Adaptive capacity; participatory water resources management; social network analysis; social-ecological system; structural equation model; Development; Environmental Science (miscellaneous); Sociology and Political Science
Abstract :
[en] This study aims at exploring ways of increasing adaptive capacity and reducing vulnerability of farmers in the face of water scarcity through establishing a link between social network indicators and the dimensions of adaptive capacity. For this purpose, a Social Network Analysis (SNA) model along with a Structural Equation Model was developed to investigate the effects of SNA indices on the dimensions influencing the adaptive capacity of the water users in rural areas in the west of Iran. The developed model links participation in production and knowledge exchange with ten critical dimensions identified to affect the adaptive capacities of water resources users. The results indicated that the most important subdimensions affecting adaptive capacity were governance, innovation, and awareness. Also, the positive effects of individual and whole network level of indices on the adaptive capacity indicated high coherence in the study area and the ability of people to develop social learning to improve the adaptive capacity.
Disciplines :
Agriculture & agronomy
Author, co-author :
Afkhami, Maryam; School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
Ghorbani, Mehdi ; Faculty of Natural Resources, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
Zahraie, Banafsheh; School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Department of Geography, Ghent University, Ghent, Belgium ; Research Group Climate Change and Security, Institute of Geography, University of Hamburg, Hamburg, Germany ; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Language :
English
Title :
Role of Social Network Measurements in Improving Adaptive Capacity: The Case of Agricultural Water Users in Rural Areas of Western Iran
Ashtiani, M., A. Salehzadeh-Yazdi, Z. Razaghi-Moghadam, H. Hennig, O. Wolkenhauer, M. Mirzaie, and M. Jafari. 2018. A systematic survey of centrality measures for protein-protein interaction networks. BMC Systems Biology 12 (1): 80. doi: 10.1186/s12918-018-0598-2.
Atanga, R. A. 2020. The role of local community leaders in flood disaster risk management strategy making in Accra. International Journal of Disaster Risk Reduction 43: 101358. doi: 10.1016/j.ijdrr.2019.101358.
Basati, H., A. Poursaeid, M. S. Allahyari, R. E. Samani, and H. Chaharsoqi Amin. 2020. Social network analysis of local water user associations’ actors: Evidence from Iran. Meteorology Hydrology and Water Management 8 (1): 90–7.
Barnes-Mauthe, M., S. A. Gray, S. Arita, J. Lynham, and P. S. Leung. 2015. What Determines Social Capital in a social-ecological system? Insights from a network perspective. Environmental Management 55 (2): 392–410. doi: 10.1007/s00267-014-0395-7.
Bloodgood, J. M., J. S. Hornsby, M. Rutherford, and R. G. McFarland. 2017. The role of network density and betweenness centrality in diffusing new venture legitimacy: An epidemiological approach. International Entrepreneurship and Management Journal 13 (2): 525–52. doi: 10.1007/s11365-016-0412-9.
Bodin, Ö., and B. I. Crona. 2009. The role of social networks in natural resource governance: What relational patterns make a difference? Global Environmental Change 19 (3): 366–74. doi: 10.1016/j.gloenvcha.2009.05.002.
Bodin, Ö., and C. Prell. 2011. Social networks and natural resource management: Uncovering the social fabric of environmental governance. Cambridge, UK, PA: Cambridge University Press.
Borg, R., A. Toikka, and E. Primmer. 2015. Social capital and governance: A social network analysis of forest biodiversity collaboration in Central Finland. Forest Policy and Economics 50: 90–7. doi: 10.1016/j.forpol.2014.06.008.
Bureš, V., and F. Rácz. 2017. Identification of sustainability key factors based on capturing dominant feedbacks of behavioural stereotypes in socio-economic systems. Systems 5 (2): 42. doi: 10.3390/systems5020042.
Cai, B., L. Zeng, Y. Wang, H. Li, and Y. Hu. 2019. Community detection method based on node density, degree centrality, and K-means clustering in complex network. Entropy 21 (1145): 1–16.
Can, U., and B. Alatas. 2019. A new direction in social network analysis: Online social network analysis problems and applications. Physica A: Statistical Mechanics and its Applications 535: 1–38.
Carlsson, L., and F. Berkes. 2005. Co-management: Concepts and methodological implications. Environmental Management 75 (1): 65–76.
Chaudhury, A. S., T. F. Thornton, A. Helfgott, M. J. Ventresca, and C. Sova. 2017. Ties that bind: Local networks, communities and adaptive capacity in rural Ghana. Journal of Rural Studies 53: 214–28. doi: 10.1016/j.jrurstud.2017.05.010.
Cubitt, T. 2018. 5 Network density among urban families. In Network Analysis, ed. J. Boissevain, 67–82. Berlin, Boston: De Gruyter Mouton.
Dapilah, F., J. Ø. Nielsen, and C. Friis. 2020. The role of social networks in building adaptive capacity and resilience to climate change: a case study from northern Ghana. Climate and Development 12 (1): 42–56. doi: 10.1080/17565529.2019.1596063.
Ellis, F. 2000. Rural livelihoods and diversity in developing countries. Oxford, UK, PA: Oxford University Press.
Ensor, J., and B. Harvey. 2015. Social learning and climate change adaptation: Evidence for international development practice. WIREs Climate Change 6 (5): 509–22. doi: 10.1002/wcc.348.
Folke, C., S. Carpenter, T. Elmqvist, L. Gunderson, C. S. Holling, and B. Walker. 2002. Resilience and sustainable development: Building adaptive capacity in a world of transformations. Ambio 31 (5): 437–40. doi: 10.1579/0044-7447-31.5.437.
Folke, C., T. Hahn, P. Olsson, and J. Norberg. 2005. Adaptive Governance of Social-Ecological Systems. Annual Review of Environment and Resources 30 (1): 441–73. doi: 10.1146/annurev.energy.30.050504.144511.
Freeman, L. C. 2004. The development of social network analysis. Vancouver, BC, Canada, PA: Empirical Press.
Ghorbani, M., and H. Azadi. 2021. A social-relational approach for analyzing trust and collaboration networks as pre-conditions for Rangeland Co. Rangeland Ecology & Management 75: 170–84. doi: 10.1016/j.rama.2020.10.008.
Hanneman, R. A., and M. Riddle. 2005. Introduction to social network methods. California, USA, PA: University of California Riverside.
Hermans, K., and L. Garbe. 2019. Droughts, livelihoods, and human migration in northern Ethiopia. Regional Environmental Change 19 (4): 1101–11. doi: 10.1007/s10113-019-01473-z.
Ivey, J. L., J. Smithers, R. C. Loe, and R. D. Kreutzwiser. 2004. Community capacity for adaptation to climate-induced water shortages: Linking institutional complexity and local actors. Environmental Management 33 (1): 36–47. doi: 10.1007/s00267-003-0014-5.
Jamshidi, O., A. Asadi, K. Kalantari, S. Movahhed Moghaddam, F. Dadrass Javan, H. Azadi, S. Van Passel, and F. Witlox. 2020. Adaptive capacity of smallholder farmers toward climate change: evidence from Hamadan province in Iran. Climate and Development 12 (10): 923–33. doi: 10.1080/17565529.2019.1710097.
Jaja, J., J. Dawson, and J. Gaudet. 2017. Using social network analysis to examine the role that institutional integration plays in community-based adaptive capacity to climate change in Caribbean small island communities. Local Environment 22 (4): 424–42. doi: 10.1080/13549839.2016.1213711.
Krupa, M., M. Cenek, J. Powell, and E. J. Trammell. 2018. Mapping the rural stakeholders: Using social network analysis to increase the legitimacy and transparency of participatory scenario planning. Society & Natural Resources 31 (1): 136–41. doi: 10.1080/08941920.2017.1376140.
Lienert, J., F. Schnetzer, and K. Ingold. 2013. Stakeholder analysis combined with social network analysis provides fine-grained insights into water infrastructure planning processes. Journal of Environmental Management 125: 134–48. doi: 10.1016/j.jenvman.2013.03.052.
Lockwood, M., C. Raymond, E. Oczkowski, and M. Morrison. 2015. Measuring the dimensions of adaptive capacity: A psychometric approach. Ecology and Society 20 (1): 37. doi: 10.5751/ES-07203-200137.
Moghadam, E. K., M. Sharifi, S. Rafiee, and Y. K. Chang. 2019. Time–cost–quality trade-off in a broiler production project using meta-heuristic algorithms: A case study. Agriculture 10 (1): 3. doi: 10.3390/agriculture10010003.
Oyinlola, M. A., A. A. Adedeji, M. O. Bolarinwa, and N. Olabisi. 2020. Governance, domestic resource mobilization, and inclusive growth in sub-Saharan Africa. Economic Analysis and Policy 65: 68–88. doi: 10.1016/j.eap.2019.11.006.
Özerol, G., H. Bressers, and F. Coenen. 2012. Irrigated agriculture and environmental sustainability: an alignment perspective. Environmental Science & Policy 23: 57–67. doi: 10.1016/j.envsci.2012.07.015.
Pahl-Wostl, C. 2009. A conceptual framework for analysing adaptive capacity and multi-level learning processes in resource governance regimes. Global Environmental Change 19 (3): 354–65. doi: 10.1016/j.gloenvcha.2009.06.001.
Parizadi, T., H. Ghadermarzi, and P. Parsa. 2016. Stability analysis of Boroujerd city in comparison with urban areas of the country. Journal of Applied Research in Geographical Sciences 16 (41): 7–10.
Pretty, J., and H. Ward. 2001. Social capital and the environment. World Development 29 (2): 209–27. doi: 10.1016/S0305-750X(00)00098-X.
Phuong, L. T., G. R. Biesbroek, and A. E. Wals. 2017. The interplay between social learning and adaptive capacity in climate change adaptation: A systematic review. Wageningen Journal of Life Sciences 82 (1): 1–9. doi: 10.1016/j.njas.2017.05.001.
Raymond, C. M., and J. Cleary. 2013. A tool and process that facilitate community capacity building and social learning for natural resource management. Ecology and Society 18 (1):25. doi: 10.5751/ES-05238-180125.
Rotberg, R. 2010. When states fail: Causes and consequences. Oxford, PA: Princeton University Press.
Samantray, A., and M. Riccaboni. 2020. Peer influence of production and consumption behaviour in an online social network of collective learning. Social Networks and Media 18: 1–23.
Serrat, O. 2017. The sustainable livelihoods approach. In: Knowledge Solutions. Singapore, PA: Springer.
Scholz, R. W., and C. R. Binder. 2011. Environmental literacy in science and society: From knowledge to decisions. Cambridge, UK, PA: Cambridge University Press.
Smith, J. M., D. S. Halgin, V. Kidwell-Lopez, G. Labianca, D. J. Brass, and S. P. Borgatti. 2014. Power in politically charged networks. Social Networks 36: 162–76. doi: 10.1016/j.socnet.2013.04.007.
Sørensen, E., and J. Torfing. 2007. Introduction governance network research: Towards a second generation. In Theories of democratic network governance, ed. E. Sørensen and J. Torfing. London, PA: Palgrave Macmillan.
Statistical Center of Iran. 2016. Census report 2016. Statistics by topic. Iran, PA: Statistical Center.
Sun, J., X. Chen, and S. Zhang. 2017. A review of research evidence on the antecedents of transformational leadership. Education Sciences 7 (1): 15. doi: 10.3390/educsci7010015.
Swanson, D., J. Hiley, H. D. Venema, and R. Grosshans. 2007. Indicators of adaptive capacity to climate change for agriculture in the Prairie region of Canada. International Institute for sustainable development. Canada, PA: Winnipeg.
Talaiekhozani, A., M. Dokhani, A. A. Dehkordi, Z. Eskandari, and S. Rezania. 2018. Evaluation of emission inventory for the emitted pollutants from landfill of Borujerd and modeling of dispersion in the atmosphere. Urban Climate 25: 82–98. doi: 10.1016/j.uclim.2018.05.005.
Tan, J., H. Zhang, and L. Wang. 2015. Network closure or structural hole? The conditioning effects of network‐level social capital on innovation performance. Entrepreneurship Theory and Practice 39 (5): 1189–212. doi: 10.1111/etap.12102.
Tapoglou, E., I. C. Trichakis, Z. Dokou, I. K. Nikolos, and G. P. Karatzas. 2014. Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization. Hydrological Sciences Journal 59 (6): 1225–39. doi: 10.1080/02626667.2013.838005.
Tran, T. A., H. James, and D. K. Nhan. 2020. Effects of social learning on rural farmers’ adaptive capacity: empirical insights from the Vietnamese Mekong Delta. Society & Natural Resources 33 (9): 1053–72. doi: 10.1080/08941920.2019.1693677.
Wahid, K. A., W. S. A. Ismail, and H. Numprasertchai. 2019. The role of social media in collective learning. International Journal of Innovation and Learning 25 (4): 363–76. doi: 10.1504/IJIL.2019.099981.
Williams, C., A. Fenton, and S. Huq. 2015. Knowledge and adaptive capacity. Nature Climate Change 5 (2): 82–3. doi: 10.1038/nclimate2476.
Zhang, Y. C., Y. Chen, and Y. Chen. 2019. Effect of rice protein on the water mobility, water migration and microstructure of rice starch during retro gradation. Food Hydrocolloids. 91: 136–42. doi: 10.1016/j.foodhyd.2019.01.015.
