Detecting land use and climate impacts on water yield ecosystem service in arid and semi-arid areas. A study in Sirvan River Basin-Iran

Springer Science and Business Media LLC - Tập 12 - Trang 1-14 - 2021
Jahanbakhsh Balist1, Bahram Malekmohammadi1, Hamid Reza Jafari1, Ahmad Nohegar1, Davide Geneletti2
1School of Environment, College of Engineering, University of Tehran, Tehran, Iran
2Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, Italy

Tóm tắt

This study investigates how land use and climate changes affect water yield ecosystem service (ES) in the Sirvan River basin, located in Iran’s Kurdistan and Kermanshah provinces. By detecting land-use and climatic parameter changes in the past, their future evolution were modeled by scenario making. For this purpose, we developed two land-use scenarios (low and high urbanization) and two climatic scenarios (Representative Concentration Pathway 2.6 and RCP 8.5). The implemented scenarios showed how the amount of water yield in the basin and sub-basins changes in the future based on climate and land-use changes. The results showed that, concerning land use, the forest has decreased from 2013 to 2019, and built-up areas have increased. Also, the results showed that precipitation has been declining in the long term, and the temperature has been rising. Finally, the Water yield in 2019 was higher than in 2013 and lower in the future based on forecast scenarios. This trend will continue until 2040. In addition, it was found that the t effects of these factors on water yield ES are a complex process, and based on the results, the impact of climatic factors is more significant than the one of land-use change. We could conclude that this region will face more environmental problems in the future.

Tài liệu tham khảo

Al-Faraj FAM, Scholz M (2015) Impact of upstream anthropogenic river regulation on downstream water availability in transboundary river watersheds. Int J Water Resour Dev 31(1):28–49. https://doi.org/10.1080/07900627.2014.924395 Afzal M, Ragab R (2020) Assessment of the potential impacts of climate change on the hydrology at catchment scale: modelling approach including prediction of future drought events using drought indices. Appl Water Sci 10:215. https://doi.org/10.1007/s13201-020-01293-1 Atumane A, Cabral P (2021) Integration of ecosystem services into land use planning in mozambique. Ecosyst, People 17(1):165–177. https://doi.org/10.1080/26395916.2021.1903081 Aliani H, Malmir M, Sourodi M et al (2019) Change detection and prediction of urban land-use changes by C.A.–Markov model (case study: Talesh County). Environ Earth Sci 78:546. https://doi.org/10.1007/s12665-019-8557-9 Amini MR, Shetaee S, Ghazanfari H, Moayeri MH (2009) Change detection of Zagros forests extent by using airborne photo satellite images (case study: Bane forests). JASNR 15(2):10–20 Ashnani MHM, Danehkar A, Makhodoum M, Majed V (2018) Integrating the concept of ecosystem services and values in land use planning. In: IOP conference series: earth and environmental science (EES), vol 167. IOP Publishing, Barcelona, p 012026 Bagstad KJ, Villa F, Batker D, Harrisoncox J, Voigt B, Johnson GW (2015) From theoretical to actual ecosystem services: mapping beneficiaries and spatial flows in ecosystem service assessments. Ecol Soc 19(2):64–69. https://doi.org/10.5751/ES-06523-190264 Bounoua L, Nigro J, Zhang P, Thome K, Lachir A (2018) Mapping urbanization in the United States from 2001 to 2011. Appl Geogr 90:123–133 Bozorg-Haddad O, Zolghadr-Asli B, Sarzaeim P, Aboutalebi M, Chu X, Loáiciga HA (2020) Evaluation of Water shortage crisis in the middle east and possible remedies. J Water Supply: Res Technol-Aqua 69(1):85–98. https://doi.org/10.2166/aqua.2019.049 Di Marino M, Tiitu M, Lapintie K, Viinika A, Kopperoinen L (2019) Integrating green infrastructure and ecosystem services in land use planning. Results from two Finnish case studies. Land Use Policy 82:643–656. https://doi.org/10.1016/j.landusepol.2019.01.007 Effati F, Karimi H, Yavari A (2021) Investigating effects of land use and land cover patterns on land surface temperature using landscape metrics in the city of Tehran, Iran. Arab J Geosci 14:1240. https://doi.org/10.1007/s12517-021-07433-4 Hamel P, Guswa A (2015) Uncertainty analysis of a spatially-explicit annual water-balance model: case study of the Cape Fear catchment, N.C. Hydrol Earth Syst Sci. 10.5194/hess-19-839-2015 Hansen R, Pauleit S (2014) From multifunctionality to multiple Ecosystem Services? A conceptual framework for multifunctionality in green infrastructure planning for urban areas. Ambio 43(4):516–529. https://doi.org/10.1007/s13280-014-0510-2 Heydari Tasheh Kabood S, Hosseini SA, Heydari Tasheh Kabood A (2020) Investigating the effects of climate change on stream flows of Urmia Lake basin in Iran. Model Earth Syst Environ 6:329–339. https://doi.org/10.1007/s40808-019-00681-0 Jafarzadeh A, Mahdavi A, FallahShamsi R, Yousefpour R (2019) Annual water yield estimation for different land uses by GIS-based InVEST model (case study: Mish-khas Catchment, Ilam Province, Iran). J Rangel Sci 9(1):1–12 Jamshidi Bakhtar A, Sagheb-Talebi K, MarviMohajer M, Haidari M (2013) The impact of fire on the forest and plants diversity in Iranian Oak forest. Int J Adv Biol Biomed Res 1(3):273–284 Karimi H, Jafarnezhad J, Khaledi J, Ahmadi P (2018) Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in Iran. Arab J Geosci 11:592. https://doi.org/10.1007/s12517-018-3940-5 Khan Hasani M, Sharifi M, Tavakoli A (2008) Using aerial photos in estimation of destruction rate of Chahrzobor forests in Kermanshah province. IJFPR 15(2):105–114 Kim S-W, Jung Y-Y (2020) Application of the InVEST model to quantify the water yield of North Korean Forests. Forests 11:804. https://doi.org/10.3390/f11080804 Kourosh Niya A, Huang J, Kazemzadeh-Zow A, Karimi H, Hamidreza., Keshtkar & BabakNaimi. (2020) Comparison of three hybrid models to simulate land use changes: a case study in Qeshm Island. Iran Environ Monit Assess 192:302. https://doi.org/10.1007/s10661-020-08274-6 Kourosh Niya A, Huang J, Karimi H, Keshtkar H, Naimi B (2019) Use of intensity analysis to characterize land use/cover change in the biggest Island of Persian Gulf, Qeshm Island, Iran. Sustainability 11:4396. https://doi.org/10.3390/su11164396 Maes J, Teller A, Erhard M, Condé S, Vallecillo S, Barredo JI, Paracchini ML, Abdul Malak D, Trombetti M, Vigiak O et al (2020) Mapping and assessment of ecosystems and their services: an EU ecosystem assessment. Publications Office of the European Union, Ispra Mahdavi A (2010) IRS-1C image data applications for land use/land cover mapping in Zagros region, case study: Ilam watershed. West Iran CJES 8(1):35–41 Mansouri Daneshvar MR, Ebrahimi M, Nejadsoleymani H (2019) An overview of climate change in Iran: facts and statistics. Environ Syst Res 8:7. https://doi.org/10.1186/s40068-019-0135-3 Mugiraneza T, Ban Y, Haas J (2019) Urban land cover dynamics and their impact on ecosystem services in Kigali, Rwanda using multi-temporal Landsat data. Remote Sens Appl Soc Environ 13:234–246. https://linkinghub.elsevier.com/retrieve/pii/S2352938518300776 Munoth P, Goyal R (2020) Impacts of land use land cover change on runoff and sediment yield of Upper Tapi River Sub-Basin India. Int J River Basin Manage 18(2):177–189. https://doi.org/10.1080/15715124.2019.1613413 Nikodinoska N, Paletto A, Pastorella F, Granvik M, Franzese PP (2018) Assessing, valuing and mapping ecosystem services at city level: the case of Uppsala (Sweden). Ecol Model 368:411–424. https://linkinghub.elsevier.com/retrieve/pii/S0304380017302478 Pachauri RK et al (2014) 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 Racsko P, Szeidl L, Semenov M (1991) A serial approach to local stochastic weather models. Ecol Model 57(1):27–41 Ragno E et al (2018) Quantifying changes in future intensity-duration-frequency curves using multimodel ensemble simulations. Water Resources Research Rezaee Moghadam M, Rezaee Banafshe M, FeyziZade B, Nazm Far H (2010) Classification of land use/cover based on objectoriented techniques and satellite images (case study: Azarbayjan-egharbi province). JWMR 87:20–35 Richards JA (1999) Remote sensing digital image analysis. Springer, Berlin, p 240 Rozas-Vásqueza D, Fürst C, Geneletti D (2019) Integrating ecosystem services in spatial planning and strategic environmental assessment: the role of the cascade model. Environ Impact Assess Rev 78:106291. https://doi.org/10.1016/j.eiar.2019.106291 Saddique N, Mahmood T, Bernhofer C (2020) Quantifying the impacts of land use/land cover change on the water balance in the afforested River Basin. Pakistan. Environ Earth Sci 79:448. https://doi.org/10.1007/s12665-020-09206-w Semenov MA, Brooks RJ, Barrow EM, Richardson CW (1998) Comparison of the WGEN and LARSWG stochastic weather generators in diverse climates. Clim Res 10:95–107 Shahkooeei E, Arekhi S, NajafiKani A (2014) Remote sensing and GIS for mapping and monitoring land cover and land use changes using support vector machine algorithm (case study: Ilam dam watershed). Res J Appl Basic Sci 8(4):464–473 Shirmohammadi B, Malekian A, Salajegheh A et al (2020) Impacts of future climate and land use change on water yield in a semiarid basin in Iran. Land Degrad Dev 2020(31):1252–1264. https://doi.org/10.1002/ldr.3554 Shrestha M, Leigh L, Helder D (2019) Classification of North Africa for use as an extended pseudo invariant calibration sites (EPICS) for radiometric calibration and stability monitoring of optical satellite sensors. Remote Sens 11:875 Song W, Deng X (2017) Land-use/land-cover change and ecosystem service provision in China. Sci Total Environ 576:705–719 Sun S, Sun G, Caldwell P, McNulty S, Cohen E, Xiao J, Zhang Y (2015) Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part II assessment results and management implications. For Ecol Manage 353:269–279 Susani J, Zobeyri M, Feghhi J (2010) application of aerial photos and satelitte images in viewing Zagros Forest cover (case study: forests of Kaka Reza area of Lorestan province). IJFPR 17(2):237–249 Tahiru AA, Doke DA, Baatuuwie BN (2020) Effect of land use and land cover changes on water quality in the Nawuni Catchment of the White Volta Basin, Northern Region. Ghana. Appl Water Sci 10:198. https://doi.org/10.1007/s13201-020-01272-6 Torabi Haghighi A, Darabi H, Shahedi K et al (2020) A scenario-based approach for assessing the hydrological impacts of land use and climate change in the Marboreh Watershed, Iran. Environ Model Assess 25:41–57. https://doi.org/10.1007/s10666-019-09665-x Vesely FM, Paleari L, Movedi E et al (2019) Quantifying uncertainty due to stochastic weather generators in climate change impact studies. Sci Rep 9:9258. https://doi.org/10.1038/s41598-019-45745-4 Yang J, Xie B, Zhang D et al (2021) Climate and land use change impacts on water yield ecosystem service in the Yellow River Basin, China. Environ Earth Sci 80:72. https://doi.org/10.1007/s12665-020-09277-9 Yin G, Wang X, Zhang X, Fu Y, Hao F, Hu Q (2020) InVEST model-based estimation of water yield in North China and its sensitivities to climate variables. Water 12:1692. https://doi.org/10.3390/w12061692 Zhao YR, Zhou JJ, Lei L, Xiang J, Huang MH, Feng W, Zhu GF, Wei W, Wang JA (2019) Identification of water yield driving factors in the upper reaches of Shiyang River based on InVEST model. Chin J Ecol 38(12):3789–3799. https://doi.org/10.13292/j.1000-4890.201912.017