Never ever in the annals of human civilization, the importance of ecological resilience has become so important and imperative as we are perceiving now. Both the need and greed of food economics have driven the resource bases of our ecosystem, to a dilapidated and fragile status. By 2050 the world’s population will touch close to 9.5 billion and we have to scale up our food production 60% more over what it is right now. In India by 2040, we have to cross 450 million tonnes of our targeted food production to keep rhythm with population growth. By 2035 we are going to cross the population of China. When population pressure is soaring up, the need to produce more food from less and less available land and water, the issues of ecological resilience are coming up more swashbuckling and humongous. The aftermath of green revolution has contributed to achievement in food security on one hand, the other hand water has been contaminated and depleted, soil has been eroded with a sharp decline of organic carbon. We are losing 15 tonnes of topsoil per hectare per year and inviting a disruptive agro-ecosystem, the syndrome of which are quite vivid and prominent. The factors of social ecology are isochronously emerging as the strongest determinant to drive and sustain our agro-ecology as functioning and productive as its desire services to expect. The socio-ecological factors like income, yield, wage, marketability, value addition, nutritional security are organically linked to the ecological behaviour of the crop production. The dwindling of holding size and its subsequent disintegration vis-à-vis fragmentation has made the situation further complicated and unmanageable. The uncertainty of the entire agro-ecological functioning associated with non-supportive social function offer complications and barriers to restore and retain ecological resilience. For the Indian farming Diaspora, almost everything sounds uncertain and unpredictable, especially for the small and tiny farmers with just a paltry of coping ability. Uncertainty is basically a perception and intuitive interpretation in a response to the surrounding plethora of stimuli. So, there is a research need to go across the terrains of risk and uncertainty perception of farmers and devise a dependable instrument for its empirical measurement.

1.1. Background Once this beautiful planet conceived human civilization with the glory of motherhood, the birds kept on twittering in an ecstasy of joy and freedom; the ripples of pristine rivers, blue and giggling, offered shelter to silvery fishes and pink Amazon Lilies! But human greed has defeated its own needs. So, what had been a means to survive now has turned into tools to triumph, rather, a weapon to destroy her own creation. By this time, we have transformed fertile lands into a barren Arizona, deep forests into a nasty slums and blue rivers into a filthy stream, called Yamuna. The advent of the Anthropocene, implies that an unprecedented era of human impact on the natural environment, is now so large that the Earth has entered a new geological epoch; it is leaving the Holocene, the environment within which human societies themselves have developed (Gornish and dos Santos, 2016; Reynolds, 2021). Climate change is a prominent sign of human- driven changes to the global environment. There is every reason to be alarmed about anthropogenic climate change, pollution, and biodiversity loss, all of which have been accelerating in recent decades and do pose “existential crisis” (Díaz et al., 2020; Abhilash et al., 2021). Sixth Assessment Report of Intergovernmental Panel on Climate Change (IPCC) released on February 28, 2022, paints a troubling picture as limiting global warming to 1.5oC (a global target in the Paris Climate Agreement) is not safe for all. If warming exceeds 1.5oC, even temporarily, much more severe, often irreversible effects of climate change will occur, land and ocean temperature change, sea level rise and ocean acidification, loss of Arctic Sea ice and ice sheets, stronger storms, longer heatwaves and droughts, abrupt precipitation mainly intensity and seasonal distribution, thawing permafrost and more (IPCC, 2013). On the basis of the Sixth Assessment UN Secretary-General António Guterres said “The alarm bells are deafening, and the evidence is irrefutable: greenhouse gas emissions from fossil fuel burning and deforestation are choking our planet and putting billions of people at immediate risk.” According to the United Nations (2015), there are still 836 million people in the world living in extreme poverty (less than USD,1.25/ day). And according to the International Fund for Agricultural Development (IFAD), at least 70% of the very poor live in rural areas, most of them depending partly or completely on agriculture for their livelihoods. It is estimated that 500 million smallholder farms in the developing world are supporting almost 2 billion people, and in Asia and sub-Saharan Africa these small farms produce about 80 percent of the food consumed (IFAD, 2011). The rural poor often depend partly on forests for their livelihoods (World Bank, 2002). It is estimated that between 660 and 820 million people (workers and their families) depend totally or partly on fisheries, aquaculture and related industries as a source of income and support (HLPE, 2014).

This chapter is an extensive survey of all past studies relevant to the field of investigation which gives a knowledge of what others have found out in the related f ield of study. In any scientific investigation or research a comprehensive presentation of review of literature is a statutory requirement. Its main functions are to develop a better understanding of the problem to be investigated, delineate a new area of study and avoid unnecessary duplication, decide on the tools and techniques to be adopted including developing some new ones, also to relate the present study with the previous ones by finding out the areas of agreement and disagreement. The review of literature of the present study is based on the major concepts related to the f ield of investigation. As direct references on all the item are not in abundance, certain specific references along with some indirect references have been incorporated in this chapter for the purpose of meaningful use. Review of literature has been organized with a view to provide hard evidences as to clinically justify the reasons, logic, and contemplation leading to heuristically infer the different echelons of resilience issues.This is also catered to isolate the apparently less attempted genre of resilience study and analysis. Climate change, uncertainty, decline of soil organic carbon, fatigued genes on land, loss of biodiversity and fragile ecology of society have only been some of myriad of factors causing the loss of resilience, from ecology and from society as well.

3.1 Conceptual Framework Aconceptual framework is an analytical tool that is used to get a comprehensive understanding of the study. It embodies the specific direction by which the research will have to be undertaken. It is generally constructed to provide the researcher the element ofattainable and researchable problems and ideas supported by methodology, design, prospective analysis and empirical conclusion. The conceptual framework is often called as the research paradigm. The subject matter of the present research is Resilience and productivity of agriculture in different social-ecology: the farmers’ perception, status and interpretation. It is expected that the terminologies and concepts used to frame up the topic need to undergo brief explanation for the better understanding of its meaning. Resilience: Resilience is about anticipating, planning and reducing disaster risk to effectively protect persons, communities and countries, their livelihoods, health, cultural heritage, socio-economic assets and ecosystems. The ideas of ‘bounce back’, ‘spring forward’ and ‘build back better’ are often used in the context of resilience. Productivity: Productivity is commonly defined as a ratio between the output volume and the volume of inputs. It measures how efficiently production inputs, are being used in an economy to produce a given level of output. Agriculture: The word agriculture derives from the Latin ager (field) and colo (cultivate) signifying, when combined, the Latin agricultura: field or land tillage. But the word has come to subsume a very wide spectrum of activities that are integral to agriculture and have their own descriptive terms, such as cultivation, domestication, horticulture, arboriculture, and vegeculture, as well as forms of livestock management such as mixed crop-livestock farming, pastoralism, and transhumance. The Oxford English Dictionary (1971) defines agriculture as “The science and art of cultivating the soil, including the allied pursuits of gathering in the crops and rearing livestock; tillage, husbandry, farming.”

In any social science research, it is hardly possible to conceptualize and perceive the data and interpret the data more accurately until and unless a clear understanding of the characteristics in the area and attitude or the behavior of people is at commend of the interpreter who intends to unveil an understanding of the implication and behavioral complexes of the individual who live in the area under reference and form a representative part of the larger community. The socio-demographic background of the local people in a rural setting has been critically administered in this section. A research setting is a surrounding in which input and elements of research are contextually imbibed, interactive and mutually contributive to the system performance. Research setting is immensely important in the sense because it is characterizing and influencing the interplays of different factors and components. Besides the investigators must also have the basic knowledge about the socio demographic background of the people so as to have an easy understanding of their knowledge, attitude and behavior. Research setting refers to the detail information of an area where the study has been conducted. The study area, generally comprises of a particular geographical area viz. a state, district, block, or gram panchayat area selected according to the convenience of the investigator who possess adequate knowledge regarding the location, communication facility etc. of the locality so that he/she can easily approach each and every corner of the area for data collection. Here. in this study the data collection was done mostly over telephone based on the interview schedule due to Covid-19 pandemic situation.

5.1 Locale of Research Based on the All-India assessment report regarding Climate Vulnerability Assessment for Adaptation Planning in India Using a Common Framework which identifies the most vulnerable states and districts in India with respect to current climate risk and the main drivers of vulnerability, the present study has been conducted in two relatively highly vulnerable states of India namely West Bengal (Vulnerability Indices:0.592) and Jharkhand (Vulnerability Indices: 0.674). It specifically comes under Agro-climatic zone III (Lower Gangetic plain region) and Agro-climatic zone VII (Eastern plateau and hilly region) respectively. On the basis of Vulnerability Indices (Vis) different district of West Bengal classified into three categories i.e. relatively high vulnerability (0.59-0.69), moderate vulnerability (0.49 -0.59), and relatively low vulnerability (0.38- 0.49). Two districts, Malda (VIs:0.690) and Jalpaiguri (VIs:0.627) from highly vulnerable and three district Murshidabad (VIs:0.524), Dakshin Dinajpur (VIs:0.523) and Burdwan (VIs:0.497) from moderate vulnerable category were selected purposively for the present study. For satisfying the purposes three agroclimatic zones of the West Bengal, viz. Terai Zone (Jalpaigudi), Old Alluvial Zone (Murshidabad and Dakshin Dinajpur) and New Alluvial Zone (Burdwan) districts were taken into account for the assessment. Twenty respondents of two Villages from each Block i.e., Alipurduar-I of Jalpaigudi, Hilli and Gangarampur of Dakshin Dinajpur, Old Malda of Murshidabad and Barabani of East Burdwan were purposively picked for the research study.  

6.1. Data Interpretation and Visualization of West Bengal Any kind of production management system or decision-making process is being organised in social ecology. No variable cannot behave discrete or free without having any kind of influence as well as impact from the vary operating ecosystem. That is how it is imperative to know and visualize the basic features in terms of its distributive characters. The distribution of features in variables through this networking and interactions ultimately contribute to a holistic visualization of social ecologization under study. Table 6.1.1 represents the distribution of variables in terms of range i.e. maximum and minimum values, mean, standard deviation and coefficient of variation for Terai Zone, Old Alluvial Zone and New Alluvial Zone of West Bengal. The average age (x1) of the respondent stands at 49.02. It denotes that so far as responsibility of agriculture and age base livelihood runs at the population so far as the respondent under study is peaks are at the hands of farmers approaching or passing through old ages. On the contrary the absence of young population or withdrawal of young age farmers from agriculture have got a serious implecation near and far. The cv value runs at 25.78 per cent to indicate that the distribution of variable is highly consistant. The average of functional education (x2) of the respondent stands at 8.20.The variable education charecterization the social ecology speaks that the most of the respondents are having mid level school education.So, this has got spil over effect on the function and operation of other variables i.e. precisely the perception variables.The cv value stands at 43.69 per cent that’s good enough to infer that the distribution of the variable is highly consistent.

7.1 Summary Never ever in the annals of human civilization, the importance of ecological resilience has become so important and imperative as we are perceiving now. Both the need and greed of food economics have driven the resource bases of our ecosystem, to a dilapidated and fragile status. By 2050 the world’s population will touch close to 9.5 billion and we have to scale up our food production 60% more then what it is right now. In India by 2040, we have to cross 450 million tons of our targeted food production to keep rhythm with population growth. By 2035 we are going to cross the population of China. Understanding the cascade of risks for climate change, as well as the vulnerabilities to these risks, is key to frame ways to adapt. Reducing vulnerabilities is key to reducing the net impacts on food security and nutrition and also to reducing long-term effects. Increasing resilience of food security in the face of climate change calls for multiple interventions, from social protection to agricultural practices and risk management.. When population pressure is soaring up, the need to produce more food from less and less available land and water, the issues of ecological resilience are coming up more swashbuckling and humongous. The aftermath of green revolution has contributed to achievement in food security on one hand, the other hand water has been contaminated and depleted, soil has been eroded with a sharp decline of organic carbon. We are losing 15 tons of topsoil per hectare per year and inviting a disruptive agro-ecosystem, the syndrome of which are quite vivid and prominent.

There is no terminal of any kind of research, rather they presence a static snap of the gamut of ecological dynamics and functions. The following scopes for future research • To construct modelling on resilience, beyond agriculture like livestock f ishery, forestry. • To create new Algorithm of prediction in ecological behaviour and dynamics • Gender and economic factors in resilience study and analysis • Ecological resilience in different agro climatic zones covering coastal ecosystem, Himalayan ecosystem red lateritic ecosystem etc • Policy research in ensuring and intriguing ecological resilience as well as social resilience on the common platform of production behaviour • Importance of ecological resilience in the perspective of climate change and global warming

Abere, S. A. and Opara, J. (2012). Deforestation and Sustainable Development in the Tropics: Causes and Effect. J Educ Res., 2(4):104-109. Abhilash, P. C. (2021). Restoring the unrestored: strategies for restoring global land during the UN-Decade on Ecosystem Restoration (UN-DER). Land, 10:201. Abhilash, P. C., Bastianoni, S., Chen, W. (2021). Introducing Anthropocene Science: a new international journal for addressing human impact on the resilience of planet Earth. Anthr. Sci. (in Press). Abid, M., Scheffran, J., Schneider, U. A., Ashfaq, M. (2015). Farmers’ perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan. Earth Syst Dynam., 6(1):225–243. https://doi.org/10.5194/esd-6- 225-2015 Abid, M., Schneider, U. A., Scheffran, J. (2016). Adaptation to climate change and its impacts on food productivity and crop income: perspectives of farmers in rural Pakistan. J Rural Stud., 47:254–266. https://doi. org/10.1016/j.jrurstud.2016.08.005 Acharya, S. K. and Chakraborty, A. (2019). The Social Ecology of Agriculture and Food Security: The Future Extension in India: Strategy and Imperative. Acta sci. agric., 3(2):139-143.