Journal, 95 (6), 1475-1482. https://doi.org/10.2134/agronj2003.1475
• Anderson, J. E., & McNaughton, S. J. (1973). Effects of low soil temperature on transpiration, photosynthesis, leaf relative water content, and growth among elevationally diverse plant populations. Ecology, 54 (6), 1220-1233.
• Anderson, J. E., Kriedemann, P. E., & Herbert, S. J. (2012). Phenological development and growth of the wheat (Triticum aestivum L.) shoot apex: A review. Australian Journal of Agricultural Research, 43 (8), 1677-1692. https://doi.org/10.1071/AR9921677
• Atalay, İ., Mortan, K. (2003). Türkiye Bölgesel Coğrafyası. İstanbul: İnkılap Kitabevi.
• Awais, M., Li, W., Hussain, S., Cheema, M. J. M., Li, W., Song, R., & Liu, C. (2022). Comparative evaluation of land surface temperature images from unmanned aerial vehicle and satellite observation for agricultural areas using in situ data. Agriculture, 12 (2), 184.
• Balcioğlu, Y. E., Coşkun, K. A. Y. A., & Demircan, M. (2022). İklim değişikliğinin Malatya ilinde kayısı rekoltesi ve coğrafi dağılışına etkileri. Journal of Environmental and Natural Studies, 4 (2), 119-146.
• Bartier, P. M. & Keller, C. P. 1996. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Computers & Geosciences, 22 (7), 795-799.
• Bergjord Olsen, A. K., Persson, T., De Wit, A., Nkurunziza, L., Sindhøj, E., & Eckersten, H. (2018). Estimating winter survival of winter wheat by simulations of plant frost tolerance. Journal of Agronomy and Crop Science, 204 (1), 62-73.
• Bristow, K. L. (1988). The role of mulch and its architecture in modifying soil temperature. Australian Journal of Soil Research, 26 (2), 269-280. https://doi.org/10.1071/SR9880269
• Duan, S. B., Li, Z. L., Cheng, J., & Leng, P. (2017). Cross-satellite comparison of operational land surface temperature products derived from MODIS and ASTER data over bare soil surfaces. ISPRS Journal of Photogrammetry and Remote Sensing, 126, 1-10.
• Güler, M., & Kara, T. (2007). Alansal dağilim özelliği gösteren iklim parametrelerinin coğrafi bilgi sistemleri ile belirlenmesi ve kullanim alanlari; genel bir bakiş. Anadolu Tarım Bilimleri Dergisi, 22 (3), 322-328.
• Hatun, Ü. (2010). Malatya Havzası ve çevresinde iklim özelliklerinin meyveciliğe etkisi. Yüksek Lisans Tezi, Fırat Üniversitesi, Sosyal Bilimler Enstitüsü, Elazığ.
• Huang, F., Liu, D., Tan, X., Wang, J., Chen, Y. & He, B. (2011). Explorations of the implementation of a parallel IDW interpolation algorithm in a Linux cluster-based parallel GIS. Computers & Geosciences, 37 (4), 426-434.
• Hulley, G. C., Ghent, D., Göttsche, F. M., Guillevic, P. C., Mildrexler, D. J., & Coll, C. (2019). Land Surface Temperature. In: Taking the Temperature of the Earth, Elsevier, pp. 57-127.
• Jiang, J., & Tian, G. (2010). Analysis of the impact of land use/land cover change on land surface temperature with remote sensing. Procedia Environmental Sciences, 2, 571-575.
• Jones, N. L., Davis, R. J., Sabbah, W. (2003). A comparison of three-dimensional interpolation techniques for plume characterization. Groundwater, 41, 411-419. http://dx.doi.org/10.1111/j.1745-6584.2003.tb02375.x
• Kang, H. M., Saltveit, M. E., & Sinclair, T. R. (2000). The effect of soil temperature on the rate of leaf appearance and elongation rate of field-grown crops of maize and sunflower. Annals of Botany, 85 (4), 469-475. https://doi.org/10.1006/anbo.1999.1073
• Karataş, İ. A. (2016). Şehir pazarlamasına göre malatya’nın ziyaretçiler tarafından değerlendirilmesi. İnönü Üniversitesi Uluslararası Sosyal Bilimler Dergisi, 5 (2), 187-205.
• Kaspar, T. C., & Bland, W. L. (1992). Soil temperature and root growth. Soil Science, 154 (4), 290-299. https://doi.org/10.1097/00010694-199210000-00005
• Kreyling, J., Schmid, S., & Aas, G. (2015). Cold tolerance of tree species is related to the climate of their native ranges. Journal of Biogeography, 42 (1), 156-166.
• Küden, A. B., Küden, A., Paydaş, S., Kaşka, N., & İmrak, B. (1998). Bazı ılıman iklim meyve tür ve çeşitlerinin soğuğa dayanıklılığı üzerinde çalışmalar. Turkish Journal of Agriculture and Forestry, 22, 101-109.
• Loyd, C. D. (2007). Local Modelsfor Spatial Analysis. CRC Press, pp. 21-22.
• MGM. (2023). Meteoroloji Genel Müdürlüğü. MGM. https://www.mgm.gov.tr/
• Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G., & Nemani, R. R. (1997). Increased plant growth in the northern high latitudes from 1981 to 1991. Nature, 386 (6626), 698-702.
• Öztürk, D., & Karakaş, G. (2017). Kayisi üretimi ve pazarlama sorunlari; Malatya ili örneği. Uluslararası Afro-Avrasya Araştırmaları Dergisi, 2 (4), 113-125.
• Özüpekçe, S. (2021). Malatya’da tarımsal arazi kullanımı ve kayısının önemi. Al Farabi Uluslararası Sosyal Bilimler Dergisi, 6 (1), 62-77.
• Peng, S. S., Piao, S., Zeng, Z., Ciais, P., Zhou, L., Li, L. Z., ... & Zeng, H. (2014). Afforestation in China cools local land surface temperature. Proceedings of the National Academy of Sciences, 111 (8), 2915-2919.
• Prasad, P. V. V., Boote, K. J., Allen, L. H., & Thomas, J. M. G. (2008). Effects of elevated temperature and carbon dioxide on seed-set and yield of kidney bean (Phaseolus vulgaris L.). Global Change Biology, 14 (10), 2334-2347. https://doi.org/10.1111/j.1365-2486.2008.01645.x
• Qian, P., Schoenau, J. J., & Huang, W. Z. (1997). Use of penetrometer resistance and other soil properties to predict the effect of tillage on seedling root growth. Canadian Journal of Soil Science, 77 (4), 617-622. https://doi.org/10.4141/S97-020
• Rajeshwari, A., & Mani, N. D. (2014). Estimation of land surface temperature of Dindigul district using Landsat 8 data. International Journal of Research in Engineering and Technology, 3 (5), 122-126.
• Saribaş, E. B. (2012). Türkiye kayısı sektörünün ekonomik analizi: Malatya ili üzerine bir araştırma. İstanbul Üniversitesi Sosyal Bilimler Enstitüsü. Doktora Tez, İstanbul.
• Sarvas, R. (1974). Investigations on the annual cycle of development of forest trees. Active period. Communicationes Instituti Forestalis Fenniae, 84 (3), 1-110.
• Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. In Proceedings of the 1968 23rd ACM National Conference, pp. 517-524.
• Solanky, V., Singh, S., & Katiyar, S. K. (2018). Land surface temperature estimation using remote sensing data. In Hydrologic Modeling: Select Proceedings of ICWEES-2016 (pp. 343-351). Springer Singapore.
• Sunkar, M., Hatun, Ü., & Toprak, A. (2013). Malatya havzası ve çevresinde iklim özelliklerinin meyveciliğe etkisi. In 3rd International Geography Symposium, pp. 566-574.
• Tan, J., Yu, D., Li, Q., Tan, X., & Zhou, W. (2020). Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area. China. Scientific Reports, 10 (1), 9245.
• TUIK. (2022). Turkish Statistical Institute. https://www.tuik.gov.tr/
• Ünal, M. R. (2010). Kayısı Araştırma Raporu. Fırat Kalkınma Ajansı, Malatya.
• Wheeler, T. R., Craufurd, P. Q., Ellis, R. H., Porter, J. R., & Vara Prasad, P. V. (2000). Temperature variability and the yield of annual crops. Agriculture, Ecosystems & Environment, 82 (1-3), 159-167. https://doi.org/10.1016/S0167-8809(00)00224-3
• Xiao, H., & Weng, Q. (2007). The impact of land use and land cover changes on land surface temperature in a karst area of China. Journal of Environmental Management, 85 (1), 245-257.
• Yang, X. M., Reynolds, W. D., Drury, C. F., & Reeb, M. D. (2021). Cover crop effects on soil temperature in a clay loam soil in southwestern Ontario. Canadian Journal of Soil Science, 101 (4), 761-770.
• Yenipinar, E. Kayhan, M. M., Çubukçu, E. A., Demir, V., & Sevimli, M. F. (2021). Türkiye’nin uzun dönem yağış miktarının IDW ve Kriging yöntemleri ile tahmin edilmesi. Türkiye Uzaktan Algılama Dergisi, 3 (2), 47-52.
• Zhang, X., Chen, J., Tan, M., & Sun, Y. (2007). Assessing the impact of urban sprawl on soil resources of Nanjing city using satellite images and digital soil databases. Catena, 69 (1), 16-30.
• Zhang, X., Liu, X., Zhang, M., Dahlgren, R. A., & Eitzel, M. (2015). Soil moisture modulates the response of soil respiration to temperature in a desert ecosystem. Biogeosciences, 12 (1), 2081-2093. https://doi.org/10.5194/bg-12-2081-2015