Sustainable Aquaculture System: Institutional Scientific Collaboration Network in Alborz Watershed, Iran

Authors
1 Department of Agricultural Extension and Education, Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
2 Department of Agricultural Extension and Education, College of Agriculture, University of Tehran, Karaj, Islamic Republic of Iran.
Abstract
The current research aimed to explore application of social network theory toward sustainable aquaculture system through Institutional Scientific Collaboration Network study conducted by interviews with key informants and follow-up organizational surveys at Alborz Watershed scale. The study was descriptive and explanatory, using social network analysis as a most analytical tool to systematically describe certain aspects of the social diversity and complexity of institutional scientific collaboration network. The needed data for social network analysis related to scientific collaborations in the form of research and scientific consulting, technical support, and implementation of joint project networks and was collected through a questionnaire. Research results revealed that the number of central actors in research and scientific consulting network was less than the other two networks. In this study, some powerful organizations such as the Institute of Ecology of the Caspian Sea and Shahid Rajai and Shahid Bahonar Reproduction Center had satisfactory research and scientific consultancy cooperation, as well as technical support for joint projects with other organizations, such as the Provincial Department of Fisheries, and Research Center for Agriculture and Natural Resources, which reflected dynamics of the organizations in the network. These three organizations can play a key role in the distribution of information, knowledge, and inter-sectoral cooperation among different institutions and can take responsibility of this process. If so, these organizations can develop a sustainable aquaculture in the basin of the Alborz Dam, based on scientific principles and in an interactive and dynamic path and, consequently, activate the implementation of projects and conducting scientific and executive studies by these organizations within the network. Although the approach is developed and tested using empirical social network data in the basin of Alborz watershed, the results can generally be useful for other regions and scales as well. Also, research finding could help in improving sustainable management through strengthening of intuitional scientific collaboration network and providing better understanding of the scientific needs and real interactions of diverse actors.

Keywords

Subjects


1. Bijani, M., Ghazani, E., Valizadeh, N. and Fallah Haghighi, N. 2017. Pro-Environmental Analysis of Farmers' Concerns and Behaviors towards Soil Conservation in Central District of Sari County, Iran. Int. Soil. Water Conserv. Res, 5(1): 43-49.
2. Bodin, Ö. and Crona, B. I. 2009. The Role of Social Networks in Natural Resource Governance: What Relational Patterns Make A Difference? Glob. Environ. Change, 19: 366-374.
3. Borgatti, S. P., Everett, M. G. and Freeman, L. C. 2002. UCINET for Windows: Software for Social Network Analysis. Analytic Technologies, Harvard, MA.
4. Borgatti, S. P. and Everett, M. G. 1999. Models of Core/Periphery Structures. Soc. Networks, 21; 375-395.
5. Boyd, D.E., Tucker, C., McNevin, A., Bostick, K. and Clay, J. 2007. Indicators of Resource Use Efficiency and Environmental Performance in Fish and Crustacean Aquaculture. Rev. Fish. Sci., 15(3): 327–360.
6. Carolan, B.V. 2013. Social Network Analysis and Education: Theory, Methods and Applications. Sage Publications, Thousand Oaks.
7. Choobchian, Sh., Kalantari, K., Asadi, A. and Taghavi Motlagh, S. A. 2015. Measurement and Comparison of Different Dimensions of Sustainable Coastal Fishing Management in Beach Seine Cooperatives in Guilan. J. Agr. Sci. Tech., 17: 1463-1472
8. Crona, B. and Bodin, Ö. 2010. Power A Symmetries in Small-Scale Fisheries—A Barrier to Governance Transformability? Ecol. Soc. 15:32.
9. Edwards, P. 2015. Aquaculture Environment Interaction: Past, Present and Likely Future Trends. Aquaculture, 447: 2-14.
10. Folke, C., Hahn, T., Olsson, P. and Norberg, J. 2005. Adaptive Governance of Social-Ecological Systems. Ann. Rev. Environ. Resources, 30, 441-473.
11. Freeman,L.C. 1979. Centrality in Social Networks: Conceptual Clarification. Soc. Net w, 1: 215–239.
12. Ghorbani, M and Deh Bozorgi, M. 2014. Stakeholder Analysis, Social Power and Network Analysis in Participatory Management in Natural Resources. J. Natur. Res., 67(1): 149-157.
13. Ghorbani, M., Azarnivand, H., Mehrabi, A.A., Bastani, S., Jafari, M. and Nayebi, H. 2013. Social Network Analysis: A New Approach In Policy-Making And Planning Of Natural Resources Comanagement. J. Natur. Res. 65(4): 553-568.
14. Hanneman R. A. and Riddle, M. 2005. Introduction to Social Network Methods, Department of Sociology at the University of California, Riverside.
15. Hoseini, S. M. and Rezaei. A. 2013. Developing an Information System for Sustainable Natural Resource Management in Alborz Watershed, Northern Iran. Syst. Pract. Action Res., 26: 131-152.
16. Hubert, L. 1987. Assignment Methods in Combinatorial Data Analysis. Statistics: Textbooks and Monographs Series, vol 73. Marcel Dekker, New York.
17. Iranian Fisheries Organization. 2011. Statistical Yearbook. Planning and Development Management, Tehran, Iran.
18. Iranian Ministry of Agriculture. 2004. Alborz Integrated Land and Water Management Project. http://www.ailwmp.ir/en/home_en.htm
19. Jafarian, H. 2008. Sustainable Aquaculture Development by Using Probiotics in Iran. Fish. J., 2(4).
20. Krackhardt, D. 1987. QAP Partialling as a Test of Spuriousness. Soc. Net. 9:171–186.
21. Latapy, M., Magnien, C. and Del Vecchio, N. 2008. Basic Notions for the Analysis of Large Two-Mode Networks. Soc. Networks, 30: 31–48.
22. Marsden, P. V. 1990. Network Data and Measurement. Ann. Rev. Sociol., 16: 435- 463.
23. Prell, C., Hubacek, K. and Reed, M. 2009. Stakeholder Analysis and Social Network Analysis in Natural Resource Management. Soc. Natural Resour., 22:501–518.
24. Rezaei, A., Hoseini, S. M. and Asadi, A. 2015. Analysis of Information Exchange Cooperation Network among Organizations for Sustainable Management of Natural Resources in Alborz Watershed in Mazandaran Province. J. Natur. Res., 68(1): 65-79.
25. Roldán V., A., Villasante, S. and Outeiro, L. 2015. Linking Marine and Terrestrial Ecosystem Services Through Governance Social Networks Analysis in Central Patagonia (Argentina). Ecosys. Servic. 16: 390-402.
26. Sabzali Parikhani, R., Sadighi, H. and Bijani, M. 2018. Ecological Consequences of Nanotechnology in Agriculture: Researchers’ Perspective. J. Agr. Sci. Tech., 20(2): 205-219.
27. Salehi, S., Chizari, M., Sadighi, H.and Bijani, M. 2018. Assessment of Agricultural Groundwater Users in Iran: A Cultural Environmental Bias. Hydro. J., 26(1): 285-295.
28. Sandstorm, A. and Carlsson, L. 2008. The Performance of Policy Networks: The Relation between Network Structure and Network Performance. Policy Stud. J., 36(4):497 – 525.
29. Sandström, A. and Rova, C. 2010. Adaptive Co-Management Networks: A Comparative Analysis of Two Fishery Conservation Areas in Sweden. Ecol. Soc., 15 (3): 14.
30. Scott J. 2003. Social Network Analysis: A Handbook. 2nd Edition, Sage, London
31. Stein, C., Ernstson, H. and Barron, J. 2011. A Social Network Approach to Analyzing Water Governance: The Case of the Mkindo Catchment, Tanzania. Phys. Chem. Earth, 36(3): 1085-1092.
32. Ting, K.H., Kun-Lung, L., Hao-Tang, J., Teng-Jeng, H., Chi-Ming, W. and Wen-Hong, L. 2015. Application of a Sustainable Fisheries Development Indicator System for Taiwan’s Aquaculture Industry. Aquaculture, 437(15): 398–407.
33. Weiss, K. Hamann, M., Kinney, M. and Marsh, H. 2012. Knowledge Exchange and Policy Influence in a Marine Resource Governance Network. Glob. Environ. Change, 22(4): 178-188.