eChapters

The research locale is a crucial aspect of any research study because it can have a significant impact on the data collected, the results obtained, and the conclusions drawn from the research. The selection of the research locale should be based on the research questions, objectives, and methodology of the study. The characteristics of the research locale such as its physical, social, cultural, and economic attributes, and the population being studied, can affect the research outcomes.

To accurately understand and interpret the data, used in social science research, it is necessary to have a thorough understanding of the attitude, behaviour and characteristics of the individuals who live in the area being studied. This section of the research critically examines the socio-demographic background of local people in a rural setting. The research setting refers to the context in which the research is conducted, and it plays a crucial role in shaping the interplay of different factors and components that influence the study’s outcomes. The research setting is essential because it provides a contextual framework that helps to inform the researcher’s interpretation of the data. By understanding the characteristics and context of the research area, the researcher can more accurately conceptualize and interpret the data, leading to a more nuanced understanding of the implications and behavioural complexities of the individual and the larger community.

Research methodology is the process of planning and executing a research study, including defining the research questions, selecting appropriate research design, data collection, analysis, and interpretation. The methodology is a blueprint of the research study that guides the researcher through each step of the research process. The research methodology is essential to ensure the validity, reliability, and generalization of the study.

This chapter provides an in-depth explanation of the research methodology used in the research. The purpose of this chapter is providing a clear understanding of the methods, techniques, and concepts used to design, implement, and analyse the research study. By understanding the methodology, readers can evaluate the reliability and validity of the study results.

The chapter is divided into several sub-headings for easy understanding of the methodology used:

• Research locale

• Sampling design

• Pilot study

• Variables and their measurements

The chapter focuses on presenting the outcomes and analysis of the research, aiming to offer ample information for reaching accurate conclusions. Within this chapter, tables and models are frequently employed to reinforce the textual content. The discussion section plays a crucial role in interpreting the research results appropriately and establishing connections with other pertinent studies.

The distribution characteristics of the variable Age (x1 ) reveals that the respondents’ ages range from a minimum of 27 to a maximum of 71. The average age is 48.675, suggesting that the majority of respondents fall into the middle-age category. The standard deviation is 11.574, indicating the degree of variability in the ages. Furthermore, the coefficient of variance (CV) is 23.779 percent, indicating a high level of consistency in the distribution pattern of the variable.

The distribution pattern of the variable Family size (x3 ) shows that the family size ranges from a minimum person of 3 to a maximum of 10 persons. The average family size is 10.125 persons. The standard deviation is 1.397. The coefficient of variance (CV) is 23.882 percent which indicates a high level of consistency in the distribution pattern of the variable.

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

The magnitude and trajectory of changes in ecosystem services and functioning have been as conspicuous as has never been until before 1980’s in this subcontinent. Both the services and resilience of agro-ecosystem, the pivotal for agricultural production and security have been disrupted in the name of modernization of agriculture as well as commercialization.
The impact of green revolution in India, that look place during 1960’s and 1970’s have started eroding very fast and as the consequence of this green revolution, the ground water depletion has gone to the worst, it is contaminated either. 40 % of ground water in Punjab has been moderately or severely contaminated leaving agriculture a coercive proposition both from economic and ecological perspective. 10-15 tonnes of top soil are being eroded per hectare per year in its wrong welcoming to farm mechanization process. Most of the highly yielding varieties which did the ‘magic revolution’ now has been fatigued or segregated either. The social-ecological impacts on agriculture perhaps have been both disruptive and deleterious. Due to unabated fragmentation of holding which again is tiny in size, has initiated another problem of resource and energy wastage, bad enough to add to an ecological disruptions.
With a non-denial to the gleaming success of green revolution, which ensured us with much awaited food security and self-reliance, has its intrinsic weakness and coercion as well.

This chapter reviews the research work done in the fields related to the objectives of the study. In any scientific investigation or research a comprehensive review of relevant literature is very essential. Its main function apart from determining the work done before concerning the problem area i.e. area of investigation, it provides an insight into the methods and procedures and create a basis for interpretation of findings. As direct references on all the item are not in abundance, certain specific references along with some indirect references have been incorporated this chapter for the purpose of meaningful use.
2.1. Ecosystem Services and Conservation Agriculture
Acharya, S. K. and Chatterjee, R. (2019) found that conservation agriculture may help in re-building agro-ecology by maintaining carbon sequestration, maintaining soil health, checking soil erosion and ground water depletion, energy balance, mitigating climate change related problems through maintaining ecosystem services.
Ayyam, V., Palanivel, S., and Chandrakasan, S. (2019) stated that CA embraces higher rates of carbon sequestration, organic matter accumulation, soil erosion reduction, and its associated improvement in soil biological properties. Additionally, there is reduction in greenhouse gas emission as a result of CA. Adoption of CA-based farming practices particularly in areas facing notable land degradation and depleting natural resources delineates a win-win scenario due to improved crop yield and trends of increasing soil fertility and scope for climate change adaptation to recuperate degraded soils and improve ecosystem services.

3. Contemporary Crisis in Global Agriculture
Over the past century, bunch of initiatives have been taken and achieved worldwide in expediting human welfare. Societies have also changed to great extent as a result of quantum leaps in technology, rapid globalization, and innovations in agricultural production systems. Perhaps the world ‘free of fear and want’ envisioned at the foundation programme of the United Nations is still a far cry.
Similarly, much work left to be fulfilled the vision of the Food and Agriculture Organization of the United Nations (FAO) and to make ‘a world free of hunger and malnutrition and one in which food and agriculture contribute to improving the living standards of all, especially the poorest, in an economically, socially, and environmentally sustainable manner’.
Amidst great plenty, millions of people still face pervasive poverty, inequalities, joblessness, natural resource depletion, environmental degradation, displacement, migration, disease, and deprivation. Majority of humanity’s progress has reached at a significant cost to the environment. The impacts of climate change are already being felt, and if left unabated; definitely will intensify to a considerable extent in the years coming. Besides, population dynamics will radically change demographics over the decades ahead. Growth in the world’s population is projected to be concentrated in Africa and South Asia and in the biggest cities.
Then agricultural production has to maintain pace with those of rising population for atleast a sustainable world. Although, agricultural production more than tripled between the years of 1960 and 2015, where Green Revolution owes to robust crop production and a significant increment in the use of land, water and other natural resources for agricultural purposes. This period witnessed a remarkable progress in both of industrialization and globalization of food and agriculture. At the same time changes in the length of food supply chains took place as the physical distance from farm to plate has increased dramatically; the consumption pattern of processed, packaged, and prepared foods has changed simultaneously in everywhere though the most in rural communities.

4. Research Setting
Research setting presents the set of an ecosystem, here social-ecological systems, where the variables and characters are created, evolved, characterized and interact with others. Research setting is not a stale or lentic ecosystem rather it is agile, evolving and dynamic, so in this present work, we have perceived research setting as the performing social-ecology which sustains and keeps constantly characterizing the behaviour and dynamics of the variables under study, e.g. a settlement in close proximity to natural water body is expected to have interaction with ethiophonal diversity and performing economy therewith similarly, another set of respondents with the same set of variables but living in a forest ecosystem. The interaction and exposition of the variables will follow a different expression and pathway. So, while we will go for modelling, with the same set of variables but in different ecological set up, it is expected that the nature of interaction and expression will follow the unique characters of the concerned ecosystem.
4.1. Area of Study
The area of investigation of this study is situated in the state of West Bengal located in the eastern part of India. The state of West Bengal in eastern India has unique social and ecological backgrounds which influence the living standard and behavioural patterns of the people in many ways. The present research design has accommodated two agro- ecological set ups in West Bengal, India, and these are New Alluvial and Terai zone.

The deliberation on the methodology has been made to understand the concept, methods, and techniques which were utilized to design the study, collection of information, analysis of the data and interpretation of the findings for revelation of truths and formulation of theories. This chapter deals with the method and a procedure used in the study and consists of eight main parts-
• Locale of research
• Pilot study
• Sampling Design and Framework
• Empirical measurement of the variables
• Item analysis and experts rating for devising scoring technique on dependent variables
• Preparation of interview Schedule
• Pre testing of Interview Schedule
• Techniques of Data collection
• Statistical Tools used for Analysis of Data
5.1. Locale of Research
The present research has been carried out at Kasthodanga, Mollabalia, Madhpur, Baksha, and Mitrapur villages of Kasthodanga gram panchayat in Haringhata block; Rautari, Ghetu Gachhi, Maniktala para, Tentul Baria, Maheswarpur from gram panchayat in Chakdaha block of Nadia district; Boinchigram, Goara, Chau bera, Uttarkhanda, Champahati villages of Bantika- Boinchi gram panchayat in Pandua Block; Dhopapara, Beleswar, Ichhapura, Tiornai, Baksagari from Dhopapara gram panchayat in Balagarh block of Hooghly district from the Alluvial zone of West Bengal. From the Terai zone of West Bengal, Elejanerkuthi, Kalabarighat, Hourgari, Ghughumari, Gokuler Kuthi, Hirar kuthi from Coochbehar- 1 block; Pundibari, Kalarayerkuthi, Sukhdhanerkuthi, Khagribari, Singimari Paschimpar, Basdaha Natibari, villages of Coochbehar- 2 block; Mirer Kuthi, Kismat Dasagram, Bara Shakdal, Kochabari, Bamanhat-ii, Durganagar, villages of Dinhata 2 block

First Part: Multivariate Statistical Analysis
6.1. Results
The chapter deals with the result and discussion of the study using multivariate statistical analysis and participatory Rural Appraisal (PRA) techniques with the purpose to provide sufficient information so as to arrive at valid conclusion. Tables and models are commonly used in this chapter to support and supplement the textual materials. Discussion helps to interpret the results of the study in proper perspective and to relate them with other relevant studies.
Axiomatic statement on the variable interactions and behaviour selected for the study
Research setting in the present study presents a dynamic social-ecology which is evolving along and across the undulation of social process. Both the structural and functional dimensions and behaviour are in constant interaction and response with the subject respondents in terms of innumerable variables. For the present research only some selected characters have been selected for empirical titration. There is no wonder these variables can be catalogued in terms of dependent or independent variables rather should not be distributed in a binary mode. Rather these variables are with seamless transformations like the algorithm of quantum physics. That is how whenever a set of x variables are supposed to behave with a contributor characters the same can be responsive with a recipient behaviour, e.g. in stepwise regression, set of ‘x variables’ are not considered as the only source of causal variables along with the couple of ‘y variables’ which are promoting rest other y variables have also been considered as causal variables. Hence, in case of y1, the rest of the y variables have to be treated like: y2 = y2' ; y3' = y3; y4 = y4' and so on.

7.1. Summary
The planet rise at this moment cannot endure and conjure up any further stress and distress created by un-mindful modernization of agriculture. This situation has gone further complex with the unabated rate of urbanization. The natural resources which looked plenty some 50 years back, now is coming up something scant and degraded. We have to protect this planet; hence, we have to protect our agriculture by placing ecological resilience with its perfect balance and dynamics. In doing so, we need to manage and recycle energy, water, and biodiversity in such a way that the operating agro-ecosystem can perform for another centuries. This is a herculean task, it will only be possible when farmers and other citizens are participating elegantly and equally into the process, because farmers are not producing food for their own, rather they are feeding the entire civilization. Every year 15-20 tonnes of top soils are being eroded, the highest anytime; the sea level is rising at the rate 5-10 mm again it has become highest over the last decades and the prediction for rate of changes in rainfall and temperature contributing to global warming has been accelerate like anything. In addition to this, we need to feed 950 crores of population by 2050, while lands are getting fragmented, resources are fragile, and water is getting increasingly contaminated. Thus, CA is the only option to create a perfect balance between productivity with increase of ecological resilience, even within the cropping system by introducing crop diversification with leguminous crops and this is specially so when the biodiversity is also getting eroded. Water harvesting is the need of the hour as we can make our farm more energy parsimonious, we have direct whatever crop residues are produced in the soil echelon and making this concept a revolution into a reality we have to go in a massive way with bring awareness, creating policies, and mobilizing community to make our agriculture ever- green and ever- resilient.
On this context the present research has been conducted with the following objectives:

Future Scope of the research
1. Inclusion of more number of relevant variables to generate and delineate complex interactions in the ecosystem functioning with a focus on agriculture, livestock, and forest.
2. The future research merits application of data analytics for visualization, prediction, and prescription of CA beyond time and geography
3. A robust Management Information System (MIS) needs to be the possibility of related to CA and allied natural resource management can help better and effective research interpretation and policy formulation as well,
4. Application of artificial intelligence can go immensely important in monitoring, auditing, and analyzing ecological services.
Recommendations from the study/ Area of Intervention
1. Rationalization of chemical fertilizer and pesticides in a gradual manner and for which there will an environmental policy in place,
2. A data bank needs to be created on agricultural pollution and necessary recommendation from the environment and pollution department need to be made,
3. Fragmentation has come out as one of the barrier towards the socialization of Conservation Agriculture since small farms are energy and input prodigal, so we have to go for community based farming or farm enterprise creation in state of isolated and individual endeavours,
4. Through panchayat and rural development sector policies need to be promulgated,
5. Gender issues are coming up very strong and conspicuous in Conservation Agriculture, the more is the women participation in CA, the better has been the success, hence, gender mobilization can be a program and policy of the government in making CA sustainable,

1.1 Weather Forecasting
Farmers have always been at the mercy of the weather, and accurate forecasting has become an essential tool for their decision-making process. Weather forecasts play a critical role in supporting farmers’ decision-making processes, from crop planning and management to harvest planning and economic decision-making. Crop planning and management is one of the key areas where weather forecasts are crucial. Farmers use weather forecasts to determine the best time to plant seeds, taking into account temperature, moisture, and sunlight requirements. This enables them to choose crops that are suitable for the predicted weather conditions. Additionally, forecasts help farmers optimize irrigation, reducing water waste and ensuring crops receive adequate moisture (Fig.1.1).
Weather forecasts also help farmers mitigate weather-related risks. Extreme weather events like floods, droughts, heat waves, and storms can have devastating effects on crops. Accurate forecasts enable farmers to prepare for and respond to these events, reducing crop damage and loss. For instance, forecasts help farmers take measures to protect crops from frost and freeze damage, which can be catastrophic for certain crops.