Investigating the perceptions of Lake Urmia drying risk in changing the patterns of rural behavior Case study: villages of the eastern side of the Lake Urmia

Authors

University of Tabriz

Abstract

The perceived risk of villagers against drought can be seen in their mental judgment regarding the degree of drought risk and the change in their unconstructive behaviors. Due to the devastating effects on rural communities, drying of Lake Urmia requires understanding of the behaviors and reactions of villagers in order to increase their susceptibility to drought. The purpose of this study was to investigate the role of drought risk perception of Urmia Lake in changing the behavior of villagers. For this purpose, a combination of personal and social psychology was used. The research method was descriptive-analytic. For analyzing the conceptual model and the experimental model, the path analysis method was used. From 83 villages located 30 km from the east coast of Lake Urmia, random sampling method was used to select 43 villages as sample size. The validity of the questionnaire was confirmed by experts and the reliability of the questionnaire was 0.88-0.95 using Cronbach's alpha formula. The findings of the study showed that the level of risk perception was higher than the median with a theoretical mean (7> 4.87>1). The results of the path analysis method on the dependent variable of practical risk reduction behaviors showed that varieties of drought-resistant agricultural product selection, knowledge and skills, income, age, length of stay, participation in training programs, renovation and improvement of irrigation canals on behaviors Drastic risk reduction measures have a direct effect. Also, the results of path analysis on the dependent variable of intention to reduce risk behaviors in the future showed that drought-tolerant crop varieties, self-efficacy, age, education level, trust, previous experience of risk and accountability had positive effect and variables of optimistic bias, income and age The variables of risk perception have had a negative effect. Also, in the study of indirect effects through the medium of risk perception, two variables of beliefs and income are influenced by influencing the variable on the intention and intention of reducing the risk of drought risk.

Keywords


  1. خوشفر، غلامرضا؛ صالحی، صادق؛ وصال، زینب و عباس­زاده، محمدرضا (بهار 1394): «بررسی عوامل اجتماعی مؤثر بر آگاهی‌های زیست‌محیطی روستاییان (مطالعه موردی: دهستان جاغرق شهرستان بینالود)»، فصلنامه پژوهش­های روستایی، سال ششم، شماره 1، تهران 158-137.
  2. رکن­الدین افتخاری، عبدالرضا؛ موسوی، سید محمد؛ پورطاهری، مهدی و فرج زاده اصل، منوچهر (پاییز 1393):  «تحلیل نقش تنوع معیشتی در تاب‌آوری خانوارهای روستایی در شرایط خشکسالی مطالعة موردی: مناطق در معرض خشکسالی استان اصفهان»، فصلنامه پژوهش­های روستایی، سال پنجم، شماره 3، تهران 662-639.
  3. مجنونی توتاخانه، علی؛ حیدری ساربان، وکیل؛ مفرح بناب و مجتبی (زمستان 1396): «بررسی اثرات خشکسالی دریاچه ارومیه بر تغییرات تاب آوری سکونت گاه های روستایی»، فصلنامه پژوهش و برنامه­ریزی روستایی، سال 4، شماره 20، مشهد 89-65.
  1. AghaKouchak, A., Norouzi, H., Madani, K., Mirchi, A., Azarderakhsh, M., Nazemi, A., Hasanzadeh, E.., (2015): ARAL SEA SYNDROME DESICCATES LAKE URMIA: CALL FOR ACTION, Journal of Great Lakes Research, 41(1), pp: 307-311.
  2. Botterill, L. C., M. J. Hayes., (2012): DROUGHT TRIGGERS AND DECLARATIONS: SCIENCE AND POLICY CONSIDERATIONS FOR DROUGHT RISK MANAGEMENT, Natural hazards, 64(1), pp: 139-151.
  3. Bubeck, P., Botzen, W. J., & Aerts, J. C. (2012): A REVIEW OF RISK PERCEPTIONS AND OTHER FACTORS THAT INFLUENCE FLOOD MITIGATION BEHAVIOR, Risk Analysis, 32(9), pp: 1481-1495.
  4. Chai, Y., Ta, N., & Ma, J. (2016): THE SOCIO-SPATIAL DIMENSION OF BEHAVIOR ANALYSIS: FRONTIERS AND PROGRESS IN CHINESE BEHAVIORAL GEOGRAPHY, Journal of Geographical Sciences, 26(8), pp: 1243-1260.
  5. Checker, V. G., A. K. Chhibbar and P. Khurana (2012): STRESS-INDUCIBLE EXPRESSION OF BARLEY HVA1 GENE IN TRANSGENIC MULBERRY DISPLAYS ENHANCED TOLERANCE AGAINST DROUGHT, SALINITY AND COLD STRESS." Transgenic research, 21(5), pp: 939-957.
  6. Chizari, M, (2013): ASSESSMENT EFFECTIVE FACTOR ON KIND OF WHEAT FARM MANAGEMENT IN GROUGHT SITUATION FOR VARAMIN PROVINCE,” 3TH CONFERENCE OF AGRICULTURAL EXTENSION AN EDUCATION, Iran, 5(8), pp: 107-118.
  7. Coelho, C. A., C. P. de Oliveira, T. Ambrizzi, M. S. Reboita, C. B. Carpenedo, J. L. P. S. Campos, A. C. N. Tomaziello, L. A. Pampuch, M. de Souza Custódio and L. M. M. Dutra (2016): THE 2016 SOUTHEAST BRAZIL AUSTRAL SUMMER DROUGHT: REGIONAL SCALE MECHANISMS AND TELECONNECTIONS, Climate Dynamics, Vol. 46, No. 11-12, pp: 3737-3752.
  8. Cox, K. R. and R. Golledge., (2015): Behavioral problems in geography revisited, Routledge.
  9. Douglas, M., and A. Wildavsky., (1982): Risk and culture: An essay on the selection of technological and environmental dangers. Berkeley and Los Angeles, Univ. of California Press.
  10. Gold, M, (2015): DISCOURSES ON THE REVOLUTION. PEOPLE AND STATE IN SOCIALIST CUBA, Springer, 11(12), pp: 91-121.
  11. Kakumanu, A., M. M. Ambavaram, C. Klumas, A. Krishnan, U. Batlang, E. Myers, R. Grene and A. Pereira (2012): EFFECTS OF DROUGHT ON GENE EXPRESSION IN MAIZE REPRODUCTIVE AND LEAF MERISTEM TISSUE REVEALED BY RNA-SEQ." Plant Physiology, 160(2), pp: 846-867.
  12. Maracchi, G, (2000): AGRICULTURAL DROUGHT—A PRACTICAL APPROACH TO DEFINITION, ASSESSMENT AND MITIGATION STRATEGIES. DROUGHT AND DROUGHT MITIGATION IN EUROPE, Springer, pp. 63-75.
  13. Martin, I. M., Bender; H., Raish, C., (2007): WHAT MOTIVATES INDIVIDUALS TO PROTECT THEMSELVES FROM RISKS? THE CASE OF WILDLAND FIRES. Risk Analysis, 27(4), pp: 887-900.
  14. Mayhew, S., (2015): A dictionary of geography, Oxford University Press, USA.
  15. McDowell, N. G., R. A. Fisher, C. Xu, J. Domec, T. Hölttä, D. S. Mackay, J. S. Sperry, A. Boutz, L. Dickman and N. Gehr (2013): EVALUATING THEORIES OF DROUGHTINDUCED VEGETATION MORTALITY USING A MULTIMODEL–EXPERIMENT FRAMEWORK. New Phytologist, 200(2), pp: 304-321.
  16. McWilliam, J, (1986): THE NATIONAL AND INTERNATIONAL IMPORTANCE OF DROUGHT AND SALINITY EFFECTS ON AGRICULTURAL PRODUCTION." Functional Plant Biology, 13(1), pp: 1-13.
  17. Slovic, P., Fischhoff, B., & Lichtenstein, S., (1979): RATING THE RISKS. Environment, 21(3), pp: 14-20.
  18. Van der Linden, S, (2015): THE SOCIAL-PSYCHOLOGICAL DETERMINANTS OF CLIMATE CHANGE RISK PERCEPTIONS: TOWARDS A COMPREHENSIVE MODEL. Journal of Environmental Psychology, No. 41, pp: 112-124.
  19. Voors, M. J., Nillesen, E. E., Verwimp, P., Bulte, E. H., Lensink, R., & Van Soest, D. P. (2012): VIOLENT CONFLICT AND BEHAVIOR: A FIELD EXPERIMENT IN BURUNDI. The American Economic Review, 102(2), pp: 941-964.
  20. Wang, J., Yang, Y., Huang, J., & Chen, K. (2015): INFORMATION PROVISION, POLICY SUPPORT, AND FARMERS’ ADAPTIVE RESPONSES AGAINST DROUGHT: AN EMPIRICAL STUDY IN THE NORTH CHINA PLAIN, Ecological Modelling, 318(1), pp: 275-
  21. Ward, P. S., V. Singh. (2015): USING FIELD EXPERIMENTS TO ELICIT RISK AND AMBIGUITY PREFERENCES: BEHAVIOURAL FACTORS AND THE ADOPTION OF NEW AGRICULTURAL TECHNOLOGIES IN RURAL INDIA." The Journal of Development Studies, 51(6), pp: 707-724.
  22. Zhu, D., Xie, X., Gan, Y., (2011): INFORMATION SOURCE AND VALENCE: HOW INFORMATION CREDIBILTY INFLUENCES EARTHQUAKE RISK PERCEPTION. Journal of Environmental Psychology, No. 31, pp: 129-136.