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Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: the effect of climate change

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  • Nektarios N. Kourgialas

    (Technical University of Crete, Polytechneioupolis
    Institute for Olive Tree, Subtropical Crops and Viticulture, Agrokipio)

  • Georgios C. Koubouris

    (Institute for Olive Tree, Subtropical Crops and Viticulture, Agrokipio)

  • George P. Karatzas

    (Technical University of Crete, Polytechneioupolis)

  • Ioannis Metzidakis

    (Institute for Olive Tree, Subtropical Crops and Viticulture, Agrokipio)

Abstract

In this work, a dynamic GIS modeling approach is presented that incorporates: a) geoinformatic techniques, b) 55-year historical meteorological data, and c) field measurements, in order to estimate soil erosion risk in intensively cultivated regions. The proposed GIS-based modeling approach includes the estimation of soil erosion rates due to surface water flow under current and future climate change scenarios A2 and B1 for the years 2030 and 2050. The soil erosion was estimated using the Universal Soil Loss Equation (USLE). The proposed soil erosion model was validated using field measurements at different sites of the study area. The results show that an extended part of the study area is under intense erosion with the mean annual loss to be 4.85 t/ha year−1. Moreover, an increase in rainfall intensity, especially for scenario B1, can generate a significant increase (32.44 %) in soil loss for the year 2030 and a much more (50.77 %) for the year 2050 in comparison with the current conditions. Regarding the scenario A2, a slight decrease (1.85 %) in soil loss was observed for the year 2030, while for 2050 the results show an adequate increase (7.31 %) in comparison with the present. All these approaches were implemented at one of the most productive agricultural areas of Crete in Greece dominated by olive and citrus crops.

Suggested Citation

  • Nektarios N. Kourgialas & Georgios C. Koubouris & George P. Karatzas & Ioannis Metzidakis, 2016. "Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: the effect of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 65-81, October.
    • Handle: RePEc:spr:nathaz:v:83:y:2016:i:1:d:10.1007_s11069-016-2354-5
    DOI: 10.1007/s11069-016-2354-5
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    References listed on IDEAS

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    1. M. Ramos & J. Martínez-Casasnovas, 2015. "Climate change influence on runoff and soil losses in a rainfed basin with Mediterranean climate," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 1065-1089, September.
    2. Yanfang Hu & Guohang Tian & Audrey Mayer & Ruizhen He, 2015. "Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 277-289, October.
    3. Tsagarakis, K. P. & Dialynas, G. E. & Angelakis, A. N., 2004. "Water resources management in Crete (Greece) including water recycling and reuse and proposed quality criteria," Agricultural Water Management, Elsevier, vol. 66(1), pages 35-47, April.
    4. Liguang Jiang & Zhijun Yao & Zhaofei Liu & Shanshan Wu & Rui Wang & Lei Wang, 2015. "Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1831-1847, April.
    5. Krishna Bhandari & Jagannath Aryal & Rotchanatch Darnsawasdi, 2015. "A geospatial approach to assessing soil erosion in a watershed by integrating socio-economic determinants and the RUSLE model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 321-342, January.
    6. Richarde Silva & Suzana Montenegro & Celso Santos, 2012. "Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 953-970, July.
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    Cited by:

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    2. Ioannis K. Tsanis & Konstantinos D. Seiradakis & Sofia Sarchani & Ioanna S. Panagea & Dimitrios D. Alexakis & Aristeidis G. Koutroulis, 2021. "The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment," Land, MDPI, vol. 10(9), pages 1-17, September.
    3. Sumedh R. Kashiwar & Manik Chandra Kundu & Usha R. Dongarwar, 2022. "Soil erosion estimation of Bhandara region of Maharashtra, India, by integrated use of RUSLE, remote sensing, and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 937-959, January.
    4. Maria Michalopoulou & Nikolaos Depountis & Konstantinos Nikolakopoulos & Vasileios Boumpoulis, 2022. "The Significance of Digital Elevation Models in the Calculation of LS Factor and Soil Erosion," Land, MDPI, vol. 11(9), pages 1-36, September.

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