Using water yield ecosystem services to assess water scarcity in a metropolitan arid environment in Qazvin region (Iran)

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Asef Darvishi
Shahid Beheshti University (Tehran, Iran). Department of Environmental Planning and Design, Environmental Sciences Research Institute
Maryam Yousefi
Shahid Beheshti University (Tehran, Iran). Department of Environmental Planning and Design, Environmental Sciences Research Institute

Water Yield Ecosystem Service (WYES) is one of the main benefits of natural resources and have an essential role in agriculture, industry, and energy generation for social and ecological function. Quantity and quality of water availability is critical for the socio-economic development, which directly influence sustainable development of the social and ecological systems, especially in metropolitan areas facing water scarcity. This paper presents a quantifying assessment and mapping WYES in the Qazvin metropolitan region (Iran), using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to address water scarcity under two scenarios: the first is Continuing the Current Situation Scenario (CCSS) and the second is Land use Planning Scenario (LPS) which incorporates of Land Use and Cover Change (LUCC) under landscape ecological capability. The result shows, the estimation of overall water yield in the current situation is 752.02 Million m3, in the CCSS will decrease to 575.32 Million m3, and in the LPS will decrease to 602.74 Million m3. This study guides decision makers and is essential for the development of metropolitan green infrastructure strategies in arid environments that will ensure their future water supply in climate change scenarios.

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Darvishi, Asef; Yousefi, Maryam. «Using water yield ecosystem services to assess water scarcity in a metropolitan arid environment in Qazvin region (Iran)». Papers: Regió Metropolitana de Barcelona: Territori, estratègies, planejament, 2022, núm. 64, p. 216-22, https://raco.cat/index.php/PapersIERMB/article/view/402594.
Referències
AbdelRahman, M. A., Natarajan, A., & Hegde, R. (2016). Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 125-141.

Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration- Guidelines for computing crop

Chacko, S., Kurian, J., Ravichandran, C., Vairavel, S. M., & Kumar, K. (2019). An assessment of water yield ecosystem services in Periyar Tiger Reserve, Southern Western Ghats of India. Geology, Ecology, and Landscapes, 1-8.

Darvish, A., Ghorban, M., Fakheran, S., & Soffianian, A. (2014). Network analysis and key actors toward wildlife management (case study: habitat of Caucasian Black Grouse, Arasbaran Biosphere Reserve). Iranian Journal of Applied Ecology, 3(9), 29-41.

Darvishi, A., Fakheran, S., & Soffianian, A. (2015). Monitoring landscape changes in Caucasian black grouse (Tetrao mlokosiewiczi) habitat in Iran during the last two decades. Environmental monitoring and assessment, 187(7), 443.

Darvishi, A., Fakheran, S., Soffianian, A., & Ghorbani, M. (2016). Change detection and land use/cover dynamics in the Arasbaran Biosphere Reserve. Journal of Natural Environment, 68(4), 559-572.

Darvishi, A., Mobarghaee Dinan, N., Barghjelveh, S., & Yousefi, M. (2020a). Assessment and Spatial Planning of Landscape Ecological Connectivity for Biodiversity Management (Case Study: Qazvin Province). Iranian Journal of Applied Ecology, 9(1), 15-29.

Darvishi, A., Mobarghaee, N., Yousefi, M., & Barghjelveh, S. (2021). Using the method of “Effective Mesh Size” for qualitative evaluation of regional protected areas (Case study: Qazvin province). Journal of Environmental Studies, 46(4), 539-554.

Darvishi, A., Yousefi, M., & Marull, J. (2020b). Modelling landscape ecological assessments of land use and cover change scenarios. Application to the Bojnourd Metropolitan Area (NE Iran). Land Use Policy, 99, 105098.

Darvishi, A., Yousefi, M., & Mobarghaee Dinan, N. (2021). Evaluating the Correlation Between Pollination Ecosystem Service and Landscape Pattern metrics (Case Study: Qazvin Province). Iranian Journal of Applied Ecology, 10(1), 51-63.

Darvishi, A., Yousefi, M., & Mobarghei Dinan, N. (2020c). Investigating the effect of Socio-economic Disturbance Resulting from human activities on Landscape Ecological Function using HANPP index (Case Study: Qazvin Province). Journal of Natural Environment, 73(3), 471-484.

Darvishi, A., Yousefi, M., Dinan, N. M., & Angelstam, P. (2021). Assessing levels, trade-offs and synergies of landscape services in the Iranian province of Qazvin: towards sustainable landscapes. Landscape Ecology, 1-23.

Dendoncker, N., Rounsevell, M., & Bogaert, P. (2007). Spatial analysis and modelling of land use distributions in Belgium. Computers, Environment and Urban Systems 31 (2), 188-205.

Fan, M., Shibata, H., & Chen, L. (2020). Spatial priority conservation areas for water yield ecosystem service under climate changes in Teshio watershed, northernmost Japan. Journal of Water and Climate Change, 11(1), 106-129.

FAO, 1976. A framework for land evaluation. FAO soil bulletin no. 32, Rome.

FAO, 2004. Global Map of Monthly Reference Evapotranspiration – 10 Arc Minutes. Food & Agriculture Organization of the UN, Rome.

Fataei E, Alipour M, Farhadi H, Mohammadian A (2015) Industrial state site selection using MCD method and GIS in Germi, Ardabil, Iran. J Ind Intell Inf 3(4):324-329.

Fisher, B., Turner, R. K., & Morling, P. (2009). Defining and classifying ecosystem services for decision making. Ecological economics, 68(3), 643-653.

Hargreaves, G. H., & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1(2), 96–99.

Hewson, J., Razafimanahaka, J.H., Wright, T.M., et al. (2019). Land Change Modelling to Inform Strategic Decisions on Forest Cover and CO2 Emissions in Eastern Madagascar. Environmental Conservation 46 (1), 25-33.

Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G., Jarvis, A., 2005. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965-1978.

Lang, Y., Song, W., & Zhang, Y. (2017). Responses of the water-yield ecosystem service to climate and land use change in Sancha River Basin, China. Physics and Chemistry of the Earth, Parts A/B/C, 101, 102-111.

Lang, Y., Song, W., & Zhang, Y. (2017). Responses of the water-yield ecosystem service to climate and land use change in Sancha River Basin, China. Physics and Chemistry of the Earth, Parts A/B/C, 101, 102-111.

Leh, M. D., Matlock, M. D., Cummings, E. C., & Nalley, L. L. (2013). Quantifying and mapping multiple ecosystem services change in West Africa. Agriculture, ecosystems & environment, 165, 6-18.

Li, S., Yang, H., Lacayo, M., Liu, J., & Lei, G. (2018). Impacts of land-use and land-cover changes on water yield: A case study in Jing-Jin-Ji, China. Sustainability, 10(4), 960.

Lian, X. H., Qi, Y., Wang, H. W., Zhang, J. L., & Yang, R. (2020). Assessing Changes of Water Yield in Qinghai Lake Watershed of China. Water, 12(1), 11.

Makhdoom, M. (2001). Fundamental of Land Use Planning, Tehran University Press. pp. 289.

Martínez-Harms, M. J., & Balvanera, P. (2012). Methods for mapping ecosystem service supply: a review. International Journal of Biodiversity Science, Ecosystem Services & Management, 8(1-2), 17-25.

Menhaj MB (2007) Fuzzy computing, 1st edn. Amirkabir Pub, Tehran

Mertens, B., & Lambin, E.F. (1997). Spatial modelling of deforestation in southern Cameroon: spatial disaggregation of diverse deforestation processes. Applied Geography 17 (2), 143-162.

Mohammadrezapour, O., Yoosefdoost, I., & Ebrahimi, M. (2019). Cuckoo optimization algorithm in optimal water allocation and crop planning under various weather conditions (case study: Qazvin plain, Iran). Neural Computing and Applications, 31(6), 1879-1892

Nelson, E., Mendoza, G., Regetz, J., Polasky, S., Tallis, H., Cameron, D., Chan, K.M., Daily, G.C., Goldstein, J., Kareiva, P.M., Lonsdorf, E., Naidoo, R., Ricketts, T.H., Shaw, M.,2009. Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Front. Ecol. Environ. 7, 4-11.

Redhead, J. W., Stratford, C., Sharps, K., Jones, L., Ziv, G., Clarke, D., ... & Bullock, J. M. (2016). Empirical validation of the InVEST water yield ecosystem service model at a national scale. Science of the Total Environment, 569, 1418-1426.

Redhead, J. W., Stratford, C., Sharps, K., Jones, L., Ziv, G., Clarke, D., ... & Bullock, J. M. (2016). Empirical validation of the InVEST water yield ecosystem service model at a national scale. Science of the Total Environment, 569, 1418-1426.

Salari, M., Shariat, S. M., Rahimi, R., & Dashti, S. (2019). Land capability evaluation for identifying industrial zones: combination multi-criteria decision-making method with geographic information system. International Journal of Environmental Science and Technology, 16(10), 5501-5512.

Scordo, F., Lavender, T. M., Seitz, C., Perillo, V. L., Rusak, J. A., Piccolo, M., & Perillo, G. M. (2018). Modeling water yield: Assessing the role of site and region-specific attributes in determining model performance of the InVEST seasonal water yield model. Water, 10(11), 1496.

Soil Survey Staff, 1958, Land Capability Classification. Soils Memorandum SCS-22.

Taibi A, Atmani B (2017) Combining fuzzy AHP with GIS and decision rules for industrial site selection. Int J Interact Multimedia Artif Intell 4:1-10

Tallis, H.T., Ricketts, T., Guerry, A.D., Wood, S.A., Sharp, R., Nelson, E., Ennaanay, D., Wolny, S., Olwero, N., Vigerstol, K., Pennington, D., Mendoza, G., Aukema, J., Foster, J., Forrest, J., Cameron, D., Arkema, K., Lonsdorf, E., Kennedy, C., Verutes, G., Kim, C.K., Guannel, G., Papenfus, M., Toft, J., Marsik, M., Bernhardt, J., 2011. InVEST 2.2.1 User’s Guide. The Natural Capital Project, Stanford

Troy, A., & Wilson, M. A. (2006). Mapping ecosystem services: practical challenges and opportunities in linking GIS and value transfer. Ecological economics, 60(2), 435-449.

Wade, A.S.I., Asase, A., Hadley, P., Mason, J., OforiFrimpong, K., Preece, D., Spring, N., Norris, K., 2010. Management strategies for maximizing carbon storage and tree species diversity in cocoa-growing landscapes. Agric. Ecosyst. Environ. 138, 324–334.

Water requirements (FAO Irrigation and Drainage Paper 56). Rome: FAO-Food and Agriculture Organization of the United Nations.

Yousefi, M., Darvishi, A., Padró, R., Barghjelveh, S., Dinan, N. M., & Marull, J. (2020). An energy-landscape integrated analysis to evaluate agroecological scarcity. Science of The Total Environment, 139998.

Yousefi, M., Darvishi, A., Tello, E., Barghjelveh, S., Dinan, N. M., & Marull, J. (2021). Comparison of two biophysical indicators under different landscape complexity. Ecological Indicators, 124, 107439.

Yousefi, M., Mikaniki, J., Ashrafi, A., Neysani, S.N. (2018). Land use change detection and modeling using remote sensing data, markov chains and cellular automata (Case study: city of Bojnord). Geograph. Plann. 7 (26), 1-16.

Yuan, M. H., Lo, S. L., & Chiueh, P. T. (2019). Embedding scarcity in urban water tariffs: mapping supply and demand in North Taiwan. Environmental Earth Sciences, 78(10), 325.

Zhang, L., Dawes, W.R., Walker, G.R., 2001. Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Res. Res. 37, 701-708.