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Satellite-based monitoring of lake Urmia basin health with focus on its ecosystem regulating services by applying total ecosystem health (TEH) model

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Abstract

In recent decades, most of the natural and semi-natural ecosystems around the world have experienced excessive environmental loads due to human unsustainable activities that threaten their health and sustainability. Accordingly, the idea of ecosystem health has been proposed to monitor simultaneously the structure, function as well as the services that an ecosystem provides. In this research, moderate resolution imaging spectroradiometer 8-day land surface temperature product was used to measure temperature and land cover changes of Lake Urmia Basin for three months of June, July and August in a time period of 2000–2018. Time series data analysis was carried out using linear regression, Fourier series and Mann–Kendall test. Moreover, Moran index was used to analyze changes of the spatial pattern of indicators. To show the influence of Lake Urmia ecosystem services on its overall health, Total Ecosystem Health model was established by introducing normalized difference vegetation index, lake temperature, Moran index and temperature of the basin as indicators of Vigor, Structure, Resilience and Ecosystem Services, respectively. Based on output of the model, 54, 41 and 4% of the regions have obtained weak, moderate and strong ecosystem health, respectively. The results showed that despite the moderating role of Lake Urmia as a temperature regulator for its surrounding areas especially within 10 km, the decline of ecosystem health status in 95% of regions has occurred during the years 2000–2018. Therefore, to benefit from the ecosystem regulating services, the sustainability of other components involved in the total ecosystem health should be also ensured.

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Source: the authors, 2020)

Fig. 2

Source: The authors, 2020)

Fig. 3

Source: the authors, 2020)

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Availability of data and material

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  • Abbasszadeh Tehrani N, Janalipour M (2020) Predicting ecosystem shift in a Salt Lake by using remote sensing indicators and spatial statistics methods (case study: Lake Urmia basin). Environ Eng Res 26:30–40

    Article  Google Scholar 

  • Abbaszadeh Tehrani N, Mohd Shafri HZ, Salehi S, Chanussot J, Janalipour M (2021) Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin. Int J Image Data Fusion 1–26

  • Ahani H, Kherad M, Kousari MR, Rezaeian-Zadeh M, Karampour MA, Ejraee F, Kamali S (2012) An investigation of trends in precipitation volume for the last three decades in different regions of Fars province, Iran. Theor Appl Climatol 109:361–382

    Article  Google Scholar 

  • Arora NK, Fatima T, Mishra I, Verma M, Mishra J, Mishra V (2018) Environmental sustainability: challenges and viable solutions. Environ Sustain 1:309–340

    Article  Google Scholar 

  • Assessment ME (2005) Ecosystems and human well-being. Island press Washington, DC

  • Barani Pesyan V, Porakrami M, Fotouhi Mehrbani B, Fotouhi Mehrbani B (2017) The investigation of lake Urmia drying trend and its important consequence on the surrounding settlements. J Rural Res 8:438–453

    Google Scholar 

  • Bloomfield P (2004) Fourier analysis of time series: an introduction. John Wiley & Sons

    Google Scholar 

  • Boesch DF, Paul JF (2001) An overview of coastal environmental health indicators. Hum Ecol Risk Assess Int J 7:1409–1417

    Article  Google Scholar 

  • Chen Z, Yin Q, Li L, Xu H (2010) Ecosystem health assessment by using remote sensing derived data: a case study of terrestrial region along the coast in Zhejiang province. In: 2010 IEEE international geoscience and remote sensing symposium, 2010. IEEE, pp 4526–4529

  • Costanza R, Mageau M (1999) What is a healthy ecosystem? Aquat Ecol 33:105–115

    Article  Google Scholar 

  • Cumming GS, Buerkert A, Hoffmann EM, Schlecht E, Von Cramon-Taubadel S, Tscharntke T (2014) Implications of agricultural transitions and urbanization for ecosystem services. Nature 515:50–57

    Article  CAS  Google Scholar 

  • De FSM Russo R, Camanho R (2015) Criteria in AHP: a systematic review of literature. Procedia Comput Sci 55: 1123–1132

  • Didan K (2015) MOD13A3 MODIS/Terra vegetation Indices monthly L3 global 1 km SIN grid V006. NASA EOSDIS Land Processes DAAC

  • Fathian F, Dehghan Z, Eslamian S (2016) Evaluating the impact of changes in land cover and climate variability on streamflow trends (case study: eastern subbasins of Lake Urmia, Iran). Int J Hydrol Sci Tech 6:1–26

    Article  Google Scholar 

  • Feghhi J, Teimouri S, Makhdoum M, Erfanifard Y, Tehrani NA (2017) The assessment of degradation to sustainability in an urban forest ecosystem by GIS. Urban for Urban Green 27:383–389

    Article  Google Scholar 

  • Flynn DF, Gogol-Prokurat M, Nogeire T, Molinari N, Richers BT, Lin BB, Simpson N, Mayfield MM, Declerck F (2009) Loss of functional diversity under land use intensification across multiple taxa. Ecol Lett 12:22–33

    Article  Google Scholar 

  • Foster G, Rahmstorf S (2011) Global temperature evolution 1979–2010. Environ Res Lett 6:044022

    Article  Google Scholar 

  • Getis A, Ord JK (2010) The analysis of spatial association by use of distance statistics. Springer, Perspectives on spatial data analysis

    Book  Google Scholar 

  • Ghale YAG, Altunkaynak A, Unal A (2018) Investigation anthropogenic impacts and climate factors on drying up of Urmia Lake using water budget and drought analysis. Water resour Manage 32:325–337

    Article  Google Scholar 

  • Hansen J, Sato M, Ruedy R, Lo K, Lea DW, Medina-Elizade M (2006) Global temperature change. Proc Natl Acad Sci 103:14288–14293

    Article  CAS  Google Scholar 

  • Hassanzadeh E, Zarghami M, Hassanzadeh Y (2012) Determining the main factors in declining the Urmia Lake level by using system dynamics modeling. Water Resour Manag 26:129–145

    Article  Google Scholar 

  • Hoseinpour M, Fakheri Fard A, Naghili R (2010) Death of Urmia Lake, a silent disaster investigating causes, results and solutions of Urmia Lake drying. 1st International Applied Geological Congress, Department of Geology, Islamic Azad University, Islamic Azad University-Mashad Branch, Iran

  • Jaagus J (2006) Climatic changes in Estonia during the second half of the 20th century in relationship with changes in large-scale atmospheric circulation. Theoret Appl Climatol 83:77–88

    Article  Google Scholar 

  • Janalipour M, Mohammadzadeh A (2018) Evaluation of effectiveness of three fuzzy systems and three texture extraction methods for building damage detection from post-event LiDAR data. Int J Digital Earth 11:1241–1268

    Article  Google Scholar 

  • Jørgensen SE, Xu L, Costanza R (2016) Handbook of ecological indicators for assessment of ecosystem health. CRC press

  • Kousari MR, Zarch MAA, Ahani H, Hakimelahi H (2013) A survey of temporal and spatial reference crop evapotranspiration trends in Iran from 1960 to 2005. Clim Change 120:277–298

    Article  Google Scholar 

  • Li Y-Y, Dong S-K, Wen L, Wang X-X, Wu Y (2013) Three-dimensional framework of vigor, organization, and resilience (vor) for assessing rangeland health: a case study from the alpine meadow of the qinghai-tibetan plateau, China. EcoHealth 10:423–433

    Article  Google Scholar 

  • Li Z, Xu D, Guo X (2014) Remote sensing of ecosystem health: opportunities, challenges, and future perspectives. Sensors 14:21117–21139

    Article  Google Scholar 

  • Lu Y, Wang R, Zhang Y, Su H, Wang P, Jenkins A, Ferrier RC, Bailey M, Squire G (2015) Ecosystem health towards sustainability. Ecosyst Health Sustain 1:1–15

    Google Scholar 

  • Ludwig JA, Bastin GN, Wallace JF, Mcvicar TR (2007) Assessing landscape health by scaling with remote sensing: when is it not enough? Landsc Ecol 22:163–169

    Article  Google Scholar 

  • Luoto M, Toivonen T, Heikkinen RK (2002) Prediction of total and rare plant species richness in agricultural landscapes from satellite images and topographic data. Landsc Ecol 17:195–217

    Article  Google Scholar 

  • Miller J, Rogan J (2007) Using GIS and remote sensing for ecological mapping and monitoring. Integr GIS Remote Sens 233–268

  • Nagendra H, Lucas R, Honrado JP, Jongman RH, Tarantino C, Adamo M, Mairota P (2013) Remote sensing for conservation monitoring: assessing protected areas, habitat extent, habitat condition, species diversity, and threats. Ecol Ind 33:45–59

    Article  Google Scholar 

  • Niedrist G, Tasser E, Lüth C, Dalla Via J, Tappeiner U (2009) Plant diversity declines with recent land use changes in European Alps. Plant Ecol 202:195

    Article  Google Scholar 

  • Rahman M, Islam AS, Nadvi SYM, Rahman RM (2013) Comparative study of ANFIS and ARIMA model for weather forecasting in Dhaka. In: 2013 international conference on informatics, electronics and vision (ICIEV), 2013. IEEE, pp 1–6

  • Rapport DJ, Costanza R, Mcmichael A (1998) Assessing ecosystem health. Trends Ecol Evol 13:397–402

    Article  CAS  Google Scholar 

  • Roerink G, Menenti M, Verhoef W (2000) Reconstructing cloudfree NDVI composites using Fourier analysis of time series. Int J Remote Sens 21:1911–1917

    Article  Google Scholar 

  • Sekercioglu CH (2010) Ecosystem functions and services. Conserv Biol All 2010:45–72

    Article  Google Scholar 

  • Shen C, Shi H, Zheng W, Ding D (2016) Spatial heterogeneity of ecosystem health and its sensitivity to pressure in the waters of nearshore archipelago. Ecol Ind 61:822–832

    Article  Google Scholar 

  • Shirmohammadi B, Malekian A, Salajegheh A, Taheri B, Azarnivand H, Malek Z, Verburg PH (2020) Scenario analysis for integrated water resources management under future land use change in the Urmia Lake region, Iran. Land Use Policy 90:104299

    Article  Google Scholar 

  • Su M, Fath BD, Yang Z (2010) Urban ecosystem health assessment: a review. Sci Total Environ 408:2425–2434

    Article  CAS  Google Scholar 

  • Sun T, Lin W, Chen G, Guo P, Zeng Y (2016) Wetland ecosystem health assessment through integrating remote sensing and inventory data with an assessment model for the Hangzhou Bay, China. Sci Total Environ 566:627–640

    Article  CAS  Google Scholar 

  • Tahroudi MN, Ramezani Y, Ahmadi F (2019) Investigating the trend and time of precipitation and river flow rate changes in Lake Urmia basin, Iran. Arab J Geosci 12:1–13

    Google Scholar 

  • Tzoulas K, Korpela K, Venn S, Yli-Pelkonen V, Kaźmierczak A, Niemela J, James P (2007) Promoting ecosystem and human health in urban areas using Green Infrastructure: a literature review. Landsc Urban Plan 81:167–178

    Article  Google Scholar 

  • Wan Z, Hook S, Hulley G (2015) MOD11A2 MODIS/Terra land surface temperature/emissivity 8-day L3 global 1km SIN grid V006. NASA EOSDIS Land Processes DAAC, 10.

  • White DA (2007) The MODIS conversion toolkit (MCTK) user’s guide. ITT Visual Information Solutions. Available online: http://nsidc.org/data/modis/tools.html. Accessed 20 Apr 2014

  • Wong CP, Jiang B, Bohn TJ, Lee KN, Lettenmaier DP, Ma D, Ouyang Z (2017) Lake and wetland ecosystem services measuring water storage and local climate regulation. Water Resour Res 53:3197–3223

    Article  Google Scholar 

  • Wulder MA, Hall RJ, Coops NC, Franklin SE (2004) High spatial resolution remotely sensed data for ecosystem characterization. Bioscience 54:511–521

    Article  Google Scholar 

  • Wurtsbaugh WA, Miller C, Null SE, Derose RJ, Wilcock P, Hahnenberger M, Howe F, Moore J (2017) Decline of the world’s saline lakes. Nat Geosci 10:816

    Article  CAS  Google Scholar 

  • Xu F-L, Jørgensen SE, Tao S, Li B-G (1999) Modeling the effects of ecological engineering on ecosystem health of a shallow eutrophic Chinese lake (Lake Chao). Ecol Model 117:239–260

    Article  CAS  Google Scholar 

  • Xu F, Yang Z, Chen B, Zhao Y (2012) Ecosystem health assessment of Baiyangdian Lake based on thermodynamic indicators. Procedia Environ Sci 13:2402–2413

    Article  Google Scholar 

  • Yan Y, Zhao C, Wang C, Shan P, Zhang Y, Wu G (2016) Ecosystem health assessment of the Liao River Basin upstream region based on ecosystem services. Acta Ecol Sin 36:294–300

    Article  Google Scholar 

  • Zeng R, Zhao Y, Yang Z (2010) Emergy-based health assessment of Baiyangdian watershed ecosystem in temporal and spatial scales. Procedia Environ Sci 2:359–371

    Article  Google Scholar 

  • Zheng H, Wang L, Wu T (2019) Coordinating ecosystem service trade-offs to achieve win–win outcomes: a review of the approaches. J Environ Sci

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Acknowledgements

We would like to thank Aerospace Research Institute (ARI) affiliated to the Ministry of Science, Research and Technology (MSRT) for its full support and the anonymous reviewers for their constructive comments.

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Authors and Affiliations

  1. Aerospace Research Institute, Ministry of Science, Research, and Technology, Tehran, Iran

    M. Janalipour & N. Abbaszadeh Tehrani

  2. Department of Civil Engineering and Geospatial Information Science Research Center (GISRC), Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia

    H. Z. M. Shafri

  3. Department of Petrology and Economic Geology, Geological Survey of Denmark and Greenland, 1350, Copenhagen, Denmark

    S. Salehi

  4. K.N. Toosi University of Technology, Tehran, Iran

    A. Mohammadzadeh

  5. Shahid Rajaee Teacher Training University, Tehran, Iran

    S. Ghasemi

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  1. M. Janalipour
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  4. S. Salehi
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Correspondence to N. Abbaszadeh Tehrani.

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Janalipour, M., Abbaszadeh Tehrani, N., Shafri, H.Z.M. et al. Satellite-based monitoring of lake Urmia basin health with focus on its ecosystem regulating services by applying total ecosystem health (TEH) model. Int. J. Environ. Sci. Technol. 19, 6151–6162 (2022). https://doi.org/10.1007/s13762-021-03786-1

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  • DOI: https://doi.org/10.1007/s13762-021-03786-1

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