A review on social resilience models in the family farming system (Emphasis on increasing production in the face of climate change)

Document Type : Mini-Review


Department of Agricultural Extension and Education, Faculty of Agriculture, Razi University, Kermanshah, Iran


In recent years, one of the most important issues that many researchers have addressed is resilience to climate change. Today, most of the products and consumer goods of urban communities come from villages. These products are also produced by farmers, i.e. farming systems, so the farming system and especially the family farming system, which is the most common form of farming system, are of particular importance. Climate change is more focused on productive communities, i.e. villagers and farmers, and consequently the impacts of these climate changes are also felt in urban communities. Therefore, promoting resilience among all productive communities is crucial to improve the capacity of communities to cope with shocks and tensions in times of crisis and natural disasters. Among the various dimensions of resilience, the social dimension encompasses many other dimensions. In this paper, social resilience, climate change, family farming system, and resilience assessment models were studied using documentation methods. The results indicate that among the proposed frameworks and models, the S5 model is the most appropriate to measure social resilience because all dimensions of social resilience, including social structure, social capital, social mechanisms, social justice, and social beliefs, were carefully assessed in this model. Adaptability and compatibility with a particular context is a characteristic that has made the S5 model superior to other models.

Graphical Abstract

A review on social resilience models in the family farming system (Emphasis on increasing production in the face of climate change)


  • Farmers' performance is affected by the effects and consequences of climate change, including the family farming system.
  • Strengthening the spirit of social resilience can increase farmers' ability to withstand crises and natural disasters.
  • The results of studies conducted by researchers around the world have led to the emergence of models for measuring social resilience.
  • The results showed that the S5 is the most comprehensive model for measuring this type of resilience.


Main Subjects

Adger, W.N., Hughes, T.P., Folke, C., Carpenter, S.R., Rockstrom, J., 2005. Social-ecological resilience to coastal disasters. Science, 309(5737), 1036-1039.
CrossRef    Google Scholar    full-text PDF    Mendeley       
Berkes, F., Ross, H., 2013. Community resilience: toward an integrated approach. Soc. Nat. Resour., 26(1), 5-20.
Boon, H.J., Cottrell, A., King, D., Stevenson, R.B., Millar, J., 2012. Bronfenbrenner’s bioecological theory for modelling community resilience to natural disasters. Nat. Hazards, 60(2), 381-408.
Boxer, P., Sloan-Power, E., 2013. Coping with violence: A comprehensive framework and implications for understanding resilience. Trauma Violence Abuse, 14(3), pp.209-221.
CrossRef    Google Scholar    full-text PDF    Mendeley    PubMed    PubMed Central   
Cutter, S.L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., Webb, J., 2008. A place-based model for understanding community resilience to natural disasters. Global Environ. Change, 18(4), 598-606.
Klein, R.J., Nicholls, R.J., Thomalla, F., 2003. Resilience to natural hazards: How useful is this concept?. Global Environ. Change Part B: Environ. Hazards, 5(1), 35-45.
Maguire, B., Hagan, P., 2007. Disasters and communities: understanding social resilience. Aust. J. Emerg. Manag., 22(2), 16-20.
Mayunga, J.S., 2007. Understanding and applying the concept of community disaster resilience: a capital-based approach. Summer Acad. Soc. Vulner. Resil. Build., 1(1), 1-16.
Pashnezhad Sielab, E., Rafieyan, M., Pourtaheri, M., 2017. Spatial Assessment of the Relationship between Environmental Vulnerability and Rural Community Resilience in East-Azerbaijan Province. J. Res. Rural Plan., 6(2), 93-107.
CrossRef    Google Scholar    full-text PDF    Mendeley