Abstract
Persistent pressures that relate to nonstationary climate variations and land use/cover changes (LULCC) keep affecting water resources and their associated environmental services with increasing impact trends worldwide. Lake Marmara, located in Gediz River Basin in Western Turkey, is among the environmentally degraded water resources while officially announced as a priority wetland due to historical habitats and ecosystem functions. The region is remarkably under threat, especially after the construction of a reservoir on upstream reach that feeds the lake and the combined impacts of both climate and LULCC. These issues restrict local communities' access to fundamental ecosystem services for their survivability. The study investigates the effects of LULCC in the example of Lake Marmara in an environmental scope and provides water balance modelling that is utilized to help examine hydrologic conditions of the lake under climate change. The study evaluates future hydrologic conditions with RCP 8.5 climate change scenario, while combining future LULCC and water demand projections. These above mentioned various pressures are incorporated into modelling scenarios to evaluate the state of the lake for the year of 2050 under different circumstances. The study revealed that in every scenario analysed, the lake dries out and is incapable of maintaining the required water amount to sustain its wildlife and ecosystem. As a result, some new water allocation policies and strategies are essential for the survival of the Lake Marmara System.
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The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Abd Ellah RG (2020) Water resources in Egypt and their challenges, Lake Nasser case study Egypt. J Aquat Res 46(1):1–12. https://doi.org/10.1016/j.ejar.2020.03.001
Ansari A, Golabi MH (2019) Prediction of spatial land use changes based on LCM in a GIS environment for Desert Wetlands–a case study: Meighan Wetland. Iran Int Soil Water Conserv Res 7:64–70. https://doi.org/10.1016/j.iswcr.2018.10.001
Araya YH, Cabral P (2010) Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Portugal. Remote Sens 2:1549–1563. https://doi.org/10.3390/rs2061549
ASTER (2021) ASTER Global Digital Elevation Model (GDEM) V03. https://search.earthdata.nasa.gov/. Accessed Nov 2021
Bozorg-Haddad O, Dehghan P, Zolghadr-Asli B, Singh VP, Chu X, Loáiciga HA (2022) System dynamics modeling of lake water management under climate change. Sci Rep 12:5828. https://doi.org/10.1038/s41598-022-09212-x
Butcher JB, Johnson TE, Nover D, Sarkar S (2014) Incorporating the effects of increased atmospheric CO2 in watershed model projections of climate change impacts. J Hydrol 513:322–334. https://doi.org/10.1016/j.jhydrol.2014.03.073
CCAFS (2021) Global Climate Model (GCM) Downscaled Data Portal. http://www.ccafs-climate.org/. Accessed Nov 2021
Cetinkaya CP, Fistikoglu O, Harmancioglu NB, Fedra K (2008) Optimization methods applied for sustainable management of water-scarce basins. J Hydroinf 10(1):69–95. https://doi.org/10.2166/hydro.2007.011
Cetinkaya CP, Gunacti MC (2018) Multi-criteria analysis of water allocation scenarios in a water scarce basin. Water Resour Manage 32:2867–2884. https://doi.org/10.1007/s11269-018-1963-z
Chavez-Jimenez A, Granados A, Garrote L, Martin-Carrasco F (2015) Adapting water allocation to irrigation demands to constraints in water availability imposed by climate change. Water Resour Manage 29(5):1413–1430. https://doi.org/10.1007/s11269-014-0882-x
Clark Labs (2020) TerrSet 2020 Geospatial Monitoring and Modeling Software. Clark University
Gao Y, Chen J, Luo H, Wang H (2020) Prediction of hydrological responses to land use change. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2019.134998
García-Ruiz JM, López-Moreno IJ, Vicente-Serrano SM, Lasanta-Martínez T, Beguería S (2011) Mediterranean water resources in a global change scenario. Earth Sci Rev 105(3–4):121–139. https://doi.org/10.1016/j.earscirev.2011.01.006
Gorunescu F (2011) Classification performance evaluation. In: Kacprzyk J, Jain LC (eds) Data Mining. Springer-Verlag, Berlin, pp 319–330
Gray SB, Brady SM (2016) Plant developmental responses to climate change. Dev Biol 419(1):64–77. https://doi.org/10.1016/j.ydbio.2016.07.023
HEC-HMS (2001) Hydrologic Engineering Center, The Hydrologic Modeling System. US Army Corps of Engineers, Hydrologic Engineering Center
Hunink J, Simons G, Suárez-Almiñana S, Solera A, Andreu J, Giuliani M, Zamberletti P, Grillakis M, Koutroulis A, Tsanis I, Schasfoort F, Contreras S, Ercin E, Bastiaanssen W (2019) A simplified water accounting procedure to assess climate change impact on water resources for agriculture across different European River Basins. Water 11(10):1976. https://doi.org/10.3390/w11101976
Huntington TG (2006) Evidence for intensification of the global water cycle: Review and synthesis. J Hydrol 319:83–95
IPCC (2014) Core Writing Team, RK Pachauri, LA Meyer (Eds.), Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, Geneva, Switzerland, p 151
Kim I, Le QB, Park SJ, Tenhunen J, Koeller T (2014) Driving forces in archetypical land-use changes in a mountainous watershed in east Asia. Land 3:957–980. https://doi.org/10.3390/land3030957
Mehdi B, Ludwig R, Lehner B (2015) Evaluating the impacts of climate change and crop land use change on streamflow, nitrates and phosphorus: a modeling study in Bavaria. J Hydrol Region Stud 4:60–90. https://doi.org/10.1016/j.ejrh.2015.04.009
Moriasi D, Arnold J, Van Liew M, Bingner R, Harmel R, Veith T (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50(3):885–900. https://doi.org/10.13031/2013.23153
Moss R, Edmonds J, Hibbard K, Manning MR, Rose SK, Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T, Meehl GA, Mitchell JFB, Nakicenovic N, Riahi K, Smith SJ, Stouffer RJ, Thomson AM, Weyant JP, Wilbanks TJ (2010) The next generation of scenarios for climate change research and assessment. Nature 463:747–756. https://doi.org/10.1038/nature08823
Nguyen PT, Ha DH, Avand M, Jaafari A, Nguyen HD, Al-Ansari N, Van Phong T, Sharma R, Kumar R, Le HV, Ho LS, Prakash I, Pham BT (2020) Soft computing ensemble models based on logistic regression for groundwater potential mapping. Appl Sci 10(7):2469. https://doi.org/10.3390/app10072469
NRCS (Natural Resources Conservation Service, USDA) (2007) Urban hydrology for small watersheds. https://www.wcc.nrcs.usda.gov/ftpref/wntsc/H&H/other/TR55documentation.pdf. Accessed 22 Dec 2021
Nunes JP, Jacinto R, Keizer JJ (2017) Combined impacts of climate and socio-economic scenarios on irrigation water availability for a dry Mediterranean reservoir. Sci Total Environ 584–585(C):219–233. https://doi.org/10.1016/j.scitotenv.2017.01.131
OPTIMA (Optimisation for Sustainable Water Resources Management) (2005) Public Deliverable: D08.1 Gediz River: Problem Analysis. http://80.120.147.2/OPTIMA/deliverables.html. Accessed Nov 2021
Rocha J, Carvalho-Santos C, Diogo P, Beça P, Keizer JJ, Nunes JP (2020) Impacts of climate change on reservoir water availability, quality and irrigation needs in a water scarce Mediterranean Region (Southern Portugal). Sci Total Environ 736:139477. https://doi.org/10.1016/j.scitotenv.2020.139477
Saputra MH, Lee HS (2019) Prediction of land use and land cover changes for North Sumatra, Indonesia, using an artificial-neural-network-based cellular automaton. Sustainability 11(11):3024. https://doi.org/10.3390/su11113024
Sedighkia M, Abdoli A (2022) Optimizing environmental flow regime by integrating river and reservoir ecosystems. Water Resour Manage 36:2079–2094. https://doi.org/10.1007/s11269-022-03131-2
Soonthornrangsan JT, Lowry CS (2021) Vulnerability of water resources under a changing climate and human activity in the lower Great Lakes region. Hydrol Process 35(e14440). https://doi.org/10.1002/hyp.14440
Teshager AD, Gassman PW, Schoof JT, Secchi S (2016) Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production. Hydrol Earth Syst Sci 20:3325–3342. https://doi.org/10.5194/hess-20-3325-2016
Thapa P (2021) The relationship between land use and climate change: a case study of Nepal. In: The Nature, Causes, Effects and Mitigation of Climate Change on the Environment. IntechOpen. https://doi.org/10.5772/intechopen.98282
Tzabiras J, Vasiliades L, Sidiropoulos P, Loukas A, Mylopoulos N (2016) Evaluation of water resources management strategies to overturn climate change impacts on Lake Karla Watershed. Water Resour Manage 30:5819–5844. https://doi.org/10.1007/s11269-016-1536-y
Van Vuuren D, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt G, Kram T, Krey V, Lamarque JF, Masui T, Meinshausen M, Nakicenovic N, Smith S, Rose S (2011) The representative concentration pathways: an overview. Clim Change 109:5–31. https://doi.org/10.1007/s10584-011-0148-z
Yariyan P, Avand M, Soltani F, Ghorbanzadeh O, Blaschke T (2020) Earthquake vulnerability mapping using different hybrid models. Symmetry 12(3):405. https://doi.org/10.3390/sym12030405
Yousefi S, Avand M, Yariyan P, Pourghasemi HR, Keesstra S, Tavangar S, Tabibian S (2020) A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator change. Ecol Ind 117:106591. https://doi.org/10.1016/j.ecolind.2020.106591
Zhuang XW, Li YP, Nie S, Fan YR, Huang GH (2018) Analyzing climate change impacts on water resources under uncertainty using an integrated simulation-optimization approach. J Hydrol 556:523–538. https://doi.org/10.1016/j.jhydrol.2017.11.016
Acknowledgements
This manuscript is dedicated to the loving memory of Prof. Dr. Nilgün HARMANCIOGLU, to whom this special issue is dedicated for. As her colleagues and students, we are still inspired by the discipline, guidance and kindness she showed throughout her life. The OPTIMA project (INCO-CT-2004-509091, Grant Agreement No: 509091) is funded, in part, by the European Commission, DG Research, under the FW6 INCO-MPC Program. The MARA-MEDITERRA project (2121 Call 2021 Section 1 Water RIA) is funded by the Horizon 2020 European Union Funding for Research & Innovation under the Partnership for Research and Innovation in the Mediterranean Area Programme (PRIMA).
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by M. C. Gunacti, G. Onusluel Gul and C. P. Cetinkaya. The first draft of the manuscript was written by A. Gul and F. Barbaros. All authors commented on previous versions of the manuscript, read and approved the final manuscript.
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Gunacti, M.C., Gul, G.O., Cetinkaya, C.P. et al. Evaluating Impact of Land Use and Land Cover Change Under Climate Change on the Lake Marmara System. Water Resour Manage 37, 2643–2656 (2023). https://doi.org/10.1007/s11269-022-03317-8
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DOI: https://doi.org/10.1007/s11269-022-03317-8