PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Impact assessment of vegetation loss on the ecosystem functions in a semiarid watershed in Iran

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main purpose of this study is to investigate the effects of land cover changes and vegetation loss under conditions of change in climatic parameters (temperature and precipitation) and determining their impacts on different ecological functions in the eastern watershed of Lake Urmia and its four sub-watersheds in northwestern Iran. The method used has been a quantitative assessment of selected ecosystem functions using a self-parameterizing, physically based model called Water World Policy Support System as well as applying satellite images to detect land-use/cover changes. Modeling of important ecological and hydrological parameters including vegetation density, water balance, surface runoff, and soil erosion was performed and for each of them, the quantity of changes was calculated and mapped. Then, by standardizing the maps for each parameter and overlapping them, cumulative impact levels across the watershed were classified. The result showed that with decrease in rainfall and increase in temperature, the average vegetation density decreased by 32% in the watershed and from 79 to 47%. Decreased vegetation, followed by increased runoff by about 2.5% and equivalent to 19,656.95 cubic meters per year. Consequently, the average net soil erosion has been changed from −0.012 to 0.20 mm per year per square meter. Hence, the average soil erosion in the watershed has increased by more than 3 tons per hectare. Based on the final results, more than 40% of the watershed area is under severe and very severe ecological impact.
Czasopismo
Rocznik
Strony
677--696
Opis fizyczny
Bibliogr. 74 poz.
Twórcy
  • Research Group of Environmental Assessment and Risks, Department of Environment, Research Center for Environment and Sustainable Development (RCESD), Tehran, Islamic Republic of Iran
  • Department of Environmental Studies, The Institute for Research and Development in Humanities (Samt), Tehran, Islamic Republic of Iran
  • Faculty of Natural Resources, Malayer University, Malayer, Iran
Bibliografia
  • 1. Ahmadaali J, Barani GA, Qaderi K, Hessari B (2018) Analysis of the effects of water management strategies and climate change on the environmental and agricultural sustainability of Urmia Lake Basin. Iran Water 10:160. https://doi.org/10.3390/w10020160
  • 2. Alizadeh-Choobari O, Ahmadi-Givi F, Mirzaei N, Owlad E (2016) Climate change and anthropogenic impacts on the rapid shrinkage of Lake Urmia. Int J Climatol 36:4276–4286. https://doi.org/10.1002/joc.4630
  • 3. Alkhayer M, Eghbal MK, Hamzehpour N (2019) Geomorphic surfaces of eastern lake Urmia Playa and their influence on dust storms. J Appl Sci Environ Manag 23:1511–1520. https://doi.org/10.4314/jasem.v23i8.15
  • 4. Baatz M, Benz U, Dehghane S, Heymen M, Holtje A, Hofman P, Lingenfelder I, Mimler M, Sohlbach M, Weber M (2005) User Guide: eCognition Professional 4.0. Definiens Imaging, Munich, Germany
  • 5. Balkanlou KR, Müller B, Cord AF, Panahi F, Malekian A, Jafari M, Egli L (2020) Spatiotemporal dynamics of ecosystem services provision in a degraded ecosystem: a systematic assessment in the Lake Urmia basin. Iran Sci Total Environ 716:137100. https://doi.org/10.1016/j.scitotenv.2020.137100
  • 6. Benz UC, Hofmann P, Willhauck G, Lingenfelder I, Heynen M (2004) Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J Photogramm Remote Sens 58:239–258. https://doi.org/10.1016/j.isprsjprs.2003.10.002
  • 7. Birch JC, Thapa I, Balmford A, Bradbury RB, Brown C, Butchart SH, Gurung H, Hughes FM, Mulligan M, Pandeya B (2014) What benefits do community forests provide, and to whom? A rapid assessment of ecosystem services from a Himalayan forest. Nepal Ecosyst Serv 8:118–127. https://doi.org/10.1016/j.ecoser.2014.03.005
  • 8. Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sens 65:2–16. https://doi.org/10.1016/j.isprsjprs.2009.06.004
  • 9. Bruijnzeel L, Mulligan M, Scatena FN (2011) Hydrometeorology of tropical montane cloud forests: emerging patterns. Hydrol Process 25:465–498. https://doi.org/10.1002/hyp.7974
  • 10. Carroll M, Townshend J, Hansen M, DiMiceli C, Sohlberg R, Wurster K (2010) MODIS vegetative cover conversion and vegetation continuous fields. Land remote sensing and global environmental change. Springer. pp 725–745 doi: https://doi.org/10.1007/978-1-4419-6749-7_32
  • 11. Christie M, Fazey I, Cooper R, Hyde T, Kenter JO (2012) An evaluation of monetary and non-monetary techniques for assessing the importance of biodiversity and ecosystem services to people in countries with developing economies. Ecol Econ 83:67–78. https://doi.org/10.1016/j.ecolecon.2012.08.012
  • 12. Cleve C, Kelly M, Kearns FR, Moritz M (2008) Classification of the wildland–urban interface: a comparison of pixel-and object-based classifications using high-resolution aerial photography. Comput Environ Urban Syst 32:317–326. https://doi.org/10.1016/j.compenvurbsys.2007.10.001
  • 13. Costanza R, De Groot R, Braat L, Kubiszewski I, Fioramonti L, Sutton P, Farber S, Grasso M (2017) Twenty years of ecosystem services: how far have we come and how far do we still need to go? Ecosyst Serv 28:1–16. https://doi.org/10.1016/j.ecoser.2017.09.008
  • 14. Daneshi A, Brouwer R, Najafinejad A, Panahi M, Zarandian A, Maghsood FF (2020) modelling the impacts of climate and land use change on water security in a semi-arid forested watershed using InVEST. J Hydrol. https://doi.org/10.1016/j.jhydrol.2020.125621
  • 15. De Groot RS, Alkemade R, Braat L, Hein L, Willemen L (2010) Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making. Ecol Complex 7:260–272. https://doi.org/10.1016/j.ecocom.2009.10.006
  • 16. Delju A, Ceylan A, Piguet E, Rebetez M (2013) Observed climate variability and change in Urmia Lake Basin. Iran Theor Appl Climatol 111:285–296. https://doi.org/10.1007/s00704-012-0651-9
  • 17. Dirnböck T, Dullinger S, Grabherr G (2003) A regional impact assessment of climate and land-use change on alpine vegetation. J Biogeogr 30:401–417. https://doi.org/10.1046/j.1365-2699.2003.00839.x
  • 18. Dong T, Xu W, Zheng H, Xiao Y, Kong L, Ouyang Z (2018) A framework for regional ecological risk warning based on ecosystem service approach: a case study in Ganzi. China Sustainability 10:2699. https://doi.org/10.3390/su10082699
  • 19. Dramstad W, Olson JD, Forman RT (1996) Landscape ecology principles in landscape architecture and land-use planning. Island press, Washington
  • 20. Faber JH, Marshall S, Van den Brink PJ, Maltby L (2019) Priorities and opportunities in the application of the ecosystem services concept in risk assessment for chemicals in the environment. Sci Total Environ 651:1067–1077. https://doi.org/10.1016/j.scitotenv.2018.09.209
  • 21. Farajzadeh J, Fard AF, Lotfi S (2014) Modeling of monthly rainfall and runoff of Urmia lake basin using “feed-forward neural network” and “time series analysis” model. Water Resour Ind 7:38–48. https://doi.org/10.1016/j.wri.2014.10.003
  • 22. Fathian F, Morid S, Kahya E (2015) Identification of trends in hydrological and climatic variables in Urmia Lake basin. Iran Theor Appl Climatol 119:443–464. https://doi.org/10.1007/s00704-014-1120-4
  • 23. Fathian F, Dehghan Z, Bazrkar MH, Eslamian S (2016a) Trends in hydrological and climatic variables affected by four variations of the Mann-Kendall approach in Urmia Lake basin. Iran Hydrol Sci J 61:892–904. https://doi.org/10.1080/02626667.2014.932911
  • 24. Fathian F, Modarres R, Dehghan Z (2016b) Urmia Lake water-level change detection and modeling. Model Earth Syst Environ 2:1–16. https://doi.org/10.1007/s40808-016-0253-0
  • 25. Fathian F, Morid S, Arshad S (2013) Trend assessment of land use changes using remote sensing technique and its relationship with streamflows trend (case study: the east sub-basins of Urmia Lake)
  • 26. Galbraith D, Levy PE, Sitch S, Huntingford C, Cox P, Williams M, Meir P (2010) Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change. New Phytol 187:647–665. https://doi.org/10.1111/j.1469-8137.2010.03350.x
  • 27. Galic N, Schmolke A, Forbes V, Baveco H, van den Brink PJ (2012) The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems. Sci Total Environ 415:93–100. https://doi.org/10.1016/j.scitotenv.2011.05.065
  • 28. Ghorbanalizadeh A, Akhani H, Bergmeier E (2020) Vegetation patterns of a rapidly drying up salt lake ecosystem: Lake Urmia, NW Iran. Phytocoenologia 50:1–46. https://doi.org/10.1127/phyto/2019/0338
  • 29. Hanewinkel M, Cullmann DA, Schelhaas MJ, Nabuurs GJ, Zimmermann NE (2013) Climate change may cause severe loss in the economic value of European forest land. Nat Clim Chang 3:203–207
  • 30. Hay AM (1979) Sampling designs to test land-use map accuracy. Photogramm Eng Remote Sens 45(4):529–533
  • 31. Kang P, Chen W, Hou Y, Li Y (2018) Linking ecosystem services and ecosystem health to ecological risk assessment: A case study of the Beijing-Tianjin-Hebei urban agglomeration. Sci Total Environ 636:1442–1454. https://doi.org/10.1016/j.scitotenv.2018.04.427
  • 32. Kendall MG (1948) Rank correlation methods
  • 33. Khazaei B, Khatami S, Alemohammad SH, Rashidi L, Wu C, Madani K, Kalantari Z, Destouni G, Aghakouchak A (2019) Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy. J Hydrol 569:203–217. https://doi.org/10.1016/j.jhydrol.2018.12.004
  • 34. Levin PS, Kelble CR, Shuford RL, Ainsworth C, deReynier Y, Dunsmore R, Fogarty MJ, Holsman K, Howell EA, Monaco ME (2014) Guidance for implementation of integrated ecosystem assessments: a US perspective. ICES J Mar Sci 71:1198–1204. https://doi.org/10.1093/icesjms/fst112
  • 35. Mann HB (1945) Nonparametric tests against trend. Econom J Econ Soc. https://doi.org/10.2307/1907187
  • 36. McFeeters SK (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens 17:1425–1432. https://doi.org/10.1080/01431169608948714
  • 37. McFeeters SK (2013) Using the normalized difference water index (NDWI) within a geographic information system to detect swimming pools for mosquito abatement: a practical approach. Remote Sensing 5:3544–3561. https://doi.org/10.3390/rs5073544
  • 38. McGarigal K, Marks BJ (1995) Spatial pattern analysis program for quantifying landscape structure. Gen. Tech. Rep. PNW-GTR-351. US Department of Agriculture, Forest Service, Pacific Northwest Research Station: pp 1–122
  • 39. Mirsanjari MM, Zarandian A, Mohammadyari F, Suziedelyte Visockiene J (2020) Investigation of the impacts of urban vegetation loss on the ecosystem service of air pollution mitigation in Karaj metropolis. Iran Environ Monit Assessment 192:1–23. https://doi.org/10.1007/s10661-020-08399-8
  • 40. Mohammad ZS, Sedighi H, Pezeshki RG, Makhdom M, Sharifi KM (2015) Analyzing the impacts of changing agronomic land use to orchard from the viewpoint of orchardist in the west of Urmia lake basin. https://ijaedr.ut.ac.ir/article_53850
  • 41. Mohammadi S, Balouei F, Haji K, Khaledi Darvishan A, Karydas CG (2021) Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model. Int J Digit Earth. https://doi.org/10.1080/17538947.2021.1919230
  • 42. Mulligan M (2012) WaterWorld: a self-parameterising, physically based model for application in data-poor but problem-rich environments globally. Hydrol Res 44:748–769. https://doi.org/10.2166/nh.2012.217
  • 43. Mulligan M (2013) WaterWorld: a self-parameterising, physically based model for application in data-poor but problem-rich environments globally. Hydrol Res 44:748–769. https://doi.org/10.2166/nh.2012.217
  • 44. Mulligan M (2016) Computational policy support systems for understanding land degradation effects on water and food security for and from Africa. Land Restor. https://doi.org/10.1016/B978-0-12-801231-4.00003-3
  • 45. Munns WR Jr, Rea AW, Suter GW, Martin L, Blake-Hedges L, Crk T, Davis C, Ferreira G, Jordan S, Mahoney M (2016) Ecosystem services as assessment endpoints for ecological risk assessment. Integr Environ Assess Manag 12:522–528. https://doi.org/10.1002/ieam.1707
  • 46. Nematollahi S, Fakheran S, Kienast F, Jafari A (2020) Application of InVEST habitat quality module in spatially vulnerability assessment of natural habitats (case study: Chaharmahal and Bakhtiari province, Iran). Environ Monit Assess 192:1–17. https://doi.org/10.1007/s10661-020-08460-6
  • 47. Null SE, Viers JH, Mount JF (2010) Hydrologic response and watershed sensitivity to climate warming in California’s Sierra Nevada. PLoS ONE 5:9932. https://doi.org/10.1371/journal.pone.0009932
  • 48. Pandeya B (2013) Understanding hydrological ecosystem services produced by the Indo-Gangetic basin and selected mountain catchments in the Himalayas. King’s College, London
  • 49. Patil GP, Brooks RP, Myers WL, Rapport DJ, Taillie C (2001) Ecosystem health and its measurement at landscape scale: Toward the next generation of quantitative assessments. Ecosyst Health 7:307–316. https://doi.org/10.1046/j.1526-0992.2001.01034.x
  • 50. Peh KSH, Thapa I, Basnyat M, Balmford A, Bhattarai GP, Bradbury RB, Brown C, Butchart SH, Dhakal M, Gurung H (2016) Synergies between biodiversity conservation and ecosystem service provision: lessons on integrated ecosystem service valuation from a Himalayan protected area. Nepal Ecosyst Serv 22:359–369. https://doi.org/10.1016/j.ecoser.2016.05.003
  • 51. Pettorelli N, Ryan S, Mueller T, Bunnefeld N, Jędrzejewska B, Lima M, Kausrud K (2011) The Normalized Difference Vegetation Index (NDVI): unforeseen successes in animal ecology. Climate Res 46:15–27. https://doi.org/10.3354/cr00936
  • 52. Rawat JS (2015) Kumar M (2015) Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. Egypt J Rem Sens Space Sci 18(1):77–84. https://doi.org/10.1016/j.ejrs.2015.02.002
  • 53. Reidsma P, König H, Feng S, Bezlepkina I, Nesheim I, Bonin M, Sghaier M, Purushothaman S, Sieber S, Van Ittersum MK (2011) Methods and tools for integrated assessment of land use policies on sustainable development in developing countries. Land Use Policy 28:604–617. https://doi.org/10.1016/j.landusepol.2010.11.009
  • 54. Riordan EC, Rundel PW (2014) Land use compounds habitat losses under projected climate change in a threatened California ecosystem. PLoS ONE 9:e86487. https://doi.org/10.1371/journal.pone.0086487
  • 55. Sadat M, Zoghi M, Malekmohammadi B (2019) Spatiotemporal modeling of urban land cover changes and carbon storage ecosystem services: case study in Qaem Shahr County, Iran. Environ Dev Sustain. https://doi.org/10.1007/s10668-019-00565-4
  • 56. Sadeghi SHR (2017) Soil erosion in Iran: state of the art, tendency and solutions. Poljoprivreda Sumarstvo. 63:33–37. https://doi.org/10.17707/AgricultForest.63.3.04
  • 57. Seppelt R, Fath B, Burkhard B, Fisher JL, Grêt-Regamey A, Lautenbach S, Pert P, Hotes S, Spangenberg J, Verburg PH (2012) Form follows function? Proposing a blueprint for ecosystem service assessments based on reviews and case studies. Ecol Ind 21:145–154. https://doi.org/10.1016/j.ecolind.2011.09.003
  • 58. Shadkam S, Ludwig F, van Oel P, Kirmit Ç, Kabat P (2016) Impacts of climate change and water resources development on the declining inflow into Iran’s Urmia Lake. J Great Lakes Res 42:942–952. https://doi.org/10.1016/j.jglr.2016.07.033
  • 59. Sobhani B, Zengir VS, Kianian M (2019) Drought monitoring in the Lake Urmia basin in Iran. Arab J Geosci 12:448. https://doi.org/10.1007/s12517-019-4571-1
  • 60. Song XP, Hansen MC, Stehman SV, Potapov PV, Tyukavina A, Vermote EF, Townshend JR (2018) Global land change from 1982 to 2016. Nature 560:639–643. https://doi.org/10.1038/s41586-018-0411-9
  • 61. 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 12:219. https://doi.org/10.1007/s12517-019-4373-5
  • 62. Talebi T, Ramezani E, Djamali M, Lahijani HAK, Naqinezhad A, Alizadeh K, Andrieu-Ponel V (2016) The Late-Holocene climate change, vegetation dynamics, lake-level changes and anthropogenic impacts in the Lake Urmia region, NW Iran. Quatern Int 408:40–51. https://doi.org/10.1016/j.quaint.2015.11.070
  • 63. Thiessen AH (1911) Precipitation averages for large areas. Mon Weather Rev 39:1082–1089. https://doi.org/10.1175/1520-0493(1911)39%3c1082b:PAFLA%3e2.0.CO;2
  • 64. Thornes JB (1990) The interaction of erosional and vegetational dynamics in land degradation: spatial outcomes. Vegetation and erosion. Processes and environments.:41–53.
  • 65. TT R, (1995) Land mosaics: the ecology of landscapes and regions. Cambridge University Press, Cambridge
  • 66. van Soesbergen A, Mulligan M (2014) Modelling multiple threats to water security in the Peruvian Amazon using the WaterWorld policy support system. Earth Syst Dyn 5:55–65. https://doi.org/10.5194/esd-5-55-2014
  • 67. Van Soesbergen A (2013) Impacts of climate change on water resources of global dams. King's College London (University of London)
  • 68. Velasco Arguello PdR (2014) Hydrologic responses to climatic change in Paute River Basin in Ecuador: A case study comparing SWAT (Solid and Water Assessment Tool) and WaterWorld. Londres/King's College University of London/2014
  • 69. Xing L, Hu M, Wang Y (2020) Integrating ecosystem services value and uncertainty into regional ecological risk assessment: a case study of Hubei Province, Central China. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2020.140126
  • 70. Yan G (2003) Pixel based and object oriented image analysis for coal fire research. ITC
  • 71. Yang D, Kanae S, Oki T, Koike T, Musiake K (2003) Global potential soil erosion with reference to land use and climate changes. Hydrol Process 17:2913–2928. https://doi.org/10.1002/hyp.1441
  • 72. Zarandian A, Baral H, Stork NE, Ling MA, Yavari AR, Jafari HR, Amirnejad H (2017) Modeling of ecosystem services informs spatial planning in lands adjacent to the Sarvelat and Javaherdasht protected area in northern Iran. Land Use Policy 61:487–500. https://doi.org/10.1016/j.landusepol.2016.12.003
  • 73. Zarandian A, Badamfirouz J, Musazadeh R, Rahmati A, Azimi SB (2018) Scenario modeling for spatial-temporal change detection of carbon storage and sequestration in a forested landscape in Northern Iran. Environ Monit Assess 190:474
  • 74. Zarandian A, Yavari AR, Reza H (2016) Modeling land use change impacts on water-related ecosystem services using a policy support system
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1feffb95-a17f-4eb2-8b31-c30f632242a9
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.