Machine learning for sustainable land management: A focus on Italy Matteo Dalle Vaglie University of Florence, Italy Federico Martellozzo University of Florence, Italy This is a section of Tenth InternationaSymposium Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques(DOI: 10.36253/979-12-215-0556-6) by Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci Firenze University Press Florence 2024 https://doi.org/10.36253/979-12-215-0556-6.61

Available for academic research purposes

Open Access

Copyright Author(s)

Content licence CC BY-NC-SA 4.0

Metadata licence CC0 1.0

This is original content, published for academic research purposes

 Digital edition XML powered by Booksflow

Soil salinization poses a multifaceted challenge demanding a comprehensive approach combining environmental science, machine learning, geography, and socio- economic analysis. Our study integrates these disciplines to unravel the complexities of soil salinization and devise effective mitigation strategies. We ground our investigation in understanding the geological and climatic fundamentals governing soil properties and processes, with a focus on the Mediterranean coastal areas. By harnessing the power of machine learning, we navigate the high-dimensionality and non-linearity of soil salinization, incorporating a comprehensive set of variables spanning geological, climatic, human activity, and socio-economic dimensions. Our models, trained on extensive datasets, are robust and capable of capturing intricate patterns associated with soil salinization. The Mediterranean coastal areas, with their unique ecological, climatic, and anthropogenic interactions, serve as a valuable case study for exploring the dynamics of soil salinization. Our approach integrates data on historical geological changes with current climatic and anthropogenic variables, creating a comprehensive model that encapsulates the temporal and spatial dimensions of soil salinization. This study aims to contribute meaningfully to global efforts in sustainable land management and environmental preservation.

 salinization land monitoring remote sensing soil management

It is available online at https://doi.org/10.36253/979-12-215-0556-6.61

References Ataie-Ashtiani, B., Werner, A. D., Simmons, C. T., Morgan, L. K., & Lu, C. (2013). How important is the impact of land-surface inundation on seawater intrusion caused by sea-level rise? Hydrogeology Journal, 21(7), 1673–1677. 10.1007/s10040-013-1021-0 Aung Naing Oo, Patcharee Saenjan, & Chuleemas Boontahi Iwai. (2013). Food Security and Socio-economic Impacts of Soil Salinization in Northeast Thailand. IJERD – International Journal of Environmental and Rural Development. 10.32115/ijerd.4.2_76 Blum, W. E. H. (2005). Functions of Soil for Society and the Environment. Reviews in Environmental Science and Bio/Technology, 4(3), 75–79. 10.1007/s11157-005-2236-x Corwin, D. L. (2021). Climate change impacts on soil salinity in agricultural areas. European Journal of Soil Science, 72(2), 842–862. 10.1111/ejss.13010 de Ruig, L. T., Barnard, P. L., Botzen, W. J. W., Grifman, P., Hart, J. F., de Moel, H., Sadrpour, N., & Aerts, J. C. J. H. (2019). An economic evaluation of adaptation pathways in coastal mega cities: An illustration for Los Angeles. Science of The Total Environment, 678, 647–659. 10.1016/j.scitotenv.2019.04.308 Doula, M. K., & Sarris, A. (2016). Soil Environment. In Environment and Development (pp. 213–286). Elsevier. 10.1016/B978-0-444-62733-9.00004-6 Erkin, N., Zhu, L., Gu, H., & Tusiyiti, A. (2019). Method for predicting soil salinity concentrations in croplands based on machine learning and remote sensing techniques. Journal of Applied Remote Sensing, 13(03), 1. 10.1117/1.JRS.13.034520 Eswar, D., Karuppusamy, R., & Chellamuthu, S. (2021a). Drivers of soil salinity and their correlation with climate change. Current Opinion in Environmental Sustainability, 50, 310–318. 10.1016/j.cosust.2020.10.015 Haj-Amor, Z., Araya, T., Kim, D.-G., Bouri, S., Lee, J., Ghiloufi, W., Yang, Y., Kang, H., Jhariya, M. K., Banerjee, A., & Lal, R. (2022). Soil salinity and its associated effects on soil microorganisms, greenhouse gas emissions, crop yield, biodiversity and desertification: A review. Science of The Total Environment, 843, 156946. 10.1016/j.scitotenv.2022.156946 Hassani, A., Azapagic, A., & Shokri, N. (2020). Predicting long-term dynamics of soil salinity and sodicity on a global scale. PNAS. 10.1073/pnas.2013771117/-/DCSupplemental Katarzyna Negacz, Žiga Malek, Arjen de Vos, & Pier Vellinga. (2022a). Saline soils worldwide: Identifying the most promising areas for saline agriculture. Journal of Arid Environments, 203(August 2022). 10.1016/j.jaridenv.2022.104775 Khamidov, M., Ishchanov, J., Hamidov, A., Donmez, C., & Djumaboev, K. (2022). Assessment of Soil Salinity Changes under the Climate Change in the Khorezm Region, Uzbekistan. International Journal of Environmental Research and Public Health, 19(14), 8794. 10.3390/ijerph19148794 Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand, M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., & Thieme, M. (2019). Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution. Scientific Data, 6(1), 283. 10.1038/s41597-019-0300-6 Metternicht, G. (2017). Soils: Salinization. In International Encyclopedia of Geography (pp. 1–10). Wiley. 10.1002/9781118786352.wbieg1044 Parihar, P., Singh, S., Singh, R., Singh, V. P., & Prasad, S. M. (2015). Effect of salinity stress on plants and its tolerance strategies: a review. Environmental Science and Pollution Research, 22(6), 4056–4075. 10.1007/s11356-014-3739-1 Perri, S., Suweis, S., Holmes, A., Marpu, P. R., Entekhabi, D., & Molini, A. (2020). River basin salinization as a form of aridity. Proceedings of the National Academy of Sciences, 117(30), 17635–17642. 10.1073/pnas.2005925117 Reed, C., Anderson, W., Kruczkiewicz, A., Nakamura, J., Gallo, D., Seager, R., & McDermid, S. S. (2022). The impact of flooding on food security across Africa. Proceedings of the National Academy of Sciences, 119(43). 10.1073/pnas.2119399119 Sparks, D. L. (2003). The Chemistry of Saline and Sodic Soils. In Environmental Soil Chemistry (pp. 285–300). Elsevier 10.1016/B978-012656446-4/50010-4 Szabolcs, I. (1989). Salt-affected soils. CRC Press. Tran, D. A., Tsujimura, M., Ha, N. T., Nguyen, V. T., Binh, D. Van, Dang, T. D., Doan, Q.-V., Bui, D. T., Anh Ngoc, T., Phu, L. V., Thuc, P. T. B., & Pham, T. D. (2021a). Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam. Ecological Indicators, 127, 107790. 10.1016/j.ecolind.2021.107790 Vousdoukas, M. I., Voukouvalas, E., Mentaschi, L., Dottori, F., Giardino, A., Bouziotas, D., Bianchi, A., Salamon, P., & Feyen, L. (2016). Developments in large-scale coastal flood hazard mapping. Natural Hazards and Earth System Sciences, 16(8), 1841–1853. 10.5194/nhess-16-1841-2016 Wang, J., Ding, J., Yu, D., Teng, D., He, B., Chen, X., Ge, X., Zhang, Z., Wang, Y., Yang, X., Shi, T., & Su, F. (2020a). Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI. Science of The Total Environment, 707, 136092. 10.1016/j.scitotenv.2019.136092 Welle, P. D., & Mauter, M. S. (2017). High-resolution model for estimating the economic and policy implications of agricultural soil salinization in California. Environmental Research Letters, 12(9), 094010. 10.1088/1748-9326/aa848e Wong, V. N. L., Greene, R. S. B., Dalal, R. C., & Murphy, B. W. (2010). Soil carbon dynamics in saline and sodic soils: a review. Soil Use and Management, 26(1), 2–11. 10.1111/j.1475-2743.2009.00251