[en] One of the most important environmental problems in Iran is the destruction and drying of Urmia Lake (UL). UL is one of the main causes of suitable weather for agricultural boom and tourist attraction and it should be considered that the villagers exposed to UL drying have a strong dependence on vulnerable resources such as water, air, soil and plants for their livelihoods and have low adaptive capacity with this crisis for reasons such as poverty, lack of awareness and lack of infrastructure. This study was designed to evaluate the vulnerability of rural households to UL drying in the Shabestar region. The vulnerability was calculated based on Intergovernmental Panel on Climate Change (IPCC) definition and using vulnerability index (VI). Research population included rural households of Shabestar region (N = 19,249) and about 347 households were selected as the research sample using multistage cluster sampling technique. Results showed that the average score of respondents was 0.455 (moderate) in exposure, 0.359 (moderate to low) in sensitivity, 0.404 (moderate to low) in adaptive capacity and finally, the vulnerability index (VI) was 0.470 (range of 0 to 1). 12.8% of households had low, 70.5% had medium and 16.7% had high vulnerability towards UL drying
Disciplines :
Agriculture & agronomy
Author, co-author :
Maleki, Rasoul
Nooripoor, Medhi
Azadi, Hossein
Lebailly, Philippe ; Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Modélisation et développement
Language :
English
Title :
Vulnerability Assessment of Rural Households to Urmia Lake Drying (the Case of Shabestar Region)
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Asem, A.; Eimanifar, A.; Djamali, M.; De los Rios, P.;Wink, M. Biodiversity of the hypersaline Urmia Lake national park (NW Iran). Diversity 2014, 6, 102-132
Faramarzi, N. Agricultural Water Use in Urmia Lake basin, Iran: An Approach to Adaptive Policies and Transition to Sustainable Irrigation Water Use. Ph. D. Thesis, Uppsala University, Uppsala, Sweden, 2012
Department of Environment and UNDP/GEF. Integrated Management Plan for Urmia Lake Basin, Prepared in Cooperation with Governmental Organizations, NGOs and Local Communities of Urmia Lake Basin. 2010 Available online: www.pg.undp.org/content/./LU%20Management%20Plan.pdf (accessed on 21 June 2010)
Department of Environment. Urmia Lake Challenges, Actions and the Way Forward. 2013. Available online: http://www.doe.ir/portal/theme/talab/0DB/8-PM/PMM/PROD/pm-pmm-re.pdf (accessed on 23 November 2013)
Esmaeili Dahesht, L.; Negarestan, H.; Eimanifar, A.; Mohebbi, F.; Ahmadi, R. The Fluctuations of Physicochemical Factors and Phytoplankton Populations of Urmia Lake, Iran. Iran. J. Fish. Sci. 2010, 9, 368-381
Eimanifar, A.; Mohebbi, F. Urmia lake (Northwest Iran): A brief review. Saline Syst. 2007, 3, 1
Moghaddasi, M.; Morid, S.; Delavar, M.; Hossaini Safa, H. Lake Urmia basin drought risk management: A trade-offbetween environment and agriculture. Irrig. Drain. 2017, 66, 439-450
Nazaridoust, A.A. Methodological Framework, Guidelines and DSS Model to Calculate the Minimal Ecosystem Water Requirements for Wetlands: A Case Study of the International Wetlands in the Lake Uromiyeh Basin; Science and Research Branch, Azad Islamic University: Teharn, Iran, 2006
Ahmadzadeh Kokya, A.; Pejman, A.H.; Mahin Abdollahzadeh, E.; Ahmadzadeh Kokya, B.; Nazariha, M. Evaluation of salt effects on some thermodynamic properties of Urmia Lake Water. Int. J. Environ. Res. 2011, 5, 343-348
Karbassi, A.; Nabi Bidhendi, G.; Pejman, A.H.; Bidhendi, M.E. Environmental impacts of desalination on the ecology of Urmia Lake. J. Great Lakes Res. 2011, 36, 419-424
UNEP. The Drying of Iran's Urmia Lake and Its Environmental Consequences. Global Environmental Alert Service. 2012. Available online: www.unep.org/geas (accessed on 8 February 2012)
Hamzehpour, N.; Eghbal, M.K.; Bogaret, P.; Toomanian, N. Top Soil Salinity Prediction in South-Western Part of Urmia LakeWith Ground Water Data. Int. J. Agric. Res. Innov. Technol. 2014, 4, 57-63
Sima, S.; Tajrishy, M. DevelopingWater Quality Maps of a Hyper-Saline Lake Using Spatial Interpolation Methods. Sci. Iran. A 2015, 22, 30-46
Sperber, W.H. Hazard identification: From a quantitative to a qualitative approach. Food Control 2001, 12, 223-228
Ropeik, D.; Gray, G. Risk: A Practical Guide for Deciding What's Really Safe and What's Really Dangerous in the World around You; Houghton Mifflin Harcourt: Boston, MA, USA, 2002; 485p
Wongbusarakum, S.; Loper, C. Indicators to Assess Community-Level Social Vulnerability to Climate Change: An Addendum to Socmon and Sem-Pasifika Regional Socioeconomic Monitoring Guidelines. 2011. Available online: www.socmon.org/download.ashx?docid=64623 (accessed on 30 April 2011)
Koh, J. Assessing Local Vulnerability to Climate Change and Its Implications: The Case of Gyeonggi-Do; Gyeonggi Research Institute: Suwon, Korea, 2010
Madu, I.A. Spatial vulnerability assessments of rural households to climate change in Nigeria: Towards evidence-based adaptation policies. In Proceedings of the Conference on the Human Dimensions of Global Environmental Change, Berlin, Germany, 5-6 October 2012
Nazrul Islam, A.K.M.; Deb, U.K.; Al Amin, M.; Jahan, N.; Ahmed, I.; Tabassum, S.; Ahamad, M.G.; Nabi, A.; Singh, N.P.; Byjesh, K.; et al. Vulnerability to Climate Change: Adaptation Strategies and Layers of Resilience-Quantifying Vulnerability to Climate Change in Bangladesh; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT): Patancheru, India, 2013
Monterroso, A.; Conde, C.; Gay, C.; Gómez, D.; López, J. Two methods to assess vulnerability to climate change in the Mexican agricultural sector. Mitig. Adapt. Strat. Global J. 2014, 19, 445-461
Murthy, C.S.; Laxman, B.; Sesha Sai, M.V.R. Geospatial analysis of agricultural drought vulnerability using a composite index based on exposure, sensitivity and adaptive capacity. IJDRR 2015, 12, 163-171
Inostroza, L.; Palme, M.; Barrera, F. A heat vulnerability index: Spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile. PLoS ONE 2016, 11, e0162464. Available online: http://journals. plos.org/plosone/article/file?id=10.1371/journal.pone.0162464&type=printable (accessed on 8 September 2016)
Senapati, S.; Gupta, V. Socio-economic vulnerability due to climate change: Deriving indicators for fishing communities in Mumbai. Mar. Policy 2017, 76, 90-97
Fatemi, M.; Karami, E. The impacts and causes of drought: A case study. Iran Agricultural Extension and Educ. J. 2011, 6, 77-97. (In Persian)
Keshavarz, M.; Karami, E.; Zamani, G. Drought vulnerability of farm households: A case study. Iran Agric. Ext. Educ. J. 2011, 6, 15-33
Bahram Soltani, K. Climatic Changes and Social, Economic and Environmental Consequences of Decreasing the Size and Drying of Urmia Lake. Sabz Press, 2011. Available online: http://isdle.ir/news/index.php? category=25 (accessed on 11 February 2012)
Maleki, R.; Nooripoor, M. Environmental Crisis in Urmia Lake Basin and Rural Households' Vulnerability. In Proceedings of the Second National Conference on Environmental Research, Hamedan, Iran, 7 August 2014
East Azarbaijan Province Governorate. Shabestar City. 2017. Available online: http://ostan-as.gov.ir/?PageID=79 (accessed on 6 March 2017)
Hung, H.C.; Liu, Y.C.; Chien, S.Y. Linking local vulnerability assessments to climatic hazard losses for river basin management. Nat. Hazards Earth Syst. Sci. 2016
Nurollahi, H.; Barzegar, A.; Evaz Abadian, F.; Soleimani, A.; Alikhani, A. Developing a new model for risk assessment, combining critical infrastructure studies and spatial planning criteria. J. Emerg. Manag. 2015, 48, 47-56
Chambers, R. Rural Development: Putting the Last First; Prentice Hall: Upper Saddle River, NJ, USA, 1983; 246p
Füssel, H.-M.; Klein, R.J. Climate change vulnerability assessments: An evolution of conceptual thinking. Clim. Chang. 2006, 75, 301-329
Liverman, D. Drought impacts in Mexico: Climate, agriculture, technology and land tenure in Sonora and Puebla. Ann. Assoc. Am. Geogr. 1990, 80, 49-72
Füssel, H.-M. Vulnerability: A generally applicable conceptual framework for climate change research. Glob. Environ. Chang. 2007, 17, 155-167
Adger, W.N.; Agrawala, S.; Mirza, M.M.Q.; Conde, C.; O'Brien, K.; Pulhin, J.; Pulwarty, R.; Smit, B.; Takahashi, K. Assessment of adaptation practices, options, constraints and capacity. In Climate Change. Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Parry, M.L., Canziani, O.F., Palutikof, J.P., Hanson, C.E., van der Linden, P.J., Eds.; Cambridge University Press: Cambridge, UK, 2007; pp. 717-743
Mendoza, M.E.; Dung The, B.; Naret, H.; Ballaran, V.G.; Arias, J.K. Assessing Vulnerability to Climate Change Impacts in Cambodia, the Philippines and Vietnam: An Analysis at the Commune and Household Level. J. Environ. Sci. Manag. 2014, 17, 78-91
Krejcie, R.V.; Morgan, D.W. Determining sample size for research activities. Educ. Psychol. Meas. 1970, 30, 607-610
Patton, M.L. Proposing Empirical Research: A Guide to the Fundamentals, 2nd ed.; Pyrczak Publishing: Los Angeles, CA, USA, 2002
Lawshe, C.H. A quantitative approach to content validity. Pers. Psychol. 1975, 28, 563-575
Yaghmaei, F. Content validity and its estimation. J. Med. Educ. 2003, 3, 25-27
Hogan, T.P.; Benjamin, A.; Brezinski, K.L. Reliability methods: A note on the frequency of use of various types. Educ. Psychol. Meas. 2000, 60, 523-531
Warrens, M.J. Some relationships between Cronbach's alpha and the Spearman-Brown formula. J. Classif. 2015, 32, 127-137
Bollen, K.A. Structural Equations with Latent Variables; John Wiley & Sons: New York, NY, USA, 1989
Cortina, J.M. What is Coefficient Alpha? An examination of theory and applications. J. Appl. Psychol. 1993, 78, 98-104
Green, S.B.; Hershberger, S.L. Correlated errors in true score models and their effect on Coefficient Alpha. Struct. Equ. Model. 2000, 7, 251-270
Bonett, D.G.;Wright, T.A. Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning. J. Organ. Behav. 2015, 36, 15
Kalantari, K. Planning and Regional Development (Theories and Techniques); Khoshbin Press: Tehran, Iran, 2008; 288p
Delin, L.; Yue, L. Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China. Nat. Hazards Earth Syst. Sci. 2016, 16, 1123-1134
Natural Resource Report. Thematic Accuracy Assessment Procedures. National Park Service Vegetation Inventory, Version 2.0; National Park Service U.S. Department of the Interior: Washington, DC, USA, 2010
Dupraz, Y. UsingWeights in Stata. 2013. Available online: http://www.parisschoolofeconomics.eu/docs/dupraz-yannick/using-weights-in-stata(1).pdf (accessed on 18 September 2013)
Abuodha, P.; Woodroffe, C. Assessing vulnerability to sea-level rise using a coastal sensitivity index: A case study from southeast Australia. J. Coast. Conserv. 2010, 14, 189-205
Haroon, S.; Purva, J. Assessment of socio-economic vulnerabilities among urban migrants in south-east Delhi, India. JSSSH 2014, 7, 65-81
Aryal, S.; Cockfield, G.; Maraseni, T.N. Vulnerability of Himalayan transhumant communities to climate change. Clim. Chang. 2014, 125, 193-208
Lie, Z.; Menzel, L. Identifying long-term variations in vegetation and climatic variables and their scale-dependent relationships: A case study in Southwest Germany. Glob. Planet. Chang. 2016, 147, 54-66
Menike, L.; Arachchi, K.K. Adaptation to Climate Change by Smallholder Farmers in Rural Communities: Evidence from Sri Lanka Procedia. Food Sci. 2016, 6, 288-292
Mahsafar, H.; Maknoon, R.; Saghafan, B. The impact of climate change on water level of Urmia Lake. Res. Mar. Sci. 2017, 83-94
Delju, A.H.; Piguet, E.; Rebetez, M. Observed climate variability and change in Urmia Lake Basin, Iran. Theor. Appl. Climatol. 2012
Nkondze, M.S.; Masuku, M.B.; Manyatsi, A. Factors affecting households vulnerability to climate change in Swaziland: A case of Mpolonjeni area development programme (ADP). J. Agric. Sci. 2013, 5, 108
Abdul-Razak, M.; Kruse, S. The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana. Clim. Risk Manag. 2017, 17, 104-122
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.